move ffmpeg capture to a separate thread and use a queue

.dockerignore

@@ -1,5 +1,5 @@
 README.md
-docs/
+diagram.png
 .gitignore
 debug
 config/

.github/ISSUE_TEMPLATE/bug_report.md

@@ -1,55 +0,0 @@
----
-name: Bug report
-about: Create a report to help us improve
-title: ''
-labels: ''
-assignees: ''
-
----
-
-**Describe the bug**
-A clear and concise description of what the bug is.
-
-**Version of frigate**
-What version are you using?
-
-**Config file**
-Include your full config file wrapped in triple back ticks.
-```yaml
-config here
-```
-
-**Logs**
-```
-Include relevant log output here
-```
-
-**Frigate debug stats**
-```
-Output from frigate's /debug/stats endpoint
-```
-
-**FFprobe from your camera**
-
-Run the following command and paste output below
-```
-ffprobe <stream_url>
-```
-
-**Screenshots**
-If applicable, add screenshots to help explain your problem.
-
-**Computer Hardware**
- - OS: [e.g. Ubuntu, Windows]
- - Virtualization: [e.g. Proxmox, Virtualbox]
- - Coral Version: [e.g. USB, PCIe, None]
- - Network Setup: [e.g. Wired, WiFi]
-
-**Camera Info:**
- - Manufacturer: [e.g. Dahua]
- - Model: [e.g. IPC-HDW5231R-ZE]
- - Resolution: [e.g. 720p]
- - FPS: [e.g. 5]
-
-**Additional context**
-Add any other context about the problem here.

Dockerfile

@@ -0,0 +1,59 @@
+FROM ubuntu:18.04
+LABEL maintainer "blakeb@blakeshome.com"
+
+ENV DEBIAN_FRONTEND=noninteractive
+# Install packages for apt repo
+RUN apt -qq update && apt -qq install --no-install-recommends -y \
+    software-properties-common \
+    # apt-transport-https ca-certificates \
+    build-essential \
+    gnupg wget unzip \
+    # libcap-dev \
+    && add-apt-repository ppa:deadsnakes/ppa -y \
+    && apt -qq install --no-install-recommends -y \
+        python3.7 \
+        python3.7-dev \
+        python3-pip \
+        ffmpeg \
+        # VAAPI drivers for Intel hardware accel
+        libva-drm2 libva2 i965-va-driver vainfo \
+    && python3.7 -m pip install -U wheel setuptools \
+    && python3.7 -m pip install -U \
+        opencv-python-headless \
+        # python-prctl \
+        numpy \
+        imutils \
+        scipy \
+    && python3.7 -m pip install -U \
+        Flask \
+        paho-mqtt \
+        PyYAML \
+        matplotlib \
+        pyarrow \
+    && echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" > /etc/apt/sources.list.d/coral-edgetpu.list \
+    && wget -q -O - https://packages.cloud.google.com/apt/doc/apt-key.gpg | apt-key add - \
+    && apt -qq update \
+    && echo "libedgetpu1-max libedgetpu/accepted-eula boolean true" | debconf-set-selections \
+    && apt -qq install --no-install-recommends -y \
+        libedgetpu1-max \
+    ## Tensorflow lite (python 3.7 only)
+    && wget -q https://dl.google.com/coral/python/tflite_runtime-2.1.0.post1-cp37-cp37m-linux_x86_64.whl \
+    && python3.7 -m pip install tflite_runtime-2.1.0.post1-cp37-cp37m-linux_x86_64.whl \
+    && rm tflite_runtime-2.1.0.post1-cp37-cp37m-linux_x86_64.whl \
+    && rm -rf /var/lib/apt/lists/* \
+    && (apt-get autoremove -y; apt-get autoclean -y)
+
+# get model and labels
+RUN wget -q https://github.com/google-coral/edgetpu/raw/master/test_data/mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite -O /edgetpu_model.tflite --trust-server-names
+RUN wget -q https://dl.google.com/coral/canned_models/coco_labels.txt -O /labelmap.txt --trust-server-names
+RUN wget -q https://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip -O /cpu_model.zip && \
+    unzip /cpu_model.zip detect.tflite -d / && \
+    mv /detect.tflite /cpu_model.tflite && \
+    rm /cpu_model.zip
+
+WORKDIR /opt/frigate/
+ADD frigate frigate/
+COPY detect_objects.py .
+COPY benchmark.py .
+
+CMD ["python3.7", "-u", "detect_objects.py"]

LICENSE

@@ -1,21 +1,661 @@
-The MIT License
+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
 
-Copyright (c) 2020 Blake Blackshear
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
 
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
+                            Preamble
 
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
+  The GNU Affero General Public License is a free, copyleft license for
+software and other kinds of works, specifically designed to ensure
+cooperation with the community in the case of network server software.
 
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-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+our General Public Licenses are intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
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+want it, that you can change the software or use pieces of it in new
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+
+  Developers that use our General Public Licenses protect your rights
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+
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+
+  A patent license is "discriminatory" if it does not include within
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+conditioned on the non-exercise of one or more of the rights that are
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+contain the covered work, unless you entered into that arrangement,
+or that patent license was granted, prior to 28 March 2007.
+
+  Nothing in this License shall be construed as excluding or limiting
+any implied license or other defenses to infringement that may
+otherwise be available to you under applicable patent law.
+
+  12. No Surrender of Others' Freedom.
+
+  If conditions are imposed on you (whether by court order, agreement or
+otherwise) that contradict the conditions of this License, they do not
+excuse you from the conditions of this License.  If you cannot convey a
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+not convey it at all.  For example, if you agree to terms that obligate you
+to collect a royalty for further conveying from those to whom you convey
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+
+  13. Remote Network Interaction; Use with the GNU General Public License.
+
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+Program, your modified version must prominently offer all users
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+permission to link or combine any covered work with a work licensed
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+
+  14. Revised Versions of this License.
+
+  The Free Software Foundation may publish revised and/or new versions of
+the GNU Affero General Public License from time to time.  Such new versions
+will be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+  Each version is given a distinguishing version number.  If the
+Program specifies that a certain numbered version of the GNU Affero General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU Affero General Public License, you may choose any version ever published
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+
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+  15. Disclaimer of Warranty.
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+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
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+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
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+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published
+    by the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

Makefile

@@ -1,49 +0,0 @@
-default_target: amd64_frigate
-
-amd64_wheels:
-	docker build --tag blakeblackshear/frigate-wheels:amd64 --file docker/Dockerfile.wheels .
-
-amd64_ffmpeg:
-	docker build --tag blakeblackshear/frigate-ffmpeg:1.0.0-amd64 --file docker/Dockerfile.ffmpeg.amd64 .
-
-amd64_frigate:
-	docker build --tag frigate-base --build-arg ARCH=amd64 --file docker/Dockerfile.base .
-	docker build --tag frigate --file docker/Dockerfile.amd64 .
-
-amd64_all: amd64_wheels amd64_ffmpeg amd64_frigate
-
-amd64nvidia_wheels:
-	docker build --tag blakeblackshear/frigate-wheels:amd64nvidia --file docker/Dockerfile.wheels .
-
-amd64nvidia_ffmpeg:
-	docker build --tag blakeblackshear/frigate-ffmpeg:1.0.0-amd64nvidia --file docker/Dockerfile.ffmpeg.amd64nvidia .
-
-amd64nvidia_frigate:
-	docker build --tag frigate-base --build-arg ARCH=amd64nvidia --file docker/Dockerfile.base .
-	docker build --tag frigate --file docker/Dockerfile.amd64nvidia .
-
-amd64nvidia_all: amd64nvidia_wheels amd64nvidia_ffmpeg amd64nvidia_frigate
-
-aarch64_wheels:
-	docker build --tag blakeblackshear/frigate-wheels:aarch64 --file docker/Dockerfile.wheels.aarch64 .
-
-aarch64_ffmpeg:
-	docker build --tag blakeblackshear/frigate-ffmpeg:1.0.0-aarch64 --file docker/Dockerfile.ffmpeg.aarch64 .
-
-aarch64_frigate:
-	docker build --tag frigate-base --build-arg ARCH=aarch64 --file docker/Dockerfile.base .
-	docker build --tag frigate --file docker/Dockerfile.aarch64 .
-
-armv7_all: armv7_wheels armv7_ffmpeg armv7_frigate
-
-armv7_wheels:
-	docker build --tag blakeblackshear/frigate-wheels:armv7 --file docker/Dockerfile.wheels .
-
-armv7_ffmpeg:
-	docker build --tag blakeblackshear/frigate-ffmpeg:1.0.0-armv7 --file docker/Dockerfile.ffmpeg.armv7 .
-
-armv7_frigate:
-	docker build --tag frigate-base --build-arg ARCH=armv7 --file docker/Dockerfile.base .
-	docker build --tag frigate --file docker/Dockerfile.armv7 .
-
-armv7_all: armv7_wheels armv7_ffmpeg armv7_frigate

benchmark.py

@@ -3,7 +3,7 @@ from statistics import mean
 import multiprocessing as mp
 import numpy as np
 import datetime
-from frigate.edgetpu import LocalObjectDetector, EdgeTPUProcess, RemoteObjectDetector, load_labels
+from frigate.edgetpu import ObjectDetector, EdgeTPUProcess, RemoteObjectDetector, load_labels
 
 my_frame = np.expand_dims(np.full((300,300,3), 1, np.uint8), axis=0)
 labels = load_labels('/labelmap.txt')
@@ -11,7 +11,7 @@ labels = load_labels('/labelmap.txt')
 ######
 # Minimal same process runner
 ######
-# object_detector = LocalObjectDetector()
+# object_detector = ObjectDetector()
 # tensor_input = np.expand_dims(np.full((300,300,3), 0, np.uint8), axis=0)
 
 # start = datetime.datetime.now().timestamp()
@@ -37,9 +37,11 @@ labels = load_labels('/labelmap.txt')
 # print(f"Processed for {duration:.2f} seconds.")
 # print(f"Average frame processing time: {mean(frame_times)*1000:.2f}ms")
 
-
-def start(id, num_detections, detection_queue, event):
-  object_detector = RemoteObjectDetector(str(id), '/labelmap.txt', detection_queue, event)
+######
+# Separate process runner
+######
+def start(id, num_detections, detection_queue):
+  object_detector = RemoteObjectDetector(str(id), '/labelmap.txt', detection_queue)
   start = datetime.datetime.now().timestamp()
 
   frame_times = []
@@ -49,39 +51,23 @@ def start(id, num_detections, detection_queue, event):
     frame_times.append(datetime.datetime.now().timestamp()-start_frame)
 
   duration = datetime.datetime.now().timestamp()-start
-  object_detector.cleanup()
   print(f"{id} - Processed for {duration:.2f} seconds.")
-  print(f"{id} - FPS: {object_detector.fps.eps():.2f}")
   print(f"{id} - Average frame processing time: {mean(frame_times)*1000:.2f}ms")
 
-######
-# Separate process runner
-######
-# event = mp.Event()
-# detection_queue = mp.Queue()
-# edgetpu_process = EdgeTPUProcess(detection_queue, {'1': event}, 'usb:0')
+edgetpu_process = EdgeTPUProcess()
 
-# start(1, 1000, edgetpu_process.detection_queue, event)
-# print(f"Average raw inference speed: {edgetpu_process.avg_inference_speed.value*1000:.2f}ms")
+# start(1, 1000, edgetpu_process.detect_lock, edgetpu_process.detect_ready, edgetpu_process.frame_ready)
 
 ####
 # Multiple camera processes
 ####
 camera_processes = []
-
-events = {}
 for x in range(0, 10):
-  events[str(x)] = mp.Event()
-detection_queue = mp.Queue()
-edgetpu_process_1 = EdgeTPUProcess(detection_queue, events, 'usb:0')
-edgetpu_process_2 = EdgeTPUProcess(detection_queue, events, 'usb:1')
-
-for x in range(0, 10):
-  camera_process = mp.Process(target=start, args=(x, 300, detection_queue, events[str(x)]))
+  camera_process = mp.Process(target=start, args=(x, 100, edgetpu_process.detection_queue))
   camera_process.daemon = True
   camera_processes.append(camera_process)
 
-start_time = datetime.datetime.now().timestamp()
+start = datetime.datetime.now().timestamp()
 
 for p in camera_processes:
   p.start()
@@ -89,5 +75,5 @@ for p in camera_processes:
 for p in camera_processes:
   p.join()
 
-duration = datetime.datetime.now().timestamp()-start_time
+duration = datetime.datetime.now().timestamp()-start
 print(f"Total - Processed for {duration:.2f} seconds.")

config/config.example.yml

@@ -0,0 +1,136 @@
+web_port: 5000
+
+mqtt:
+  host: mqtt.server.com
+  topic_prefix: frigate
+  # client_id: frigate # Optional -- set to override default client id of 'frigate' if running multiple instances
+  # user: username # Optional
+  #################
+  ## Environment variables that begin with 'FRIGATE_' may be referenced in {}.
+  ##   password: '{FRIGATE_MQTT_PASSWORD}'
+  #################
+  # password: password # Optional
+
+#################
+# Default ffmpeg args. Optional and can be overwritten per camera.
+# Should work with most RTSP cameras that send h264 video
+# Built from the properties below with:
+# "ffmpeg" + global_args + input_args + "-i" + input + output_args
+#################
+# ffmpeg:
+#   global_args:
+#     - -hide_banner
+#     - -loglevel
+#     - panic
+#   hwaccel_args: []
+#   input_args:
+#     - -avoid_negative_ts
+#     - make_zero
+#     - -fflags
+#     - nobuffer
+#     - -flags
+#     - low_delay
+#     - -strict
+#     - experimental
+#     - -fflags
+#     - +genpts+discardcorrupt
+#     - -vsync
+#     - drop
+#     - -rtsp_transport
+#     - tcp
+#     - -stimeout
+#     - '5000000'
+#     - -use_wallclock_as_timestamps
+#     - '1'
+#   output_args:
+#     - -f
+#     - rawvideo
+#     - -pix_fmt
+#     - rgb24
+
+####################
+# Global object configuration. Applies to all cameras
+# unless overridden at the camera levels.
+# Keys must be valid labels. By default, the model uses coco (https://dl.google.com/coral/canned_models/coco_labels.txt).
+# All labels from the model are reported over MQTT. These values are used to filter out false positives.
+# min_area (optional): minimum width*height of the bounding box for the detected person
+# max_area (optional): maximum width*height of the bounding box for the detected person
+# threshold (optional): The minimum decimal percentage (50% hit = 0.5) for the confidence from tensorflow
+####################
+objects:
+  track:
+    - person
+    - car
+    - truck
+  filters:
+    person:
+      min_area: 5000
+      max_area: 100000
+      threshold: 0.5
+
+cameras:
+  back:
+    ffmpeg:
+      ################
+      # Source passed to ffmpeg after the -i parameter. Supports anything compatible with OpenCV and FFmpeg.
+      # Environment variables that begin with 'FRIGATE_' may be referenced in {}
+      ################
+      input: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+      #################
+      # These values will override default values for just this camera
+      #################
+      # global_args: []
+      # hwaccel_args: []
+      # input_args: []
+      # output_args: []
+    
+    ################
+    ## Optionally specify the resolution of the video feed. Frigate will try to auto detect if not specified
+    ################
+    # height: 1280
+    # width: 720
+
+    ################
+    ## Optional mask. Must be the same aspect ratio as your video feed.
+    ## 
+    ## The mask works by looking at the bottom center of the bounding box for the detected
+    ## person in the image. If that pixel in the mask is a black pixel, it ignores it as a
+    ## false positive. In my mask, the grass and driveway visible from my backdoor camera 
+    ## are white. The garage doors, sky, and trees (anywhere it would be impossible for a 
+    ## person to stand) are black.
+    ## 
+    ## Masked areas are also ignored for motion detection.
+    ################
+    # mask: back-mask.bmp
+
+    ################
+    # Allows you to limit the framerate within frigate for cameras that do not support
+    # custom framerates. A value of 1 tells frigate to look at every frame, 2 every 2nd frame, 
+    # 3 every 3rd frame, etc.
+    ################
+    take_frame: 1
+
+    ################
+    # The expected framerate for the camera. Frigate will try and ensure it maintains this framerate
+    # by dropping frames as necessary. Setting this lower than the actual framerate will allow frigate
+    # to process every frame at the expense of realtime processing.
+    ################
+    fps: 5
+
+    ################
+    # Configuration for the snapshots in the debug view and mqtt
+    ################
+    snapshots:
+      show_timestamp: True
+
+    ################
+    # Camera level object config. This config is merged with the global config above.
+    ################
+    objects:
+      track:
+        - person
+      filters:
+        person:
+          min_area: 5000
+          max_area: 100000
+          threshold: 0.5

detect_objects.py

@@ -0,0 +1,337 @@
+import os
+import sys
+import traceback
+import signal
+import cv2
+import time
+import datetime
+import queue
+import yaml
+import threading
+import multiprocessing as mp
+import subprocess as sp
+import numpy as np
+import logging
+from flask import Flask, Response, make_response, jsonify, request
+import paho.mqtt.client as mqtt
+
+from frigate.video import track_camera, get_ffmpeg_input, get_frame_shape, CameraCapture, start_or_restart_ffmpeg
+from frigate.object_processing import TrackedObjectProcessor
+from frigate.util import EventsPerSecond
+from frigate.edgetpu import EdgeTPUProcess
+
+FRIGATE_VARS = {k: v for k, v in os.environ.items() if k.startswith('FRIGATE_')}
+
+with open('/config/config.yml') as f:
+    CONFIG = yaml.safe_load(f)
+
+MQTT_HOST = CONFIG['mqtt']['host']
+MQTT_PORT = CONFIG.get('mqtt', {}).get('port', 1883)
+MQTT_TOPIC_PREFIX = CONFIG.get('mqtt', {}).get('topic_prefix', 'frigate')
+MQTT_USER = CONFIG.get('mqtt', {}).get('user')
+MQTT_PASS = CONFIG.get('mqtt', {}).get('password')
+if not MQTT_PASS is None:
+    MQTT_PASS = MQTT_PASS.format(**FRIGATE_VARS)
+MQTT_CLIENT_ID = CONFIG.get('mqtt', {}).get('client_id', 'frigate')
+
+# Set the default FFmpeg config
+FFMPEG_CONFIG = CONFIG.get('ffmpeg', {})
+FFMPEG_DEFAULT_CONFIG = {
+    'global_args': FFMPEG_CONFIG.get('global_args', 
+        ['-hide_banner','-loglevel','panic']),
+    'hwaccel_args': FFMPEG_CONFIG.get('hwaccel_args',
+        []),
+    'input_args': FFMPEG_CONFIG.get('input_args',
+        ['-avoid_negative_ts', 'make_zero',
+         '-fflags', 'nobuffer',
+         '-flags', 'low_delay',
+         '-strict', 'experimental',
+         '-fflags', '+genpts+discardcorrupt',
+         '-vsync', 'drop',
+         '-rtsp_transport', 'tcp',
+         '-stimeout', '5000000',
+         '-use_wallclock_as_timestamps', '1']),
+    'output_args': FFMPEG_CONFIG.get('output_args',
+        ['-f', 'rawvideo',
+         '-pix_fmt', 'rgb24'])
+}
+
+GLOBAL_OBJECT_CONFIG = CONFIG.get('objects', {})
+
+WEB_PORT = CONFIG.get('web_port', 5000)
+DEBUG = (CONFIG.get('debug', '0') == '1')
+
+def start_plasma_store():
+    plasma_cmd = ['plasma_store', '-m', '400000000', '-s', '/tmp/plasma']
+    plasma_process = sp.Popen(plasma_cmd, stdout=sp.DEVNULL)
+    time.sleep(1)
+    rc = plasma_process.poll()
+    if rc is not None:
+        return None
+    return plasma_process
+
+class CameraWatchdog(threading.Thread):
+    def __init__(self, camera_processes, config, tflite_process, tracked_objects_queue, plasma_process):
+        threading.Thread.__init__(self)
+        self.camera_processes = camera_processes
+        self.config = config
+        self.tflite_process = tflite_process
+        self.tracked_objects_queue = tracked_objects_queue
+        self.plasma_process = plasma_process
+
+    def run(self):
+        time.sleep(10)
+        while True:
+            # wait a bit before checking
+            time.sleep(10)
+            
+            # check the plasma process
+            rc = self.plasma_process.poll()
+            if rc != None:
+                print(f"plasma_process exited unexpectedly with {rc}")
+                self.plasma_process = start_plasma_store()
+
+            # check the detection process
+            if (self.tflite_process.detection_start.value > 0.0 and 
+                datetime.datetime.now().timestamp() - self.tflite_process.detection_start.value > 10):
+                print("Detection appears to be stuck. Restarting detection process")
+                self.tflite_process.start_or_restart()
+            elif not self.tflite_process.detect_process.is_alive():
+                print("Detection appears to have stopped. Restarting detection process")
+                self.tflite_process.start_or_restart()
+
+            # check the camera processes
+            for name, camera_process in self.camera_processes.items():
+                process = camera_process['process']
+                if not process.is_alive():
+                    print(f"Track process for {name} is not alive. Starting again...")
+                    camera_process['fps'].value = float(self.config[name]['fps'])
+                    camera_process['skipped_fps'].value = 0.0
+                    camera_process['detection_fps'].value = 0.0
+                    camera_process['read_start'].value = 0.0
+                    process = mp.Process(target=track_camera, args=(name, self.config[name], GLOBAL_OBJECT_CONFIG, camera_process['frame_queue'],
+                        camera_process['frame_shape'], self.tflite_process.detection_queue, self.tracked_objects_queue, 
+                        camera_process['fps'], camera_process['skipped_fps'], camera_process['detection_fps'],
+                        camera_process['read_start']))
+                    process.daemon = True
+                    camera_process['process'] = process
+                    process.start()
+                    print(f"Track process started for {name}: {process.pid}")
+                
+                if not camera_process['capture_thread'].is_alive():
+                    frame_shape = camera_process['frame_shape']
+                    frame_size = frame_shape[0] * frame_shape[1] * frame_shape[2]
+                    ffmpeg_process = start_or_restart_ffmpeg(camera_process['ffmpeg_cmd'], frame_size)
+                    camera_capture = CameraCapture(name, ffmpeg_process, frame_shape, camera_process['frame_queue'], 
+                        camera_process['take_frame'], camera_process['camera_fps'])
+                    camera_capture.start()
+                    camera_process['ffmpeg_process'] = ffmpeg_process
+                    camera_process['capture_thread'] = camera_capture
+
+def main():
+    # connect to mqtt and setup last will
+    def on_connect(client, userdata, flags, rc):
+        print("On connect called")
+        if rc != 0:
+            if rc == 3:
+                print ("MQTT Server unavailable")
+            elif rc == 4:
+                print ("MQTT Bad username or password")
+            elif rc == 5:
+                print ("MQTT Not authorized")
+            else:
+                print ("Unable to connect to MQTT: Connection refused. Error code: " + str(rc))
+        # publish a message to signal that the service is running
+        client.publish(MQTT_TOPIC_PREFIX+'/available', 'online', retain=True)
+    client = mqtt.Client(client_id=MQTT_CLIENT_ID)
+    client.on_connect = on_connect
+    client.will_set(MQTT_TOPIC_PREFIX+'/available', payload='offline', qos=1, retain=True)
+    if not MQTT_USER is None:
+        client.username_pw_set(MQTT_USER, password=MQTT_PASS)
+    client.connect(MQTT_HOST, MQTT_PORT, 60)
+    client.loop_start()
+
+    plasma_process = start_plasma_store()
+
+    ##
+    # Setup config defaults for cameras
+    ##
+    for name, config in CONFIG['cameras'].items():
+        config['snapshots'] = {
+            'show_timestamp': config.get('snapshots', {}).get('show_timestamp', True)
+        }
+
+    # Queue for cameras to push tracked objects to
+    tracked_objects_queue = mp.SimpleQueue()
+    
+    # Start the shared tflite process
+    tflite_process = EdgeTPUProcess()
+
+    # start the camera processes
+    camera_processes = {}
+    for name, config in CONFIG['cameras'].items():
+        # Merge the ffmpeg config with the global config
+        ffmpeg = config.get('ffmpeg', {})
+        ffmpeg_input = get_ffmpeg_input(ffmpeg['input'])
+        ffmpeg_global_args = ffmpeg.get('global_args', FFMPEG_DEFAULT_CONFIG['global_args'])
+        ffmpeg_hwaccel_args = ffmpeg.get('hwaccel_args', FFMPEG_DEFAULT_CONFIG['hwaccel_args'])
+        ffmpeg_input_args = ffmpeg.get('input_args', FFMPEG_DEFAULT_CONFIG['input_args'])
+        ffmpeg_output_args = ffmpeg.get('output_args', FFMPEG_DEFAULT_CONFIG['output_args'])
+        ffmpeg_cmd = (['ffmpeg'] +
+                ffmpeg_global_args +
+                ffmpeg_hwaccel_args +
+                ffmpeg_input_args +
+                ['-i', ffmpeg_input] +
+                ffmpeg_output_args +
+                ['pipe:'])
+        
+        if 'width' in config and 'height' in config:
+            frame_shape = (config['height'], config['width'], 3)
+        else:
+            frame_shape = get_frame_shape(ffmpeg_input)
+
+        frame_size = frame_shape[0] * frame_shape[1] * frame_shape[2]
+        take_frame = config.get('take_frame', 1)
+
+        ffmpeg_process = start_or_restart_ffmpeg(ffmpeg_cmd, frame_size)
+        frame_queue = mp.SimpleQueue()
+        camera_fps = EventsPerSecond()
+        camera_fps.start()
+        camera_capture = CameraCapture(name, ffmpeg_process, frame_shape, frame_queue, take_frame, camera_fps)
+        camera_capture.start()
+
+        camera_processes[name] = {
+            'camera_fps': camera_fps,
+            'take_frame': take_frame,
+            'fps': mp.Value('d', float(config['fps'])),
+            'skipped_fps': mp.Value('d', 0.0),
+            'detection_fps': mp.Value('d', 0.0),
+            'read_start': mp.Value('d', 0.0),
+            'ffmpeg_process': ffmpeg_process,
+            'ffmpeg_cmd': ffmpeg_cmd,
+            'frame_queue': frame_queue,
+            'frame_shape': frame_shape,
+            'capture_thread': camera_capture
+        }
+
+        camera_process = mp.Process(target=track_camera, args=(name, config, GLOBAL_OBJECT_CONFIG, frame_queue, frame_shape,
+            tflite_process.detection_queue, tracked_objects_queue, camera_processes[name]['fps'], 
+            camera_processes[name]['skipped_fps'], camera_processes[name]['detection_fps'], 
+            camera_processes[name]['read_start']))
+        camera_process.daemon = True
+        camera_processes[name]['process'] = camera_process
+
+    for name, camera_process in camera_processes.items():
+        camera_process['process'].start()
+        print(f"Camera_process started for {name}: {camera_process['process'].pid}")
+    
+    object_processor = TrackedObjectProcessor(CONFIG['cameras'], client, MQTT_TOPIC_PREFIX, tracked_objects_queue)
+    object_processor.start()
+    
+    camera_watchdog = CameraWatchdog(camera_processes, CONFIG['cameras'], tflite_process, tracked_objects_queue, plasma_process)
+    camera_watchdog.start()
+
+    # create a flask app that encodes frames a mjpeg on demand
+    app = Flask(__name__)
+    log = logging.getLogger('werkzeug')
+    log.setLevel(logging.ERROR)
+
+    @app.route('/')
+    def ishealthy():
+        # return a healh
+        return "Frigate is running. Alive and healthy!"
+
+    @app.route('/debug/stack')
+    def processor_stack():
+        frame = sys._current_frames().get(object_processor.ident, None)
+        if frame:
+            return "<br>".join(traceback.format_stack(frame)), 200
+        else:
+            return "no frame found", 200
+
+    @app.route('/debug/print_stack')
+    def print_stack():
+        pid = int(request.args.get('pid', 0))
+        if pid == 0:
+            return "missing pid", 200
+        else:
+            os.kill(pid, signal.SIGUSR1)
+            return "check logs", 200
+
+    @app.route('/debug/stats')
+    def stats():
+        stats = {}
+
+        total_detection_fps = 0
+
+        for name, camera_stats in camera_processes.items():
+            total_detection_fps += camera_stats['detection_fps'].value
+            stats[name] = {
+                'fps': round(camera_stats['fps'].value, 2),
+                'skipped_fps': round(camera_stats['skipped_fps'].value, 2),
+                'detection_fps': round(camera_stats['detection_fps'].value, 2),
+                'read_start': camera_stats['read_start'].value,
+                'pid': camera_stats['process'].pid,
+                'ffmpeg_pid': camera_stats['ffmpeg_process'].pid
+            }
+        
+        stats['coral'] = {
+            'fps': round(total_detection_fps, 2),
+            'inference_speed': round(tflite_process.avg_inference_speed.value*1000, 2),
+            'detection_start': tflite_process.detection_start.value,
+            'pid': tflite_process.detect_process.pid
+        }
+
+        rc = camera_watchdog.plasma_process.poll()
+        stats['plasma_store_rc'] = rc
+
+        return jsonify(stats)
+
+    @app.route('/<camera_name>/<label>/best.jpg')
+    def best(camera_name, label):
+        if camera_name in CONFIG['cameras']:
+            best_frame = object_processor.get_best(camera_name, label)
+            if best_frame is None:
+                best_frame = np.zeros((720,1280,3), np.uint8)
+            best_frame = cv2.cvtColor(best_frame, cv2.COLOR_RGB2BGR)
+            ret, jpg = cv2.imencode('.jpg', best_frame)
+            response = make_response(jpg.tobytes())
+            response.headers['Content-Type'] = 'image/jpg'
+            return response
+        else:
+            return "Camera named {} not found".format(camera_name), 404
+
+    @app.route('/<camera_name>')
+    def mjpeg_feed(camera_name):
+        fps = int(request.args.get('fps', '3'))
+        height = int(request.args.get('h', '360'))
+        if camera_name in CONFIG['cameras']:
+            # return a multipart response
+            return Response(imagestream(camera_name, fps, height),
+                            mimetype='multipart/x-mixed-replace; boundary=frame')
+        else:
+            return "Camera named {} not found".format(camera_name), 404
+
+    def imagestream(camera_name, fps, height):
+        while True:
+            # max out at specified FPS
+            time.sleep(1/fps)
+            frame = object_processor.get_current_frame(camera_name)
+            if frame is None:
+                frame = np.zeros((height,int(height*16/9),3), np.uint8)
+
+            frame = cv2.resize(frame, dsize=(int(height*16/9), height), interpolation=cv2.INTER_LINEAR)
+            frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
+
+            ret, jpg = cv2.imencode('.jpg', frame)
+            yield (b'--frame\r\n'
+                b'Content-Type: image/jpeg\r\n\r\n' + jpg.tobytes() + b'\r\n\r\n')
+
+    app.run(host='0.0.0.0', port=WEB_PORT, debug=False)
+
+    object_processor.join()
+    
+    plasma_process.terminate()
+
+if __name__ == '__main__':
+    main()

docker/Dockerfile.aarch64

@@ -1,22 +0,0 @@
-FROM frigate-base
-LABEL maintainer "blakeb@blakeshome.com"
-
-ENV DEBIAN_FRONTEND=noninteractive
-# Install packages for apt repo
-RUN apt-get -qq update \
-    && apt-get -qq install --no-install-recommends -y \
-        # ffmpeg runtime dependencies
-        libgomp1 \
-        # runtime dependencies
-        libopenexr24 \
-        libgstreamer1.0-0 \
-        libgstreamer-plugins-base1.0-0 \
-        libopenblas-base \
-        libjpeg-turbo8 \
-        libpng16-16 \
-        libtiff5 \
-        libdc1394-22 \
-    ## Tensorflow lite
-    && pip3 install https://github.com/google-coral/pycoral/releases/download/release-frogfish/tflite_runtime-2.5.0-cp38-cp38-linux_aarch64.whl \
-    && rm -rf /var/lib/apt/lists/* \
-    && (apt-get autoremove -y; apt-get autoclean -y)

docker/Dockerfile.amd64

@@ -1,18 +0,0 @@
-FROM frigate-base
-LABEL maintainer "blakeb@blakeshome.com"
-
-# By default, use the i965 driver
-ENV LIBVA_DRIVER_NAME=i965
-# Install packages for apt repo
-RUN apt-get -qq update \
-    && apt-get -qq install --no-install-recommends -y \
-        # ffmpeg dependencies
-        libgomp1 \
-        # VAAPI drivers for Intel hardware accel
-        libva-drm2 libva2 i965-va-driver vainfo intel-media-va-driver mesa-va-drivers \
-        ## Tensorflow lite
-    && wget -q https://github.com/google-coral/pycoral/releases/download/release-frogfish/tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
-    && python3.8 -m pip install tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
-    && rm tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
-    && rm -rf /var/lib/apt/lists/* \
-    && (apt-get autoremove -y; apt-get autoclean -y)

docker/Dockerfile.amd64nvidia

@@ -1,47 +0,0 @@
-FROM frigate-base
-LABEL maintainer "blakeb@blakeshome.com"
-
-# Install packages for apt repo
-RUN apt-get -qq update \
-    && apt-get -qq install --no-install-recommends -y \
-        # ffmpeg dependencies
-        libgomp1 \
-        ## Tensorflow lite
-    && wget -q https://github.com/google-coral/pycoral/releases/download/release-frogfish/tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
-    && python3.8 -m pip install tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
-    && rm tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
-    && rm -rf /var/lib/apt/lists/* \
-    && (apt-get autoremove -y; apt-get autoclean -y)
-
-
-# nvidia layer (see https://gitlab.com/nvidia/container-images/cuda/blob/master/dist/11.1/ubuntu20.04-x86_64/base/Dockerfile)
-ENV	    NVIDIA_DRIVER_CAPABILITIES compute,utility,video
-
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    gnupg2 curl ca-certificates && \
-    curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub | apt-key add - && \
-    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \
-    echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list && \
-    apt-get purge --autoremove -y curl \
-    && rm -rf /var/lib/apt/lists/*
-
-ENV CUDA_VERSION 11.1.1
-
-# For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    cuda-cudart-11-1=11.1.74-1 \
-    cuda-compat-11-1 \
-    && ln -s cuda-11.1 /usr/local/cuda && \
-    rm -rf /var/lib/apt/lists/*
-
-# Required for nvidia-docker v1
-RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \
-    echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
-
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
-ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
-
-# nvidia-container-runtime
-ENV NVIDIA_VISIBLE_DEVICES all
-ENV NVIDIA_DRIVER_CAPABILITIES compute,utility,video
-ENV NVIDIA_REQUIRE_CUDA "cuda>=11.1 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 brand=tesla,driver>=450,driver<451"

docker/Dockerfile.armv7

@@ -1,24 +0,0 @@
-FROM frigate-base
-LABEL maintainer "blakeb@blakeshome.com"
-
-ENV DEBIAN_FRONTEND=noninteractive
-# Install packages for apt repo
-RUN apt-get -qq update \
-    && apt-get -qq install --no-install-recommends -y \
-        # ffmpeg runtime dependencies
-        libgomp1 \
-        # runtime dependencies
-        libopenexr24 \
-        libgstreamer1.0-0 \
-        libgstreamer-plugins-base1.0-0 \
-        libopenblas-base \
-        libjpeg-turbo8 \
-        libpng16-16 \
-        libtiff5 \
-        libdc1394-22 \
-        libaom0 \
-        libx265-179 \
-    ## Tensorflow lite
-    && pip3 install https://github.com/google-coral/pycoral/releases/download/release-frogfish/tflite_runtime-2.5.0-cp38-cp38-linux_armv7l.whl \
-    && rm -rf /var/lib/apt/lists/* \
-    && (apt-get autoremove -y; apt-get autoclean -y)

docker/Dockerfile.base

@@ -1,53 +0,0 @@
-ARG ARCH=amd64
-FROM blakeblackshear/frigate-wheels:${ARCH} as wheels
-FROM blakeblackshear/frigate-ffmpeg:1.0.0-${ARCH} as ffmpeg
-
-FROM ubuntu:20.04
-LABEL maintainer "blakeb@blakeshome.com"
-
-COPY --from=ffmpeg /usr/local /usr/local/
-
-COPY --from=wheels /wheels/. /wheels/
-
-ENV FLASK_ENV=development
-# ENV FONTCONFIG_PATH=/etc/fonts
-ENV DEBIAN_FRONTEND=noninteractive
-# Install packages for apt repo
-RUN apt-get -qq update \
-    && apt-get upgrade -y \
-    && apt-get -qq install --no-install-recommends -y \
-    gnupg wget unzip tzdata nginx libnginx-mod-rtmp \
-    && apt-get -qq install --no-install-recommends -y \
-        python3-pip \
-    && pip3 install -U /wheels/*.whl \
-    && APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn apt-key adv --fetch-keys https://packages.cloud.google.com/apt/doc/apt-key.gpg \
-    && echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" > /etc/apt/sources.list.d/coral-edgetpu.list \
-    && echo "libedgetpu1-max libedgetpu/accepted-eula select true" | debconf-set-selections \
-    && apt-get -qq update && apt-get -qq install --no-install-recommends -y \
-        libedgetpu1-max=15.0 \
-    && rm -rf /var/lib/apt/lists/* /wheels \
-    && (apt-get autoremove -y; apt-get autoclean -y)
-
-RUN pip3 install \
-    peewee \
-    zeroconf \
-    voluptuous
-
-COPY nginx/nginx.conf /etc/nginx/nginx.conf
-
-# get model and labels
-ARG MODEL_REFS=7064b94dd5b996189242320359dbab8b52c94a84
-COPY labelmap.txt /labelmap.txt
-RUN wget -q https://github.com/google-coral/edgetpu/raw/$MODEL_REFS/test_data/ssd_mobilenet_v2_coco_quant_postprocess_edgetpu.tflite -O /edgetpu_model.tflite
-RUN wget -q https://github.com/google-coral/edgetpu/raw/$MODEL_REFS/test_data/ssd_mobilenet_v2_coco_quant_postprocess.tflite -O /cpu_model.tflite
-
-WORKDIR /opt/frigate/
-ADD frigate frigate/
-
-COPY run.sh /run.sh
-RUN chmod +x /run.sh
-
-EXPOSE 5000
-EXPOSE 1935
-
-CMD ["/run.sh"]

docker/Dockerfile.ffmpeg.aarch64

@@ -1,474 +0,0 @@
-# inspired by:
-# https://github.com/collelog/ffmpeg/blob/master/4.3.1-alpine-rpi4-arm64v8.Dockerfile
-# https://github.com/mmastrac/ffmpeg-omx-rpi-docker/blob/master/Dockerfile
-# https://github.com/jrottenberg/ffmpeg/pull/158/files
-# https://github.com/jrottenberg/ffmpeg/pull/239
-FROM        ubuntu:20.04 AS base
-
-WORKDIR     /tmp/workdir
-
-ENV     DEBIAN_FRONTEND=noninteractive
-RUN     apt-get -yqq update && \
-        apt-get install -yq --no-install-recommends ca-certificates expat libgomp1 && \
-        apt-get autoremove -y && \
-        apt-get clean -y
-
-FROM base as build
-
-ENV         FFMPEG_VERSION=4.3.1 \
-            AOM_VERSION=v1.0.0 \
-            FDKAAC_VERSION=0.1.5 \
-            FREETYPE_VERSION=2.5.5 \
-            FRIBIDI_VERSION=0.19.7 \
-            KVAZAAR_VERSION=1.2.0 \
-            LAME_VERSION=3.100 \
-            LIBPTHREAD_STUBS_VERSION=0.4 \
-            LIBVIDSTAB_VERSION=1.1.0 \
-            LIBXCB_VERSION=1.13.1 \
-            XCBPROTO_VERSION=1.13 \
-            OGG_VERSION=1.3.2 \
-            OPENCOREAMR_VERSION=0.1.5 \
-            OPUS_VERSION=1.2 \
-            OPENJPEG_VERSION=2.1.2 \
-            THEORA_VERSION=1.1.1 \
-            VORBIS_VERSION=1.3.5 \
-            VPX_VERSION=1.8.0 \
-            WEBP_VERSION=1.0.2 \
-            X264_VERSION=20170226-2245-stable \
-            X265_VERSION=3.1.1 \
-            XAU_VERSION=1.0.9 \
-            XORG_MACROS_VERSION=1.19.2 \
-            XPROTO_VERSION=7.0.31 \
-            XVID_VERSION=1.3.4 \
-            LIBZMQ_VERSION=4.3.2 \
-            SRC=/usr/local
-
-ARG         FREETYPE_SHA256SUM="5d03dd76c2171a7601e9ce10551d52d4471cf92cd205948e60289251daddffa8 freetype-2.5.5.tar.gz"
-ARG         FRIBIDI_SHA256SUM="3fc96fa9473bd31dcb5500bdf1aa78b337ba13eb8c301e7c28923fea982453a8 0.19.7.tar.gz"
-ARG         LIBVIDSTAB_SHA256SUM="14d2a053e56edad4f397be0cb3ef8eb1ec3150404ce99a426c4eb641861dc0bb v1.1.0.tar.gz"
-ARG         OGG_SHA256SUM="e19ee34711d7af328cb26287f4137e70630e7261b17cbe3cd41011d73a654692 libogg-1.3.2.tar.gz"
-ARG         OPUS_SHA256SUM="77db45a87b51578fbc49555ef1b10926179861d854eb2613207dc79d9ec0a9a9 opus-1.2.tar.gz"
-ARG         THEORA_SHA256SUM="40952956c47811928d1e7922cda3bc1f427eb75680c3c37249c91e949054916b libtheora-1.1.1.tar.gz"
-ARG         VORBIS_SHA256SUM="6efbcecdd3e5dfbf090341b485da9d176eb250d893e3eb378c428a2db38301ce libvorbis-1.3.5.tar.gz"
-ARG         XVID_SHA256SUM="4e9fd62728885855bc5007fe1be58df42e5e274497591fec37249e1052ae316f xvidcore-1.3.4.tar.gz"
-ARG         LIBZMQ_SHA256SUM="02ecc88466ae38cf2c8d79f09cfd2675ba299a439680b64ade733e26a349edeb v4.3.2.tar.gz"
-
-
-ARG         LD_LIBRARY_PATH=/opt/ffmpeg/lib
-ARG         MAKEFLAGS="-j2"
-ARG         PKG_CONFIG_PATH="/opt/ffmpeg/share/pkgconfig:/opt/ffmpeg/lib/pkgconfig:/opt/ffmpeg/lib64/pkgconfig"
-ARG         PREFIX=/opt/ffmpeg
-ARG         LD_LIBRARY_PATH="/opt/ffmpeg/lib:/opt/ffmpeg/lib64:/usr/lib64:/usr/lib:/lib64:/lib"
-
-
-RUN      buildDeps="autoconf \
-                    automake \
-                    cmake \
-                    curl \
-                    bzip2 \
-                    libexpat1-dev \
-                    g++ \
-                    gcc \
-                    git \
-                    gperf \
-                    libtool \
-                    make \
-                    nasm \
-                    perl \
-                    pkg-config \
-                    python \
-                    libssl-dev \
-                    yasm \
-                    linux-headers-raspi2 \
-                    libomxil-bellagio-dev \
-                    zlib1g-dev" && \
-        apt-get -yqq update && \
-        apt-get install -yq --no-install-recommends ${buildDeps}
-## opencore-amr https://sourceforge.net/projects/opencore-amr/
-RUN \
-        DIR=/tmp/opencore-amr && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://versaweb.dl.sourceforge.net/project/opencore-amr/opencore-amr/opencore-amr-${OPENCOREAMR_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-shared  && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-## x264 http://www.videolan.org/developers/x264.html
-RUN \
-        DIR=/tmp/x264 && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://download.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-${X264_VERSION}.tar.bz2 | \
-        tar -jx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-shared --enable-pic --disable-cli && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### x265 http://x265.org/
-RUN \
-        DIR=/tmp/x265 && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://download.videolan.org/pub/videolan/x265/x265_${X265_VERSION}.tar.gz  | \
-        tar -zx && \
-        cd x265_${X265_VERSION}/build/linux && \
-        sed -i "/-DEXTRA_LIB/ s/$/ -DCMAKE_INSTALL_PREFIX=\${PREFIX}/" multilib.sh && \
-        sed -i "/^cmake/ s/$/ -DENABLE_CLI=OFF/" multilib.sh && \
-        export CXXFLAGS="${CXXFLAGS} -fPIC" && \
-        ./multilib.sh && \
-        make -C 8bit install && \
-        rm -rf ${DIR}
-### libogg https://www.xiph.org/ogg/
-RUN \
-        DIR=/tmp/ogg && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xiph.org/releases/ogg/libogg-${OGG_VERSION}.tar.gz && \
-        echo ${OGG_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f libogg-${OGG_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --enable-shared  && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### libopus https://www.opus-codec.org/
-RUN \
-        DIR=/tmp/opus && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://archive.mozilla.org/pub/opus/opus-${OPUS_VERSION}.tar.gz && \
-        echo ${OPUS_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f opus-${OPUS_VERSION}.tar.gz && \
-        autoreconf -fiv && \
-        ./configure --prefix="${PREFIX}" --enable-shared && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### libvorbis https://xiph.org/vorbis/
-RUN \
-        DIR=/tmp/vorbis && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xiph.org/releases/vorbis/libvorbis-${VORBIS_VERSION}.tar.gz && \
-        echo ${VORBIS_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f libvorbis-${VORBIS_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### libtheora http://www.theora.org/
-RUN \
-        DIR=/tmp/theora && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xiph.org/releases/theora/libtheora-${THEORA_VERSION}.tar.gz && \
-        echo ${THEORA_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f libtheora-${THEORA_VERSION}.tar.gz && \
-        curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.guess;hb=HEAD' -o config.guess && \
-        curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.sub;hb=HEAD' -o config.sub && \
-        ./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### libvpx https://www.webmproject.org/code/
-RUN \
-        DIR=/tmp/vpx && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://codeload.github.com/webmproject/libvpx/tar.gz/v${VPX_VERSION} | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-vp8 --enable-vp9 --enable-vp9-highbitdepth --enable-pic --enable-shared \
-        --disable-debug --disable-examples --disable-docs --disable-install-bins  && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### libwebp https://developers.google.com/speed/webp/
-RUN \
-        DIR=/tmp/vebp && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://storage.googleapis.com/downloads.webmproject.org/releases/webp/libwebp-${WEBP_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-shared  && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### libmp3lame http://lame.sourceforge.net/
-RUN \
-        DIR=/tmp/lame && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://versaweb.dl.sourceforge.net/project/lame/lame/$(echo ${LAME_VERSION} | sed -e 's/[^0-9]*\([0-9]*\)[.]\([0-9]*\)[.]\([0-9]*\)\([0-9A-Za-z-]*\)/\1.\2/')/lame-${LAME_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" --enable-shared --enable-nasm --disable-frontend && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### xvid https://www.xvid.com/
-RUN \
-        DIR=/tmp/xvid && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xvid.org/downloads/xvidcore-${XVID_VERSION}.tar.gz && \
-        echo ${XVID_SHA256SUM} | sha256sum --check && \
-        tar -zx -f xvidcore-${XVID_VERSION}.tar.gz && \
-        cd xvidcore/build/generic && \
-        ./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### fdk-aac https://github.com/mstorsjo/fdk-aac
-RUN \
-        DIR=/tmp/fdk-aac && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://github.com/mstorsjo/fdk-aac/archive/v${FDKAAC_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        autoreconf -fiv && \
-        ./configure --prefix="${PREFIX}" --enable-shared --datadir="${DIR}" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-## openjpeg https://github.com/uclouvain/openjpeg
-RUN \
-        DIR=/tmp/openjpeg && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://github.com/uclouvain/openjpeg/archive/v${OPENJPEG_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        export CFLAGS="${CFLAGS} -DPNG_ARM_NEON_OPT=0" && \
-        cmake -DBUILD_THIRDPARTY:BOOL=ON -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-## freetype https://www.freetype.org/
-RUN  \
-        DIR=/tmp/freetype && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://download.savannah.gnu.org/releases/freetype/freetype-${FREETYPE_VERSION}.tar.gz && \
-        echo ${FREETYPE_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f freetype-${FREETYPE_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-## libvstab https://github.com/georgmartius/vid.stab
-RUN  \
-        DIR=/tmp/vid.stab && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/georgmartius/vid.stab/archive/v${LIBVIDSTAB_VERSION}.tar.gz && \
-        echo ${LIBVIDSTAB_SHA256SUM} | sha256sum --check &&  \
-        tar -zx --strip-components=1 -f v${LIBVIDSTAB_VERSION}.tar.gz && \
-        cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-## fridibi https://www.fribidi.org/
-RUN  \
-        DIR=/tmp/fribidi && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/fribidi/fribidi/archive/${FRIBIDI_VERSION}.tar.gz && \
-        echo ${FRIBIDI_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f ${FRIBIDI_VERSION}.tar.gz && \
-        sed -i 's/^SUBDIRS =.*/SUBDIRS=gen.tab charset lib bin/' Makefile.am && \
-        ./bootstrap --no-config --auto && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make -j1 && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-## kvazaar https://github.com/ultravideo/kvazaar
-RUN \
-        DIR=/tmp/kvazaar && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/ultravideo/kvazaar/archive/v${KVAZAAR_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f v${KVAZAAR_VERSION}.tar.gz && \
-        ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/aom && \
-        git clone --branch ${AOM_VERSION} --depth 1 https://aomedia.googlesource.com/aom ${DIR} ; \
-        cd ${DIR} ; \
-        rm -rf CMakeCache.txt CMakeFiles ; \
-        mkdir -p ./aom_build ; \
-        cd ./aom_build ; \
-        cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" -DBUILD_SHARED_LIBS=1 ..; \
-        make ; \
-        make install ; \
-        rm -rf ${DIR}
-
-## libxcb (and supporting libraries) for screen capture https://xcb.freedesktop.org/
-RUN \
-        DIR=/tmp/xorg-macros && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://www.x.org/archive//individual/util/util-macros-${XORG_MACROS_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f util-macros-${XORG_MACROS_VERSION}.tar.gz && \
-        ./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/xproto && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://www.x.org/archive/individual/proto/xproto-${XPROTO_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f xproto-${XPROTO_VERSION}.tar.gz && \
-        curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.guess;hb=HEAD' -o config.guess && \
-        curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.sub;hb=HEAD' -o config.sub && \
-        ./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libXau && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://www.x.org/archive/individual/lib/libXau-${XAU_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f libXau-${XAU_VERSION}.tar.gz && \
-        ./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libpthread-stubs && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://xcb.freedesktop.org/dist/libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libxcb-proto && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://xcb.freedesktop.org/dist/xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
-        ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libxcb && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://xcb.freedesktop.org/dist/libxcb-${LIBXCB_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f libxcb-${LIBXCB_VERSION}.tar.gz && \
-        ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-## libzmq https://github.com/zeromq/libzmq/
-RUN \
-        DIR=/tmp/libzmq && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/zeromq/libzmq/archive/v${LIBZMQ_VERSION}.tar.gz && \
-        echo ${LIBZMQ_SHA256SUM} | sha256sum --check && \
-        tar -xz --strip-components=1 -f v${LIBZMQ_VERSION}.tar.gz && \
-        ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" && \
-        make -j $(nproc) && \
-        make check && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-## ffmpeg https://ffmpeg.org/
-RUN  \
-        DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
-        curl -sLO https://ffmpeg.org/releases/ffmpeg-${FFMPEG_VERSION}.tar.bz2 && \
-        tar -jx --strip-components=1 -f ffmpeg-${FFMPEG_VERSION}.tar.bz2
-
-RUN \
-        DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
-        ./configure \
-        --disable-debug \
-        --disable-doc \
-        --disable-ffplay \
-        --enable-shared \
-        --enable-avresample \
-        --enable-libopencore-amrnb \
-        --enable-libopencore-amrwb \
-        --enable-gpl \
-        --enable-libfreetype \
-        --enable-libvidstab \
-        --enable-libmp3lame \
-        --enable-libopus \
-        --enable-libtheora \
-        --enable-libvorbis \
-        --enable-libvpx \
-        --enable-libwebp \
-        --enable-libxcb \
-        --enable-libx265 \
-        --enable-libxvid \
-        --enable-libx264 \
-        --enable-nonfree \
-        --enable-openssl \
-        --enable-libfdk_aac \
-        --enable-postproc \
-        --enable-small \
-        --enable-version3 \
-        --enable-libzmq \
-        --extra-libs=-ldl \
-        --prefix="${PREFIX}" \
-        --enable-libopenjpeg \
-        --enable-libkvazaar \
-        --enable-libaom \
-        --extra-libs=-lpthread \
-        # --enable-omx \
-        # --enable-omx-rpi \
-        # --enable-mmal \
-        --enable-v4l2_m2m \
-        --enable-neon \
-        --extra-cflags="-I${PREFIX}/include" \
-        --extra-ldflags="-L${PREFIX}/lib" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        make tools/zmqsend && cp tools/zmqsend ${PREFIX}/bin/ && \
-        make distclean && \
-        hash -r && \
-        cd tools && \
-        make qt-faststart && cp qt-faststart ${PREFIX}/bin/
-
-## cleanup
-RUN \
-        ldd ${PREFIX}/bin/ffmpeg | grep opt/ffmpeg | cut -d ' ' -f 3 | xargs -i cp {} /usr/local/lib/ && \
-        for lib in /usr/local/lib/*.so.*; do ln -s "${lib##*/}" "${lib%%.so.*}".so; done && \
-        cp ${PREFIX}/bin/* /usr/local/bin/ && \
-        cp -r ${PREFIX}/share/ffmpeg /usr/local/share/ && \
-        LD_LIBRARY_PATH=/usr/local/lib ffmpeg -buildconf && \
-        cp -r ${PREFIX}/include/libav* ${PREFIX}/include/libpostproc ${PREFIX}/include/libsw* /usr/local/include && \
-        mkdir -p /usr/local/lib/pkgconfig && \
-        for pc in ${PREFIX}/lib/pkgconfig/libav*.pc ${PREFIX}/lib/pkgconfig/libpostproc.pc ${PREFIX}/lib/pkgconfig/libsw*.pc; do \
-          sed "s:${PREFIX}:/usr/local:g" <"$pc" >/usr/local/lib/pkgconfig/"${pc##*/}"; \
-        done
-
-FROM        base AS release
-
-ENV         LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib64:/usr/lib:/usr/lib64:/lib:/lib64
-
-CMD         ["--help"]
-ENTRYPOINT  ["ffmpeg"]
-
-COPY --from=build /usr/local /usr/local/
-
-# Run ffmpeg with -c:v h264_v4l2m2m to enable HW accell for decoding on raspberry pi4 64-bit

docker/Dockerfile.ffmpeg.amd64

@@ -1,466 +0,0 @@
-# inspired by:
-# https://github.com/collelog/ffmpeg/blob/master/4.3.1-alpine-rpi4-arm64v8.Dockerfile
-# https://github.com/jrottenberg/ffmpeg/pull/158/files
-# https://github.com/jrottenberg/ffmpeg/pull/239
-FROM        ubuntu:20.04 AS base
-
-WORKDIR     /tmp/workdir
-
-ENV     DEBIAN_FRONTEND=noninteractive
-RUN     apt-get -yqq update && \
-        apt-get install -yq --no-install-recommends ca-certificates expat libgomp1 && \
-        apt-get autoremove -y && \
-        apt-get clean -y
-
-FROM base as build
-
-ENV         FFMPEG_VERSION=4.3.1 \
-            AOM_VERSION=v1.0.0 \
-            FDKAAC_VERSION=0.1.5 \
-            FREETYPE_VERSION=2.5.5 \
-            FRIBIDI_VERSION=0.19.7 \
-            KVAZAAR_VERSION=1.2.0 \
-            LAME_VERSION=3.100 \
-            LIBPTHREAD_STUBS_VERSION=0.4 \
-            LIBVIDSTAB_VERSION=1.1.0 \
-            LIBXCB_VERSION=1.13.1 \
-            XCBPROTO_VERSION=1.13 \
-            OGG_VERSION=1.3.2 \
-            OPENCOREAMR_VERSION=0.1.5 \
-            OPUS_VERSION=1.2 \
-            OPENJPEG_VERSION=2.1.2 \
-            THEORA_VERSION=1.1.1 \
-            VORBIS_VERSION=1.3.5 \
-            VPX_VERSION=1.8.0 \
-            WEBP_VERSION=1.0.2 \
-            X264_VERSION=20170226-2245-stable \
-            X265_VERSION=3.1.1 \
-            XAU_VERSION=1.0.9 \
-            XORG_MACROS_VERSION=1.19.2 \
-            XPROTO_VERSION=7.0.31 \
-            XVID_VERSION=1.3.4 \
-            LIBZMQ_VERSION=4.3.2 \
-            SRC=/usr/local
-
-ARG         FREETYPE_SHA256SUM="5d03dd76c2171a7601e9ce10551d52d4471cf92cd205948e60289251daddffa8 freetype-2.5.5.tar.gz"
-ARG         FRIBIDI_SHA256SUM="3fc96fa9473bd31dcb5500bdf1aa78b337ba13eb8c301e7c28923fea982453a8 0.19.7.tar.gz"
-ARG         LIBVIDSTAB_SHA256SUM="14d2a053e56edad4f397be0cb3ef8eb1ec3150404ce99a426c4eb641861dc0bb v1.1.0.tar.gz"
-ARG         OGG_SHA256SUM="e19ee34711d7af328cb26287f4137e70630e7261b17cbe3cd41011d73a654692 libogg-1.3.2.tar.gz"
-ARG         OPUS_SHA256SUM="77db45a87b51578fbc49555ef1b10926179861d854eb2613207dc79d9ec0a9a9 opus-1.2.tar.gz"
-ARG         THEORA_SHA256SUM="40952956c47811928d1e7922cda3bc1f427eb75680c3c37249c91e949054916b libtheora-1.1.1.tar.gz"
-ARG         VORBIS_SHA256SUM="6efbcecdd3e5dfbf090341b485da9d176eb250d893e3eb378c428a2db38301ce libvorbis-1.3.5.tar.gz"
-ARG         XVID_SHA256SUM="4e9fd62728885855bc5007fe1be58df42e5e274497591fec37249e1052ae316f xvidcore-1.3.4.tar.gz"
-ARG         LIBZMQ_SHA256SUM="02ecc88466ae38cf2c8d79f09cfd2675ba299a439680b64ade733e26a349edeb v4.3.2.tar.gz"
-
-
-ARG         LD_LIBRARY_PATH=/opt/ffmpeg/lib
-ARG         MAKEFLAGS="-j2"
-ARG         PKG_CONFIG_PATH="/opt/ffmpeg/share/pkgconfig:/opt/ffmpeg/lib/pkgconfig:/opt/ffmpeg/lib64/pkgconfig"
-ARG         PREFIX=/opt/ffmpeg
-ARG         LD_LIBRARY_PATH="/opt/ffmpeg/lib:/opt/ffmpeg/lib64:/usr/lib64:/usr/lib:/lib64:/lib"
-
-
-RUN      buildDeps="autoconf \
-                    automake \
-                    cmake \
-                    curl \
-                    bzip2 \
-                    libexpat1-dev \
-                    g++ \
-                    gcc \
-                    git \
-                    gperf \
-                    libtool \
-                    make \
-                    nasm \
-                    perl \
-                    pkg-config \
-                    python \
-                    libssl-dev \
-                    yasm \
-                    libva-dev \
-                    zlib1g-dev" && \
-        apt-get -yqq update && \
-        apt-get install -yq --no-install-recommends ${buildDeps}
-## opencore-amr https://sourceforge.net/projects/opencore-amr/
-RUN \
-        DIR=/tmp/opencore-amr && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://versaweb.dl.sourceforge.net/project/opencore-amr/opencore-amr/opencore-amr-${OPENCOREAMR_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-shared  && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-## x264 http://www.videolan.org/developers/x264.html
-RUN \
-        DIR=/tmp/x264 && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://download.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-${X264_VERSION}.tar.bz2 | \
-        tar -jx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-shared --enable-pic --disable-cli && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### x265 http://x265.org/
-RUN \
-        DIR=/tmp/x265 && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://download.videolan.org/pub/videolan/x265/x265_${X265_VERSION}.tar.gz  | \
-        tar -zx && \
-        cd x265_${X265_VERSION}/build/linux && \
-        sed -i "/-DEXTRA_LIB/ s/$/ -DCMAKE_INSTALL_PREFIX=\${PREFIX}/" multilib.sh && \
-        sed -i "/^cmake/ s/$/ -DENABLE_CLI=OFF/" multilib.sh && \
-        ./multilib.sh && \
-        make -C 8bit install && \
-        rm -rf ${DIR}
-### libogg https://www.xiph.org/ogg/
-RUN \
-        DIR=/tmp/ogg && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xiph.org/releases/ogg/libogg-${OGG_VERSION}.tar.gz && \
-        echo ${OGG_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f libogg-${OGG_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --enable-shared  && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### libopus https://www.opus-codec.org/
-RUN \
-        DIR=/tmp/opus && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://archive.mozilla.org/pub/opus/opus-${OPUS_VERSION}.tar.gz && \
-        echo ${OPUS_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f opus-${OPUS_VERSION}.tar.gz && \
-        autoreconf -fiv && \
-        ./configure --prefix="${PREFIX}" --enable-shared && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### libvorbis https://xiph.org/vorbis/
-RUN \
-        DIR=/tmp/vorbis && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xiph.org/releases/vorbis/libvorbis-${VORBIS_VERSION}.tar.gz && \
-        echo ${VORBIS_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f libvorbis-${VORBIS_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### libtheora http://www.theora.org/
-RUN \
-        DIR=/tmp/theora && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xiph.org/releases/theora/libtheora-${THEORA_VERSION}.tar.gz && \
-        echo ${THEORA_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f libtheora-${THEORA_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### libvpx https://www.webmproject.org/code/
-RUN \
-        DIR=/tmp/vpx && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://codeload.github.com/webmproject/libvpx/tar.gz/v${VPX_VERSION} | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-vp8 --enable-vp9 --enable-vp9-highbitdepth --enable-pic --enable-shared \
-        --disable-debug --disable-examples --disable-docs --disable-install-bins  && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### libwebp https://developers.google.com/speed/webp/
-RUN \
-        DIR=/tmp/vebp && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://storage.googleapis.com/downloads.webmproject.org/releases/webp/libwebp-${WEBP_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-shared  && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### libmp3lame http://lame.sourceforge.net/
-RUN \
-        DIR=/tmp/lame && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://versaweb.dl.sourceforge.net/project/lame/lame/$(echo ${LAME_VERSION} | sed -e 's/[^0-9]*\([0-9]*\)[.]\([0-9]*\)[.]\([0-9]*\)\([0-9A-Za-z-]*\)/\1.\2/')/lame-${LAME_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" --enable-shared --enable-nasm --disable-frontend && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### xvid https://www.xvid.com/
-RUN \
-        DIR=/tmp/xvid && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xvid.org/downloads/xvidcore-${XVID_VERSION}.tar.gz && \
-        echo ${XVID_SHA256SUM} | sha256sum --check && \
-        tar -zx -f xvidcore-${XVID_VERSION}.tar.gz && \
-        cd xvidcore/build/generic && \
-        ./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### fdk-aac https://github.com/mstorsjo/fdk-aac
-RUN \
-        DIR=/tmp/fdk-aac && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://github.com/mstorsjo/fdk-aac/archive/v${FDKAAC_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        autoreconf -fiv && \
-        ./configure --prefix="${PREFIX}" --enable-shared --datadir="${DIR}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-## openjpeg https://github.com/uclouvain/openjpeg
-RUN \
-        DIR=/tmp/openjpeg && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://github.com/uclouvain/openjpeg/archive/v${OPENJPEG_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        cmake -DBUILD_THIRDPARTY:BOOL=ON -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-## freetype https://www.freetype.org/
-RUN  \
-        DIR=/tmp/freetype && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://download.savannah.gnu.org/releases/freetype/freetype-${FREETYPE_VERSION}.tar.gz && \
-        echo ${FREETYPE_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f freetype-${FREETYPE_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-## libvstab https://github.com/georgmartius/vid.stab
-RUN  \
-        DIR=/tmp/vid.stab && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/georgmartius/vid.stab/archive/v${LIBVIDSTAB_VERSION}.tar.gz && \
-        echo ${LIBVIDSTAB_SHA256SUM} | sha256sum --check &&  \
-        tar -zx --strip-components=1 -f v${LIBVIDSTAB_VERSION}.tar.gz && \
-        cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-## fridibi https://www.fribidi.org/
-RUN  \
-        DIR=/tmp/fribidi && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/fribidi/fribidi/archive/${FRIBIDI_VERSION}.tar.gz && \
-        echo ${FRIBIDI_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f ${FRIBIDI_VERSION}.tar.gz && \
-        sed -i 's/^SUBDIRS =.*/SUBDIRS=gen.tab charset lib bin/' Makefile.am && \
-        ./bootstrap --no-config --auto && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make -j1 && \
-        make install && \
-        rm -rf ${DIR}
-## kvazaar https://github.com/ultravideo/kvazaar
-RUN \
-        DIR=/tmp/kvazaar && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/ultravideo/kvazaar/archive/v${KVAZAAR_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f v${KVAZAAR_VERSION}.tar.gz && \
-        ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/aom && \
-        git clone --branch ${AOM_VERSION} --depth 1 https://aomedia.googlesource.com/aom ${DIR} ; \
-        cd ${DIR} ; \
-        rm -rf CMakeCache.txt CMakeFiles ; \
-        mkdir -p ./aom_build ; \
-        cd ./aom_build ; \
-        cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" -DBUILD_SHARED_LIBS=1 ..; \
-        make ; \
-        make install ; \
-        rm -rf ${DIR}
-
-## libxcb (and supporting libraries) for screen capture https://xcb.freedesktop.org/
-RUN \
-        DIR=/tmp/xorg-macros && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://www.x.org/archive//individual/util/util-macros-${XORG_MACROS_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f util-macros-${XORG_MACROS_VERSION}.tar.gz && \
-        ./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/xproto && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://www.x.org/archive/individual/proto/xproto-${XPROTO_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f xproto-${XPROTO_VERSION}.tar.gz && \
-        ./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libXau && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://www.x.org/archive/individual/lib/libXau-${XAU_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f libXau-${XAU_VERSION}.tar.gz && \
-        ./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libpthread-stubs && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://xcb.freedesktop.org/dist/libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libxcb-proto && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://xcb.freedesktop.org/dist/xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
-        ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libxcb && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://xcb.freedesktop.org/dist/libxcb-${LIBXCB_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f libxcb-${LIBXCB_VERSION}.tar.gz && \
-        ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-## libzmq https://github.com/zeromq/libzmq/
-RUN \
-        DIR=/tmp/libzmq && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/zeromq/libzmq/archive/v${LIBZMQ_VERSION}.tar.gz && \
-        echo ${LIBZMQ_SHA256SUM} | sha256sum --check && \
-        tar -xz --strip-components=1 -f v${LIBZMQ_VERSION}.tar.gz && \
-        ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" && \
-        make && \
-        make check && \
-        make install && \
-        rm -rf ${DIR}
-
-## ffmpeg https://ffmpeg.org/
-RUN  \
-        DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
-        curl -sLO https://ffmpeg.org/releases/ffmpeg-${FFMPEG_VERSION}.tar.bz2 && \
-        tar -jx --strip-components=1 -f ffmpeg-${FFMPEG_VERSION}.tar.bz2
-
-
-
-RUN \
-        DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
-        ./configure \
-        --disable-debug \
-        --disable-doc \
-        --disable-ffplay \
-        --enable-shared \
-        --enable-avresample \
-        --enable-libopencore-amrnb \
-        --enable-libopencore-amrwb \
-        --enable-gpl \
-        --enable-libfreetype \
-        --enable-libvidstab \
-        --enable-libmp3lame \
-        --enable-libopus \
-        --enable-libtheora \
-        --enable-libvorbis \
-        --enable-libvpx \
-        --enable-libwebp \
-        --enable-libxcb \
-        --enable-libx265 \
-        --enable-libxvid \
-        --enable-libx264 \
-        --enable-nonfree \
-        --enable-openssl \
-        --enable-libfdk_aac \
-        --enable-postproc \
-        --enable-small \
-        --enable-version3 \
-        --enable-libzmq \
-        --extra-libs=-ldl \
-        --prefix="${PREFIX}" \
-        --enable-libopenjpeg \
-        --enable-libkvazaar \
-        --enable-libaom \
-        --extra-libs=-lpthread \
-        --enable-vaapi \
-        --extra-cflags="-I${PREFIX}/include" \
-        --extra-ldflags="-L${PREFIX}/lib" && \
-        make && \
-        make install && \
-        make tools/zmqsend && cp tools/zmqsend ${PREFIX}/bin/ && \
-        make distclean && \
-        hash -r && \
-        cd tools && \
-        make qt-faststart && cp qt-faststart ${PREFIX}/bin/
-
-## cleanup
-RUN \
-        ldd ${PREFIX}/bin/ffmpeg | grep opt/ffmpeg | cut -d ' ' -f 3 | xargs -i cp {} /usr/local/lib/ && \
-        for lib in /usr/local/lib/*.so.*; do ln -s "${lib##*/}" "${lib%%.so.*}".so; done && \
-        cp ${PREFIX}/bin/* /usr/local/bin/ && \
-        cp -r ${PREFIX}/share/ffmpeg /usr/local/share/ && \
-        LD_LIBRARY_PATH=/usr/local/lib ffmpeg -buildconf && \
-        cp -r ${PREFIX}/include/libav* ${PREFIX}/include/libpostproc ${PREFIX}/include/libsw* /usr/local/include && \
-        mkdir -p /usr/local/lib/pkgconfig && \
-        for pc in ${PREFIX}/lib/pkgconfig/libav*.pc ${PREFIX}/lib/pkgconfig/libpostproc.pc ${PREFIX}/lib/pkgconfig/libsw*.pc; do \
-          sed "s:${PREFIX}:/usr/local:g" <"$pc" >/usr/local/lib/pkgconfig/"${pc##*/}"; \
-        done
-
-FROM        base AS release
-
-ENV         LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib64:/usr/lib:/usr/lib64:/lib:/lib64
-
-CMD         ["--help"]
-ENTRYPOINT  ["ffmpeg"]
-
-COPY --from=build /usr/local /usr/local/
-
-RUN \
-	apt-get update -y && \
-	apt-get install -y --no-install-recommends libva-drm2 libva2 i965-va-driver mesa-va-drivers && \
-	rm -rf /var/lib/apt/lists/*

docker/Dockerfile.ffmpeg.amd64nvidia

@@ -1,549 +0,0 @@
-# inspired by https://github.com/jrottenberg/ffmpeg/blob/master/docker-images/4.3/ubuntu1804/Dockerfile
-
-# ffmpeg - http://ffmpeg.org/download.html
-#
-# From https://trac.ffmpeg.org/wiki/CompilationGuide/Ubuntu
-#
-# https://hub.docker.com/r/jrottenberg/ffmpeg/
-#
-#
-
-FROM    nvidia/cuda:11.1-devel-ubuntu20.04 AS devel-base
-
-ENV	    NVIDIA_DRIVER_CAPABILITIES compute,utility,video
-ENV         DEBIAN_FRONTEND=noninteractive
-
-WORKDIR     /tmp/workdir
-
-RUN     apt-get -yqq update && \
-        apt-get install -yq --no-install-recommends ca-certificates expat libgomp1 && \
-        apt-get autoremove -y && \
-        apt-get clean -y
-
-FROM       nvidia/cuda:11.1-runtime-ubuntu20.04 AS runtime-base
-
-ENV	    NVIDIA_DRIVER_CAPABILITIES compute,utility,video
-ENV         DEBIAN_FRONTEND=noninteractive
-
-WORKDIR     /tmp/workdir
-
-RUN     apt-get -yqq update && \
-        apt-get install -yq --no-install-recommends ca-certificates expat libgomp1 libxcb-shape0-dev && \
-        apt-get autoremove -y && \
-        apt-get clean -y
-
-
-FROM  devel-base as build
-
-ENV        NVIDIA_HEADERS_VERSION=9.1.23.1
-
-ENV         FFMPEG_VERSION=4.3.1 \
-            AOM_VERSION=v1.0.0 \
-            FDKAAC_VERSION=0.1.5 \
-            FREETYPE_VERSION=2.5.5 \
-            FRIBIDI_VERSION=0.19.7 \
-            KVAZAAR_VERSION=1.2.0 \
-            LAME_VERSION=3.100 \
-            LIBPTHREAD_STUBS_VERSION=0.4 \
-            LIBVIDSTAB_VERSION=1.1.0 \
-            LIBXCB_VERSION=1.13.1 \
-            XCBPROTO_VERSION=1.13 \
-            OGG_VERSION=1.3.2 \
-            OPENCOREAMR_VERSION=0.1.5 \
-            OPUS_VERSION=1.2 \
-            OPENJPEG_VERSION=2.1.2 \
-            THEORA_VERSION=1.1.1 \
-            VORBIS_VERSION=1.3.5 \
-            VPX_VERSION=1.8.0 \
-            WEBP_VERSION=1.0.2 \
-            X264_VERSION=20170226-2245-stable \
-            X265_VERSION=3.1.1 \
-            XAU_VERSION=1.0.9 \
-            XORG_MACROS_VERSION=1.19.2 \
-            XPROTO_VERSION=7.0.31 \
-            XVID_VERSION=1.3.4 \
-            LIBZMQ_VERSION=4.3.2 \
-            LIBSRT_VERSION=1.4.1 \
-            LIBARIBB24_VERSION=1.0.3 \
-            LIBPNG_VERSION=1.6.9 \
-            SRC=/usr/local
-
-ARG         FREETYPE_SHA256SUM="5d03dd76c2171a7601e9ce10551d52d4471cf92cd205948e60289251daddffa8 freetype-2.5.5.tar.gz"
-ARG         FRIBIDI_SHA256SUM="3fc96fa9473bd31dcb5500bdf1aa78b337ba13eb8c301e7c28923fea982453a8 0.19.7.tar.gz"
-ARG         LIBVIDSTAB_SHA256SUM="14d2a053e56edad4f397be0cb3ef8eb1ec3150404ce99a426c4eb641861dc0bb v1.1.0.tar.gz"
-ARG         OGG_SHA256SUM="e19ee34711d7af328cb26287f4137e70630e7261b17cbe3cd41011d73a654692 libogg-1.3.2.tar.gz"
-ARG         OPUS_SHA256SUM="77db45a87b51578fbc49555ef1b10926179861d854eb2613207dc79d9ec0a9a9 opus-1.2.tar.gz"
-ARG         THEORA_SHA256SUM="40952956c47811928d1e7922cda3bc1f427eb75680c3c37249c91e949054916b libtheora-1.1.1.tar.gz"
-ARG         VORBIS_SHA256SUM="6efbcecdd3e5dfbf090341b485da9d176eb250d893e3eb378c428a2db38301ce libvorbis-1.3.5.tar.gz"
-ARG         XVID_SHA256SUM="4e9fd62728885855bc5007fe1be58df42e5e274497591fec37249e1052ae316f xvidcore-1.3.4.tar.gz"
-ARG         LIBZMQ_SHA256SUM="02ecc88466ae38cf2c8d79f09cfd2675ba299a439680b64ade733e26a349edeb v4.3.2.tar.gz"
-ARG         LIBARIBB24_SHA256SUM="f61560738926e57f9173510389634d8c06cabedfa857db4b28fb7704707ff128 v1.0.3.tar.gz"
-
-
-ARG         LD_LIBRARY_PATH=/opt/ffmpeg/lib
-ARG         MAKEFLAGS="-j2"
-ARG         PKG_CONFIG_PATH="/opt/ffmpeg/share/pkgconfig:/opt/ffmpeg/lib/pkgconfig:/opt/ffmpeg/lib64/pkgconfig"
-ARG         PREFIX=/opt/ffmpeg
-ARG         LD_LIBRARY_PATH="/opt/ffmpeg/lib:/opt/ffmpeg/lib64"
-
-
-RUN      buildDeps="autoconf \
-                    automake \
-                    cmake \
-                    curl \
-                    bzip2 \
-                    libexpat1-dev \
-                    g++ \
-                    gcc \
-                    git \
-                    gperf \
-                    libtool \
-                    make \
-                    nasm \
-                    perl \
-                    pkg-config \
-                    python \
-                    libssl-dev \
-                    yasm \
-                    zlib1g-dev" && \
-        apt-get -yqq update && \
-        apt-get install -yq --no-install-recommends ${buildDeps}
-
-RUN \
-	DIR=/tmp/nv-codec-headers && \
-	git clone https://github.com/FFmpeg/nv-codec-headers ${DIR} && \
-	cd ${DIR} && \
-	git checkout n${NVIDIA_HEADERS_VERSION} && \
-	make PREFIX="${PREFIX}" && \
-	make install PREFIX="${PREFIX}" && \
-        rm -rf ${DIR}
-
-## opencore-amr https://sourceforge.net/projects/opencore-amr/
-RUN \
-        DIR=/tmp/opencore-amr && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://versaweb.dl.sourceforge.net/project/opencore-amr/opencore-amr/opencore-amr-${OPENCOREAMR_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-shared  && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-## x264 http://www.videolan.org/developers/x264.html
-RUN \
-        DIR=/tmp/x264 && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://download.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-${X264_VERSION}.tar.bz2 | \
-        tar -jx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-shared --enable-pic --disable-cli && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### x265 http://x265.org/
-RUN \
-        DIR=/tmp/x265 && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://download.videolan.org/pub/videolan/x265/x265_${X265_VERSION}.tar.gz  | \
-        tar -zx && \
-        cd x265_${X265_VERSION}/build/linux && \
-        sed -i "/-DEXTRA_LIB/ s/$/ -DCMAKE_INSTALL_PREFIX=\${PREFIX}/" multilib.sh && \
-        sed -i "/^cmake/ s/$/ -DENABLE_CLI=OFF/" multilib.sh && \
-        ./multilib.sh && \
-        make -C 8bit install && \
-        rm -rf ${DIR}
-### libogg https://www.xiph.org/ogg/
-RUN \
-        DIR=/tmp/ogg && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xiph.org/releases/ogg/libogg-${OGG_VERSION}.tar.gz && \
-        echo ${OGG_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f libogg-${OGG_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --enable-shared  && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### libopus https://www.opus-codec.org/
-RUN \
-        DIR=/tmp/opus && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://archive.mozilla.org/pub/opus/opus-${OPUS_VERSION}.tar.gz && \
-        echo ${OPUS_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f opus-${OPUS_VERSION}.tar.gz && \
-        autoreconf -fiv && \
-        ./configure --prefix="${PREFIX}" --enable-shared && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### libvorbis https://xiph.org/vorbis/
-RUN \
-        DIR=/tmp/vorbis && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xiph.org/releases/vorbis/libvorbis-${VORBIS_VERSION}.tar.gz && \
-        echo ${VORBIS_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f libvorbis-${VORBIS_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### libtheora http://www.theora.org/
-RUN \
-        DIR=/tmp/theora && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xiph.org/releases/theora/libtheora-${THEORA_VERSION}.tar.gz && \
-        echo ${THEORA_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f libtheora-${THEORA_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### libvpx https://www.webmproject.org/code/
-RUN \
-        DIR=/tmp/vpx && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://codeload.github.com/webmproject/libvpx/tar.gz/v${VPX_VERSION} | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-vp8 --enable-vp9 --enable-vp9-highbitdepth --enable-pic --enable-shared \
-        --disable-debug --disable-examples --disable-docs --disable-install-bins  && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### libwebp https://developers.google.com/speed/webp/
-RUN \
-        DIR=/tmp/vebp && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://storage.googleapis.com/downloads.webmproject.org/releases/webp/libwebp-${WEBP_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-shared  && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### libmp3lame http://lame.sourceforge.net/
-RUN \
-        DIR=/tmp/lame && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://versaweb.dl.sourceforge.net/project/lame/lame/$(echo ${LAME_VERSION} | sed -e 's/[^0-9]*\([0-9]*\)[.]\([0-9]*\)[.]\([0-9]*\)\([0-9A-Za-z-]*\)/\1.\2/')/lame-${LAME_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" --enable-shared --enable-nasm --disable-frontend && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### xvid https://www.xvid.com/
-RUN \
-        DIR=/tmp/xvid && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xvid.org/downloads/xvidcore-${XVID_VERSION}.tar.gz && \
-        echo ${XVID_SHA256SUM} | sha256sum --check && \
-        tar -zx -f xvidcore-${XVID_VERSION}.tar.gz && \
-        cd xvidcore/build/generic && \
-        ./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-### fdk-aac https://github.com/mstorsjo/fdk-aac
-RUN \
-        DIR=/tmp/fdk-aac && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://github.com/mstorsjo/fdk-aac/archive/v${FDKAAC_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        autoreconf -fiv && \
-        ./configure --prefix="${PREFIX}" --enable-shared --datadir="${DIR}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-## openjpeg https://github.com/uclouvain/openjpeg
-RUN \
-        DIR=/tmp/openjpeg && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://github.com/uclouvain/openjpeg/archive/v${OPENJPEG_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        cmake -DBUILD_THIRDPARTY:BOOL=ON -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-## freetype https://www.freetype.org/
-RUN  \
-        DIR=/tmp/freetype && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://download.savannah.gnu.org/releases/freetype/freetype-${FREETYPE_VERSION}.tar.gz && \
-        echo ${FREETYPE_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f freetype-${FREETYPE_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-## libvstab https://github.com/georgmartius/vid.stab
-RUN  \
-        DIR=/tmp/vid.stab && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/georgmartius/vid.stab/archive/v${LIBVIDSTAB_VERSION}.tar.gz && \
-        echo ${LIBVIDSTAB_SHA256SUM} | sha256sum --check &&  \
-        tar -zx --strip-components=1 -f v${LIBVIDSTAB_VERSION}.tar.gz && \
-        cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-## fridibi https://www.fribidi.org/
-RUN  \
-        DIR=/tmp/fribidi && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/fribidi/fribidi/archive/${FRIBIDI_VERSION}.tar.gz && \
-        echo ${FRIBIDI_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f ${FRIBIDI_VERSION}.tar.gz && \
-        sed -i 's/^SUBDIRS =.*/SUBDIRS=gen.tab charset lib bin/' Makefile.am && \
-        ./bootstrap --no-config --auto && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make -j1 && \
-        make install && \
-        rm -rf ${DIR}
-## kvazaar https://github.com/ultravideo/kvazaar
-RUN \
-        DIR=/tmp/kvazaar && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/ultravideo/kvazaar/archive/v${KVAZAAR_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f v${KVAZAAR_VERSION}.tar.gz && \
-        ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/aom && \
-        git clone --branch ${AOM_VERSION} --depth 1 https://aomedia.googlesource.com/aom ${DIR} ; \
-        cd ${DIR} ; \
-        rm -rf CMakeCache.txt CMakeFiles ; \
-        mkdir -p ./aom_build ; \
-        cd ./aom_build ; \
-        cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" -DBUILD_SHARED_LIBS=1 ..; \
-        make ; \
-        make install ; \
-        rm -rf ${DIR}
-
-## libxcb (and supporting libraries) for screen capture https://xcb.freedesktop.org/
-RUN \
-        DIR=/tmp/xorg-macros && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://www.x.org/archive//individual/util/util-macros-${XORG_MACROS_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f util-macros-${XORG_MACROS_VERSION}.tar.gz && \
-        ./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/xproto && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://www.x.org/archive/individual/proto/xproto-${XPROTO_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f xproto-${XPROTO_VERSION}.tar.gz && \
-        ./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libXau && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://www.x.org/archive/individual/lib/libXau-${XAU_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f libXau-${XAU_VERSION}.tar.gz && \
-        ./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libpthread-stubs && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://xcb.freedesktop.org/dist/libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libxcb-proto && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://xcb.freedesktop.org/dist/xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
-        ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libxcb && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://xcb.freedesktop.org/dist/libxcb-${LIBXCB_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f libxcb-${LIBXCB_VERSION}.tar.gz && \
-        ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-## libzmq https://github.com/zeromq/libzmq/
-RUN \
-        DIR=/tmp/libzmq && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/zeromq/libzmq/archive/v${LIBZMQ_VERSION}.tar.gz && \
-        echo ${LIBZMQ_SHA256SUM} | sha256sum --check && \
-        tar -xz --strip-components=1 -f v${LIBZMQ_VERSION}.tar.gz && \
-        ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" && \
-        make && \
-        make check && \
-        make install && \
-        rm -rf ${DIR}
-
-## libsrt https://github.com/Haivision/srt
-RUN \
-        DIR=/tmp/srt && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/Haivision/srt/archive/v${LIBSRT_VERSION}.tar.gz && \
-        tar -xz --strip-components=1 -f v${LIBSRT_VERSION}.tar.gz && \
-        cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-## libpng
-RUN \
-        DIR=/tmp/png && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        git clone https://git.code.sf.net/p/libpng/code ${DIR} -b v${LIBPNG_VERSION} --depth 1 && \
-        ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" && \
-        make check && \
-        make install && \
-        rm -rf ${DIR}
-
-## libaribb24
-RUN \
-        DIR=/tmp/b24 && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/nkoriyama/aribb24/archive/v${LIBARIBB24_VERSION}.tar.gz && \
-        echo ${LIBARIBB24_SHA256SUM} | sha256sum --check && \
-        tar -xz --strip-components=1 -f v${LIBARIBB24_VERSION}.tar.gz && \
-        autoreconf -fiv && \
-        ./configure CFLAGS="-I${PREFIX}/include -fPIC" --prefix="${PREFIX}" && \
-        make && \
-        make install && \
-        rm -rf ${DIR}
-
-## ffmpeg https://ffmpeg.org/
-RUN  \
-        DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
-        curl -sLO https://ffmpeg.org/releases/ffmpeg-${FFMPEG_VERSION}.tar.bz2 && \
-        tar -jx --strip-components=1 -f ffmpeg-${FFMPEG_VERSION}.tar.bz2
-
-
-
-RUN \
-        DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
-        ./configure \
-        --disable-debug \
-        --disable-doc \
-        --disable-ffplay \
-        --enable-shared \
-        --enable-avresample \
-        --enable-libopencore-amrnb \
-        --enable-libopencore-amrwb \
-        --enable-gpl \
-        --enable-libfreetype \
-        --enable-libvidstab \
-        --enable-libmp3lame \
-        --enable-libopus \
-        --enable-libtheora \
-        --enable-libvorbis \
-        --enable-libvpx \
-        --enable-libwebp \
-        --enable-libxcb \
-        --enable-libx265 \
-        --enable-libxvid \
-        --enable-libx264 \
-        --enable-nonfree \
-        --enable-openssl \
-        --enable-libfdk_aac \
-        --enable-postproc \
-        --enable-small \
-        --enable-version3 \
-        --enable-libzmq \
-        --extra-libs=-ldl \
-        --prefix="${PREFIX}" \
-        --enable-libopenjpeg \
-        --enable-libkvazaar \
-        --enable-libaom \
-        --extra-libs=-lpthread \
-        --enable-libsrt \
-        --enable-libaribb24 \
-        --enable-nvenc \
-        --enable-cuda \
-        --enable-cuvid \
-        --enable-libnpp \
-        --extra-cflags="-I${PREFIX}/include -I${PREFIX}/include/ffnvcodec -I/usr/local/cuda/include/" \
-        --extra-ldflags="-L${PREFIX}/lib -L/usr/local/cuda/lib64 -L/usr/local/cuda/lib32/" && \
-        make && \
-        make install && \
-        make tools/zmqsend && cp tools/zmqsend ${PREFIX}/bin/ && \
-        make distclean && \
-        hash -r && \
-        cd tools && \
-        make qt-faststart && cp qt-faststart ${PREFIX}/bin/
-
-## cleanup
-RUN \
-        LD_LIBRARY_PATH="${PREFIX}/lib:${PREFIX}/lib64:${LD_LIBRARY_PATH}" ldd ${PREFIX}/bin/ffmpeg | grep opt/ffmpeg | cut -d ' ' -f 3 | xargs -i cp {} /usr/local/lib/ && \
-        for lib in /usr/local/lib/*.so.*; do ln -s "${lib##*/}" "${lib%%.so.*}".so; done && \
-        cp ${PREFIX}/bin/* /usr/local/bin/ && \
-        cp -r ${PREFIX}/share/* /usr/local/share/ && \
-        LD_LIBRARY_PATH=/usr/local/lib ffmpeg -buildconf && \
-        cp -r ${PREFIX}/include/libav* ${PREFIX}/include/libpostproc ${PREFIX}/include/libsw* /usr/local/include && \
-        mkdir -p /usr/local/lib/pkgconfig && \
-        for pc in ${PREFIX}/lib/pkgconfig/libav*.pc ${PREFIX}/lib/pkgconfig/libpostproc.pc ${PREFIX}/lib/pkgconfig/libsw*.pc; do \
-          sed "s:${PREFIX}:/usr/local:g; s:/lib64:/lib:g" <"$pc" >/usr/local/lib/pkgconfig/"${pc##*/}"; \
-        done
-
-
-
-FROM        runtime-base AS release
-
-ENV         LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib64
-
-CMD         ["--help"]
-ENTRYPOINT  ["ffmpeg"]
-
-# copy only needed files, without copying nvidia dev files 
-COPY --from=build /usr/local/bin /usr/local/bin/
-COPY --from=build /usr/local/share /usr/local/share/
-COPY --from=build /usr/local/lib /usr/local/lib/
-COPY --from=build /usr/local/include /usr/local/include/
-
-# Let's make sure the app built correctly
-# Convenient to verify on https://hub.docker.com/r/jrottenberg/ffmpeg/builds/ console output

docker/Dockerfile.ffmpeg.armv7

@@ -1,490 +0,0 @@
-# inspired by:
-# https://github.com/collelog/ffmpeg/blob/master/4.3.1-alpine-rpi4-arm64v8.Dockerfile
-# https://github.com/mmastrac/ffmpeg-omx-rpi-docker/blob/master/Dockerfile
-# https://github.com/jrottenberg/ffmpeg/pull/158/files
-# https://github.com/jrottenberg/ffmpeg/pull/239
-FROM        ubuntu:20.04 AS base
-
-WORKDIR     /tmp/workdir
-
-ENV     DEBIAN_FRONTEND=noninteractive
-RUN     apt-get -yqq update && \
-        apt-get install -yq --no-install-recommends ca-certificates expat libgomp1 && \
-        apt-get autoremove -y && \
-        apt-get clean -y
-
-FROM base as build
-
-ENV         FFMPEG_VERSION=4.3.1 \
-            AOM_VERSION=v1.0.0 \
-            FDKAAC_VERSION=0.1.5 \
-            FREETYPE_VERSION=2.5.5 \
-            FRIBIDI_VERSION=0.19.7 \
-            KVAZAAR_VERSION=1.2.0 \
-            LAME_VERSION=3.100 \
-            LIBPTHREAD_STUBS_VERSION=0.4 \
-            LIBVIDSTAB_VERSION=1.1.0 \
-            LIBXCB_VERSION=1.13.1 \
-            XCBPROTO_VERSION=1.13 \
-            OGG_VERSION=1.3.2 \
-            OPENCOREAMR_VERSION=0.1.5 \
-            OPUS_VERSION=1.2 \
-            OPENJPEG_VERSION=2.1.2 \
-            THEORA_VERSION=1.1.1 \
-            VORBIS_VERSION=1.3.5 \
-            VPX_VERSION=1.8.0 \
-            WEBP_VERSION=1.0.2 \
-            X264_VERSION=20170226-2245-stable \
-            X265_VERSION=3.1.1 \
-            XAU_VERSION=1.0.9 \
-            XORG_MACROS_VERSION=1.19.2 \
-            XPROTO_VERSION=7.0.31 \
-            XVID_VERSION=1.3.4 \
-            LIBZMQ_VERSION=4.3.3 \
-            SRC=/usr/local
-
-ARG         FREETYPE_SHA256SUM="5d03dd76c2171a7601e9ce10551d52d4471cf92cd205948e60289251daddffa8 freetype-2.5.5.tar.gz"
-ARG         FRIBIDI_SHA256SUM="3fc96fa9473bd31dcb5500bdf1aa78b337ba13eb8c301e7c28923fea982453a8 0.19.7.tar.gz"
-ARG         LIBVIDSTAB_SHA256SUM="14d2a053e56edad4f397be0cb3ef8eb1ec3150404ce99a426c4eb641861dc0bb v1.1.0.tar.gz"
-ARG         OGG_SHA256SUM="e19ee34711d7af328cb26287f4137e70630e7261b17cbe3cd41011d73a654692 libogg-1.3.2.tar.gz"
-ARG         OPUS_SHA256SUM="77db45a87b51578fbc49555ef1b10926179861d854eb2613207dc79d9ec0a9a9 opus-1.2.tar.gz"
-ARG         THEORA_SHA256SUM="40952956c47811928d1e7922cda3bc1f427eb75680c3c37249c91e949054916b libtheora-1.1.1.tar.gz"
-ARG         VORBIS_SHA256SUM="6efbcecdd3e5dfbf090341b485da9d176eb250d893e3eb378c428a2db38301ce libvorbis-1.3.5.tar.gz"
-ARG         XVID_SHA256SUM="4e9fd62728885855bc5007fe1be58df42e5e274497591fec37249e1052ae316f xvidcore-1.3.4.tar.gz"
-
-
-ARG         LD_LIBRARY_PATH=/opt/ffmpeg/lib
-ARG         MAKEFLAGS="-j2"
-ARG         PKG_CONFIG_PATH="/opt/ffmpeg/share/pkgconfig:/opt/ffmpeg/lib/pkgconfig:/opt/ffmpeg/lib64/pkgconfig:/opt/vc/lib/pkgconfig"
-ARG         PREFIX=/opt/ffmpeg
-ARG         LD_LIBRARY_PATH="/opt/ffmpeg/lib:/opt/ffmpeg/lib64:/usr/lib64:/usr/lib:/lib64:/lib:/opt/vc/lib"
-
-
-RUN      buildDeps="autoconf \
-                    automake \
-                    cmake \
-                    curl \
-                    bzip2 \
-                    libexpat1-dev \
-                    g++ \
-                    gcc \
-                    git \
-                    gperf \
-                    libtool \
-                    make \
-                    nasm \
-                    perl \
-                    pkg-config \
-                    python \
-                    sudo \
-                    libssl-dev \
-                    yasm \
-                    linux-headers-raspi2 \
-                    libomxil-bellagio-dev \
-                    libx265-dev \
-                    libaom-dev \
-                    zlib1g-dev" && \
-        apt-get -yqq update && \
-        apt-get install -yq --no-install-recommends ${buildDeps}
-## opencore-amr https://sourceforge.net/projects/opencore-amr/
-RUN \
-        DIR=/tmp/opencore-amr && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://versaweb.dl.sourceforge.net/project/opencore-amr/opencore-amr/opencore-amr-${OPENCOREAMR_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-shared  && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-## x264 http://www.videolan.org/developers/x264.html
-RUN \
-        DIR=/tmp/x264 && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://download.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-${X264_VERSION}.tar.bz2 | \
-        tar -jx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-shared --enable-pic --disable-cli && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-# ### x265 http://x265.org/
-# RUN \
-#         DIR=/tmp/x265 && \
-#         mkdir -p ${DIR} && \
-#         cd ${DIR} && \
-#         curl -sL https://download.videolan.org/pub/videolan/x265/x265_${X265_VERSION}.tar.gz  | \
-#         tar -zx && \
-#         cd x265_${X265_VERSION}/build/linux && \
-#         sed -i "/-DEXTRA_LIB/ s/$/ -DCMAKE_INSTALL_PREFIX=\${PREFIX}/" multilib.sh && \
-#         sed -i "/^cmake/ s/$/ -DENABLE_CLI=OFF/" multilib.sh && \
-#         # export CXXFLAGS="${CXXFLAGS} -fPIC" && \
-#         ./multilib.sh && \
-#         make -C 8bit install && \
-#         rm -rf ${DIR}
-### libogg https://www.xiph.org/ogg/
-RUN \
-        DIR=/tmp/ogg && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xiph.org/releases/ogg/libogg-${OGG_VERSION}.tar.gz && \
-        echo ${OGG_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f libogg-${OGG_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --enable-shared  && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### libopus https://www.opus-codec.org/
-RUN \
-        DIR=/tmp/opus && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://archive.mozilla.org/pub/opus/opus-${OPUS_VERSION}.tar.gz && \
-        echo ${OPUS_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f opus-${OPUS_VERSION}.tar.gz && \
-        autoreconf -fiv && \
-        ./configure --prefix="${PREFIX}" --enable-shared && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### libvorbis https://xiph.org/vorbis/
-RUN \
-        DIR=/tmp/vorbis && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xiph.org/releases/vorbis/libvorbis-${VORBIS_VERSION}.tar.gz && \
-        echo ${VORBIS_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f libvorbis-${VORBIS_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### libtheora http://www.theora.org/
-RUN \
-        DIR=/tmp/theora && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xiph.org/releases/theora/libtheora-${THEORA_VERSION}.tar.gz && \
-        echo ${THEORA_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f libtheora-${THEORA_VERSION}.tar.gz && \
-        curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.guess;hb=HEAD' -o config.guess && \
-        curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.sub;hb=HEAD' -o config.sub && \
-        ./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### libvpx https://www.webmproject.org/code/
-RUN \
-        DIR=/tmp/vpx && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://codeload.github.com/webmproject/libvpx/tar.gz/v${VPX_VERSION} | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-vp8 --enable-vp9 --enable-vp9-highbitdepth --enable-pic --enable-shared \
-        --disable-debug --disable-examples --disable-docs --disable-install-bins  && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### libwebp https://developers.google.com/speed/webp/
-RUN \
-        DIR=/tmp/vebp && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://storage.googleapis.com/downloads.webmproject.org/releases/webp/libwebp-${WEBP_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --enable-shared  && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### libmp3lame http://lame.sourceforge.net/
-RUN \
-        DIR=/tmp/lame && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://versaweb.dl.sourceforge.net/project/lame/lame/$(echo ${LAME_VERSION} | sed -e 's/[^0-9]*\([0-9]*\)[.]\([0-9]*\)[.]\([0-9]*\)\([0-9A-Za-z-]*\)/\1.\2/')/lame-${LAME_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        ./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" --enable-shared --enable-nasm --disable-frontend && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### xvid https://www.xvid.com/
-RUN \
-        DIR=/tmp/xvid && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO http://downloads.xvid.org/downloads/xvidcore-${XVID_VERSION}.tar.gz && \
-        echo ${XVID_SHA256SUM} | sha256sum --check && \
-        tar -zx -f xvidcore-${XVID_VERSION}.tar.gz && \
-        cd xvidcore/build/generic && \
-        ./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-### fdk-aac https://github.com/mstorsjo/fdk-aac
-RUN \
-        DIR=/tmp/fdk-aac && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://github.com/mstorsjo/fdk-aac/archive/v${FDKAAC_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        autoreconf -fiv && \
-        ./configure --prefix="${PREFIX}" --enable-shared --datadir="${DIR}" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-## openjpeg https://github.com/uclouvain/openjpeg
-RUN \
-        DIR=/tmp/openjpeg && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sL https://github.com/uclouvain/openjpeg/archive/v${OPENJPEG_VERSION}.tar.gz | \
-        tar -zx --strip-components=1 && \
-        export CFLAGS="${CFLAGS} -DPNG_ARM_NEON_OPT=0" && \
-        cmake -DBUILD_THIRDPARTY:BOOL=ON -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-## freetype https://www.freetype.org/
-RUN  \
-        DIR=/tmp/freetype && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://download.savannah.gnu.org/releases/freetype/freetype-${FREETYPE_VERSION}.tar.gz && \
-        echo ${FREETYPE_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f freetype-${FREETYPE_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-## libvstab https://github.com/georgmartius/vid.stab
-RUN  \
-        DIR=/tmp/vid.stab && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/georgmartius/vid.stab/archive/v${LIBVIDSTAB_VERSION}.tar.gz && \
-        echo ${LIBVIDSTAB_SHA256SUM} | sha256sum --check &&  \
-        tar -zx --strip-components=1 -f v${LIBVIDSTAB_VERSION}.tar.gz && \
-        cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-## fridibi https://www.fribidi.org/
-RUN  \
-        DIR=/tmp/fribidi && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/fribidi/fribidi/archive/${FRIBIDI_VERSION}.tar.gz && \
-        echo ${FRIBIDI_SHA256SUM} | sha256sum --check && \
-        tar -zx --strip-components=1 -f ${FRIBIDI_VERSION}.tar.gz && \
-        sed -i 's/^SUBDIRS =.*/SUBDIRS=gen.tab charset lib bin/' Makefile.am && \
-        ./bootstrap --no-config --auto && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make -j1 && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-## kvazaar https://github.com/ultravideo/kvazaar
-RUN \
-        DIR=/tmp/kvazaar && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/ultravideo/kvazaar/archive/v${KVAZAAR_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f v${KVAZAAR_VERSION}.tar.gz && \
-        ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-# RUN \
-#         DIR=/tmp/aom && \
-#         git clone --branch ${AOM_VERSION} --depth 1 https://aomedia.googlesource.com/aom ${DIR} ; \
-#         cd ${DIR} ; \
-#         rm -rf CMakeCache.txt CMakeFiles ; \
-#         mkdir -p ./aom_build ; \
-#         cd ./aom_build ; \
-#         cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" -DBUILD_SHARED_LIBS=1 ..; \
-#         make ; \
-#         make install ; \
-#         rm -rf ${DIR}
-
-## libxcb (and supporting libraries) for screen capture https://xcb.freedesktop.org/
-RUN \
-        DIR=/tmp/xorg-macros && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://www.x.org/archive//individual/util/util-macros-${XORG_MACROS_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f util-macros-${XORG_MACROS_VERSION}.tar.gz && \
-        ./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/xproto && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://www.x.org/archive/individual/proto/xproto-${XPROTO_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f xproto-${XPROTO_VERSION}.tar.gz && \
-        curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.guess;hb=HEAD' -o config.guess && \
-        curl -sL 'http://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.sub;hb=HEAD' -o config.sub && \
-        ./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libXau && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://www.x.org/archive/individual/lib/libXau-${XAU_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f libXau-${XAU_VERSION}.tar.gz && \
-        ./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libpthread-stubs && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://xcb.freedesktop.org/dist/libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
-        ./configure --prefix="${PREFIX}" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libxcb-proto && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://xcb.freedesktop.org/dist/xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
-        ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-RUN \
-        DIR=/tmp/libxcb && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://xcb.freedesktop.org/dist/libxcb-${LIBXCB_VERSION}.tar.gz && \
-        tar -zx --strip-components=1 -f libxcb-${LIBXCB_VERSION}.tar.gz && \
-        ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-## libzmq https://github.com/zeromq/libzmq/
-RUN \
-        DIR=/tmp/libzmq && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        curl -sLO https://github.com/zeromq/libzmq/archive/v${LIBZMQ_VERSION}.tar.gz && \
-        tar -xz --strip-components=1 -f v${LIBZMQ_VERSION}.tar.gz && \
-        ./autogen.sh && \
-        ./configure --prefix="${PREFIX}" && \
-        make -j $(nproc) && \
-        # make check && \
-        make -j $(nproc) install && \
-        rm -rf ${DIR}
-
-## userland https://github.com/raspberrypi/userland
-RUN \
-        DIR=/tmp/userland && \
-        mkdir -p ${DIR} && \
-        cd ${DIR} && \
-        git clone --depth 1 https://github.com/raspberrypi/userland.git . && \
-        ./buildme && \
-        rm -rf ${DIR}
-
-## ffmpeg https://ffmpeg.org/
-RUN  \
-        DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
-        curl -sLO https://ffmpeg.org/releases/ffmpeg-${FFMPEG_VERSION}.tar.bz2 && \
-        tar -jx --strip-components=1 -f ffmpeg-${FFMPEG_VERSION}.tar.bz2
-
-RUN \
-        DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
-        ./configure \
-        --disable-debug \
-        --disable-doc \
-        --disable-ffplay \
-        --enable-shared \
-        --enable-avresample \
-        --enable-libopencore-amrnb \
-        --enable-libopencore-amrwb \
-        --enable-gpl \
-        --enable-libfreetype \
-        --enable-libvidstab \
-        --enable-libmp3lame \
-        --enable-libopus \
-        --enable-libtheora \
-        --enable-libvorbis \
-        --enable-libvpx \
-        --enable-libwebp \
-        --enable-libxcb \
-        --enable-libx265 \
-        --enable-libxvid \
-        --enable-libx264 \
-        --enable-nonfree \
-        --enable-openssl \
-        --enable-libfdk_aac \
-        --enable-postproc \
-        --enable-small \
-        --enable-version3 \
-        --enable-libzmq \
-        --extra-libs=-ldl \
-        --prefix="${PREFIX}" \
-        --enable-libopenjpeg \
-        --enable-libkvazaar \
-        --enable-libaom \
-        --extra-libs=-lpthread \
-        --enable-omx \
-        --enable-omx-rpi \
-        --enable-mmal \
-        --enable-v4l2_m2m \
-        --enable-neon \
-        --extra-cflags="-I${PREFIX}/include" \
-        --extra-ldflags="-L${PREFIX}/lib" && \
-        make -j $(nproc) && \
-        make -j $(nproc) install && \
-        make tools/zmqsend && cp tools/zmqsend ${PREFIX}/bin/ && \
-        make distclean && \
-        hash -r && \
-        cd tools && \
-        make qt-faststart && cp qt-faststart ${PREFIX}/bin/
-
-## cleanup
-RUN \
-        ldd ${PREFIX}/bin/ffmpeg | grep opt/ffmpeg | cut -d ' ' -f 3 | xargs -i cp {} /usr/local/lib/ && \
-        # copy userland lib too
-        ldd ${PREFIX}/bin/ffmpeg | grep opt/vc | cut -d ' ' -f 3 | xargs -i cp {} /usr/local/lib/ && \
-        for lib in /usr/local/lib/*.so.*; do ln -s "${lib##*/}" "${lib%%.so.*}".so; done && \
-        cp ${PREFIX}/bin/* /usr/local/bin/ && \
-        cp -r ${PREFIX}/share/ffmpeg /usr/local/share/ && \
-        LD_LIBRARY_PATH=/usr/local/lib ffmpeg -buildconf && \
-        cp -r ${PREFIX}/include/libav* ${PREFIX}/include/libpostproc ${PREFIX}/include/libsw* /usr/local/include && \
-        mkdir -p /usr/local/lib/pkgconfig && \
-        for pc in ${PREFIX}/lib/pkgconfig/libav*.pc ${PREFIX}/lib/pkgconfig/libpostproc.pc ${PREFIX}/lib/pkgconfig/libsw*.pc; do \
-          sed "s:${PREFIX}:/usr/local:g" <"$pc" >/usr/local/lib/pkgconfig/"${pc##*/}"; \
-        done
-
-FROM        base AS release
-
-ENV         LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib64:/usr/lib:/usr/lib64:/lib:/lib64
-
-RUN \
-        apt-get -yqq update && \
-        apt-get install -yq --no-install-recommends libx265-dev libaom-dev && \
-        apt-get autoremove -y && \
-        apt-get clean -y
-
-CMD         ["--help"]
-ENTRYPOINT  ["ffmpeg"]
-
-COPY --from=build /usr/local /usr/local/

docker/Dockerfile.wheels

@@ -1,39 +0,0 @@
-FROM ubuntu:20.04 as build
-
-ENV DEBIAN_FRONTEND=noninteractive
-
-RUN apt-get -qq update \
-    && apt-get -qq install -y \
-    python3 \
-    python3-dev \
-    wget \
-    # opencv dependencies
-    build-essential cmake git pkg-config libgtk-3-dev \
-    libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
-    libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
-    gfortran openexr libatlas-base-dev libssl-dev\
-    libtbb2 libtbb-dev libdc1394-22-dev libopenexr-dev \
-    libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
-    # scipy dependencies
-    gcc gfortran libopenblas-dev liblapack-dev cython
-
-RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
-    && python3 get-pip.py
-
-RUN pip3 install scikit-build
-
-RUN pip3 wheel --wheel-dir=/wheels \
-    opencv-python-headless \
-    numpy \
-    imutils \
-    scipy \
-    psutil \
-    Flask \
-    paho-mqtt \
-    PyYAML \
-    matplotlib \
-    click
-
-FROM scratch
-
-COPY --from=build /wheels /wheels

docker/Dockerfile.wheels.aarch64

@@ -1,49 +0,0 @@
-FROM ubuntu:20.04 as build
-
-ENV DEBIAN_FRONTEND=noninteractive
-
-RUN apt-get -qq update \
-    && apt-get -qq install -y \
-    python3 \
-    python3-dev \
-    wget \
-    # opencv dependencies
-    build-essential cmake git pkg-config libgtk-3-dev \
-    libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
-    libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
-    gfortran openexr libatlas-base-dev libssl-dev\
-    libtbb2 libtbb-dev libdc1394-22-dev libopenexr-dev \
-    libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
-    # scipy dependencies
-    gcc gfortran libopenblas-dev liblapack-dev cython
-
-RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
-    && python3 get-pip.py
-
-# need to build cmake from source because binary distribution is broken for arm64
-# https://github.com/scikit-build/cmake-python-distributions/issues/115
-# https://github.com/skvark/opencv-python/issues/366
-# https://github.com/scikit-build/cmake-python-distributions/issues/96#issuecomment-663062358
-RUN pip3 install scikit-build
-
-RUN git clone https://github.com/scikit-build/cmake-python-distributions.git \
-    && cd cmake-python-distributions/ \
-    && python3 setup.py bdist_wheel
-
-RUN pip3 install cmake-python-distributions/dist/*.whl
-
-RUN pip3 wheel --wheel-dir=/wheels \
-    opencv-python-headless \
-    numpy \
-    imutils \
-    scipy \
-    psutil \
-    Flask \
-    paho-mqtt \
-    PyYAML \
-    matplotlib \
-    click
-
-FROM scratch
-
-COPY --from=build /wheels /wheels

docs/DEVICES.md

@@ -0,0 +1,74 @@
+# Configuration Examples
+
+### Default (most RTSP cameras)
+This is the default ffmpeg command and should work with most RTSP cameras that send h264 video
+```yaml
+ffmpeg:
+  global_args:
+    - -hide_banner
+    - -loglevel
+    - panic
+  hwaccel_args: []
+  input_args:
+    - -avoid_negative_ts
+    - make_zero 
+    - -fflags
+    - nobuffer
+    - -flags
+    - low_delay
+    - -strict
+    - experimental
+    - -fflags
+    - +genpts+discardcorrupt
+    - -vsync
+    - drop
+    - -rtsp_transport
+    - tcp
+    - -stimeout
+    - '5000000' 
+    - -use_wallclock_as_timestamps
+    - '1'
+  output_args:
+    - -vf
+    - mpdecimate
+    - -f
+    - rawvideo
+    - -pix_fmt
+    - rgb24
+```
+
+### RTMP Cameras
+The input parameters need to be adjusted for RTMP cameras
+```yaml
+ffmpeg:
+input_args:
+    - -avoid_negative_ts
+    - make_zero
+    - -fflags
+    - nobuffer
+    - -flags
+    - low_delay
+    - -strict
+    - experimental
+    - -fflags
+    - +genpts+discardcorrupt
+    - -vsync
+    - drop
+    - -use_wallclock_as_timestamps
+    - '1'
+```
+
+
+### Hardware Acceleration
+
+Intel Quicksync
+```yaml
+ffmpeg:
+  hwaccel_args:
+    - -hwaccel
+    - vaapi
+    - -hwaccel_device
+    - /dev/dri/renderD128
+    - -hwaccel_output_format
+    - yuv420p
+```

docs/cameras.md

@@ -1,21 +0,0 @@
-# Camera Specific Configuration
-Frigate should work with most RTSP cameras and h264 feeds such as Dahua.
-
-## RTMP Cameras
-The input parameters need to be adjusted for RTMP cameras
-```yaml
-ffmpeg:
-input_args:
-    - -avoid_negative_ts
-    - make_zero
-    - -fflags
-    - nobuffer
-    - -flags
-    - low_delay
-    - -strict
-    - experimental
-    - -fflags
-    - +genpts+discardcorrupt
-    - -use_wallclock_as_timestamps
-    - '1'
-```

docs/how-frigate-works.md

@@ -1,10 +0,0 @@
-# How Frigate Works
-Frigate is designed to minimize resource and maximize performance by only looking for objects when and where it is necessary
-
-![Diagram](diagram.png)
-
-## 1. Look for Motion
-
-## 2. Calculate Detection Regions
-
-## 3. Run Object Detection

docs/notification-examples.md

@@ -1,52 +0,0 @@
-# Notification examples
-
-```yaml
-automation:
-
-  - alias: When a person enters a zone named yard
-    trigger:
-      platform: mqtt
-      topic: frigate/events
-    conditions: 
-      - "{{ trigger.payload_json["after"]["label"] == 'person' }}"
-      - "{{ 'yard' in trigger.payload_json["after"]["entered_zones"] }}"
-    action:
-      - service: notify.mobile_app_pixel_3
-        data_template:
-          message: 'A {{trigger.payload_json["after"]["label"]}} has entered the yard.'
-          data:
-            image: 'https://url.com/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}.jpg'
-            tag: '{{trigger.payload_json["after"]["id"]}}'
-
-  - alias: When a person leaves a zone named yard
-    trigger:
-      platform: mqtt
-      topic: frigate/events
-    conditions: 
-      - "{{ trigger.payload_json["after"]["label"] == 'person' }}"
-      - "{{ 'yard' in trigger.payload_json["before"]["current_zones"] }}"
-      - "{{ not 'yard' in trigger.payload_json["after"]["current_zones"] }}"
-    action:
-      - service: notify.mobile_app_pixel_3
-        data_template:
-          message: 'A {{trigger.payload_json["after"]["label"]}} has left the yard.'
-          data:
-            image: 'https://url.com/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}.jpg'
-            tag: '{{trigger.payload_json["after"]["id"]}}'
-
-  - alias: Notify for dogs in the front with a high top score
-    trigger:
-      platform: mqtt
-      topic: frigate/events
-    conditions: 
-      - "{{ trigger.payload_json["after"]["label"] == 'dog' }}"
-      - "{{ trigger.payload_json["after"]["camera"] == 'front' }}"
-      - "{{ trigger.payload_json["after"]["top_score"] > 0.98 }}"
-    action:
-      - service: notify.mobile_app_pixel_3
-        data_template:
-          message: 'High confidence dog detection.'
-          data:
-            image: 'https://url.com/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}.jpg'
-            tag: '{{trigger.payload_json["after"]["id"]}}'
-```

docs/nvdec.md

@@ -1,105 +0,0 @@
-# nVidia hardware decoder (NVDEC)
-
-Certain nvidia cards include a hardware decoder, which can greatly improve the
-performance of video decoding. In order to use NVDEC, a special build of 
-ffmpeg with NVDEC support is required. The special docker architecture 'amd64nvidia'
-includes this support for amd64 platforms. An aarch64 for the Jetson, which 
-also includes NVDEC may be added in the future.
-
-## Docker setup
-
-### Requirements
-[nVidia closed source driver](https://www.nvidia.com/en-us/drivers/unix/) required to access NVDEC.
-[nvidia-docker](https://github.com/NVIDIA/nvidia-docker) required to pass NVDEC to docker.
-
-### Setting up docker-compose
-
-In order to pass NVDEC, the docker engine must be set to `nvidia` and the environment variables
-`NVIDIA_VISIBLE_DEVICES=all` and `NVIDIA_DRIVER_CAPABILITIES=compute,utility,video` must be set.
-
-In a docker compose file, these lines need to be set:
-```
-services:
-  frigate:
-    ...
-    image: blakeblackshear/frigate:stable-amd64nvidia
-    runtime: nvidia
-    environment:
-      - NVIDIA_VISIBLE_DEVICES=all
-      - NVIDIA_DRIVER_CAPABILITIES=compute,utility,video 
-```
-
-### Setting up the configuration file
-
-In your frigate config.yml, you'll need to set ffmpeg to use the hardware decoder. 
-The decoder you choose will depend on the input video. 
-
-A list of supported codecs (you can use `ffmpeg -decoders | grep cuvid` in the container to get a list)
-```
- V..... h263_cuvid           Nvidia CUVID H263 decoder (codec h263)
- V..... h264_cuvid           Nvidia CUVID H264 decoder (codec h264)
- V..... hevc_cuvid           Nvidia CUVID HEVC decoder (codec hevc)
- V..... mjpeg_cuvid          Nvidia CUVID MJPEG decoder (codec mjpeg)
- V..... mpeg1_cuvid          Nvidia CUVID MPEG1VIDEO decoder (codec mpeg1video)
- V..... mpeg2_cuvid          Nvidia CUVID MPEG2VIDEO decoder (codec mpeg2video)
- V..... mpeg4_cuvid          Nvidia CUVID MPEG4 decoder (codec mpeg4)
- V..... vc1_cuvid            Nvidia CUVID VC1 decoder (codec vc1)
- V..... vp8_cuvid            Nvidia CUVID VP8 decoder (codec vp8)
- V..... vp9_cuvid            Nvidia CUVID VP9 decoder (codec vp9)
- ```
-
-For example, for H265 video (hevc), you'll select `hevc_cuvid`. Add
-`-c:v hevc_covid` to your ffmpeg input arguments:
-
-```
-ffmpeg:
-  input_args:
-    ...
-    - -c:v 
-    - hevc_cuvid
-```
-
-If everything is working correctly, you should see a significant improvement in performance.
-Verify that hardware decoding is working by running `nvidia-smi`, which should show the ffmpeg
-processes:
-
-```
-+-----------------------------------------------------------------------------+
-| NVIDIA-SMI 455.38       Driver Version: 455.38       CUDA Version: 11.1     |
-|-------------------------------+----------------------+----------------------+
-| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
-| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
-|                               |                      |               MIG M. |
-|===============================+======================+======================|
-|   0  GeForce GTX 166...  Off  | 00000000:03:00.0 Off |                  N/A |
-| 38%   41C    P2    36W / 125W |   2082MiB /  5942MiB |      5%      Default |
-|                               |                      |                  N/A |
-+-------------------------------+----------------------+----------------------+
-                                                                               
-+-----------------------------------------------------------------------------+
-| Processes:                                                                  |
-|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
-|        ID   ID                                                   Usage      |
-|=============================================================================|
-|    0   N/A  N/A     12737      C   ffmpeg                            249MiB |
-|    0   N/A  N/A     12751      C   ffmpeg                            249MiB |
-|    0   N/A  N/A     12772      C   ffmpeg                            249MiB |
-|    0   N/A  N/A     12775      C   ffmpeg                            249MiB |
-|    0   N/A  N/A     12800      C   ffmpeg                            249MiB |
-|    0   N/A  N/A     12811      C   ffmpeg                            417MiB |
-|    0   N/A  N/A     12827      C   ffmpeg                            417MiB |
-+-----------------------------------------------------------------------------+
-```
-
-To further improve performance, you can set ffmpeg to skip frames in the output,
-using the fps filter:
-
-```
-  output_args:
-    - -filter:v 
-    - fps=fps=5
-```
-
-This setting, for example, allows Frigate to consume my 10-15fps camera streams on
-my relatively low powered Haswell machine with relatively low cpu usage.
-

frigate/__main__.py

@@ -1,15 +0,0 @@
-import faulthandler; faulthandler.enable()
-import sys
-import threading
-
-threading.current_thread().name = "frigate"
-
-from frigate.app import FrigateApp
-
-cli = sys.modules['flask.cli']
-cli.show_server_banner = lambda *x: None
-
-if __name__ == '__main__':
-    frigate_app = FrigateApp()
-
-    frigate_app.start()

frigate/app.py

@@ -1,207 +0,0 @@
-import json
-import logging
-import multiprocessing as mp
-import os
-from logging.handlers import QueueHandler
-from typing import Dict, List
-import sys
-import signal
-
-import yaml
-from playhouse.sqlite_ext import SqliteExtDatabase
-
-from frigate.config import FrigateConfig
-from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
-from frigate.edgetpu import EdgeTPUProcess
-from frigate.events import EventProcessor, EventCleanup
-from frigate.http import create_app
-from frigate.log import log_process, root_configurer
-from frigate.models import Event
-from frigate.mqtt import create_mqtt_client
-from frigate.object_processing import TrackedObjectProcessor
-from frigate.record import RecordingMaintainer
-from frigate.video import capture_camera, track_camera
-from frigate.watchdog import FrigateWatchdog
-from frigate.zeroconf import broadcast_zeroconf
-
-logger = logging.getLogger(__name__)
-
-class FrigateApp():
-    def __init__(self):
-        self.stop_event = mp.Event()
-        self.config: FrigateConfig = None
-        self.detection_queue = mp.Queue()
-        self.detectors: Dict[str, EdgeTPUProcess] = {}
-        self.detection_out_events: Dict[str, mp.Event] = {}
-        self.detection_shms: List[mp.shared_memory.SharedMemory] = []
-        self.log_queue = mp.Queue()
-        self.camera_metrics = {}
-
-    def ensure_dirs(self):
-        for d in [RECORD_DIR, CLIPS_DIR, CACHE_DIR]:
-            if not os.path.exists(d) and not os.path.islink(d):
-                logger.info(f"Creating directory: {d}")
-                os.makedirs(d)
-            else:
-                logger.debug(f"Skipping directory: {d}")
-    
-    def init_logger(self):
-        self.log_process = mp.Process(target=log_process, args=(self.log_queue,), name='log_process')
-        self.log_process.daemon = True
-        self.log_process.start()
-        root_configurer(self.log_queue)
-    
-    def init_config(self):
-        config_file = os.environ.get('CONFIG_FILE', '/config/config.yml')
-        self.config = FrigateConfig(config_file=config_file)
-
-        for camera_name in self.config.cameras.keys():
-            # create camera_metrics
-            self.camera_metrics[camera_name] = {
-                'camera_fps': mp.Value('d', 0.0),
-                'skipped_fps': mp.Value('d', 0.0),
-                'process_fps': mp.Value('d', 0.0),
-                'detection_fps': mp.Value('d', 0.0),
-                'detection_frame': mp.Value('d', 0.0),
-                'read_start': mp.Value('d', 0.0),
-                'ffmpeg_pid': mp.Value('i', 0),
-                'frame_queue': mp.Queue(maxsize=2)
-            }
-    
-    def set_log_levels(self):
-        logging.getLogger().setLevel(self.config.logger.default)
-        for log, level in self.config.logger.logs.items():
-            logging.getLogger(log).setLevel(level)
-        
-        if not 'werkzeug' in self.config.logger.logs:
-            logging.getLogger('werkzeug').setLevel('ERROR')
-
-    def init_queues(self):
-        # Queues for clip processing
-        self.event_queue = mp.Queue()
-        self.event_processed_queue = mp.Queue()
-
-        # Queue for cameras to push tracked objects to
-        self.detected_frames_queue = mp.Queue(maxsize=len(self.config.cameras.keys())*2)
-
-    def init_database(self):
-        self.db = SqliteExtDatabase(f"/{os.path.join(CLIPS_DIR, 'frigate.db')}")
-        models = [Event]
-        self.db.bind(models)
-        self.db.create_tables(models, safe=True)
-
-    def init_web_server(self):
-        self.flask_app = create_app(self.config, self.db, self.camera_metrics, self.detectors, self.detected_frames_processor)
-
-    def init_mqtt(self):
-        self.mqtt_client = create_mqtt_client(self.config.mqtt)
-
-    def start_detectors(self):
-        for name in self.config.cameras.keys():
-            self.detection_out_events[name] = mp.Event()
-            shm_in = mp.shared_memory.SharedMemory(name=name, create=True, size=300*300*3)
-            shm_out = mp.shared_memory.SharedMemory(name=f"out-{name}", create=True, size=20*6*4)
-            self.detection_shms.append(shm_in)
-            self.detection_shms.append(shm_out)
-
-        for name, detector in self.config.detectors.items():
-            if detector.type == 'cpu':
-                self.detectors[name] = EdgeTPUProcess(name, self.detection_queue, out_events=self.detection_out_events, tf_device='cpu')
-            if detector.type == 'edgetpu':
-                self.detectors[name] = EdgeTPUProcess(name, self.detection_queue, out_events=self.detection_out_events, tf_device=detector.device)
-
-    def start_detected_frames_processor(self):
-        self.detected_frames_processor = TrackedObjectProcessor(self.config, self.mqtt_client, self.config.mqtt.topic_prefix, 
-            self.detected_frames_queue, self.event_queue, self.event_processed_queue, self.stop_event)
-        self.detected_frames_processor.start()
-
-    def start_camera_processors(self):
-        for name, config in self.config.cameras.items():
-            camera_process = mp.Process(target=track_camera, name=f"camera_processor:{name}", args=(name, config,
-                self.detection_queue, self.detection_out_events[name], self.detected_frames_queue, 
-                self.camera_metrics[name]))
-            camera_process.daemon = True
-            self.camera_metrics[name]['process'] = camera_process
-            camera_process.start()
-            logger.info(f"Camera processor started for {name}: {camera_process.pid}")
-
-    def start_camera_capture_processes(self):
-        for name, config in self.config.cameras.items():
-            capture_process = mp.Process(target=capture_camera, name=f"camera_capture:{name}", args=(name, config,
-                self.camera_metrics[name]))
-            capture_process.daemon = True
-            self.camera_metrics[name]['capture_process'] = capture_process
-            capture_process.start()
-            logger.info(f"Capture process started for {name}: {capture_process.pid}")
-    
-    def start_event_processor(self):
-        self.event_processor = EventProcessor(self.config, self.camera_metrics, self.event_queue, self.event_processed_queue, self.stop_event)
-        self.event_processor.start()
-    
-    def start_event_cleanup(self):
-        self.event_cleanup = EventCleanup(self.config, self.stop_event)
-        self.event_cleanup.start()
-    
-    def start_recording_maintainer(self):
-        self.recording_maintainer = RecordingMaintainer(self.config, self.stop_event)
-        self.recording_maintainer.start()
-
-    def start_watchdog(self):
-        self.frigate_watchdog = FrigateWatchdog(self.detectors, self.stop_event)
-        self.frigate_watchdog.start()
-
-    def start(self):
-        self.init_logger()
-        try:
-            self.ensure_dirs()
-            try:
-                self.init_config()
-            except Exception as e:
-                logger.error(f"Error parsing config: {e}")
-                self.log_process.terminate()
-                sys.exit(1)
-            self.set_log_levels()
-            self.init_queues()
-            self.init_database()
-            self.init_mqtt()
-        except Exception as e:
-            logger.error(e)
-            self.log_process.terminate()
-            sys.exit(1)
-        self.start_detectors()
-        self.start_detected_frames_processor()
-        self.start_camera_processors()
-        self.start_camera_capture_processes()
-        self.init_web_server()
-        self.start_event_processor()
-        self.start_event_cleanup()
-        self.start_recording_maintainer()
-        self.start_watchdog()
-        # self.zeroconf = broadcast_zeroconf(self.config.mqtt.client_id)
-
-        def receiveSignal(signalNumber, frame):
-            self.stop()
-            sys.exit()
-        
-        signal.signal(signal.SIGTERM, receiveSignal)
-
-        self.flask_app.run(host='127.0.0.1', port=5001, debug=False)
-        self.stop()
-    
-    def stop(self):
-        logger.info(f"Stopping...")
-        self.stop_event.set()
-
-        self.detected_frames_processor.join()
-        self.event_processor.join()
-        self.event_cleanup.join()
-        self.recording_maintainer.join()
-        self.frigate_watchdog.join()
-
-        for detector in self.detectors.values():
-            detector.stop()
-
-        while len(self.detection_shms) > 0:
-            shm = self.detection_shms.pop()
-            shm.close()
-            shm.unlink()

frigate/config.py

@@ -1,806 +0,0 @@
-import base64
-import json
-import os
-from typing import Dict
-
-import cv2
-import matplotlib.pyplot as plt
-import numpy as np
-import voluptuous as vol
-import yaml
-
-from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
-
-DETECTORS_SCHEMA = vol.Schema(
-    {
-        vol.Required(str): {
-            vol.Required('type', default='edgetpu'): vol.In(['cpu', 'edgetpu']), 
-            vol.Optional('device', default='usb'): str
-        }
-    }
-)
-
-DEFAULT_DETECTORS = {
-    'coral': {
-        'type': 'edgetpu',
-        'device': 'usb'
-    }
-}
-
-MQTT_SCHEMA = vol.Schema(
-    {
-        vol.Required('host'): str,
-        vol.Optional('port', default=1883): int,
-        vol.Optional('topic_prefix', default='frigate'): str,
-        vol.Optional('client_id', default='frigate'): str,
-        'user': str,
-        'password': str
-    }
-)
-
-SAVE_CLIPS_RETAIN_SCHEMA = vol.Schema(
-    {
-        vol.Required('default',default=10): int,
-        'objects': {
-            str: int
-        }
-    }
-)
-
-SAVE_CLIPS_SCHEMA = vol.Schema(
-    {
-        vol.Optional('max_seconds', default=300): int,
-        vol.Optional('retain', default={}): SAVE_CLIPS_RETAIN_SCHEMA
-    }
-)
-
-FFMPEG_GLOBAL_ARGS_DEFAULT = ['-hide_banner','-loglevel','fatal']
-FFMPEG_INPUT_ARGS_DEFAULT = ['-avoid_negative_ts', 'make_zero',
-    '-fflags', '+genpts+discardcorrupt',
-    '-rtsp_transport', 'tcp',
-    '-stimeout', '5000000',
-    '-use_wallclock_as_timestamps', '1']
-DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT = ['-f', 'rawvideo',
-    '-pix_fmt', 'yuv420p']
-RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-c", "copy", "-f", "flv"]
-SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-f", "segment", "-segment_time",
-    "10", "-segment_format", "mp4", "-reset_timestamps", "1", "-strftime",
-    "1", "-c", "copy", "-an"]
-RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-f", "segment", "-segment_time",
-    "60", "-segment_format", "mp4", "-reset_timestamps", "1", "-strftime",
-    "1", "-c", "copy", "-an"]
-
-GLOBAL_FFMPEG_SCHEMA = vol.Schema(
-    { 
-        vol.Optional('global_args', default=FFMPEG_GLOBAL_ARGS_DEFAULT):  vol.Any(str, [str]),
-        vol.Optional('hwaccel_args', default=[]): vol.Any(str, [str]),
-        vol.Optional('input_args', default=FFMPEG_INPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-        vol.Optional('output_args', default={}): {
-            vol.Optional('detect', default=DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-            vol.Optional('record', default=RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-            vol.Optional('clips', default=SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-            vol.Optional('rtmp', default=RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-        }
-    }
-)
-
-FILTER_SCHEMA = vol.Schema(
-    { 
-        str: {
-                vol.Optional('min_area', default=0): int,
-                vol.Optional('max_area', default=24000000): int,
-                vol.Optional('threshold', default=0.85): float
-            }
-    }
-)
-
-def filters_for_all_tracked_objects(object_config):
-    for tracked_object in object_config.get('track', ['person']):
-        if not 'filters' in object_config:
-            object_config['filters'] = {}
-        if not tracked_object in object_config['filters']:
-            object_config['filters'][tracked_object] = {}
-    return object_config
-
-OBJECTS_SCHEMA = vol.Schema(vol.All(filters_for_all_tracked_objects,
-    {
-        vol.Optional('track', default=['person']): [str],
-        vol.Optional('filters', default = {}): FILTER_SCHEMA.extend({ str: {vol.Optional('min_score', default=0.5): float}})
-    }
-))
-
-DEFAULT_CAMERA_SAVE_CLIPS = {
-    'enabled': False
-}
-DEFAULT_CAMERA_SNAPSHOTS = {
-    'show_timestamp': True,
-    'draw_zones': False,
-    'draw_bounding_boxes': True,
-    'crop_to_region': True
-}
-
-def each_role_used_once(inputs):
-    roles = [role for i in inputs for role in i['roles']]
-    roles_set = set(roles)
-    if len(roles) > len(roles_set):
-        raise ValueError
-    return inputs
-
-CAMERA_FFMPEG_SCHEMA = vol.Schema(
-    { 
-        vol.Required('inputs'): vol.All([{
-            vol.Required('path'): str,
-            vol.Required('roles'): ['detect', 'clips', 'record', 'rtmp'],
-            'global_args':  vol.Any(str, [str]),
-            'hwaccel_args': vol.Any(str, [str]),
-            'input_args': vol.Any(str, [str]),
-        }], vol.Msg(each_role_used_once, msg="Each input role may only be used once")), 
-        'output_args': {
-            vol.Optional('detect', default=DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-            vol.Optional('record', default=RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-            vol.Optional('clips', default=SAVE_CLIPS_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-            vol.Optional('rtmp', default=RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT): vol.Any(str, [str]),
-        }
-    }
-)
-
-def ensure_zones_and_cameras_have_different_names(cameras):
-    zones = [zone for camera in cameras.values() for zone in camera['zones'].keys()]
-    for zone in zones:
-        if zone in cameras.keys():
-            raise ValueError
-    return cameras
-
-CAMERAS_SCHEMA = vol.Schema(vol.All(
-    {
-        str: {
-            vol.Required('ffmpeg'): CAMERA_FFMPEG_SCHEMA,
-            vol.Required('height'): int,
-            vol.Required('width'): int,
-            'fps': int,
-            'mask': str,
-            vol.Optional('best_image_timeout', default=60): int,
-            vol.Optional('zones', default={}):  {
-                str: {
-                    vol.Required('coordinates'): vol.Any(str, [str]),
-                    vol.Optional('filters', default={}): FILTER_SCHEMA
-                }
-            },
-            vol.Optional('save_clips', default=DEFAULT_CAMERA_SAVE_CLIPS): {
-                vol.Optional('enabled', default=False): bool,
-                vol.Optional('pre_capture', default=30): int,
-                'objects': [str],
-                vol.Optional('retain', default={}): SAVE_CLIPS_RETAIN_SCHEMA,
-            },
-            vol.Optional('record', default={}): {
-                'enabled': bool,
-                'retain_days': int,
-            },
-            vol.Optional('rtmp', default={}): {
-                vol.Required('enabled', default=True): bool,
-            },
-            vol.Optional('snapshots', default=DEFAULT_CAMERA_SNAPSHOTS): {
-                vol.Optional('show_timestamp', default=True): bool,
-                vol.Optional('draw_zones', default=False): bool,
-                vol.Optional('draw_bounding_boxes', default=True): bool,
-                vol.Optional('crop_to_region', default=True): bool,
-                vol.Optional('height', default=175): int
-            },
-            'objects': OBJECTS_SCHEMA
-        }
-    }, vol.Msg(ensure_zones_and_cameras_have_different_names, msg='Zones cannot share names with cameras'))
-)
-
-FRIGATE_CONFIG_SCHEMA = vol.Schema(
-    {
-        vol.Optional('detectors', default=DEFAULT_DETECTORS): DETECTORS_SCHEMA,
-        'mqtt': MQTT_SCHEMA,
-        vol.Optional('logger', default={'default': 'info', 'logs': {}}): {
-            vol.Optional('default', default='info'): vol.In(['info', 'debug', 'warning', 'error', 'critical']),
-            vol.Optional('logs', default={}): {str: vol.In(['info', 'debug', 'warning', 'error', 'critical']) }
-        },
-        vol.Optional('save_clips', default={}): SAVE_CLIPS_SCHEMA,
-        vol.Optional('record', default={}): {
-            vol.Optional('enabled', default=False): bool,
-            vol.Optional('retain_days', default=30): int,
-        },
-        vol.Optional('ffmpeg', default={}): GLOBAL_FFMPEG_SCHEMA,
-        vol.Optional('objects', default={}): OBJECTS_SCHEMA,
-        vol.Required('cameras', default={}): CAMERAS_SCHEMA
-    }
-)
-
-class DetectorConfig():
-    def __init__(self, config):
-        self._type = config['type']
-        self._device = config['device']
-    
-    @property
-    def type(self):
-        return self._type
-    
-    @property
-    def device(self):
-        return self._device
-    
-    def to_dict(self):
-        return {
-            'type': self.type,
-            'device': self.device
-        }
-
-class LoggerConfig():
-    def __init__(self, config):
-        self._default = config['default'].upper()
-        self._logs = {k: v.upper() for k, v in config['logs'].items()}
-    
-    @property
-    def default(self):
-        return self._default
-    
-    @property
-    def logs(self):
-        return self._logs
-    
-    def to_dict(self):
-        return {
-            'default': self.default,
-            'logs': self.logs
-        }
-
-class MqttConfig():
-    def __init__(self, config):
-        self._host = config['host']
-        self._port = config['port']
-        self._topic_prefix = config['topic_prefix']
-        self._client_id = config['client_id']
-        self._user = config.get('user')
-        self._password = config.get('password')
-    
-    @property
-    def host(self):
-        return self._host
-    
-    @property
-    def port(self):
-        return self._port
-    
-    @property
-    def topic_prefix(self):
-        return self._topic_prefix
-    
-    @property
-    def client_id(self):
-        return self._client_id
-    
-    @property
-    def user(self):
-        return self._user
-    
-    @property
-    def password(self):
-        return self._password
-
-    def to_dict(self):
-        return {
-            'host': self.host,
-            'port': self.port,
-            'topic_prefix': self.topic_prefix,
-            'client_id': self.client_id,
-            'user': self.user
-        }
-
-class CameraInput():
-    def __init__(self, global_config, ffmpeg_input):
-        self._path = ffmpeg_input['path']
-        self._roles = ffmpeg_input['roles']
-        self._global_args = ffmpeg_input.get('global_args', global_config['global_args'])
-        self._hwaccel_args = ffmpeg_input.get('hwaccel_args', global_config['hwaccel_args'])
-        self._input_args = ffmpeg_input.get('input_args', global_config['input_args'])
-    
-    @property
-    def path(self):
-        return self._path
-    
-    @property
-    def roles(self):
-        return self._roles
-    
-    @property
-    def global_args(self):
-        return self._global_args if isinstance(self._global_args, list) else self._global_args.split(' ')
-    
-    @property
-    def hwaccel_args(self):
-        return self._hwaccel_args if isinstance(self._hwaccel_args, list) else self._hwaccel_args.split(' ')
-
-    @property
-    def input_args(self):
-        return self._input_args if isinstance(self._input_args, list) else self._input_args.split(' ')
-
-class CameraFfmpegConfig():
-    def __init__(self, global_config, config):
-        self._inputs = [CameraInput(global_config, i) for i in config['inputs']]
-        self._output_args = config.get('output_args', global_config['output_args'])
-    
-    @property
-    def inputs(self):
-        return self._inputs
-    
-    @property
-    def output_args(self):
-        return {k: v if isinstance(v, list) else v.split(' ') for k, v in self._output_args.items()}
-
-class SaveClipsRetainConfig():
-    def __init__(self, global_config, config):
-        self._default = config.get('default', global_config.get('default'))
-        self._objects = config.get('objects', global_config.get('objects', {}))
-    
-    @property
-    def default(self):
-        return self._default
-    
-    @property
-    def objects(self):
-        return self._objects
-    
-    def to_dict(self):
-        return {
-            'default': self.default,
-            'objects': self.objects
-        }
-
-class SaveClipsConfig():
-    def __init__(self, config):
-        self._max_seconds = config['max_seconds']
-        self._retain = SaveClipsRetainConfig(config['retain'], config['retain'])
-    
-    @property
-    def max_seconds(self):
-        return self._max_seconds
-
-    @property
-    def retain(self):
-        return self._retain
-    
-    def to_dict(self):
-        return {
-            'max_seconds': self.max_seconds,
-            'retain': self.retain.to_dict()
-        }
-
-class RecordConfig():
-    def __init__(self, global_config, config):
-        self._enabled = config.get('enabled', global_config['enabled'])
-        self._retain_days = config.get('retain_days', global_config['retain_days'])
-
-    @property
-    def enabled(self):
-        return self._enabled
-    
-    @property
-    def retain_days(self):
-        return self._retain_days
-    
-    def to_dict(self):
-        return {
-            'enabled': self.enabled,
-            'retain_days': self.retain_days,
-        }
-
-class FilterConfig():
-    def __init__(self, config):
-        self._min_area = config['min_area']
-        self._max_area = config['max_area']
-        self._threshold = config['threshold']
-        self._min_score = config.get('min_score')
-    
-    @property
-    def min_area(self):
-        return self._min_area
-
-    @property
-    def max_area(self):
-        return self._max_area
-
-    @property
-    def threshold(self):
-        return self._threshold
-    
-    @property
-    def min_score(self):
-        return self._min_score
-    
-    def to_dict(self):
-        return {
-            'min_area': self.min_area,
-            'max_area': self.max_area,
-            'threshold': self.threshold,
-            'min_score': self.min_score
-        }
-
-class ObjectConfig():
-    def __init__(self, global_config, config):
-        self._track = config.get('track', global_config['track'])
-        if 'filters' in config:
-            self._filters = { name: FilterConfig(c) for name, c in config['filters'].items() }
-        else:
-            self._filters = { name: FilterConfig(c) for name, c in global_config['filters'].items() }
-    
-    @property
-    def track(self):
-        return self._track
-    
-    @property
-    def filters(self) -> Dict[str, FilterConfig]:
-        return self._filters
-
-    def to_dict(self):
-        return {
-            'track': self.track,
-            'filters': { k: f.to_dict() for k, f in self.filters.items() }
-        }
-
-class CameraSnapshotsConfig():
-    def __init__(self, config):
-        self._show_timestamp = config['show_timestamp']
-        self._draw_zones = config['draw_zones']
-        self._draw_bounding_boxes = config['draw_bounding_boxes']
-        self._crop_to_region = config['crop_to_region']
-        self._height = config.get('height')
-    
-    @property
-    def show_timestamp(self):
-        return self._show_timestamp
-    
-    @property
-    def draw_zones(self):
-        return self._draw_zones
-
-    @property
-    def draw_bounding_boxes(self):
-        return self._draw_bounding_boxes
-
-    @property
-    def crop_to_region(self):
-        return self._crop_to_region
-
-    @property
-    def height(self):
-        return self._height
-    
-    def to_dict(self):
-        return {
-            'show_timestamp': self.show_timestamp,
-            'draw_zones': self.draw_zones,
-            'draw_bounding_boxes': self.draw_bounding_boxes,
-            'crop_to_region': self.crop_to_region,
-            'height': self.height
-        }
-
-class CameraSaveClipsConfig():
-    def __init__(self, global_config, config):
-        self._enabled = config['enabled']
-        self._pre_capture = config['pre_capture']
-        self._objects = config.get('objects', global_config['objects']['track'])
-        self._retain = SaveClipsRetainConfig(global_config['save_clips']['retain'], config['retain'])
-    
-    @property
-    def enabled(self):
-        return self._enabled
-    
-    @property
-    def pre_capture(self):
-        return self._pre_capture
-
-    @property
-    def objects(self):
-        return self._objects
-    
-    @property
-    def retain(self):
-        return self._retain
-    
-    def to_dict(self):
-        return {
-            'enabled': self.enabled,
-            'pre_capture': self.pre_capture,
-            'objects': self.objects,
-            'retain': self.retain.to_dict()
-        }
-
-class CameraRtmpConfig():
-    def __init__(self, global_config, config):
-        self._enabled = config['enabled']
-    
-    @property
-    def enabled(self):
-        return self._enabled
-    
-    def to_dict(self):
-        return {
-            'enabled': self.enabled,
-        }
-
-class ZoneConfig():
-    def __init__(self, name, config):
-        self._coordinates = config['coordinates']
-        self._filters = { name: FilterConfig(c) for name, c in config['filters'].items() }
-
-        if isinstance(self._coordinates, list):
-            self._contour =  np.array([[int(p.split(',')[0]), int(p.split(',')[1])] for p in self._coordinates])
-        elif isinstance(self._coordinates, str):
-            points = self._coordinates.split(',')
-            self._contour =  np.array([[int(points[i]), int(points[i+1])] for i in range(0, len(points), 2)])
-        else:
-            print(f"Unable to parse zone coordinates for {name}")
-            self._contour = np.array([])
-        
-        self._color = (0,0,0)
-    
-    @property
-    def coordinates(self):
-        return self._coordinates
-    
-    @property
-    def contour(self):
-        return self._contour
-    
-    @contour.setter
-    def contour(self, val):
-        self._contour = val
-    
-    @property
-    def color(self):
-        return self._color
-    
-    @color.setter
-    def color(self, val):
-        self._color = val
-    
-    @property
-    def filters(self):
-        return self._filters
-    
-    def to_dict(self):
-        return {
-            'filters': {k: f.to_dict() for k, f in self.filters.items()}
-        }
-
-class CameraConfig():
-    def __init__(self, name, config, global_config):
-        self._name = name
-        self._ffmpeg = CameraFfmpegConfig(global_config['ffmpeg'], config['ffmpeg'])
-        self._height = config.get('height')
-        self._width = config.get('width')
-        self._frame_shape = (self._height, self._width)
-        self._frame_shape_yuv = (self._frame_shape[0]*3//2, self._frame_shape[1])
-        self._fps = config.get('fps')
-        self._mask = self._create_mask(config.get('mask'))
-        self._best_image_timeout = config['best_image_timeout']
-        self._zones = { name: ZoneConfig(name, z) for name, z in config['zones'].items() }
-        self._save_clips = CameraSaveClipsConfig(global_config, config['save_clips'])
-        self._record = RecordConfig(global_config['record'], config['record'])
-        self._rtmp = CameraRtmpConfig(global_config, config['rtmp'])
-        self._snapshots = CameraSnapshotsConfig(config['snapshots'])
-        self._objects = ObjectConfig(global_config['objects'], config.get('objects', {}))
-
-        self._ffmpeg_cmds = []
-        for ffmpeg_input in self._ffmpeg.inputs:
-            self._ffmpeg_cmds.append({
-                'roles': ffmpeg_input.roles,
-                'cmd': self._get_ffmpeg_cmd(ffmpeg_input)
-            })
-
-
-        self._set_zone_colors(self._zones)
-
-    def _create_mask(self, mask):
-        if mask:
-            if mask.startswith('base64,'):
-                img = base64.b64decode(mask[7:]) 
-                np_img = np.fromstring(img, dtype=np.uint8)
-                mask_img = cv2.imdecode(np_img, cv2.IMREAD_GRAYSCALE)
-            elif mask.startswith('poly,'):
-                points = mask.split(',')[1:]
-                contour =  np.array([[int(points[i]), int(points[i+1])] for i in range(0, len(points), 2)])
-                mask_img = np.zeros(self.frame_shape, np.uint8)
-                mask_img[:] = 255
-                cv2.fillPoly(mask_img, pts=[contour], color=(0))
-            else:
-                mask_img = cv2.imread(f"/config/{mask}", cv2.IMREAD_GRAYSCALE)
-        else:
-            mask_img = None
-
-        if mask_img is None or mask_img.size == 0:
-            mask_img = np.zeros(self.frame_shape, np.uint8)
-            mask_img[:] = 255
-        
-        return mask_img
-
-    def _get_ffmpeg_cmd(self, ffmpeg_input):
-        ffmpeg_output_args = []
-        if 'detect' in ffmpeg_input.roles:
-            ffmpeg_output_args = self.ffmpeg.output_args['detect'] + ffmpeg_output_args + ['pipe:']
-            if self.fps:
-                ffmpeg_output_args = ["-r", str(self.fps)] + ffmpeg_output_args
-        if 'rtmp' in ffmpeg_input.roles and self.rtmp.enabled:
-            ffmpeg_output_args = self.ffmpeg.output_args['rtmp'] + [
-                f"rtmp://127.0.0.1/live/{self.name}"
-            ] + ffmpeg_output_args
-        if 'clips' in ffmpeg_input.roles and self.save_clips.enabled:
-            ffmpeg_output_args = self.ffmpeg.output_args['clips'] + [
-                f"{os.path.join(CACHE_DIR, self.name)}-%Y%m%d%H%M%S.mp4"
-            ] + ffmpeg_output_args
-        if 'record' in ffmpeg_input.roles and self.record.enabled:
-            ffmpeg_output_args = self.ffmpeg.output_args['record'] + [
-                f"{os.path.join(RECORD_DIR, self.name)}-%Y%m%d%H%M%S.mp4"
-            ] + ffmpeg_output_args
-        return (['ffmpeg'] +
-                ffmpeg_input.global_args +
-                ffmpeg_input.hwaccel_args +
-                ffmpeg_input.input_args +
-                ['-i', ffmpeg_input.path] +
-                ffmpeg_output_args)
-    
-    def _set_zone_colors(self, zones: Dict[str, ZoneConfig]):
-        # set colors for zones
-        all_zone_names = zones.keys()
-        zone_colors = {}
-        colors = plt.cm.get_cmap('tab10', len(all_zone_names))
-        for i, zone in enumerate(all_zone_names):
-            zone_colors[zone] = tuple(int(round(255 * c)) for c in colors(i)[:3])
-        
-        for name, zone in zones.items():
-            zone.color = zone_colors[name]
-    
-    @property
-    def name(self):
-        return self._name
-
-    @property
-    def ffmpeg(self):
-        return self._ffmpeg
-    
-    @property
-    def height(self):
-        return self._height
-    
-    @property
-    def width(self):
-        return self._width
-    
-    @property
-    def fps(self):
-        return self._fps
-    
-    @property
-    def mask(self):
-        return self._mask
-    
-    @property
-    def best_image_timeout(self):
-        return self._best_image_timeout
-    
-    @property
-    def zones(self)-> Dict[str, ZoneConfig]:
-        return self._zones
-    
-    @property
-    def save_clips(self):
-        return self._save_clips
-    
-    @property
-    def record(self):
-        return self._record
-    
-    @property
-    def rtmp(self):
-        return self._rtmp
-    
-    @property
-    def snapshots(self):
-        return self._snapshots
-    
-    @property
-    def objects(self):
-        return self._objects
-
-    @property
-    def frame_shape(self):
-        return self._frame_shape
-
-    @property
-    def frame_shape_yuv(self):
-        return self._frame_shape_yuv
-
-    @property
-    def ffmpeg_cmds(self):
-        return self._ffmpeg_cmds
-
-    def to_dict(self):
-        return {
-            'name': self.name,
-            'height': self.height,
-            'width': self.width,
-            'fps': self.fps,
-            'best_image_timeout': self.best_image_timeout,
-            'zones': {k: z.to_dict() for k, z in self.zones.items()},
-            'save_clips': self.save_clips.to_dict(),
-            'record': self.record.to_dict(),
-            'rtmp': self.rtmp.to_dict(),
-            'snapshots': self.snapshots.to_dict(),
-            'objects': self.objects.to_dict(),
-            'frame_shape': self.frame_shape,
-            'ffmpeg_cmds': [{'roles': c['roles'], 'cmd': ' '.join(c['cmd'])} for c in self.ffmpeg_cmds],
-        }
-
-
-class FrigateConfig():
-    def __init__(self, config_file=None, config=None):
-        if config is None and config_file is None:
-            raise ValueError('config or config_file must be defined')
-        elif not config_file is None:
-            config = self._load_file(config_file)
-        
-        config = FRIGATE_CONFIG_SCHEMA(config)
-
-        config = self._sub_env_vars(config)
-
-        self._detectors = { name: DetectorConfig(d) for name, d in config['detectors'].items() }
-        self._mqtt = MqttConfig(config['mqtt'])
-        self._save_clips = SaveClipsConfig(config['save_clips'])
-        self._cameras = { name: CameraConfig(name, c, config) for name, c in config['cameras'].items() }
-        self._logger = LoggerConfig(config['logger'])
-
-    def _sub_env_vars(self, config):
-        frigate_env_vars = {k: v for k, v in os.environ.items() if k.startswith('FRIGATE_')}
-
-        if 'password' in config['mqtt']:
-            config['mqtt']['password'] = config['mqtt']['password'].format(**frigate_env_vars) 
-        
-        for camera in config['cameras'].values():
-            for i in camera['ffmpeg']['inputs']:
-                i['path'] = i['path'].format(**frigate_env_vars)
-        
-        return config
-
-    def _load_file(self, config_file):
-        with open(config_file) as f:
-            raw_config = f.read()
-        
-        if config_file.endswith(".yml"):    
-            config = yaml.safe_load(raw_config)
-        elif config_file.endswith(".json"):
-            config = json.loads(raw_config)
-        
-        return config
-    
-    def to_dict(self):
-        return {
-            'detectors': {k: d.to_dict() for k, d in self.detectors.items()},
-            'mqtt': self.mqtt.to_dict(),
-            'save_clips': self.save_clips.to_dict(),
-            'cameras': {k: c.to_dict() for k, c in self.cameras.items()},
-            'logger': self.logger.to_dict()
-        }
-    
-    @property
-    def detectors(self) -> Dict[str, DetectorConfig]:
-        return self._detectors
-    
-    @property
-    def logger(self):
-        return self._logger
-
-    @property
-    def mqtt(self):
-        return self._mqtt
-    
-    @property
-    def save_clips(self):
-        return self._save_clips
-
-    @property
-    def cameras(self) -> Dict[str, CameraConfig]:
-        return self._cameras

frigate/const.py

@@ -1,3 +0,0 @@
-CLIPS_DIR = '/media/frigate/clips'
-RECORD_DIR = '/media/frigate/recordings'
-CACHE_DIR = '/tmp/cache'

frigate/edgetpu.py

@@ -1,22 +1,12 @@
+import os
 import datetime
 import hashlib
-import logging
 import multiprocessing as mp
-import os
-import queue
-import threading
-import signal
-from abc import ABC, abstractmethod
-from multiprocessing.connection import Connection
-from typing import Dict
-
 import numpy as np
+import pyarrow.plasma as plasma
 import tflite_runtime.interpreter as tflite
 from tflite_runtime.interpreter import load_delegate
-
-from frigate.util import EventsPerSecond, SharedMemoryFrameManager, listen
-
-logger = logging.getLogger(__name__)
+from frigate.util import EventsPerSecond, listen
 
 def load_labels(path, encoding='utf-8'):
   """Loads labels from file (with or without index numbers).
@@ -37,32 +27,13 @@ def load_labels(path, encoding='utf-8'):
     else:
         return {index: line.strip() for index, line in enumerate(lines)}
 
-class ObjectDetector(ABC):
-    @abstractmethod
-    def detect(self, tensor_input, threshold = .4):
-        pass
-
-class LocalObjectDetector(ObjectDetector):
-    def __init__(self, tf_device=None, labels=None):
-        self.fps = EventsPerSecond()
-        if labels is None:
-            self.labels = {}
-        else:
-            self.labels = load_labels(labels)
-
-        device_config = {"device": "usb"}
-        if not tf_device is None:
-            device_config = {"device": tf_device}
-
+class ObjectDetector():
+    def __init__(self):
         edge_tpu_delegate = None
-
-        if tf_device != 'cpu':
-            try:
-                logger.info(f"Attempting to load TPU as {device_config['device']}")
-                edge_tpu_delegate = load_delegate('libedgetpu.so.1.0', device_config)
-                logger.info("TPU found")
-            except ValueError:
-                logger.info("No EdgeTPU detected. Falling back to CPU.")
+        try:
+            edge_tpu_delegate = load_delegate('libedgetpu.so.1.0')
+        except ValueError:
+            print("No EdgeTPU detected. Falling back to CPU.")
         
         if edge_tpu_delegate is None:
             self.interpreter = tflite.Interpreter(
@@ -77,22 +48,6 @@ class LocalObjectDetector(ObjectDetector):
         self.tensor_input_details = self.interpreter.get_input_details()
         self.tensor_output_details = self.interpreter.get_output_details()
     
-    def detect(self, tensor_input, threshold=.4):
-        detections = []
-
-        raw_detections = self.detect_raw(tensor_input)
-
-        for d in raw_detections:
-            if d[1] < threshold:
-                break
-            detections.append((
-                self.labels[int(d[0])],
-                float(d[1]),
-                (d[2], d[3], d[4], d[5])
-            ))
-        self.fps.update()
-        return detections
-
     def detect_raw(self, tensor_input):
         self.interpreter.set_tensor(self.tensor_input_details[0]['index'], tensor_input)
         self.interpreter.invoke()
@@ -106,108 +61,75 @@ class LocalObjectDetector(ObjectDetector):
         
         return detections
 
-def run_detector(name: str, detection_queue: mp.Queue, out_events: Dict[str, mp.Event], avg_speed, start, tf_device):
-    threading.current_thread().name = f"detector:{name}"
-    logger = logging.getLogger(f"detector.{name}")
-    logger.info(f"Starting detection process: {os.getpid()}")
+def run_detector(detection_queue, avg_speed, start):
+    print(f"Starting detection process: {os.getpid()}")
     listen()
-
-    stop_event = mp.Event()
-    def receiveSignal(signalNumber, frame):
-        stop_event.set()
-    
-    signal.signal(signal.SIGTERM, receiveSignal)
-    signal.signal(signal.SIGINT, receiveSignal)
-
-    frame_manager = SharedMemoryFrameManager()
-    object_detector = LocalObjectDetector(tf_device=tf_device)
-
-    outputs = {}
-    for name in out_events.keys():
-        out_shm = mp.shared_memory.SharedMemory(name=f"out-{name}", create=False)
-        out_np = np.ndarray((20,6), dtype=np.float32, buffer=out_shm.buf)
-        outputs[name] = {
-            'shm': out_shm,
-            'np': out_np
-        }
+    plasma_client = plasma.connect("/tmp/plasma")
+    object_detector = ObjectDetector()
 
     while True:
-        if stop_event.is_set():
-            break
+        object_id_str = detection_queue.get()
+        object_id_hash = hashlib.sha1(str.encode(object_id_str))
+        object_id = plasma.ObjectID(object_id_hash.digest())
+        object_id_out = plasma.ObjectID(hashlib.sha1(str.encode(f"out-{object_id_str}")).digest())
+        input_frame = plasma_client.get(object_id, timeout_ms=0)
 
-        try:
-            connection_id = detection_queue.get(timeout=5)
-        except queue.Empty:
-            continue
-        input_frame = frame_manager.get(connection_id, (1,300,300,3))
-
-        if input_frame is None:
+        if input_frame is plasma.ObjectNotAvailable:
             continue
 
-        # detect and send the output
+        # detect and put the output in the plasma store
         start.value = datetime.datetime.now().timestamp()
-        detections = object_detector.detect_raw(input_frame)
+        plasma_client.put(object_detector.detect_raw(input_frame), object_id_out)
         duration = datetime.datetime.now().timestamp()-start.value
-        outputs[connection_id]['np'][:] = detections[:]
-        out_events[connection_id].set()
         start.value = 0.0
 
         avg_speed.value = (avg_speed.value*9 + duration)/10
         
 class EdgeTPUProcess():
-    def __init__(self, name, detection_queue, out_events, tf_device=None):
-        self.name = name
-        self.out_events = out_events
-        self.detection_queue = detection_queue
+    def __init__(self):
+        self.detection_queue = mp.SimpleQueue()
         self.avg_inference_speed = mp.Value('d', 0.01)
         self.detection_start = mp.Value('d', 0.0)
         self.detect_process = None
-        self.tf_device = tf_device
         self.start_or_restart()
 
-    def stop(self):
-        self.detect_process.terminate()
-        logging.info("Waiting for detection process to exit gracefully...")
-        self.detect_process.join(timeout=30)
-        if self.detect_process.exitcode is None:
-            logging.info("Detection process didnt exit. Force killing...")
-            self.detect_process.kill()
-            self.detect_process.join()
-
     def start_or_restart(self):
         self.detection_start.value = 0.0
         if (not self.detect_process is None) and self.detect_process.is_alive():
-            self.stop()
-        self.detect_process = mp.Process(target=run_detector, name=f"detector:{self.name}", args=(self.name, self.detection_queue, self.out_events, self.avg_inference_speed, self.detection_start, self.tf_device))
+            self.detect_process.terminate()
+            print("Waiting for detection process to exit gracefully...")
+            self.detect_process.join(timeout=30)
+            if self.detect_process.exitcode is None:
+                print("Detection process didnt exit. Force killing...")
+                self.detect_process.kill()
+                self.detect_process.join()
+        self.detect_process = mp.Process(target=run_detector, args=(self.detection_queue, self.avg_inference_speed, self.detection_start))
         self.detect_process.daemon = True
         self.detect_process.start()
 
 class RemoteObjectDetector():
-    def __init__(self, name, labels, detection_queue, event):
+    def __init__(self, name, labels, detection_queue):
         self.labels = load_labels(labels)
         self.name = name
         self.fps = EventsPerSecond()
+        self.plasma_client = plasma.connect("/tmp/plasma")
         self.detection_queue = detection_queue
-        self.event = event
-        self.shm = mp.shared_memory.SharedMemory(name=self.name, create=False)
-        self.np_shm = np.ndarray((1,300,300,3), dtype=np.uint8, buffer=self.shm.buf)
-        self.out_shm = mp.shared_memory.SharedMemory(name=f"out-{self.name}", create=False)
-        self.out_np_shm = np.ndarray((20,6), dtype=np.float32, buffer=self.out_shm.buf)
     
     def detect(self, tensor_input, threshold=.4):
         detections = []
 
-        # copy input to shared memory
-        self.np_shm[:] = tensor_input[:]
-        self.event.clear()
-        self.detection_queue.put(self.name)
-        result = self.event.wait(timeout=10.0)
+        now = f"{self.name}-{str(datetime.datetime.now().timestamp())}"
+        object_id_frame = plasma.ObjectID(hashlib.sha1(str.encode(now)).digest())
+        object_id_detections = plasma.ObjectID(hashlib.sha1(str.encode(f"out-{now}")).digest())
+        self.plasma_client.put(tensor_input, object_id_frame)
+        self.detection_queue.put(now)
+        raw_detections = self.plasma_client.get(object_id_detections, timeout_ms=10000)
 
-        # if it timed out
-        if result is None:
+        if raw_detections is plasma.ObjectNotAvailable:
+            self.plasma_client.delete([object_id_frame])
             return detections
 
-        for d in self.out_np_shm:
+        for d in raw_detections:
             if d[1] < threshold:
                 break
             detections.append((
@@ -215,9 +137,6 @@ class RemoteObjectDetector():
                 float(d[1]),
                 (d[2], d[3], d[4], d[5])
             ))
+        self.plasma_client.delete([object_id_frame, object_id_detections])
         self.fps.update()
         return detections
-    
-    def cleanup(self):
-        self.shm.unlink()
-        self.out_shm.unlink()

frigate/events.py

@@ -1,286 +0,0 @@
-import datetime
-import json
-import logging
-import os
-import queue
-import subprocess as sp
-import threading
-import time
-from collections import defaultdict
-from pathlib import Path
-
-import psutil
-
-from frigate.config import FrigateConfig
-from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
-from frigate.models import Event
-
-from peewee import fn
-
-logger = logging.getLogger(__name__)
-
-class EventProcessor(threading.Thread):
-    def __init__(self, config, camera_processes, event_queue, event_processed_queue, stop_event):
-        threading.Thread.__init__(self)
-        self.name = 'event_processor'
-        self.config = config
-        self.camera_processes = camera_processes
-        self.cached_clips = {}
-        self.event_queue = event_queue
-        self.event_processed_queue = event_processed_queue
-        self.events_in_process = {}
-        self.stop_event = stop_event
-    
-    def refresh_cache(self):
-        cached_files = os.listdir(CACHE_DIR)
-
-        files_in_use = []
-        for process in psutil.process_iter():
-            if process.name() != 'ffmpeg':
-                continue
-            try:
-                flist = process.open_files()
-                if flist:
-                    for nt in flist:
-                        if nt.path.startswith(CACHE_DIR):
-                            files_in_use.append(nt.path.split('/')[-1])
-            except:
-                continue
-
-        for f in cached_files:
-            if f in files_in_use or f in self.cached_clips:
-                continue
-
-            camera = '-'.join(f.split('-')[:-1])
-            start_time = datetime.datetime.strptime(f.split('-')[-1].split('.')[0], '%Y%m%d%H%M%S')
-        
-            ffprobe_cmd = " ".join([
-                'ffprobe',
-                '-v',
-                'error',
-                '-show_entries',
-                'format=duration',
-                '-of',
-                'default=noprint_wrappers=1:nokey=1',
-                f"{os.path.join(CACHE_DIR,f)}"
-            ])
-            p = sp.Popen(ffprobe_cmd, stdout=sp.PIPE, shell=True)
-            (output, err) = p.communicate()
-            p_status = p.wait()
-            if p_status == 0:
-                duration = float(output.decode('utf-8').strip())
-            else:
-                logger.info(f"bad file: {f}")
-                os.remove(os.path.join(CACHE_DIR,f))
-                continue
-
-            self.cached_clips[f] = {
-                'path': f,
-                'camera': camera,
-                'start_time': start_time.timestamp(),
-                'duration': duration
-            }
-
-        if len(self.events_in_process) > 0:
-            earliest_event = min(self.events_in_process.values(), key=lambda x:x['start_time'])['start_time']
-        else:
-            earliest_event = datetime.datetime.now().timestamp()
-
-        # if the earliest event exceeds the max seconds, cap it
-        max_seconds = self.config.save_clips.max_seconds
-        if datetime.datetime.now().timestamp()-earliest_event > max_seconds:
-            earliest_event = datetime.datetime.now().timestamp()-max_seconds
-        
-        for f, data in list(self.cached_clips.items()):
-            if earliest_event-90 > data['start_time']+data['duration']:
-                del self.cached_clips[f]
-                os.remove(os.path.join(CACHE_DIR,f))
-
-    def create_clip(self, camera, event_data, pre_capture):
-        # get all clips from the camera with the event sorted
-        sorted_clips = sorted([c for c in self.cached_clips.values() if c['camera'] == camera], key = lambda i: i['start_time'])
-
-        while sorted_clips[-1]['start_time'] + sorted_clips[-1]['duration'] < event_data['end_time']:
-            time.sleep(5)
-            self.refresh_cache()
-            # get all clips from the camera with the event sorted
-            sorted_clips = sorted([c for c in self.cached_clips.values() if c['camera'] == camera], key = lambda i: i['start_time'])
-        
-        playlist_start = event_data['start_time']-pre_capture
-        playlist_end = event_data['end_time']+5
-        playlist_lines = []
-        for clip in sorted_clips:
-            # clip ends before playlist start time, skip
-            if clip['start_time']+clip['duration'] < playlist_start:
-                continue
-            # clip starts after playlist ends, finish
-            if clip['start_time'] > playlist_end:
-                break
-            playlist_lines.append(f"file '{os.path.join(CACHE_DIR,clip['path'])}'")
-            # if this is the starting clip, add an inpoint
-            if clip['start_time'] < playlist_start:
-                playlist_lines.append(f"inpoint {int(playlist_start-clip['start_time'])}")
-            # if this is the ending clip, add an outpoint
-            if clip['start_time']+clip['duration'] > playlist_end:
-                playlist_lines.append(f"outpoint {int(playlist_end-clip['start_time'])}")
-
-        clip_name = f"{camera}-{event_data['id']}"
-        ffmpeg_cmd = [
-            'ffmpeg',
-            '-y',
-            '-protocol_whitelist',
-            'pipe,file',
-            '-f',
-            'concat',
-            '-safe',
-            '0',
-            '-i',
-            '-',
-            '-c',
-            'copy',
-            f"{os.path.join(CLIPS_DIR, clip_name)}.mp4"
-        ]
-
-        p = sp.run(ffmpeg_cmd, input="\n".join(playlist_lines), encoding='ascii', capture_output=True)
-        if p.returncode != 0:
-            logger.error(p.stderr)
-            return
-
-    def run(self):
-        while True:
-            if self.stop_event.is_set():
-                logger.info(f"Exiting event processor...")
-                break
-
-            try:
-                event_type, camera, event_data = self.event_queue.get(timeout=10)
-            except queue.Empty:
-                if not self.stop_event.is_set():
-                    self.refresh_cache()
-                continue
-
-            self.refresh_cache()
-
-            save_clips_config = self.config.cameras[camera].save_clips
-
-            # if save clips is not enabled for this camera, just continue
-            if not save_clips_config.enabled:
-                if event_type == 'end':
-                    self.event_processed_queue.put((event_data['id'], camera))
-                continue
-
-            # if specific objects are listed for this camera, only save clips for them
-            if not event_data['label'] in save_clips_config.objects:
-                if event_type == 'end':
-                    self.event_processed_queue.put((event_data['id'], camera))
-                continue
-
-            if event_type == 'start':
-                self.events_in_process[event_data['id']] = event_data
-
-            if event_type == 'end':
-                if len(self.cached_clips) > 0 and not event_data['false_positive']:
-                    self.create_clip(camera, event_data, save_clips_config.pre_capture)
-                    Event.create(
-                        id=event_data['id'],
-                        label=event_data['label'],
-                        camera=camera,
-                        start_time=event_data['start_time'],
-                        end_time=event_data['end_time'],
-                        top_score=event_data['top_score'],
-                        false_positive=event_data['false_positive'],
-                        zones=list(event_data['entered_zones']),
-                        thumbnail=event_data['thumbnail']
-                    )
-                del self.events_in_process[event_data['id']]
-                self.event_processed_queue.put((event_data['id'], camera))
-
-class EventCleanup(threading.Thread):
-    def __init__(self, config: FrigateConfig, stop_event):
-        threading.Thread.__init__(self)
-        self.name = 'event_cleanup'
-        self.config = config
-        self.stop_event = stop_event
-
-    def run(self):
-        counter = 0
-        while(True):
-            if self.stop_event.is_set():
-                logger.info(f"Exiting event cleanup...")
-                break
-
-            # only expire events every 10 minutes, but check for stop events every 10 seconds
-            time.sleep(10)
-            counter = counter + 1
-            if counter < 60:
-                continue
-            counter = 0
-
-            camera_keys = list(self.config.cameras.keys())
-
-            # Expire events from unlisted cameras based on the global config
-            retain_config = self.config.save_clips.retain
-            
-            distinct_labels = (Event.select(Event.label)
-                        .where(Event.camera.not_in(camera_keys))
-                        .distinct())
-            
-            # loop over object types in db
-            for l in distinct_labels:
-                # get expiration time for this label
-                expire_days = retain_config.objects.get(l.label, retain_config.default)
-                expire_after = (datetime.datetime.now() - datetime.timedelta(days=expire_days)).timestamp()
-                # grab all events after specific time
-                expired_events = (
-                    Event.select()
-                        .where(Event.camera.not_in(camera_keys), 
-                            Event.start_time < expire_after, 
-                            Event.label == l.label)
-                )
-                # delete the grabbed clips from disk
-                for event in expired_events:
-                    clip_name = f"{event.camera}-{event.id}"
-                    clip = Path(f"{os.path.join(CLIPS_DIR, clip_name)}.mp4")
-                    clip.unlink(missing_ok=True)
-                # delete the event for this type from the db
-                delete_query = (
-                    Event.delete()
-                        .where(Event.camera.not_in(camera_keys), 
-                            Event.start_time < expire_after, 
-                            Event.label == l.label)
-                )
-                delete_query.execute()
-
-            # Expire events from cameras based on the camera config
-            for name, camera in self.config.cameras.items():
-                retain_config = camera.save_clips.retain
-                # get distinct objects in database for this camera
-                distinct_labels = (Event.select(Event.label)
-                        .where(Event.camera == name)
-                        .distinct())
-
-                # loop over object types in db
-                for l in distinct_labels:
-                    # get expiration time for this label
-                    expire_days = retain_config.objects.get(l.label, retain_config.default)
-                    expire_after = (datetime.datetime.now() - datetime.timedelta(days=expire_days)).timestamp()
-                    # grab all events after specific time
-                    expired_events = (
-                        Event.select()
-                            .where(Event.camera == name, 
-                                Event.start_time < expire_after, 
-                                Event.label == l.label)
-                    )
-                    # delete the grabbed clips from disk
-                    for event in expired_events:
-                        clip_name = f"{event.camera}-{event.id}"
-                        clip = Path(f"{os.path.join(CLIPS_DIR, clip_name)}.mp4")
-                        clip.unlink(missing_ok=True)
-                    # delete the event for this type from the db
-                    delete_query = (
-                        Event.delete()
-                            .where( Event.camera == name, 
-                                Event.start_time < expire_after, 
-                                Event.label == l.label)
-                    )
-                    delete_query.execute()

frigate/http.py

@@ -1,246 +0,0 @@
-import base64
-import datetime
-import logging
-import os
-import time
-from functools import reduce
-
-import cv2
-import numpy as np
-from flask import (Blueprint, Flask, Response, current_app, jsonify,
-                   make_response, request)
-from peewee import SqliteDatabase, operator, fn, DoesNotExist
-from playhouse.shortcuts import model_to_dict
-
-from frigate.models import Event
-
-logger = logging.getLogger(__name__)
-
-bp = Blueprint('frigate', __name__)
-
-def create_app(frigate_config, database: SqliteDatabase, camera_metrics, detectors, detected_frames_processor):
-    app = Flask(__name__)
-
-    @app.before_request
-    def _db_connect():
-        database.connect()
-
-    @app.teardown_request
-    def _db_close(exc):
-        if not database.is_closed():
-            database.close()
-
-    app.frigate_config = frigate_config
-    app.camera_metrics = camera_metrics
-    app.detectors = detectors
-    app.detected_frames_processor = detected_frames_processor
-    
-    app.register_blueprint(bp)
-
-    return app
-
-@bp.route('/')
-def is_healthy():
-    return "Frigate is running. Alive and healthy!"
-
-@bp.route('/events/summary')
-def events_summary():
-    groups = (
-        Event
-            .select(
-                Event.camera, 
-                Event.label, 
-                fn.strftime('%Y-%m-%d', fn.datetime(Event.start_time, 'unixepoch', 'localtime')).alias('day'), 
-                Event.zones,
-                fn.COUNT(Event.id).alias('count')
-            )
-            .group_by(
-                Event.camera, 
-                Event.label, 
-                fn.strftime('%Y-%m-%d', fn.datetime(Event.start_time, 'unixepoch', 'localtime')),
-                Event.zones
-            )
-        )
-
-    return jsonify([e for e in groups.dicts()])
-
-@bp.route('/events/<id>')
-def event(id):
-    try:
-        return model_to_dict(Event.get(Event.id == id))
-    except DoesNotExist:
-        return "Event not found", 404
-
-@bp.route('/events/<id>/snapshot.jpg')
-def event_snapshot(id):
-    format = request.args.get('format', 'ios')
-    thumbnail_bytes = None
-    try:
-        event = Event.get(Event.id == id)
-        thumbnail_bytes = base64.b64decode(event.thumbnail)
-    except DoesNotExist:
-        # see if the object is currently being tracked
-        try:
-            for camera_state in current_app.detected_frames_processor.camera_states.values():
-                if id in camera_state.tracked_objects:
-                    tracked_obj = camera_state.tracked_objects.get(id)
-                    if not tracked_obj is None:
-                        thumbnail_bytes = tracked_obj.get_jpg_bytes()
-        except:
-            return "Event not found", 404
-    
-    if thumbnail_bytes is None:
-        return "Event not found", 404
-    
-    # android notifications prefer a 2:1 ratio
-    if format == 'android':
-        jpg_as_np = np.frombuffer(thumbnail_bytes, dtype=np.uint8)
-        img = cv2.imdecode(jpg_as_np, flags=1)
-        thumbnail = cv2.copyMakeBorder(img, 0, 0, int(img.shape[1]*0.5), int(img.shape[1]*0.5), cv2.BORDER_CONSTANT, (0,0,0))
-        ret, jpg = cv2.imencode('.jpg', thumbnail)    
-        thumbnail_bytes = jpg.tobytes()
-    
-    response = make_response(thumbnail_bytes)
-    response.headers['Content-Type'] = 'image/jpg'
-    return response
-
-@bp.route('/events')
-def events():
-    limit = request.args.get('limit', 100)
-    camera = request.args.get('camera')
-    label = request.args.get('label')
-    zone = request.args.get('zone')
-    after = request.args.get('after', type=int)
-    before = request.args.get('before', type=int)
-
-    clauses = []
-    
-    if camera:
-        clauses.append((Event.camera == camera))
-    
-    if label:
-        clauses.append((Event.label == label))
-    
-    if zone:
-        clauses.append((Event.zones.cast('text') % f"*\"{zone}\"*"))
-    
-    if after:
-        clauses.append((Event.start_time >= after))
-    
-    if before:
-        clauses.append((Event.start_time <= before))
-
-    if len(clauses) == 0:
-        clauses.append((1 == 1))
-
-    events =    (Event.select()
-                .where(reduce(operator.and_, clauses))
-                .order_by(Event.start_time.desc())
-                .limit(limit))
-
-    return jsonify([model_to_dict(e) for e in events])
-
-@bp.route('/config')
-def config():
-    return jsonify(current_app.frigate_config.to_dict())
-
-@bp.route('/stats')
-def stats():
-    camera_metrics = current_app.camera_metrics
-    stats = {}
-
-    total_detection_fps = 0
-
-    for name, camera_stats in camera_metrics.items():
-        total_detection_fps += camera_stats['detection_fps'].value
-        stats[name] = {
-            'camera_fps': round(camera_stats['camera_fps'].value, 2),
-            'process_fps': round(camera_stats['process_fps'].value, 2),
-            'skipped_fps': round(camera_stats['skipped_fps'].value, 2),
-            'detection_fps': round(camera_stats['detection_fps'].value, 2),
-            'pid': camera_stats['process'].pid,
-            'capture_pid': camera_stats['capture_process'].pid
-        }
-    
-    stats['detectors'] = {}
-    for name, detector in current_app.detectors.items():
-        stats['detectors'][name] = {
-            'inference_speed': round(detector.avg_inference_speed.value*1000, 2),
-            'detection_start': detector.detection_start.value,
-            'pid': detector.detect_process.pid
-        }
-    stats['detection_fps'] = round(total_detection_fps, 2)
-
-    return jsonify(stats)
-
-@bp.route('/<camera_name>/<label>/best.jpg')
-def best(camera_name, label):
-    if camera_name in current_app.frigate_config.cameras:
-        best_object = current_app.detected_frames_processor.get_best(camera_name, label)
-        best_frame = best_object.get('frame')
-        if best_frame is None:
-            best_frame = np.zeros((720,1280,3), np.uint8)
-        else:
-            best_frame = cv2.cvtColor(best_frame, cv2.COLOR_YUV2BGR_I420)
-        
-        crop = bool(request.args.get('crop', 0, type=int))
-        if crop:
-            region = best_object.get('region', [0,0,300,300])
-            best_frame = best_frame[region[1]:region[3], region[0]:region[2]]
-        
-        height = int(request.args.get('h', str(best_frame.shape[0])))
-        width = int(height*best_frame.shape[1]/best_frame.shape[0])
-
-        best_frame = cv2.resize(best_frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
-        ret, jpg = cv2.imencode('.jpg', best_frame)
-        response = make_response(jpg.tobytes())
-        response.headers['Content-Type'] = 'image/jpg'
-        return response
-    else:
-        return "Camera named {} not found".format(camera_name), 404
-
-@bp.route('/<camera_name>')
-def mjpeg_feed(camera_name):
-    fps = int(request.args.get('fps', '3'))
-    height = int(request.args.get('h', '360'))
-    if camera_name in current_app.frigate_config.cameras:
-        # return a multipart response
-        return Response(imagestream(current_app.detected_frames_processor, camera_name, fps, height),
-                        mimetype='multipart/x-mixed-replace; boundary=frame')
-    else:
-        return "Camera named {} not found".format(camera_name), 404
-
-@bp.route('/<camera_name>/latest.jpg')
-def latest_frame(camera_name):
-    if camera_name in current_app.frigate_config.cameras:
-        # max out at specified FPS
-        frame = current_app.detected_frames_processor.get_current_frame(camera_name)
-        if frame is None:
-            frame = np.zeros((720,1280,3), np.uint8)
-
-        height = int(request.args.get('h', str(frame.shape[0])))
-        width = int(height*frame.shape[1]/frame.shape[0])
-
-        frame = cv2.resize(frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
-
-        ret, jpg = cv2.imencode('.jpg', frame)
-        response = make_response(jpg.tobytes())
-        response.headers['Content-Type'] = 'image/jpg'
-        return response
-    else:
-        return "Camera named {} not found".format(camera_name), 404
-        
-def imagestream(detected_frames_processor, camera_name, fps, height):
-    while True:
-        # max out at specified FPS
-        time.sleep(1/fps)
-        frame = detected_frames_processor.get_current_frame(camera_name, draw=True)
-        if frame is None:
-            frame = np.zeros((height,int(height*16/9),3), np.uint8)
-
-        width = int(height*frame.shape[1]/frame.shape[0])
-        frame = cv2.resize(frame, dsize=(width, height), interpolation=cv2.INTER_LINEAR)
-
-        ret, jpg = cv2.imencode('.jpg', frame)
-        yield (b'--frame\r\n'
-            b'Content-Type: image/jpeg\r\n\r\n' + jpg.tobytes() + b'\r\n\r\n')

frigate/log.py

@@ -1,75 +0,0 @@
-# adapted from https://medium.com/@jonathonbao/python3-logging-with-multiprocessing-f51f460b8778
-import logging
-import threading
-import os
-import signal
-import queue
-import multiprocessing as mp
-from logging import handlers
-
-
-def listener_configurer():
-    root = logging.getLogger()
-    console_handler = logging.StreamHandler()
-    formatter = logging.Formatter('%(name)-30s %(levelname)-8s: %(message)s')
-    console_handler.setFormatter(formatter)
-    root.addHandler(console_handler)
-    root.setLevel(logging.INFO)
-
-def root_configurer(queue):
-    h = handlers.QueueHandler(queue)
-    root = logging.getLogger()
-    root.addHandler(h)
-    root.setLevel(logging.INFO)
-
-def log_process(log_queue):
-    stop_event = mp.Event()
-    def receiveSignal(signalNumber, frame):
-        stop_event.set()
-    
-    signal.signal(signal.SIGTERM, receiveSignal)
-    signal.signal(signal.SIGINT, receiveSignal)
-
-    threading.current_thread().name = f"logger"
-    listener_configurer()
-    while True:
-        if stop_event.is_set() and log_queue.empty():
-            break
-        try:
-            record = log_queue.get(timeout=5)
-        except queue.Empty:
-            continue
-        logger = logging.getLogger(record.name)
-        logger.handle(record)
-
-# based on https://codereview.stackexchange.com/a/17959
-class LogPipe(threading.Thread):
-    def __init__(self, log_name, level):
-        """Setup the object with a logger and a loglevel
-        and start the thread
-        """
-        threading.Thread.__init__(self)
-        self.daemon = False
-        self.logger = logging.getLogger(log_name)
-        self.level = level
-        self.fdRead, self.fdWrite = os.pipe()
-        self.pipeReader = os.fdopen(self.fdRead)
-        self.start()
-
-    def fileno(self):
-        """Return the write file descriptor of the pipe
-        """
-        return self.fdWrite
-
-    def run(self):
-        """Run the thread, logging everything.
-        """
-        for line in iter(self.pipeReader.readline, ''):
-            self.logger.log(self.level, line.strip('\n'))
-
-        self.pipeReader.close()
-
-    def close(self):
-        """Close the write end of the pipe.
-        """
-        os.close(self.fdWrite)

frigate/models.py

@@ -1,14 +0,0 @@
-from peewee import *
-from playhouse.sqlite_ext import *
-
-
-class Event(Model):
-    id = CharField(null=False, primary_key=True, max_length=30)
-    label = CharField(index=True, max_length=20)
-    camera = CharField(index=True, max_length=20)
-    start_time = DateTimeField()
-    end_time = DateTimeField()
-    top_score = FloatField()
-    false_positive = BooleanField()
-    zones = JSONField()
-    thumbnail = TextField()

frigate/motion.py

@@ -2,10 +2,8 @@ import cv2
 import imutils
 import numpy as np
 
-
 class MotionDetector():
     def __init__(self, frame_shape, mask, resize_factor=4):
-        self.frame_shape = frame_shape
         self.resize_factor = resize_factor
         self.motion_frame_size = (int(frame_shape[0]/resize_factor), int(frame_shape[1]/resize_factor))
         self.avg_frame = np.zeros(self.motion_frame_size, np.float)
@@ -18,16 +16,14 @@ class MotionDetector():
     def detect(self, frame):
         motion_boxes = []
 
-        gray = frame[0:self.frame_shape[0], 0:self.frame_shape[1]]
-
         # resize frame
-        resized_frame = cv2.resize(gray, dsize=(self.motion_frame_size[1], self.motion_frame_size[0]), interpolation=cv2.INTER_LINEAR)
+        resized_frame = cv2.resize(frame, dsize=(self.motion_frame_size[1], self.motion_frame_size[0]), interpolation=cv2.INTER_LINEAR)
 
         # convert to grayscale
-        # resized_frame = cv2.cvtColor(resized_frame, cv2.COLOR_BGR2GRAY)
+        gray = cv2.cvtColor(resized_frame, cv2.COLOR_BGR2GRAY)
 
         # mask frame
-        resized_frame[self.mask] = [255]
+        gray[self.mask] = [255]
 
         # it takes ~30 frames to establish a baseline
         # dont bother looking for motion
@@ -35,7 +31,7 @@ class MotionDetector():
             self.frame_counter += 1
         else:
             # compare to average
-            frameDelta = cv2.absdiff(resized_frame, cv2.convertScaleAbs(self.avg_frame))
+            frameDelta = cv2.absdiff(gray, cv2.convertScaleAbs(self.avg_frame))
 
             # compute the average delta over the past few frames
             # the alpha value can be modified to configure how sensitive the motion detection is.
@@ -49,7 +45,7 @@ class MotionDetector():
 
             # black out everything in the avg_delta where there isnt motion in the current frame
             avg_delta_image = cv2.convertScaleAbs(self.avg_delta)
-            avg_delta_image = cv2.bitwise_and(avg_delta_image, current_thresh)
+            avg_delta_image[np.where(current_thresh==[0])] = [0]
 
             # then look for deltas above the threshold, but only in areas where there is a delta
             # in the current frame. this prevents deltas from previous frames from being included
@@ -74,10 +70,10 @@ class MotionDetector():
             # TODO: this really depends on FPS
             if self.motion_frame_count >= 10:
                 # only average in the current frame if the difference persists for at least 3 frames
-                cv2.accumulateWeighted(resized_frame, self.avg_frame, 0.2)
+                cv2.accumulateWeighted(gray, self.avg_frame, 0.2)
         else:
             # when no motion, just keep averaging the frames together
-            cv2.accumulateWeighted(resized_frame, self.avg_frame, 0.2)
+            cv2.accumulateWeighted(gray, self.avg_frame, 0.2)
             self.motion_frame_count = 0
 
         return motion_boxes

frigate/mqtt.py

@@ -1,36 +0,0 @@
-import logging
-import threading
-
-import paho.mqtt.client as mqtt
-
-from frigate.config import MqttConfig
-
-logger = logging.getLogger(__name__)
-
-def create_mqtt_client(config: MqttConfig):
-    client = mqtt.Client(client_id=config.client_id)
-    def on_connect(client, userdata, flags, rc):
-        threading.current_thread().name = "mqtt"
-        if rc != 0:
-            if rc == 3:
-                logger.error("MQTT Server unavailable")
-            elif rc == 4:
-                logger.error("MQTT Bad username or password")
-            elif rc == 5:
-                logger.error("MQTT Not authorized")
-            else:
-                logger.error("Unable to connect to MQTT: Connection refused. Error code: " + str(rc))
-            
-        logger.info("MQTT connected")
-        client.publish(config.topic_prefix+'/available', 'online', retain=True)       
-    client.on_connect = on_connect
-    client.will_set(config.topic_prefix+'/available', payload='offline', qos=1, retain=True)
-    if not config.user is None:
-        client.username_pw_set(config.user, password=config.password)
-    try:
-        client.connect(config.host, config.port, 60)
-    except Exception as e:
-        logger.error(f"Unable to connect to MQTT server: {e}")
-        raise
-    client.loop_start()
-    return client

frigate/object_processing.py

@@ -1,28 +1,17 @@
-import copy
-import base64
-import datetime
-import hashlib
-import itertools
 import json
-import logging
-import os
-import queue
-import threading
+import hashlib
+import datetime
 import time
-from collections import Counter, defaultdict
-from statistics import mean, median
-from typing import Callable, Dict
-
+import copy
 import cv2
-import matplotlib.pyplot as plt
+import threading
 import numpy as np
-
-from frigate.config import FrigateConfig, CameraConfig
-from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
+from collections import Counter, defaultdict
+import itertools
+import pyarrow.plasma as plasma
+import matplotlib.pyplot as plt
+from frigate.util import draw_box_with_label, PlasmaManager
 from frigate.edgetpu import load_labels
-from frigate.util import SharedMemoryFrameManager, draw_box_with_label
-
-logger = logging.getLogger(__name__)
 
 PATH_TO_LABELS = '/labelmap.txt'
 
@@ -33,470 +22,125 @@ COLOR_MAP = {}
 for key, val in LABELS.items():
     COLOR_MAP[val] = tuple(int(round(255 * c)) for c in cmap(key)[:3])
 
-def on_edge(box, frame_shape):
-    if (
-        box[0] == 0 or
-        box[1] == 0 or
-        box[2] == frame_shape[1]-1 or
-        box[3] == frame_shape[0]-1
-    ):
-        return True
-
-def is_better_thumbnail(current_thumb, new_obj, frame_shape) -> bool:
-    # larger is better
-    # cutoff images are less ideal, but they should also be smaller?
-    # better scores are obviously better too
-
-    # if the new_thumb is on an edge, and the current thumb is not
-    if on_edge(new_obj['box'], frame_shape) and not on_edge(current_thumb['box'], frame_shape):
-        return False
-
-    # if the score is better by more than 5%
-    if new_obj['score'] > current_thumb['score']+.05:
-        return True
-    
-    # if the area is 10% larger
-    if new_obj['area'] > current_thumb['area']*1.1:
-        return True
-    
-    return False
-
-class TrackedObject():
-    def __init__(self, camera, camera_config: CameraConfig, frame_cache, obj_data):
-        self.obj_data = obj_data
-        self.camera = camera
-        self.camera_config = camera_config
-        self.frame_cache = frame_cache
-        self.current_zones = []
-        self.entered_zones = set()
-        self.false_positive = True
-        self.top_score = self.computed_score = 0.0
-        self.thumbnail_data = None
-        self.frame = None
-        self.previous = None
-        self._snapshot_jpg_time = 0
-        ret, jpg = cv2.imencode('.jpg', np.zeros((300,300,3), np.uint8))
-        self._snapshot_jpg = jpg.tobytes()
-
-        # start the score history
-        self.score_history = [self.obj_data['score']]
-
-    def _is_false_positive(self):
-        # once a true positive, always a true positive
-        if not self.false_positive:
-            return False
-
-        threshold = self.camera_config.objects.filters[self.obj_data['label']].threshold
-        if self.computed_score < threshold:
-            return True
-        return False
-
-    def compute_score(self):
-        scores = self.score_history[:]
-        # pad with zeros if you dont have at least 3 scores
-        if len(scores) < 3:
-            scores += [0.0]*(3 - len(scores))
-        return median(scores)
-    
-    def update(self, current_frame_time, obj_data):
-        previous = self.to_dict()
-        self.obj_data.update(obj_data)
-        # if the object is not in the current frame, add a 0.0 to the score history
-        if self.obj_data['frame_time'] != current_frame_time:
-            self.score_history.append(0.0)
-        else:
-            self.score_history.append(self.obj_data['score'])
-        # only keep the last 10 scores
-        if len(self.score_history) > 10:
-            self.score_history = self.score_history[-10:]
-
-        # calculate if this is a false positive
-        self.computed_score = self.compute_score()
-        if self.computed_score > self.top_score:
-            self.top_score = self.computed_score
-        self.false_positive = self._is_false_positive()
-
-        if not self.false_positive:
-            # determine if this frame is a better thumbnail
-            if (
-                self.thumbnail_data is None 
-                or is_better_thumbnail(self.thumbnail_data, self.obj_data, self.camera_config.frame_shape)
-            ):
-                self.thumbnail_data = {
-                    'frame_time': self.obj_data['frame_time'],
-                    'box': self.obj_data['box'],
-                    'area': self.obj_data['area'],
-                    'region': self.obj_data['region'],
-                    'score': self.obj_data['score']
-                }
-                self.previous = previous
-        
-        # check zones
-        current_zones = []
-        bottom_center = (self.obj_data['centroid'][0], self.obj_data['box'][3])
-        # check each zone
-        for name, zone in self.camera_config.zones.items():
-            contour = zone.contour
-            # check if the object is in the zone
-            if (cv2.pointPolygonTest(contour, bottom_center, False) >= 0):
-                # if the object passed the filters once, dont apply again
-                if name in self.current_zones or not zone_filtered(self, zone.filters):
-                    current_zones.append(name)
-                    self.entered_zones.add(name)
-                
-        self.current_zones = current_zones
-    
-    def to_dict(self, include_thumbnail: bool = False):
-        return {
-            'id': self.obj_data['id'],
-            'camera': self.camera,
-            'frame_time': self.obj_data['frame_time'],
-            'label': self.obj_data['label'],
-            'top_score': self.top_score,
-            'false_positive': self.false_positive,
-            'start_time': self.obj_data['start_time'],
-            'end_time': self.obj_data.get('end_time', None),
-            'score': self.obj_data['score'],
-            'box': self.obj_data['box'],
-            'area': self.obj_data['area'],
-            'region': self.obj_data['region'],
-            'current_zones': self.current_zones.copy(),
-            'entered_zones': list(self.entered_zones).copy(),
-            'thumbnail': base64.b64encode(self.get_jpg_bytes()).decode('utf-8') if include_thumbnail else None
-        }
-    
-    def get_jpg_bytes(self):
-        if self.thumbnail_data is None or self._snapshot_jpg_time == self.thumbnail_data['frame_time']:
-            return self._snapshot_jpg
-        
-        if not self.thumbnail_data['frame_time'] in self.frame_cache:
-            logger.error(f"Unable to create thumbnail for {self.obj_data['id']}")
-            logger.error(f"Looking for frame_time of {self.thumbnail_data['frame_time']}")
-            logger.error(f"Thumbnail frames: {','.join([str(k) for k in self.frame_cache.keys()])}")
-            return self._snapshot_jpg
-
-        # TODO: crop first to avoid converting the entire frame?
-        snapshot_config = self.camera_config.snapshots
-        best_frame = cv2.cvtColor(self.frame_cache[self.thumbnail_data['frame_time']], cv2.COLOR_YUV2BGR_I420)
-
-        if snapshot_config.draw_bounding_boxes:
-            thickness = 2
-            color = COLOR_MAP[self.obj_data['label']]
-            box = self.thumbnail_data['box']
-            draw_box_with_label(best_frame, box[0], box[1], box[2], box[3], self.obj_data['label'], 
-                f"{int(self.thumbnail_data['score']*100)}% {int(self.thumbnail_data['area'])}", thickness=thickness, color=color)
-            
-        if snapshot_config.crop_to_region:
-            region = self.thumbnail_data['region']
-            best_frame = best_frame[region[1]:region[3], region[0]:region[2]]
-
-        if snapshot_config.height: 
-            height = snapshot_config.height
-            width = int(height*best_frame.shape[1]/best_frame.shape[0])
-            best_frame = cv2.resize(best_frame, dsize=(width, height), interpolation=cv2.INTER_AREA)
-        
-        if snapshot_config.show_timestamp:
-            time_to_show = datetime.datetime.fromtimestamp(self.thumbnail_data['frame_time']).strftime("%m/%d/%Y %H:%M:%S")
-            size = cv2.getTextSize(time_to_show, cv2.FONT_HERSHEY_SIMPLEX, fontScale=1, thickness=2)
-            text_width = size[0][0]
-            desired_size = max(150, 0.33*best_frame.shape[1])
-            font_scale = desired_size/text_width
-            cv2.putText(best_frame, time_to_show, (5, best_frame.shape[0]-7), cv2.FONT_HERSHEY_SIMPLEX, 
-                fontScale=font_scale, color=(255, 255, 255), thickness=2)
-
-        ret, jpg = cv2.imencode('.jpg', best_frame)
-        if ret:
-            self._snapshot_jpg = jpg.tobytes()
-        
-        return self._snapshot_jpg
-
-def zone_filtered(obj: TrackedObject, object_config):
-    object_name = obj.obj_data['label']
-
-    if object_name in object_config:
-        obj_settings = object_config[object_name]
-
-        # if the min area is larger than the
-        # detected object, don't add it to detected objects
-        if obj_settings.min_area > obj.obj_data['area']:
-            return True
-        
-        # if the detected object is larger than the
-        # max area, don't add it to detected objects
-        if obj_settings.max_area < obj.obj_data['area']:
-            return True
-
-        # if the score is lower than the threshold, skip
-        if obj_settings.threshold > obj.computed_score:
-            return True
-        
-    return False
-
-# Maintains the state of a camera
-class CameraState():
-    def __init__(self, name, config, frame_manager):
-        self.name = name
-        self.config = config
-        self.camera_config = config.cameras[name]
-        self.frame_manager = frame_manager
-        self.best_objects: Dict[str, TrackedObject] = {}
-        self.object_counts = defaultdict(lambda: 0)
-        self.tracked_objects: Dict[str, TrackedObject] = {}
-        self.frame_cache = {}
-        self.zone_objects = defaultdict(lambda: [])
-        self._current_frame = np.zeros(self.camera_config.frame_shape_yuv, np.uint8)
-        self.current_frame_lock = threading.Lock()
-        self.current_frame_time = 0.0
-        self.previous_frame_id = None
-        self.callbacks = defaultdict(lambda: [])
-
-    def get_current_frame(self, draw=False):
-        with self.current_frame_lock:
-            frame_copy = np.copy(self._current_frame)
-            frame_time = self.current_frame_time
-            tracked_objects = {k: v.to_dict() for k,v in self.tracked_objects.items()}
-        
-        frame_copy = cv2.cvtColor(frame_copy, cv2.COLOR_YUV2BGR_I420)
-        # draw on the frame
-        if draw:
-            # draw the bounding boxes on the frame
-            for obj in tracked_objects.values():
-                thickness = 2
-                color = COLOR_MAP[obj['label']]
-                
-                if obj['frame_time'] != frame_time:
-                    thickness = 1
-                    color = (255,0,0)
-
-                # draw the bounding boxes on the frame
-                box = obj['box']
-                draw_box_with_label(frame_copy, box[0], box[1], box[2], box[3], obj['label'], f"{int(obj['score']*100)}% {int(obj['area'])}", thickness=thickness, color=color)
-                # draw the regions on the frame
-                region = obj['region']
-                cv2.rectangle(frame_copy, (region[0], region[1]), (region[2], region[3]), (0,255,0), 1)
-            
-            if self.camera_config.snapshots.show_timestamp:
-                time_to_show = datetime.datetime.fromtimestamp(frame_time).strftime("%m/%d/%Y %H:%M:%S")
-                cv2.putText(frame_copy, time_to_show, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.8, color=(255, 255, 255), thickness=2)
-
-            if self.camera_config.snapshots.draw_zones:
-                for name, zone in self.camera_config.zones.items():
-                    thickness = 8 if any([name in obj['current_zones'] for obj in tracked_objects.values()]) else 2
-                    cv2.drawContours(frame_copy, [zone.contour], -1, zone.color, thickness)
-        
-        return frame_copy
-
-    def finished(self, obj_id):
-        del self.tracked_objects[obj_id]
-
-    def on(self, event_type: str, callback: Callable[[Dict], None]):
-        self.callbacks[event_type].append(callback)
-
-    def update(self, frame_time, current_detections):
-        self.current_frame_time = frame_time
-        # get the new frame
-        frame_id = f"{self.name}{frame_time}"
-        current_frame = self.frame_manager.get(frame_id, self.camera_config.frame_shape_yuv)
-
-        current_ids = current_detections.keys()
-        previous_ids = self.tracked_objects.keys()
-        removed_ids = list(set(previous_ids).difference(current_ids))
-        new_ids = list(set(current_ids).difference(previous_ids))
-        updated_ids = list(set(current_ids).intersection(previous_ids))
-
-        for id in new_ids:
-            new_obj = self.tracked_objects[id] = TrackedObject(self.name, self.camera_config, self.frame_cache, current_detections[id])
-
-            # call event handlers
-            for c in self.callbacks['start']:
-                c(self.name, new_obj, frame_time)
-        
-        for id in updated_ids:
-            updated_obj = self.tracked_objects[id]
-            updated_obj.update(frame_time, current_detections[id])
-
-            if (not updated_obj.false_positive 
-                and updated_obj.thumbnail_data['frame_time'] == frame_time 
-                and frame_time not in self.frame_cache):
-                self.frame_cache[frame_time] = np.copy(current_frame)
-
-            # call event handlers
-            for c in self.callbacks['update']:
-                c(self.name, updated_obj, frame_time)
-        
-        for id in removed_ids:
-            # publish events to mqtt
-            removed_obj = self.tracked_objects[id]
-            if not 'end_time' in removed_obj.obj_data:
-                removed_obj.obj_data['end_time'] = frame_time
-                for c in self.callbacks['end']:
-                    c(self.name, removed_obj, frame_time)
-
-        # TODO: can i switch to looking this up and only changing when an event ends?
-        # maintain best objects
-        for obj in self.tracked_objects.values():
-            object_type = obj.obj_data['label']
-            # if the object's thumbnail is not from the current frame
-            if obj.false_positive or obj.thumbnail_data['frame_time'] != self.current_frame_time:
-                continue
-            if object_type in self.best_objects:
-                current_best = self.best_objects[object_type]
-                now = datetime.datetime.now().timestamp()
-                # if the object is a higher score than the current best score 
-                # or the current object is older than desired, use the new object
-                if (is_better_thumbnail(current_best.thumbnail_data, obj.thumbnail_data, self.camera_config.frame_shape) 
-                    or (now - current_best.thumbnail_data['frame_time']) > self.camera_config.best_image_timeout):
-                    self.best_objects[object_type] = obj
-                    for c in self.callbacks['snapshot']:
-                        c(self.name, self.best_objects[object_type], frame_time)
-            else:
-                self.best_objects[object_type] = obj
-                for c in self.callbacks['snapshot']:
-                    c(self.name, self.best_objects[object_type], frame_time)
-        
-        # update overall camera state for each object type
-        obj_counter = Counter()
-        for obj in self.tracked_objects.values():
-            if not obj.false_positive:
-                obj_counter[obj.obj_data['label']] += 1
-                
-        # report on detected objects
-        for obj_name, count in obj_counter.items():
-            if count != self.object_counts[obj_name]:
-                self.object_counts[obj_name] = count
-                for c in self.callbacks['object_status']:
-                    c(self.name, obj_name, count)
-
-        # expire any objects that are >0 and no longer detected
-        expired_objects = [obj_name for obj_name, count in self.object_counts.items() if count > 0 and not obj_name in obj_counter]
-        for obj_name in expired_objects:
-            self.object_counts[obj_name] = 0
-            for c in self.callbacks['object_status']:
-                c(self.name, obj_name, 0)
-            for c in self.callbacks['snapshot']:
-                c(self.name, self.best_objects[obj_name], frame_time)
-        
-        # cleanup thumbnail frame cache
-        current_thumb_frames = set([obj.thumbnail_data['frame_time'] for obj in self.tracked_objects.values() if not obj.false_positive])
-        current_best_frames = set([obj.thumbnail_data['frame_time'] for obj in self.best_objects.values()])
-        thumb_frames_to_delete = [t for t in self.frame_cache.keys() if not t in current_thumb_frames and not t in current_best_frames]
-        for t in thumb_frames_to_delete:
-            del self.frame_cache[t]
-        
-        with self.current_frame_lock:
-            self._current_frame = current_frame
-            if not self.previous_frame_id is None:
-                self.frame_manager.delete(self.previous_frame_id)
-            self.previous_frame_id = frame_id
-
 class TrackedObjectProcessor(threading.Thread):
-    def __init__(self, config: FrigateConfig, client, topic_prefix, tracked_objects_queue, event_queue, event_processed_queue, stop_event):
+    def __init__(self, config, client, topic_prefix, tracked_objects_queue):
         threading.Thread.__init__(self)
-        self.name = "detected_frames_processor"
         self.config = config
         self.client = client
         self.topic_prefix = topic_prefix
         self.tracked_objects_queue = tracked_objects_queue
-        self.event_queue = event_queue
-        self.event_processed_queue = event_processed_queue
-        self.stop_event = stop_event
-        self.camera_states: Dict[str, CameraState] = {}
-        self.frame_manager = SharedMemoryFrameManager()
-
-        def start(camera, obj: TrackedObject, current_frame_time):
-            self.event_queue.put(('start', camera, obj.to_dict()))
-
-        def update(camera, obj: TrackedObject, current_frame_time):
-            if not obj.thumbnail_data is None and obj.thumbnail_data['frame_time'] == current_frame_time:
-                message = { 'before': obj.previous, 'after': obj.to_dict() }
-                self.client.publish(f"{self.topic_prefix}/events", json.dumps(message), retain=False)
-
-        def end(camera, obj: TrackedObject, current_frame_time):
-            if not obj.false_positive:
-                message = { 'before': obj.previous, 'after': obj.to_dict() }
-                self.client.publish(f"{self.topic_prefix}/events", json.dumps(message), retain=False)
-            self.event_queue.put(('end', camera, obj.to_dict(include_thumbnail=True)))
-        
-        def snapshot(camera, obj: TrackedObject, current_frame_time):
-            self.client.publish(f"{self.topic_prefix}/{camera}/{obj.obj_data['label']}/snapshot", obj.get_jpg_bytes(), retain=True)
-        
-        def object_status(camera, object_name, status):
-            self.client.publish(f"{self.topic_prefix}/{camera}/{object_name}", status, retain=False)
-
-        for camera in self.config.cameras.keys():
-            camera_state = CameraState(camera, self.config, self.frame_manager)
-            camera_state.on('start', start)
-            camera_state.on('update', update)
-            camera_state.on('end', end)
-            camera_state.on('snapshot', snapshot)
-            camera_state.on('object_status', object_status)
-            self.camera_states[camera] = camera_state
-
-        # {
-        #   'zone_name': {
-        #       'person': {
-        #           'camera_1': 2,
-        #           'camera_2': 1
-        #       }
-        #   }
-        # }
-        self.zone_data = defaultdict(lambda: defaultdict(lambda: {}))
+        self.camera_data = defaultdict(lambda: {
+            'best_objects': {},
+            'object_status': defaultdict(lambda: defaultdict(lambda: 'OFF')),
+            'tracked_objects': {},
+            'current_frame': np.zeros((720,1280,3), np.uint8),
+            'object_id': None
+        })
+        self.plasma_client = PlasmaManager()
         
     def get_best(self, camera, label):
-        # TODO: need a lock here
-        camera_state = self.camera_states[camera]
-        if label in camera_state.best_objects:
-            best_obj = camera_state.best_objects[label]
-            best = best_obj.to_dict()
-            best['frame'] = camera_state.frame_cache[best_obj.thumbnail_data['frame_time']]
-            return best
+        if label in self.camera_data[camera]['best_objects']:
+            return self.camera_data[camera]['best_objects'][label]['frame']
         else:
-            return {}
+            return None
     
-    def get_current_frame(self, camera, draw=False):
-        return self.camera_states[camera].get_current_frame(draw)
+    def get_current_frame(self, camera):
+        return self.camera_data[camera]['current_frame']
 
     def run(self):
         while True:
-            if self.stop_event.is_set():
-                logger.info(f"Exiting object processor...")
-                break
+            camera, frame_time, tracked_objects = self.tracked_objects_queue.get()
 
-            try:
-                camera, frame_time, current_tracked_objects = self.tracked_objects_queue.get(True, 10)
-            except queue.Empty:
-                continue
+            config = self.config[camera]
+            best_objects = self.camera_data[camera]['best_objects']
+            current_object_status = self.camera_data[camera]['object_status']
+            self.camera_data[camera]['tracked_objects'] = tracked_objects
 
-            camera_state = self.camera_states[camera]
+            ###
+            # Draw tracked objects on the frame
+            ###
+            current_frame = self.plasma_client.get(f"{camera}{frame_time}")
 
-            camera_state.update(frame_time, current_tracked_objects)
+            if not current_frame is plasma.ObjectNotAvailable:
+                # draw the bounding boxes on the frame
+                for obj in tracked_objects.values():
+                    thickness = 2
+                    color = COLOR_MAP[obj['label']]
                     
-            # update zone counts for each label
-            # for each zone in the current camera
-            for zone in self.config.cameras[camera].zones.keys():
-                # count labels for the camera in the zone
-                obj_counter = Counter()
-                for obj in camera_state.tracked_objects.values():
-                    if zone in obj.current_zones and not obj.false_positive:
-                        obj_counter[obj.obj_data['label']] += 1
+                    if obj['frame_time'] != frame_time:
+                        thickness = 1
+                        color = (255,0,0)
 
-                # update counts and publish status
-                for label in set(list(self.zone_data[zone].keys()) + list(obj_counter.keys())):
-                    # if we have previously published a count for this zone/label
-                    zone_label = self.zone_data[zone][label]
-                    if camera in zone_label:
-                        current_count = sum(zone_label.values())
-                        zone_label[camera] = obj_counter[label] if label in obj_counter else 0
-                        new_count = sum(zone_label.values())
-                        if new_count != current_count:
-                            self.client.publish(f"{self.topic_prefix}/{zone}/{label}", new_count, retain=False)
-                    # if this is a new zone/label combo for this camera
-                    else:
-                        if label in obj_counter:
-                            zone_label[camera] = obj_counter[label]
-                            self.client.publish(f"{self.topic_prefix}/{zone}/{label}", obj_counter[label], retain=False)
+                    # draw the bounding boxes on the frame
+                    box = obj['box']
+                    draw_box_with_label(current_frame, box[0], box[1], box[2], box[3], obj['label'], f"{int(obj['score']*100)}% {int(obj['area'])}", thickness=thickness, color=color)
+                    # draw the regions on the frame
+                    region = obj['region']
+                    cv2.rectangle(current_frame, (region[0], region[1]), (region[2], region[3]), (0,255,0), 1)
                 
-            # cleanup event finished queue
-            while not self.event_processed_queue.empty():
-                event_id, camera = self.event_processed_queue.get()
-                self.camera_states[camera].finished(event_id)
+                if config['snapshots']['show_timestamp']:
+                    time_to_show = datetime.datetime.fromtimestamp(frame_time).strftime("%m/%d/%Y %H:%M:%S")
+                    cv2.putText(current_frame, time_to_show, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, fontScale=.8, color=(255, 255, 255), thickness=2)
+
+                ###
+                # Set the current frame as ready
+                ###
+                self.camera_data[camera]['current_frame'] = current_frame
+
+                # store the object id, so you can delete it at the next loop
+                previous_object_id = f"{camera}{frame_time}"
+                if not previous_object_id is None:
+                    self.plasma_client.delete(f"{camera}{frame_time}")
+                self.camera_data[camera]['object_id'] = f"{camera}{frame_time}"
+            
+            ###
+            # Maintain the highest scoring recent object and frame for each label
+            ###
+            for obj in tracked_objects.values():
+                # if the object wasn't seen on the current frame, skip it
+                if obj['frame_time'] != frame_time:
+                    continue
+                if obj['label'] in best_objects:
+                    now = datetime.datetime.now().timestamp()
+                    # if the object is a higher score than the current best score 
+                    # or the current object is more than 1 minute old, use the new object
+                    if obj['score'] > best_objects[obj['label']]['score'] or (now - best_objects[obj['label']]['frame_time']) > 60:
+                        obj['frame'] = np.copy(self.camera_data[camera]['current_frame'])
+                        best_objects[obj['label']] = obj
+                else:
+                    obj['frame'] = np.copy(self.camera_data[camera]['current_frame'])
+                    best_objects[obj['label']] = obj
+
+            ###
+            # Report over MQTT
+            ###
+            # count objects with more than 2 entries in history by type
+            obj_counter = Counter()
+            for obj in tracked_objects.values():
+                if len(obj['history']) > 1:
+                    obj_counter[obj['label']] += 1
+                    
+            # report on detected objects
+            for obj_name, count in obj_counter.items():
+                new_status = 'ON' if count > 0 else 'OFF'
+                if new_status != current_object_status[obj_name]:
+                    current_object_status[obj_name] = new_status
+                    self.client.publish(f"{self.topic_prefix}/{camera}/{obj_name}", new_status, retain=False)
+                    # send the best snapshot over mqtt
+                    best_frame = cv2.cvtColor(best_objects[obj_name]['frame'], cv2.COLOR_RGB2BGR)
+                    ret, jpg = cv2.imencode('.jpg', best_frame)
+                    if ret:
+                        jpg_bytes = jpg.tobytes()
+                        self.client.publish(f"{self.topic_prefix}/{camera}/{obj_name}/snapshot", jpg_bytes, retain=True)
+
+            # expire any objects that are ON and no longer detected
+            expired_objects = [obj_name for obj_name, status in current_object_status.items() if status == 'ON' and not obj_name in obj_counter]
+            for obj_name in expired_objects:
+                current_object_status[obj_name] = 'OFF'
+                self.client.publish(f"{self.topic_prefix}/{camera}/{obj_name}", 'OFF', retain=False)
+                # send updated snapshot over mqtt
+                best_frame = cv2.cvtColor(best_objects[obj_name]['frame'], cv2.COLOR_RGB2BGR)
+                ret, jpg = cv2.imencode('.jpg', best_frame)
+                if ret:
+                    jpg_bytes = jpg.tobytes()
+                    self.client.publish(f"{self.topic_prefix}/{camera}/{obj_name}/snapshot", jpg_bytes, retain=True)

frigate/objects.py

@@ -1,19 +1,14 @@
-import copy
-import datetime
-import itertools
-import multiprocessing as mp
-import random
-import string
-import threading
 import time
-from collections import defaultdict
-
+import datetime
+import threading
 import cv2
+import itertools
+import copy
 import numpy as np
+import multiprocessing as mp
+from collections import defaultdict
 from scipy.spatial import distance as dist
-
-from frigate.util import calculate_region, draw_box_with_label
-
+from frigate.util import draw_box_with_label, calculate_region
 
 class ObjectTracker():
     def __init__(self, max_disappeared):
@@ -22,10 +17,10 @@ class ObjectTracker():
         self.max_disappeared = max_disappeared
 
     def register(self, index, obj):
-        rand_id = ''.join(random.choices(string.ascii_lowercase + string.digits, k=6))
-        id = f"{obj['frame_time']}-{rand_id}"
+        id = f"{obj['frame_time']}-{index}"
         obj['id'] = id
-        obj['start_time'] = obj['frame_time']
+        obj['top_score'] = obj['score']
+        self.add_history(obj)
         self.tracked_objects[id] = obj
         self.disappeared[id] = 0
 
@@ -36,6 +31,22 @@ class ObjectTracker():
     def update(self, id, new_obj):
         self.disappeared[id] = 0
         self.tracked_objects[id].update(new_obj)
+        self.add_history(self.tracked_objects[id])
+        if self.tracked_objects[id]['score'] > self.tracked_objects[id]['top_score']:
+            self.tracked_objects[id]['top_score'] = self.tracked_objects[id]['score']
+    
+    def add_history(self, obj):
+        entry = {
+            'score': obj['score'],
+            'box': obj['box'],
+            'region': obj['region'],
+            'centroid': obj['centroid'],
+            'frame_time': obj['frame_time']
+        }
+        if 'history' in obj:
+            obj['history'].append(entry)
+        else:
+            obj['history'] = [entry]
 
     def match_and_update(self, frame_time, new_objects):
         # group by name

frigate/record.py

@@ -1,125 +0,0 @@
-import datetime
-import json
-import logging
-import os
-import queue
-import subprocess as sp
-import threading
-import time
-from collections import defaultdict
-from pathlib import Path
-
-import psutil
-
-from frigate.config import FrigateConfig
-from frigate.const import RECORD_DIR, CLIPS_DIR, CACHE_DIR
-
-logger = logging.getLogger(__name__)
-
-SECONDS_IN_DAY = 60 * 60 * 24
-
-def remove_empty_directories(directory):
-  # list all directories recursively and sort them by path,
-  # longest first
-  paths = sorted(
-      [x[0] for x in os.walk(RECORD_DIR)],
-      key=lambda p: len(str(p)),
-      reverse=True,
-  )
-  for path in paths:
-      # don't delete the parent
-      if path == RECORD_DIR:
-          continue
-      if len(os.listdir(path)) == 0:
-          os.rmdir(path)
-
-class RecordingMaintainer(threading.Thread):
-    def __init__(self, config: FrigateConfig, stop_event):
-        threading.Thread.__init__(self)
-        self.name = 'recording_maint'
-        self.config = config
-        self.stop_event = stop_event
-
-    def move_files(self):
-        recordings = [d for d in os.listdir(RECORD_DIR) if os.path.isfile(os.path.join(RECORD_DIR, d)) and d.endswith(".mp4")]
-
-        files_in_use = []
-        for process in psutil.process_iter():
-            if process.name() != 'ffmpeg':
-                continue
-            try:
-                flist = process.open_files()
-                if flist:
-                    for nt in flist:
-                        if nt.path.startswith(RECORD_DIR):
-                            files_in_use.append(nt.path.split('/')[-1])
-            except:
-                continue
-
-        for f in recordings:
-            if f in files_in_use:
-                continue
-
-            camera = '-'.join(f.split('-')[:-1])
-            start_time = datetime.datetime.strptime(f.split('-')[-1].split('.')[0], '%Y%m%d%H%M%S')
-        
-            ffprobe_cmd = " ".join([
-                'ffprobe',
-                '-v',
-                'error',
-                '-show_entries',
-                'format=duration',
-                '-of',
-                'default=noprint_wrappers=1:nokey=1',
-                f"{os.path.join(RECORD_DIR,f)}"
-            ])
-            p = sp.Popen(ffprobe_cmd, stdout=sp.PIPE, shell=True)
-            (output, err) = p.communicate()
-            p_status = p.wait()
-            if p_status == 0:
-                duration = float(output.decode('utf-8').strip())
-            else:
-                logger.info(f"bad file: {f}")
-                os.remove(os.path.join(RECORD_DIR,f))
-                continue
-
-            directory = os.path.join(RECORD_DIR, start_time.strftime('%Y-%m/%d/%H'), camera)
-
-            if not os.path.exists(directory):
-                os.makedirs(directory)
-
-            file_name = f"{start_time.strftime('%M.%S.mp4')}"
-
-            os.rename(os.path.join(RECORD_DIR,f), os.path.join(directory,file_name))
-
-    def expire_files(self):
-        delete_before = {}
-        for name, camera in self.config.cameras.items():
-            delete_before[name] = datetime.datetime.now().timestamp() - SECONDS_IN_DAY*camera.record.retain_days
-
-        for p in Path('/media/frigate/recordings').rglob("*.mp4"):
-            if not p.parent in delete_before:
-                continue
-            if p.stat().st_mtime < delete_before[p.parent]:
-                p.unlink(missing_ok=True)
-
-    def run(self):
-        counter = 0
-        self.expire_files()
-        while(True):
-            if self.stop_event.is_set():
-                logger.info(f"Exiting recording maintenance...")
-                break
-
-            # only expire events every 10 minutes, but check for new files every 10 seconds
-            time.sleep(10)
-            counter = counter + 1
-            if counter > 60:
-                self.expire_files()
-                remove_empty_directories(RECORD_DIR)
-                counter = 0
-
-            self.move_files()
-
-
-   

frigate/test/test_config.py

@@ -1,319 +0,0 @@
-import json
-from unittest import TestCase, main
-import voluptuous as vol
-from frigate.config import FRIGATE_CONFIG_SCHEMA, FrigateConfig
-
-class TestConfig(TestCase):
-    def setUp(self):
-        self.minimal = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-    def test_empty(self):
-        FRIGATE_CONFIG_SCHEMA({})
-
-    def test_minimal(self):
-        FRIGATE_CONFIG_SCHEMA(self.minimal)
-    
-    def test_config_class(self):
-        FrigateConfig(config=self.minimal)
-    
-    def test_inherit_tracked_objects(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'objects': {
-                'track': ['person', 'dog']
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert('dog' in frigate_config.cameras['back'].objects.track)
-    
-    def test_override_tracked_objects(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'objects': {
-                'track': ['person', 'dog']
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920,
-                    'objects': {
-                        'track': ['cat']
-                    }
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert('cat' in frigate_config.cameras['back'].objects.track)
-    
-    def test_default_object_filters(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'objects': {
-                'track': ['person', 'dog']
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert('dog' in frigate_config.cameras['back'].objects.filters)
-    
-    def test_inherit_object_filters(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'objects': {
-                'track': ['person', 'dog'],
-                'filters': {
-                    'dog': {
-                        'threshold': 0.7
-                    }
-                }
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert('dog' in frigate_config.cameras['back'].objects.filters)
-        assert(frigate_config.cameras['back'].objects.filters['dog'].threshold == 0.7)
-    
-    def test_override_object_filters(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920,
-                    'objects': {
-                        'track': ['person', 'dog'],
-                        'filters': {
-                            'dog': {
-                                'threshold': 0.7
-                            }
-                        }
-                    }
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert('dog' in frigate_config.cameras['back'].objects.filters)
-        assert(frigate_config.cameras['back'].objects.filters['dog'].threshold == 0.7)
-    
-    def test_ffmpeg_params(self):
-        config = {
-            'ffmpeg': {
-                'input_args': ['-re']
-            },
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920,
-                    'objects': {
-                        'track': ['person', 'dog'],
-                        'filters': {
-                            'dog': {
-                                'threshold': 0.7
-                            }
-                        }
-                    }
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert('-re' in frigate_config.cameras['back'].ffmpeg_cmds[0]['cmd'])
-    
-    def test_inherit_save_clips_retention(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'save_clips': {
-                'retain': {
-                    'default': 20,
-                    'objects': {
-                        'person': 30
-                    }
-                }
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-        frigate_config = FrigateConfig(config=config)
-        assert(frigate_config.cameras['back'].save_clips.retain.objects['person'] == 30)
-    
-    def test_roles_listed_twice_throws_error(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'save_clips': {
-                'retain': {
-                    'default': 20,
-                    'objects': {
-                        'person': 30
-                    }
-                }
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] },
-                            { 'path': 'rtsp://10.0.0.1:554/video2', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920
-                }
-            }
-        }
-        self.assertRaises(vol.MultipleInvalid, lambda: FrigateConfig(config=config))
-    
-    def test_zone_matching_camera_name_throws_error(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'save_clips': {
-                'retain': {
-                    'default': 20,
-                    'objects': {
-                        'person': 30
-                    }
-                }
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920,
-                    'zones': {
-                        'back': {
-                            'coordinates': '1,1,1,1,1,1'
-                        }
-                    }
-                }
-            }
-        }
-        self.assertRaises(vol.MultipleInvalid, lambda: FrigateConfig(config=config))
-    
-    def test_save_clips_should_default_to_global_objects(self):
-        config = {
-            'mqtt': {
-                'host': 'mqtt'
-            },
-            'save_clips': {
-                'retain': {
-                    'default': 20,
-                    'objects': {
-                        'person': 30
-                    }
-                }
-            },
-            'objects': {
-                'track': ['person', 'dog']
-            },
-            'cameras': {
-                'back': {
-                    'ffmpeg': {
-                        'inputs': [
-                            { 'path': 'rtsp://10.0.0.1:554/video', 'roles': ['detect'] }
-                        ]
-                    },
-                    'height': 1080,
-                    'width': 1920,
-                    'save_clips': {
-                        'enabled': True
-                    }
-                }
-            }
-        }
-        config = FrigateConfig(config=config)
-        assert(len(config.cameras['back'].save_clips.objects) == 2)
-        assert('dog' in config.cameras['back'].save_clips.objects)
-        assert('person' in config.cameras['back'].save_clips.objects)
-
-if __name__ == '__main__':
-    main(verbosity=2)

frigate/util.py

@@ -1,20 +1,14 @@
-import collections
 import datetime
-import hashlib
-import json
-import signal
-import subprocess as sp
-import threading
 import time
+import signal
 import traceback
-from abc import ABC, abstractmethod
-from multiprocessing import shared_memory
-from typing import AnyStr
-
-import cv2
-import matplotlib.pyplot as plt
+import collections
 import numpy as np
-
+import cv2
+import threading
+import matplotlib.pyplot as plt
+import hashlib
+import pyarrow.plasma as plasma
 
 def draw_box_with_label(frame, x_min, y_min, x_max, y_max, label, info, thickness=2, color=None, position='ul'):
     if color is None:
@@ -49,9 +43,6 @@ def draw_box_with_label(frame, x_min, y_min, x_max, y_max, label, info, thicknes
 def calculate_region(frame_shape, xmin, ymin, xmax, ymax, multiplier=2):    
     # size is larger than longest edge
     size = int(max(xmax-xmin, ymax-ymin)*multiplier)
-    # dont go any smaller than 300
-    if size < 300:
-        size = 300
     # if the size is too big to fit in the frame
     if size > min(frame_shape[0], frame_shape[1]):
         size = min(frame_shape[0], frame_shape[1])
@@ -74,37 +65,6 @@ def calculate_region(frame_shape, xmin, ymin, xmax, ymax, multiplier=2):
 
     return (x_offset, y_offset, x_offset+size, y_offset+size)
 
-def yuv_region_2_rgb(frame, region):
-    height = frame.shape[0]//3*2
-    width = frame.shape[1]
-    # make sure the size is a multiple of 4
-    size = (region[3] - region[1])//4*4
-
-    x1 = region[0] 
-    y1 = region[1]
-
-    uv_x1 = x1//2
-    uv_y1 = y1//4
-
-    uv_width = size//2
-    uv_height = size//4
-
-    u_y_start = height
-    v_y_start = height + height//4
-    two_x_offset = width//2
-
-    yuv_cropped_frame = np.zeros((size+size//2, size), np.uint8)
-    # y channel
-    yuv_cropped_frame[0:size, 0:size] = frame[y1:y1+size, x1:x1+size]
-    # u channel
-    yuv_cropped_frame[size:size+uv_height, 0:uv_width] = frame[uv_y1+u_y_start:uv_y1+u_y_start+uv_height, uv_x1:uv_x1+uv_width]
-    yuv_cropped_frame[size:size+uv_height, uv_width:size] = frame[uv_y1+u_y_start:uv_y1+u_y_start+uv_height, uv_x1+two_x_offset:uv_x1+two_x_offset+uv_width]
-    # v channel
-    yuv_cropped_frame[size+uv_height:size+uv_height*2, 0:uv_width] = frame[uv_y1+v_y_start:uv_y1+v_y_start+uv_height, uv_x1:uv_x1+uv_width]
-    yuv_cropped_frame[size+uv_height:size+uv_height*2, uv_width:size] = frame[uv_y1+v_y_start:uv_y1+v_y_start+uv_height, uv_x1+two_x_offset:uv_x1+two_x_offset+uv_width]
-
-    return cv2.cvtColor(yuv_cropped_frame, cv2.COLOR_YUV2RGB_I420)
-
 def intersection(box_a, box_b):
     return (
         max(box_a[0], box_b[0]),
@@ -162,16 +122,12 @@ class EventsPerSecond:
         self._start = datetime.datetime.now().timestamp()
 
     def update(self):
-        if self._start is None:
-            self.start()
         self._timestamps.append(datetime.datetime.now().timestamp())
         # truncate the list when it goes 100 over the max_size
         if len(self._timestamps) > self._max_events+100:
             self._timestamps = self._timestamps[(1-self._max_events):]
 
     def eps(self, last_n_seconds=10):
-        if self._start is None:
-            self.start()
 		# compute the (approximate) events in the last n seconds
         now = datetime.datetime.now().timestamp()
         seconds = min(now-self._start, last_n_seconds)
@@ -183,66 +139,45 @@ def print_stack(sig, frame):
 def listen():
     signal.signal(signal.SIGUSR1, print_stack)
 
-class FrameManager(ABC):
-    @abstractmethod
-    def create(self, name, size) -> AnyStr:
-        pass
+class PlasmaManager:
+    def __init__(self):
+        self.connect()
+    
+    def connect(self):
+        while True:
+            try:
+                self.plasma_client = plasma.connect("/tmp/plasma")
+                return
+            except:
+                print(f"TrackedObjectProcessor: unable to connect plasma client")
+                time.sleep(10)
 
-    @abstractmethod
     def get(self, name, timeout_ms=0):
-        pass
+        object_id = plasma.ObjectID(hashlib.sha1(str.encode(name)).digest())
+        while True:
+            try:
+                return self.plasma_client.get(object_id, timeout_ms=timeout_ms)
+            except:
+                self.connect()
+                time.sleep(1)
 
-    @abstractmethod
-    def close(self, name):
-        pass
-
-    @abstractmethod
-    def delete(self, name):
-        pass
-
-class DictFrameManager(FrameManager):
-    def __init__(self):
-        self.frames = {}
-    
-    def create(self, name, size) -> AnyStr:
-        mem = bytearray(size)
-        self.frames[name] = mem
-        return mem
-    
-    def get(self, name, shape):
-        mem = self.frames[name]
-        return np.ndarray(shape, dtype=np.uint8, buffer=mem)
-    
-    def close(self, name):
-        pass
+    def put(self, name, obj):
+        object_id = plasma.ObjectID(hashlib.sha1(str.encode(name)).digest())
+        while True:
+            try:
+                self.plasma_client.put(obj, object_id)
+                return
+            except Exception as e:
+                print(f"Failed to put in plasma: {e}")
+                self.connect()
+                time.sleep(1)
 
     def delete(self, name):
-        del self.frames[name]
-
-class SharedMemoryFrameManager(FrameManager):
-    def __init__(self):
-        self.shm_store = {}
-    
-    def create(self, name, size) -> AnyStr:
-        shm = shared_memory.SharedMemory(name=name, create=True, size=size)
-        self.shm_store[name] = shm
-        return shm.buf
-
-    def get(self, name, shape):
-        if name in self.shm_store:
-            shm = self.shm_store[name]
-        else:
-            shm = shared_memory.SharedMemory(name=name)
-            self.shm_store[name] = shm
-        return np.ndarray(shape, dtype=np.uint8, buffer=shm.buf)
-
-    def close(self, name):
-        if name in self.shm_store:
-            self.shm_store[name].close()
-            del self.shm_store[name]
-
-    def delete(self, name):
-        if name in self.shm_store:
-            self.shm_store[name].close()
-            self.shm_store[name].unlink()
-            del self.shm_store[name]
+        object_id = plasma.ObjectID(hashlib.sha1(str.encode(name)).digest())
+        while True:
+            try:
+                self.plasma_client.delete([object_id])
+                return
+            except:
+                self.connect()
+                time.sleep(1)

frigate/video.py

@@ -1,36 +1,58 @@
-import base64
-import copy
-import ctypes
+import os
+import time
 import datetime
+import cv2
+import queue
+import threading
+import ctypes
+import pyarrow.plasma as plasma
+import multiprocessing as mp
+import subprocess as sp
+import numpy as np
+import copy
 import itertools
 import json
-import logging
-import multiprocessing as mp
-import os
-import queue
-import subprocess as sp
-import signal
-import threading
-import time
 from collections import defaultdict
-from typing import Dict, List
-
-import cv2
-import numpy as np
-
-from frigate.config import CameraConfig
-from frigate.edgetpu import RemoteObjectDetector
-from frigate.log import LogPipe
-from frigate.motion import MotionDetector
+from frigate.util import draw_box_with_label, area, calculate_region, clipped, intersection_over_union, intersection, EventsPerSecond, listen, PlasmaManager
 from frigate.objects import ObjectTracker
-from frigate.util import (EventsPerSecond, FrameManager,
-                          SharedMemoryFrameManager, area, calculate_region,
-                          clipped, draw_box_with_label, intersection,
-                          intersection_over_union, listen, yuv_region_2_rgb)
+from frigate.edgetpu import RemoteObjectDetector
+from frigate.motion import MotionDetector
 
-logger = logging.getLogger(__name__)
+def get_frame_shape(source):
+    ffprobe_cmd = " ".join([
+        'ffprobe',
+        '-v',
+        'panic',
+        '-show_error',
+        '-show_streams',
+        '-of',
+        'json',
+        '"'+source+'"'
+    ])
+    print(ffprobe_cmd)
+    p = sp.Popen(ffprobe_cmd, stdout=sp.PIPE, shell=True)
+    (output, err) = p.communicate()
+    p_status = p.wait()
+    info = json.loads(output)
+    print(info)
 
-def filtered(obj, objects_to_track, object_filters, mask=None):
+    video_info = [s for s in info['streams'] if s['codec_type'] == 'video'][0]
+
+    if video_info['height'] != 0 and video_info['width'] != 0:
+        return (video_info['height'], video_info['width'], 3)
+    
+    # fallback to using opencv if ffprobe didnt succeed
+    video = cv2.VideoCapture(source)
+    ret, frame = video.read()
+    frame_shape = frame.shape
+    video.release()
+    return frame_shape
+
+def get_ffmpeg_input(ffmpeg_input):
+    frigate_vars = {k: v for k, v in os.environ.items() if k.startswith('FRIGATE_')}
+    return ffmpeg_input.format(**frigate_vars)
+
+def filtered(obj, objects_to_track, object_filters, mask):
     object_name = obj[0]
 
     if not object_name in objects_to_track:
@@ -41,16 +63,16 @@ def filtered(obj, objects_to_track, object_filters, mask=None):
 
         # if the min area is larger than the
         # detected object, don't add it to detected objects
-        if obj_settings.min_area > obj[3]:
+        if obj_settings.get('min_area',-1) > obj[3]:
             return True
         
         # if the detected object is larger than the
         # max area, don't add it to detected objects
-        if obj_settings.max_area < obj[3]:
+        if obj_settings.get('max_area', 24000000) < obj[3]:
             return True
 
-        # if the score is lower than the min_score, skip
-        if obj_settings.min_score > obj[1]:
+        # if the score is lower than the threshold, skip
+        if obj_settings.get('threshold', 0) > obj[1]:
             return True
     
         # compute the coordinates of the object and make sure
@@ -59,13 +81,13 @@ def filtered(obj, objects_to_track, object_filters, mask=None):
         x_location = min(int((obj[2][2]-obj[2][0])/2.0)+obj[2][0], len(mask[0])-1)
 
         # if the object is in a masked location, don't add it to detected objects
-        if (not mask is None) and (mask[y_location][x_location] == 0):
+        if mask[y_location][x_location] == [0]:
             return True
         
-    return False
+        return False
 
 def create_tensor_input(frame, region):
-    cropped_frame = yuv_region_2_rgb(frame, region)
+    cropped_frame = frame[region[1]:region[3], region[0]:region[2]]
 
     # Resize to 300x300 if needed
     if cropped_frame.shape != (300, 300, 3):
@@ -74,293 +96,216 @@ def create_tensor_input(frame, region):
     # Expand dimensions since the model expects images to have shape: [1, 300, 300, 3]
     return np.expand_dims(cropped_frame, axis=0)
 
-def stop_ffmpeg(ffmpeg_process, logger):
-    logger.info("Terminating the existing ffmpeg process...")
-    ffmpeg_process.terminate()
-    try:
-        logger.info("Waiting for ffmpeg to exit gracefully...")
-        ffmpeg_process.communicate(timeout=30)
-    except sp.TimeoutExpired:
-        logger.info("FFmpeg didnt exit. Force killing...")
-        ffmpeg_process.kill()
-        ffmpeg_process.communicate()
-    ffmpeg_process = None
-
-def start_or_restart_ffmpeg(ffmpeg_cmd, logger, logpipe: LogPipe, frame_size=None, ffmpeg_process=None):
+def start_or_restart_ffmpeg(ffmpeg_cmd, frame_size, ffmpeg_process=None):
     if not ffmpeg_process is None:
-        stop_ffmpeg(ffmpeg_process, logger)
+        print("Terminating the existing ffmpeg process...")
+        ffmpeg_process.terminate()
+        try:
+            print("Waiting for ffmpeg to exit gracefully...")
+            ffmpeg_process.communicate(timeout=30)
+        except sp.TimeoutExpired:
+            print("FFmpeg didnt exit. Force killing...")
+            ffmpeg_process.kill()
+            ffmpeg_process.communicate()
+        ffmpeg_process = None
 
-    if frame_size is None:
-        process = sp.Popen(ffmpeg_cmd, stdout = sp.DEVNULL, stderr=logpipe, stdin = sp.DEVNULL, start_new_session=True)
-    else:
-        process = sp.Popen(ffmpeg_cmd, stdout = sp.PIPE, stderr=logpipe, stdin = sp.DEVNULL, bufsize=frame_size*10, start_new_session=True)
+    print("Creating ffmpeg process...")
+    print(" ".join(ffmpeg_cmd))
+    process = sp.Popen(ffmpeg_cmd, stdout = sp.PIPE, stdin = sp.DEVNULL, bufsize=frame_size*10, start_new_session=True)
     return process
 
-def capture_frames(ffmpeg_process, camera_name, frame_shape, frame_manager: FrameManager, 
-    frame_queue, fps:mp.Value, skipped_fps: mp.Value, current_frame: mp.Value):
-
-    frame_size = frame_shape[0] * frame_shape[1]
-    frame_rate = EventsPerSecond()
-    frame_rate.start()
-    skipped_eps = EventsPerSecond()
-    skipped_eps.start()
-    while True:
-        fps.value = frame_rate.eps()
-        skipped_fps = skipped_eps.eps()
-
-        current_frame.value = datetime.datetime.now().timestamp()
-        frame_name = f"{camera_name}{current_frame.value}"
-        frame_buffer = frame_manager.create(frame_name, frame_size)
-        try:
-          frame_buffer[:] = ffmpeg_process.stdout.read(frame_size)
-        except:
-          logger.info(f"{camera_name}: ffmpeg sent a broken frame. something is wrong.")
-
-          if ffmpeg_process.poll() != None:
-              logger.info(f"{camera_name}: ffmpeg process is not running. exiting capture thread...")
-              frame_manager.delete(frame_name)
-              break
-          
-          continue
-
-        frame_rate.update()
-
-        # if the queue is full, skip this frame
-        if frame_queue.full():
-            skipped_eps.update()
-            frame_manager.delete(frame_name)
-            continue
-
-        # close the frame
-        frame_manager.close(frame_name)
-
-        # add to the queue
-        frame_queue.put(current_frame.value)
-
-class CameraWatchdog(threading.Thread):
-    def __init__(self, camera_name, config, frame_queue, camera_fps, ffmpeg_pid, stop_event):
+class CameraCapture(threading.Thread):
+    def __init__(self, name, ffmpeg_process, frame_shape, frame_queue, take_frame, fps):
         threading.Thread.__init__(self)
-        self.logger = logging.getLogger(f"watchdog.{camera_name}")
-        self.camera_name = camera_name
-        self.config = config
-        self.capture_thread = None
-        self.ffmpeg_detect_process = None
-        self.logpipe = LogPipe(f"ffmpeg.{self.camera_name}.detect", logging.ERROR)
-        self.ffmpeg_other_processes = []
-        self.camera_fps = camera_fps
-        self.ffmpeg_pid = ffmpeg_pid
+        self.name = name
+        self.frame_shape = frame_shape
+        self.frame_size = frame_shape[0] * frame_shape[1] * frame_shape[2]
         self.frame_queue = frame_queue
-        self.frame_shape = self.config.frame_shape_yuv
-        self.frame_size = self.frame_shape[0] * self.frame_shape[1]
-        self.stop_event = stop_event
+        self.take_frame = take_frame
+        self.fps = fps
+        self.plasma_client = PlasmaManager()
+        self.ffmpeg_process = ffmpeg_process
 
     def run(self):
-        self.start_ffmpeg_detect()
-
-        for c in self.config.ffmpeg_cmds:
-            if 'detect' in c['roles']:
-                continue
-            logpipe = LogPipe(f"ffmpeg.{self.camera_name}.{'_'.join(sorted(c['roles']))}", logging.ERROR)
-            self.ffmpeg_other_processes.append({
-                'cmd': c['cmd'],
-                'logpipe': logpipe,
-                'process': start_or_restart_ffmpeg(c['cmd'], self.logger, logpipe)
-            })
-        
-        time.sleep(10)
+        frame_num = 0
         while True:
-            if self.stop_event.is_set():
-                stop_ffmpeg(self.ffmpeg_detect_process, self.logger)
-                for p in self.ffmpeg_other_processes:
-                    stop_ffmpeg(p['process'], self.logger)
-                    p['logpipe'].close()
-                self.logpipe.close()
+            if self.ffmpeg_process.poll() != None:
+                print(f"{self.name}: ffmpeg process is not running. exiting capture thread...")
                 break
 
-            now = datetime.datetime.now().timestamp()
+            frame_bytes = self.ffmpeg_process.stdout.read(self.frame_size)
+            frame_time = datetime.datetime.now().timestamp()
 
-            if not self.capture_thread.is_alive():
-                self.start_ffmpeg_detect()
-            elif now - self.capture_thread.current_frame.value > 20:
-                self.logger.info(f"No frames received from {self.camera_name} in 20 seconds. Exiting ffmpeg...")
-                self.ffmpeg_detect_process.terminate()
-                try:
-                    self.logger.info("Waiting for ffmpeg to exit gracefully...")
-                    self.ffmpeg_detect_process.communicate(timeout=30)
-                except sp.TimeoutExpired:
-                    self.logger.info("FFmpeg didnt exit. Force killing...")
-                    self.ffmpeg_detect_process.kill()
-                    self.ffmpeg_detect_process.communicate()
+            if len(frame_bytes) == 0:
+                print(f"{self.name}: ffmpeg didnt return a frame. something is wrong.")
+                continue
 
-            for p in self.ffmpeg_other_processes:
-                poll = p['process'].poll()
-                if poll == None:
-                    continue
-                p['process'] = start_or_restart_ffmpeg(p['cmd'], self.logger, p['logpipe'], ffmpeg_process=p['process'])
+            frame_num += 1
+            if (frame_num % self.take_frame) != 0:
+                continue
 
-            # wait a bit before checking again
-            time.sleep(10)
+            # put the frame in the plasma store
+            self.plasma_client.put(f"{self.name}{frame_time}",
+                    np
+                        .frombuffer(frame_bytes, np.uint8)
+                        .reshape(self.frame_shape)
+                )
+            # add to the queue
+            self.frame_queue.put(frame_time)
 
-    def start_ffmpeg_detect(self):
-        ffmpeg_cmd = [c['cmd'] for c in self.config.ffmpeg_cmds if 'detect' in c['roles']][0]
-        self.ffmpeg_detect_process = start_or_restart_ffmpeg(ffmpeg_cmd, self.logger, self.logpipe, self.frame_size)
-        self.ffmpeg_pid.value = self.ffmpeg_detect_process.pid
-        self.capture_thread = CameraCapture(self.camera_name, self.ffmpeg_detect_process, self.frame_shape, self.frame_queue, 
-            self.camera_fps)
-        self.capture_thread.start()
+            self.fps.update()
 
-class CameraCapture(threading.Thread):
-    def __init__(self, camera_name, ffmpeg_process, frame_shape, frame_queue, fps):
-        threading.Thread.__init__(self)
-        self.name = f"capture:{camera_name}"
-        self.camera_name = camera_name
-        self.frame_shape = frame_shape
-        self.frame_queue = frame_queue
-        self.fps = fps
-        self.skipped_fps = EventsPerSecond()
-        self.frame_manager = SharedMemoryFrameManager()
-        self.ffmpeg_process = ffmpeg_process
-        self.current_frame = mp.Value('d', 0.0)
-        self.last_frame = 0
-
-    def run(self):
-        self.skipped_fps.start()
-        capture_frames(self.ffmpeg_process, self.camera_name, self.frame_shape, self.frame_manager, self.frame_queue,
-            self.fps, self.skipped_fps, self.current_frame)
-
-def capture_camera(name, config: CameraConfig, process_info):
-    stop_event = mp.Event()
-    def receiveSignal(signalNumber, frame):
-        stop_event.set()
-    
-    signal.signal(signal.SIGTERM, receiveSignal)
-    signal.signal(signal.SIGINT, receiveSignal)
-
-    frame_queue = process_info['frame_queue']
-    camera_watchdog = CameraWatchdog(name, config, frame_queue, process_info['camera_fps'], process_info['ffmpeg_pid'], stop_event)
-    camera_watchdog.start()
-    camera_watchdog.join()
-
-def track_camera(name, config: CameraConfig, detection_queue, result_connection, detected_objects_queue, process_info):
-    stop_event = mp.Event()
-    def receiveSignal(signalNumber, frame):
-        stop_event.set()
-    
-    signal.signal(signal.SIGTERM, receiveSignal)
-    signal.signal(signal.SIGINT, receiveSignal)
-
-    threading.current_thread().name = f"process:{name}"
+def track_camera(name, config, global_objects_config, frame_queue, frame_shape, detection_queue, detected_objects_queue, fps, skipped_fps, detection_fps, read_start):
+    print(f"Starting process for {name}: {os.getpid()}")
     listen()
 
-    frame_queue = process_info['frame_queue']
+    # Merge the tracked object config with the global config
+    camera_objects_config = config.get('objects', {})    
+    # combine tracked objects lists
+    objects_to_track = set().union(global_objects_config.get('track', ['person', 'car', 'truck']), camera_objects_config.get('track', []))
+    # merge object filters
+    global_object_filters = global_objects_config.get('filters', {})
+    camera_object_filters = camera_objects_config.get('filters', {})
+    objects_with_config = set().union(global_object_filters.keys(), camera_object_filters.keys())
+    object_filters = {}
+    for obj in objects_with_config:
+        object_filters[obj] = {**global_object_filters.get(obj, {}), **camera_object_filters.get(obj, {})}
 
-    frame_shape = config.frame_shape
-    objects_to_track = config.objects.track
-    object_filters = config.objects.filters
-    mask = config.mask
+    expected_fps = config['fps']
+
+    frame = np.zeros(frame_shape, np.uint8)
+
+    # load in the mask for object detection
+    if 'mask' in config:
+        mask = cv2.imread("/config/{}".format(config['mask']), cv2.IMREAD_GRAYSCALE)
+    else:
+        mask = None
+
+    if mask is None:
+        mask = np.zeros((frame_shape[0], frame_shape[1], 1), np.uint8)
+        mask[:] = 255
 
     motion_detector = MotionDetector(frame_shape, mask, resize_factor=6)
-    object_detector = RemoteObjectDetector(name, '/labelmap.txt', detection_queue, result_connection)
+    object_detector = RemoteObjectDetector(name, '/labelmap.txt', detection_queue)
 
     object_tracker = ObjectTracker(10)
 
-    frame_manager = SharedMemoryFrameManager()
-
-    process_frames(name, frame_queue, frame_shape, frame_manager, motion_detector, object_detector,
-        object_tracker, detected_objects_queue, process_info, objects_to_track, object_filters, mask, stop_event)
-
-    logger.info(f"{name}: exiting subprocess")
-
-def reduce_boxes(boxes):
-    if len(boxes) == 0:
-        return []
-    reduced_boxes = cv2.groupRectangles([list(b) for b in itertools.chain(boxes, boxes)], 1, 0.2)[0]
-    return [tuple(b) for b in reduced_boxes]
-
-def detect(object_detector, frame, region, objects_to_track, object_filters, mask):
-    tensor_input = create_tensor_input(frame, region)
-
-    detections = []
-    region_detections = object_detector.detect(tensor_input)
-    for d in region_detections:
-        box = d[2]
-        size = region[2]-region[0]
-        x_min = int((box[1] * size) + region[0])
-        y_min = int((box[0] * size) + region[1])
-        x_max = int((box[3] * size) + region[0])
-        y_max = int((box[2] * size) + region[1])
-        det = (d[0],
-            d[1],
-            (x_min, y_min, x_max, y_max),
-            (x_max-x_min)*(y_max-y_min),
-            region)
-        # apply object filters
-        if filtered(det, objects_to_track, object_filters, mask):
-            continue
-        detections.append(det)
-    return detections
-
-def process_frames(camera_name: str, frame_queue: mp.Queue, frame_shape, 
-    frame_manager: FrameManager, motion_detector: MotionDetector, 
-    object_detector: RemoteObjectDetector, object_tracker: ObjectTracker,
-    detected_objects_queue: mp.Queue, process_info: Dict,
-    objects_to_track: List[str], object_filters, mask, stop_event,
-    exit_on_empty: bool = False):
-    
-    fps = process_info['process_fps']
-    detection_fps = process_info['detection_fps']
-    current_frame_time = process_info['detection_frame']
-
+    plasma_client = PlasmaManager()
+    frame_num = 0
+    avg_wait = 0.0
     fps_tracker = EventsPerSecond()
+    skipped_fps_tracker = EventsPerSecond()
     fps_tracker.start()
-
+    skipped_fps_tracker.start()
+    object_detector.fps.start()
     while True:
-        if stop_event.is_set():
-            break
+        read_start.value = datetime.datetime.now().timestamp()
+        frame_time = frame_queue.get()
+        duration = datetime.datetime.now().timestamp()-read_start.value
+        read_start.value = 0.0
+        avg_wait = (avg_wait*99+duration)/100
 
-        if exit_on_empty and frame_queue.empty():
-            logger.info(f"Exiting track_objects...")
-            break
+        fps_tracker.update()
+        fps.value = fps_tracker.eps()
+        detection_fps.value = object_detector.fps.eps()
         
-        try:
-            frame_time = frame_queue.get(True, 10)
-        except queue.Empty:
-            continue
+        # Get frame from plasma store
+        frame = plasma_client.get(f"{name}{frame_time}")
 
-        current_frame_time.value = frame_time
-
-        frame = frame_manager.get(f"{camera_name}{frame_time}", (frame_shape[0]*3//2, frame_shape[1]))
-
-        if frame is None:
-            logger.info(f"{camera_name}: frame {frame_time} is not in memory store.")
+        if frame is plasma.ObjectNotAvailable:
+            skipped_fps_tracker.update()
+            skipped_fps.value = skipped_fps_tracker.eps()
             continue
         
         # look for motion
         motion_boxes = motion_detector.detect(frame)
 
-        tracked_object_boxes = [obj['box'] for obj in object_tracker.tracked_objects.values()]
+        # skip object detection if we are below the min_fps and wait time is less than half the average
+        if frame_num > 100 and fps.value < expected_fps-1 and duration < 0.5*avg_wait:
+            skipped_fps_tracker.update()
+            skipped_fps.value = skipped_fps_tracker.eps()
+            plasma_client.delete(f"{name}{frame_time}")
+            continue
         
-        # combine motion boxes with known locations of existing objects
-        combined_boxes = reduce_boxes(motion_boxes + tracked_object_boxes)
+        skipped_fps.value = skipped_fps_tracker.eps()
 
-        # compute regions
-        regions = [calculate_region(frame_shape, a[0], a[1], a[2], a[3], 1.2)
-            for a in combined_boxes]
+        tracked_objects = object_tracker.tracked_objects.values()
 
-        # combine overlapping regions
-        combined_regions = reduce_boxes(regions)
+        # merge areas of motion that intersect with a known tracked object into a single area to look at
+        areas_of_interest = []
+        used_motion_boxes = []
+        for obj in tracked_objects:
+            x_min, y_min, x_max, y_max = obj['box']
+            for m_index, motion_box in enumerate(motion_boxes):
+                if area(intersection(obj['box'], motion_box))/area(motion_box) > .5:
+                    used_motion_boxes.append(m_index)
+                    x_min = min(obj['box'][0], motion_box[0])
+                    y_min = min(obj['box'][1], motion_box[1])
+                    x_max = max(obj['box'][2], motion_box[2])
+                    y_max = max(obj['box'][3], motion_box[3])
+            areas_of_interest.append((x_min, y_min, x_max, y_max))
+        unused_motion_boxes = set(range(0, len(motion_boxes))).difference(used_motion_boxes)
         
-        # re-compute regions
-        regions = [calculate_region(frame_shape, a[0], a[1], a[2], a[3], 1.0)
-            for a in combined_regions]
+        # compute motion regions
+        motion_regions = [calculate_region(frame_shape, motion_boxes[i][0], motion_boxes[i][1], motion_boxes[i][2], motion_boxes[i][3], 1.2)
+            for i in unused_motion_boxes]
+        
+        # compute tracked object regions
+        object_regions = [calculate_region(frame_shape, a[0], a[1], a[2], a[3], 1.2)
+            for a in areas_of_interest]
+        
+        # merge regions with high IOU
+        merged_regions = motion_regions+object_regions
+        while True:
+            max_iou = 0.0
+            max_indices = None
+            region_indices = range(len(merged_regions))
+            for a, b in itertools.combinations(region_indices, 2):
+                iou = intersection_over_union(merged_regions[a], merged_regions[b])
+                if iou > max_iou:
+                    max_iou = iou
+                    max_indices = (a, b)
+            if max_iou > 0.1:
+                a = merged_regions[max_indices[0]]
+                b = merged_regions[max_indices[1]]
+                merged_regions.append(calculate_region(frame_shape,
+                    min(a[0], b[0]),
+                    min(a[1], b[1]),
+                    max(a[2], b[2]),
+                    max(a[3], b[3]),
+                    1
+                ))
+                del merged_regions[max(max_indices[0], max_indices[1])]
+                del merged_regions[min(max_indices[0], max_indices[1])]
+            else:
+                break
 
         # resize regions and detect
         detections = []
-        for region in regions:
-            detections.extend(detect(object_detector, frame, region, objects_to_track, object_filters, mask))
+        for region in merged_regions:
+
+            tensor_input = create_tensor_input(frame, region)
+
+            region_detections = object_detector.detect(tensor_input)
+
+            for d in region_detections:
+                box = d[2]
+                size = region[2]-region[0]
+                x_min = int((box[1] * size) + region[0])
+                y_min = int((box[0] * size) + region[1])
+                x_max = int((box[3] * size) + region[0])
+                y_max = int((box[2] * size) + region[1])
+                det = (d[0],
+                    d[1],
+                    (x_min, y_min, x_max, y_max),
+                    (x_max-x_min)*(y_max-y_min),
+                    region)
+                if filtered(det, objects_to_track, object_filters, mask):
+                    continue
+                detections.append(det)
 
         #########
-        # merge objects, check for clipped objects and look again up to 4 times
+        # merge objects, check for clipped objects and look again up to N times
         #########
         refining = True
         refine_count = 0
@@ -390,11 +335,29 @@ def process_frames(camera_name: str, frame_queue: mp.Queue, frame_shape,
                             box[0], box[1],
                             box[2], box[3])
                         
-                        selected_objects.extend(detect(object_detector, frame, region, objects_to_track, object_filters, mask))
+                        tensor_input = create_tensor_input(frame, region)
+                        # run detection on new region
+                        refined_detections = object_detector.detect(tensor_input)
+                        for d in refined_detections:
+                            box = d[2]
+                            size = region[2]-region[0]
+                            x_min = int((box[1] * size) + region[0])
+                            y_min = int((box[0] * size) + region[1])
+                            x_max = int((box[3] * size) + region[0])
+                            y_max = int((box[2] * size) + region[1])
+                            det = (d[0],
+                                d[1],
+                                (x_min, y_min, x_max, y_max),
+                                (x_max-x_min)*(y_max-y_min),
+                                region)
+                            if filtered(det, objects_to_track, object_filters, mask):
+                                continue
+                            selected_objects.append(det)
 
                         refining = True
                     else:
                         selected_objects.append(obj)
+                
             # set the detections list to only include top, complete objects
             # and new detections
             detections = selected_objects
@@ -405,13 +368,7 @@ def process_frames(camera_name: str, frame_queue: mp.Queue, frame_shape,
         # now that we have refined our detections, we need to track objects
         object_tracker.match_and_update(frame_time, detections)
 
-        # add to the queue if not full
-        if(detected_objects_queue.full()):
-          frame_manager.delete(f"{camera_name}{frame_time}")
-          continue
-        else:
-          fps_tracker.update()
-          fps.value = fps_tracker.eps()
-          detected_objects_queue.put((camera_name, frame_time, object_tracker.tracked_objects))
-          detection_fps.value = object_detector.fps.eps()
-          frame_manager.close(f"{camera_name}{frame_time}")
+        # add to the queue
+        detected_objects_queue.put((name, frame_time, object_tracker.tracked_objects))
+
+    print(f"{name}: exiting subprocess")

frigate/watchdog.py

@@ -1,36 +0,0 @@
-import datetime
-import logging
-import threading
-import time
-
-logger = logging.getLogger(__name__)
-
-class FrigateWatchdog(threading.Thread):
-    def __init__(self, detectors, stop_event):
-        threading.Thread.__init__(self)
-        self.name = 'frigate_watchdog'
-        self.detectors = detectors
-        self.stop_event = stop_event
-
-    def run(self):
-        time.sleep(10)
-        while True:
-            # wait a bit before checking
-            time.sleep(10)
-
-            if self.stop_event.is_set():
-                logger.info(f"Exiting watchdog...")
-                break
-
-            now = datetime.datetime.now().timestamp()
-
-            # check the detection processes
-            for detector in self.detectors.values():
-                detection_start = detector.detection_start.value
-                if (detection_start > 0.0 and 
-                    now - detection_start > 10):
-                    logger.info("Detection appears to be stuck. Restarting detection process")
-                    detector.start_or_restart()
-                elif not detector.detect_process.is_alive():
-                    logger.info("Detection appears to have stopped. Restarting detection process")
-                    detector.start_or_restart()

frigate/zeroconf.py

@@ -1,58 +0,0 @@
-import logging
-import socket
-
-from zeroconf import (
-    ServiceInfo,
-    NonUniqueNameException,
-    InterfaceChoice,
-    IPVersion,
-    Zeroconf,
-)
-
-logger = logging.getLogger(__name__)
-
-ZEROCONF_TYPE = "_frigate._tcp.local."
-
-# Taken from: http://stackoverflow.com/a/11735897
-def get_local_ip() -> str:
-    """Try to determine the local IP address of the machine."""
-    try:
-        sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
-
-        # Use Google Public DNS server to determine own IP
-        sock.connect(("8.8.8.8", 80))
-
-        return sock.getsockname()[0]  # type: ignore
-    except OSError:
-        try:
-            return socket.gethostbyname(socket.gethostname())
-        except socket.gaierror:
-            return "127.0.0.1"
-    finally:
-        sock.close()
-
-def broadcast_zeroconf(frigate_id):
-    zeroconf = Zeroconf(interfaces=InterfaceChoice.Default, ip_version=IPVersion.V4Only)
-
-    host_ip = get_local_ip()
-
-    try:
-        host_ip_pton = socket.inet_pton(socket.AF_INET, host_ip)
-    except OSError:
-        host_ip_pton = socket.inet_pton(socket.AF_INET6, host_ip)
-
-    info = ServiceInfo(
-        ZEROCONF_TYPE,
-        name=f"{frigate_id}.{ZEROCONF_TYPE}",
-        addresses=[host_ip_pton],
-        port=5000,
-    )
-
-    logger.info("Starting Zeroconf broadcast")
-    try:
-        zeroconf.register_service(info)
-    except NonUniqueNameException:
-        logger.error(
-            "Frigate instance with identical name present in the local network"
-        )
-    return zeroconf

labelmap.txt

@@ -1,80 +0,0 @@
-0  person
-1  bicycle
-2  car
-3  motorcycle
-4  airplane
-5  bus
-6  train
-7  car
-8  boat
-9  traffic light
-10  fire hydrant
-12  stop sign
-13  parking meter
-14  bench
-15  bird
-16  cat
-17  dog
-18  horse
-19  sheep
-20  cow
-21  elephant
-22  bear
-23  zebra
-24  giraffe
-26  backpack
-27  umbrella
-30  handbag
-31  tie
-32  suitcase
-33  frisbee
-34  skis
-35  snowboard
-36  sports ball
-37  kite
-38  baseball bat
-39  baseball glove
-40  skateboard
-41  surfboard
-42  tennis racket
-43  bottle
-45  wine glass
-46  cup
-47  fork
-48  knife
-49  spoon
-50  bowl
-51  banana
-52  apple
-53  sandwich
-54  orange
-55  broccoli
-56  carrot
-57  hot dog
-58  pizza
-59  donut
-60  cake
-61  chair
-62  couch
-63  potted plant
-64  bed
-66  dining table
-69  toilet
-71  tv
-72  laptop
-73  mouse
-74  remote
-75  keyboard
-76  cell phone
-77  microwave
-78  oven
-79  toaster
-80  sink
-81  refrigerator
-83  book
-84  clock
-85  vase
-86  scissors
-87  teddy bear
-88  hair drier
-89  toothbrush

nginx/nginx.conf

@@ -1,122 +0,0 @@
-worker_processes  1;
-
-error_log  /var/log/nginx/error.log warn;
-pid        /var/run/nginx.pid;
-
-load_module "modules/ngx_rtmp_module.so";
-
-events {
-    worker_connections  1024;
-}
-
-http {
-    include       /etc/nginx/mime.types;
-    default_type  application/octet-stream;
-
-    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
-                        '$status $body_bytes_sent "$http_referer" '
-                        '"$http_user_agent" "$http_x_forwarded_for"';
-
-    access_log  /var/log/nginx/access.log  main;
-
-    sendfile        on;
-
-    keepalive_timeout  65;
-
-    upstream frigate_api {
-      server localhost:5001;
-      keepalive 1024;
-    }
-
-    server {
-        listen 5000;
-
-        location /stream/ {
-            add_header 'Cache-Control' 'no-cache';
-            add_header 'Access-Control-Allow-Origin' "$http_origin" always;
-            add_header 'Access-Control-Allow-Credentials' 'true';
-            add_header 'Access-Control-Expose-Headers' 'Content-Length';
-            if ($request_method = 'OPTIONS') {
-                add_header 'Access-Control-Allow-Origin' "$http_origin";
-                add_header 'Access-Control-Max-Age' 1728000;
-                add_header 'Content-Type' 'text/plain charset=UTF-8';
-                add_header 'Content-Length' 0;
-                return 204;
-            }
-
-            types {
-                application/dash+xml mpd;
-                application/vnd.apple.mpegurl m3u8;
-                video/mp2t ts;
-                image/jpeg jpg;
-            }
-
-            root /tmp;
-        }
-
-        location /clips/ {
-            add_header 'Access-Control-Allow-Origin' "$http_origin" always;
-            add_header 'Access-Control-Allow-Credentials' 'true';
-            add_header 'Access-Control-Expose-Headers' 'Content-Length';
-            if ($request_method = 'OPTIONS') {
-                add_header 'Access-Control-Allow-Origin' "$http_origin";
-                add_header 'Access-Control-Max-Age' 1728000;
-                add_header 'Content-Type' 'text/plain charset=UTF-8';
-                add_header 'Content-Length' 0;
-                return 204;
-            }
-
-            types {
-                video/mp4 mp4;
-                image/jpeg jpg;
-            }
-
-            autoindex on;
-            root /media/frigate;
-        }
-
-        location /recordings/ {
-            add_header 'Access-Control-Allow-Origin' "$http_origin" always;
-            add_header 'Access-Control-Allow-Credentials' 'true';
-            add_header 'Access-Control-Expose-Headers' 'Content-Length';
-            if ($request_method = 'OPTIONS') {
-                add_header 'Access-Control-Allow-Origin' "$http_origin";
-                add_header 'Access-Control-Max-Age' 1728000;
-                add_header 'Content-Type' 'text/plain charset=UTF-8';
-                add_header 'Content-Length' 0;
-                return 204;
-            }
-
-            types {
-                video/mp4 mp4;
-            }
-
-            autoindex on;
-            autoindex_format json;
-            root /media/frigate;
-        }
-
-        location / {
-            proxy_pass http://frigate_api/;
-            proxy_pass_request_headers on;
-            proxy_set_header Host $host;
-            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-            proxy_set_header X-Forwarded-Proto $scheme;
-        }
-    }
-}
-
-rtmp {
-    server {
-        listen 1935;
-        chunk_size 4096;
-        allow publish 127.0.0.1;
-        deny publish all;
-        allow play all;
-        application live {
-            live on;
-            record off;
-            meta copy;
-        }
-    }
-}

process_clip.py

@@ -1,152 +0,0 @@
-import sys
-import click
-import os
-import datetime
-from unittest import TestCase, main
-from frigate.video import process_frames, start_or_restart_ffmpeg, capture_frames, get_frame_shape
-from frigate.util import DictFrameManager, SharedMemoryFrameManager, EventsPerSecond, draw_box_with_label
-from frigate.motion import MotionDetector
-from frigate.edgetpu import LocalObjectDetector
-from frigate.objects import ObjectTracker
-import multiprocessing as mp
-import numpy as np
-import cv2
-from frigate.object_processing import COLOR_MAP, CameraState
-
-class ProcessClip():
-    def __init__(self, clip_path, frame_shape, config):
-        self.clip_path = clip_path
-        self.frame_shape = frame_shape
-        self.camera_name = 'camera'
-        self.frame_manager = DictFrameManager()
-        # self.frame_manager = SharedMemoryFrameManager()
-        self.frame_queue = mp.Queue()
-        self.detected_objects_queue = mp.Queue()
-        self.camera_state = CameraState(self.camera_name, config, self.frame_manager)
-
-    def load_frames(self):
-        fps = EventsPerSecond()
-        skipped_fps = EventsPerSecond()
-        stop_event = mp.Event()
-        detection_frame = mp.Value('d', datetime.datetime.now().timestamp()+100000)
-        current_frame = mp.Value('d', 0.0)
-        ffmpeg_cmd = f"ffmpeg -hide_banner -loglevel panic -i {self.clip_path} -f rawvideo -pix_fmt rgb24 pipe:".split(" ")
-        ffmpeg_process = start_or_restart_ffmpeg(ffmpeg_cmd, self.frame_shape[0]*self.frame_shape[1]*self.frame_shape[2])
-        capture_frames(ffmpeg_process, self.camera_name, self.frame_shape, self.frame_manager, self.frame_queue, 1, fps, skipped_fps, stop_event, detection_frame, current_frame)
-        ffmpeg_process.wait()
-        ffmpeg_process.communicate()
-    
-    def process_frames(self, objects_to_track=['person'], object_filters={}):
-        mask = np.zeros((self.frame_shape[0], self.frame_shape[1], 1), np.uint8)
-        mask[:] = 255
-        motion_detector = MotionDetector(self.frame_shape, mask)
-
-        object_detector = LocalObjectDetector(labels='/labelmap.txt')
-        object_tracker = ObjectTracker(10)
-        process_fps = mp.Value('d', 0.0)
-        detection_fps = mp.Value('d', 0.0)
-        current_frame = mp.Value('d', 0.0)
-        stop_event = mp.Event()
-
-        process_frames(self.camera_name, self.frame_queue, self.frame_shape, self.frame_manager, motion_detector, object_detector, object_tracker, self.detected_objects_queue, 
-            process_fps, detection_fps, current_frame, objects_to_track, object_filters, mask, stop_event, exit_on_empty=True)
-    
-    def objects_found(self, debug_path=None):
-        obj_detected = False
-        top_computed_score = 0.0
-        def handle_event(name, obj):
-            nonlocal obj_detected
-            nonlocal top_computed_score
-            if obj['computed_score'] > top_computed_score:
-                top_computed_score = obj['computed_score']
-            if not obj['false_positive']:
-                obj_detected = True
-        self.camera_state.on('new', handle_event)
-        self.camera_state.on('update', handle_event)
-
-        while(not self.detected_objects_queue.empty()):
-            camera_name, frame_time, current_tracked_objects = self.detected_objects_queue.get()
-            if not debug_path is None:
-                self.save_debug_frame(debug_path, frame_time, current_tracked_objects.values())
-
-            self.camera_state.update(frame_time, current_tracked_objects)
-            for obj in self.camera_state.tracked_objects.values():
-                print(f"{frame_time}: {obj['id']} - {obj['computed_score']} - {obj['score_history']}")
-        
-        self.frame_manager.delete(self.camera_state.previous_frame_id)
-        
-        return {
-            'object_detected': obj_detected,
-            'top_score': top_computed_score
-        }
-    
-    def save_debug_frame(self, debug_path, frame_time, tracked_objects):
-        current_frame = self.frame_manager.get(f"{self.camera_name}{frame_time}", self.frame_shape)
-        # draw the bounding boxes on the frame
-        for obj in tracked_objects:
-            thickness = 2
-            color = (0,0,175)
-
-            if obj['frame_time'] != frame_time:
-                thickness = 1
-                color = (255,0,0)
-            else:
-                color = (255,255,0)
-
-            # draw the bounding boxes on the frame
-            box = obj['box']
-            draw_box_with_label(current_frame, box[0], box[1], box[2], box[3], obj['label'], f"{int(obj['score']*100)}% {int(obj['area'])}", thickness=thickness, color=color)
-            # draw the regions on the frame
-            region = obj['region']
-            draw_box_with_label(current_frame, region[0], region[1], region[2], region[3], 'region', "", thickness=1, color=(0,255,0))
-        
-        cv2.imwrite(f"{os.path.join(debug_path, os.path.basename(self.clip_path))}.{int(frame_time*1000000)}.jpg", cv2.cvtColor(current_frame, cv2.COLOR_RGB2BGR))
-
-@click.command()
-@click.option("-p", "--path", required=True, help="Path to clip or directory to test.")
-@click.option("-l", "--label", default='person', help="Label name to detect.")
-@click.option("-t", "--threshold", default=0.85, help="Threshold value for objects.")
-@click.option("--debug-path", default=None, help="Path to output frames for debugging.")
-def process(path, label, threshold, debug_path):
-    clips = []
-    if os.path.isdir(path):
-        files = os.listdir(path)
-        files.sort()
-        clips = [os.path.join(path, file) for file in files]
-    elif os.path.isfile(path):  
-        clips.append(path)
-
-    config = {
-        'snapshots': {
-            'show_timestamp': False, 
-            'draw_zones': False
-        },
-        'zones': {},
-        'objects': {
-            'track': [label],
-            'filters': {
-                'person': {
-                    'threshold': threshold
-                }
-            }
-        }
-    }
-
-    results = []
-    for c in clips:
-        frame_shape = get_frame_shape(c)
-        config['frame_shape'] = frame_shape
-        process_clip = ProcessClip(c, frame_shape, config)
-        process_clip.load_frames()
-        process_clip.process_frames(objects_to_track=config['objects']['track'])
-
-        results.append((c, process_clip.objects_found(debug_path)))
-
-    for result in results:
-        print(f"{result[0]}: {result[1]}")
-    
-    positive_count = sum(1 for result in results if result[1]['object_detected'])
-    print(f"Objects were detected in {positive_count}/{len(results)}({positive_count/len(results)*100:.2f}%) clip(s).")
-
-if __name__ == '__main__':
-    process()

run.sh

@@ -1,4 +0,0 @@
-#!/usr/bin/env bash
-
-service nginx start
-exec python3 -u -m frigate