Point go2rtc links in docs to 1.2.0 specifically (#5816)

* Point to specific tag of go2rtc docs

* Point to go2rtc 1.2.0 docs

* Point to go2rtc 1.2.0 docs

* Update camera_specific.md

.github/ISSUE_TEMPLATE/detector_support_request.yml

@@ -1,6 +1,6 @@
-name: EdgeTpu Support Request
-description: Support for setting up EdgeTPU in Frigate
-title: "[EdgeTPU Support]: "
+name: Detector Support Request
+description: Support for setting up object detector in Frigate (Coral, OpenVINO, TensorRT, etc.)
+title: "[Detector Support]: "
 labels: ["support", "triage"]
 assignees: []
 body:

.github/workflows/ci.yml

@@ -6,6 +6,11 @@ on:
       - dev
       - master
 
+# only run the latest commit to avoid cache overwrites
+concurrency:
+  group: ${{ github.ref }}
+  cancel-in-progress: true
+
 env:
   PYTHON_VERSION: 3.9
 
@@ -14,6 +19,15 @@ jobs:
     runs-on: ubuntu-latest
     name: Image Build
     steps:
+      - name: Remove unnecessary files
+        run: |
+          sudo rm -rf /usr/share/dotnet
+          sudo rm -rf /usr/local/lib/android
+          sudo rm -rf /opt/ghc
+      - id: lowercaseRepo
+        uses: ASzc/change-string-case-action@v5
+        with:
+          string: ${{ github.repository }}
       - name: Check out code
         uses: actions/checkout@v3
       - name: Set up QEMU
@@ -38,7 +52,7 @@ jobs:
           platforms: linux/amd64,linux/arm64,linux/arm/v7
           target: frigate
           tags: |
-            ghcr.io/blakeblackshear/frigate:${{ github.ref_name }}-${{ env.SHORT_SHA }}
+            ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ github.ref_name }}-${{ env.SHORT_SHA }}
           cache-from: type=gha
           cache-to: type=gha,mode=max
       - name: Build and push TensorRT
@@ -49,5 +63,5 @@ jobs:
           platforms: linux/amd64
           target: frigate-tensorrt
           tags: |
-            ghcr.io/blakeblackshear/frigate:${{ github.ref_name }}-${{ env.SHORT_SHA }}-tensorrt
+            ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ github.ref_name }}-${{ env.SHORT_SHA }}-tensorrt
           cache-from: type=gha

Dockerfile

@@ -27,7 +27,7 @@ RUN --mount=type=tmpfs,target=/tmp --mount=type=tmpfs,target=/var/cache/apt \
 FROM wget AS go2rtc
 ARG TARGETARCH
 WORKDIR /rootfs/usr/local/go2rtc/bin
-RUN wget -qO go2rtc "https://github.com/AlexxIT/go2rtc/releases/download/v0.1-rc.9/go2rtc_linux_${TARGETARCH}" \
+RUN wget -qO go2rtc "https://github.com/AlexxIT/go2rtc/releases/download/v1.2.0/go2rtc_linux_${TARGETARCH}" \
     && chmod +x go2rtc
 
 
@@ -192,22 +192,10 @@ RUN ldconfig
 EXPOSE 5000
 EXPOSE 1935
 EXPOSE 8554
-EXPOSE 8555
+EXPOSE 8555/tcp 8555/udp
 
-# Fails if cont-init.d fails
-ENV S6_BEHAVIOUR_IF_STAGE2_FAILS=2
-# Wait indefinitely for cont-init.d to finish before starting services
-ENV S6_CMD_WAIT_FOR_SERVICES=1
-ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
-# Give services (including Frigate) 30 seconds to stop before killing them
-# But this is not working currently because of:
-# https://github.com/just-containers/s6-overlay/issues/503
-ENV S6_SERVICES_GRACETIME=30000
 # Configure logging to prepend timestamps, log to stdout, keep 0 archives and rotate on 10MB
 ENV S6_LOGGING_SCRIPT="T 1 n0 s10000000 T"
-# TODO: remove after a new version of s6-overlay is released. See:
-# https://github.com/just-containers/s6-overlay/issues/460#issuecomment-1327127006
-ENV S6_SERVICES_READYTIME=50
 
 ENTRYPOINT ["/init"]
 CMD []
@@ -217,7 +205,11 @@ FROM deps AS devcontainer
 
 # Do not start the actual Frigate service on devcontainer as it will be started by VSCode
 # But start a fake service for simulating the logs
-COPY docker/fake_frigate_run /etc/services.d/frigate/run
+COPY docker/fake_frigate_run /etc/s6-overlay/s6-rc.d/frigate/run
+
+# Create symbolic link to the frigate source code, as go2rtc's create_config.sh uses it
+RUN mkdir -p /opt/frigate \
+    && ln -svf /workspace/frigate/frigate /opt/frigate/frigate
 
 # Install Node 16
 RUN apt-get update \

docker/fake_frigate_run

@@ -2,7 +2,12 @@
 # shellcheck shell=bash
 # Start the fake Frigate service
 
+set -o errexit -o nounset -o pipefail
+
+# Tell S6-Overlay not to restart this service
+s6-svc -O .
+
 while true; do
-  echo "The fake Frigate service is running..."
+  echo "[INFO] The fake Frigate service is running..."
   sleep 5s
 done

docker/install_deps.sh

@@ -10,7 +10,9 @@ apt-get -qq install --no-install-recommends -y \
     wget \
     procps vainfo \
     unzip locales tzdata libxml2 xz-utils \
-    python3-pip
+    python3-pip \
+    curl \
+    jq
 
 mkdir -p -m 600 /root/.gnupg
 
@@ -62,6 +64,9 @@ if [[ "${TARGETARCH}" == "amd64" ]]; then
     apt-get -qq install --no-install-recommends --no-install-suggests -y \
         intel-opencl-icd \
         mesa-va-drivers libva-drm2 intel-media-va-driver-non-free i965-va-driver libmfx1 radeontop intel-gpu-tools
+    # something about this dependency requires it to be installed in a separate call rather than in the line above
+    apt-get -qq install --no-install-recommends --no-install-suggests -y \
+        i965-va-driver-shaders
     rm -f /etc/apt/sources.list.d/debian-testing.list
 fi
 

docker/install_s6_overlay.sh

@@ -2,7 +2,7 @@
 
 set -euxo pipefail
 
-s6_version="3.1.2.1"
+s6_version="3.1.4.1"
 
 if [[ "${TARGETARCH}" == "amd64" ]]; then
     s6_arch="x86_64"

docker/rootfs/etc/s6-overlay/s6-rc.d/frigate-log/consumer-for

@@ -0,0 +1 @@
+frigate

docker/rootfs/etc/s6-overlay/s6-rc.d/frigate-log/pipeline-name

@@ -0,0 +1 @@
+frigate-pipeline

docker/rootfs/etc/s6-overlay/s6-rc.d/frigate-log/type

@@ -0,0 +1 @@
+longrun

docker/rootfs/etc/s6-overlay/s6-rc.d/frigate/finish

@@ -0,0 +1,28 @@
+#!/command/with-contenv bash
+# shellcheck shell=bash
+# Take down the S6 supervision tree when the service exits
+
+set -o errexit -o nounset -o pipefail
+
+# Logs should be sent to stdout so that s6 can collect them
+
+declare exit_code_container
+exit_code_container=$(cat /run/s6-linux-init-container-results/exitcode)
+readonly exit_code_container
+readonly exit_code_service="${1}"
+readonly exit_code_signal="${2}"
+readonly service="Frigate"
+
+echo "[INFO] Service ${service} exited with code ${exit_code_service} (by signal ${exit_code_signal})"
+
+if [[ "${exit_code_service}" -eq 256 ]]; then
+  if [[ "${exit_code_container}" -eq 0 ]]; then
+    echo $((128 + exit_code_signal)) >/run/s6-linux-init-container-results/exitcode
+  fi
+elif [[ "${exit_code_service}" -ne 0 ]]; then
+  if [[ "${exit_code_container}" -eq 0 ]]; then
+    echo "${exit_code_service}" >/run/s6-linux-init-container-results/exitcode
+  fi
+fi
+
+exec /run/s6/basedir/bin/halt

docker/rootfs/etc/s6-overlay/s6-rc.d/frigate/producer-for

@@ -0,0 +1 @@
+frigate-log

docker/rootfs/etc/s6-overlay/s6-rc.d/frigate/run

@@ -4,7 +4,14 @@
 
 set -o errexit -o nounset -o pipefail
 
-cd /opt/frigate
+# Logs should be sent to stdout so that s6 can collect them
+
+# Tell S6-Overlay not to restart this service
+s6-svc -O .
+
+echo "[INFO] Starting Frigate..."
+
+cd /opt/frigate || echo "[ERROR] Failed to change working directory to /opt/frigate"
 
 # Replace the bash process with the Frigate process, redirecting stderr to stdout
 exec 2>&1

docker/rootfs/etc/s6-overlay/s6-rc.d/frigate/timeout-kill

@@ -0,0 +1 @@
+120000

docker/rootfs/etc/s6-overlay/s6-rc.d/frigate/type

@@ -0,0 +1 @@
+longrun

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc-healthcheck/finish

@@ -0,0 +1,12 @@
+#!/command/with-contenv bash
+# shellcheck shell=bash
+
+set -o errexit -o nounset -o pipefail
+
+# Logs should be sent to stdout so that s6 can collect them
+
+readonly exit_code_service="${1}"
+readonly exit_code_signal="${2}"
+readonly service="go2rtc-healthcheck"
+
+echo "[INFO] The ${service} service exited with code ${exit_code_service} (by signal ${exit_code_signal})"

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc-healthcheck/producer-for

@@ -0,0 +1 @@
+go2rtc-log

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc-healthcheck/run

@@ -0,0 +1,22 @@
+#!/command/with-contenv bash
+# shellcheck shell=bash
+# Start the go2rtc-healthcheck service
+
+set -o errexit -o nounset -o pipefail
+
+# Logs should be sent to stdout so that s6 can collect them
+
+# Give some additional time for go2rtc to start before start pinging
+sleep 10s
+echo "[INFO] Starting go2rtc healthcheck service..."
+
+while sleep 30s; do
+    # Check if the service is running
+    if ! curl --connect-timeout 10 --fail --silent --show-error --output /dev/null http://127.0.0.1:1984/api/streams 2>&1; then
+        echo "[ERROR] The go2rtc service is not responding to ping, restarting..."
+        # We can also use -r instead of -t to send kill signal rather than term
+        s6-svc -t /var/run/service/go2rtc 2>&1
+        # Give some additional time to go2rtc to restart before start pinging again
+        sleep 10s
+    fi
+done

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc-healthcheck/timeout-kill

@@ -0,0 +1 @@
+5000

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc-healthcheck/type

@@ -0,0 +1 @@
+longrun

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc-log/consumer-for

@@ -0,0 +1,2 @@
+go2rtc
+go2rtc-healthcheck

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc-log/pipeline-name

@@ -0,0 +1 @@
+go2rtc-pipeline

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc-log/type

@@ -0,0 +1 @@
+longrun

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/finish

@@ -0,0 +1,12 @@
+#!/command/with-contenv bash
+# shellcheck shell=bash
+
+set -o errexit -o nounset -o pipefail
+
+# Logs should be sent to stdout so that s6 can collect them
+
+readonly exit_code_service="${1}"
+readonly exit_code_signal="${2}"
+readonly service="go2rtc"
+
+echo "[INFO] The ${service} service exited with code ${exit_code_service} (by signal ${exit_code_signal})"

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/producer-for

@@ -0,0 +1 @@
+go2rtc-log

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/run

@@ -0,0 +1,61 @@
+#!/command/with-contenv bash
+# shellcheck shell=bash
+# Start the go2rtc service
+
+set -o errexit -o nounset -o pipefail
+
+# Logs should be sent to stdout so that s6 can collect them
+
+function get_ip_and_port_from_supervisor() {
+    local ip_address
+    # Example: 192.168.1.10/24
+    local ip_regex='^([0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3})/[0-9]{1,2}$'
+    if ip_address=$(
+        curl -fsSL \
+            -H "Authorization: Bearer ${SUPERVISOR_TOKEN}" \
+            -H "Content-Type: application/json" \
+            http://supervisor/network/interface/default/info |
+            jq --exit-status --raw-output '.data.ipv4.address[0]'
+    ) && [[ "${ip_address}" =~ ${ip_regex} ]]; then
+        ip_address="${BASH_REMATCH[1]}"
+        echo "[INFO] Got IP address from supervisor: ${ip_address}"
+    else
+        echo "[WARN] Failed to get IP address from supervisor"
+        return 0
+    fi
+
+    local webrtc_port
+    local port_regex='^([0-9]{1,5})$'
+    if webrtc_port=$(
+        curl -fsSL \
+            -H "Authorization: Bearer ${SUPERVISOR_TOKEN}" \
+            -H "Content-Type: application/json" \
+            http://supervisor/addons/self/info |
+            jq --exit-status --raw-output '.data.network["8555/tcp"]'
+    ) && [[ "${webrtc_port}" =~ ${port_regex} ]]; then
+        webrtc_port="${BASH_REMATCH[1]}"
+        echo "[INFO] Got WebRTC port from supervisor: ${webrtc_port}"
+    else
+        echo "[WARN] Failed to get WebRTC port from supervisor"
+        return 0
+    fi
+
+    export FRIGATE_GO2RTC_WEBRTC_CANDIDATE_INTERNAL="${ip_address}:${webrtc_port}"
+}
+
+if [[ ! -f "/dev/shm/go2rtc.yaml" ]]; then
+    echo "[INFO] Preparing go2rtc config..."
+
+    if [[ -n "${SUPERVISOR_TOKEN:-}" ]]; then
+        # Running as a Home Assistant add-on, infer the IP address and port
+        get_ip_and_port_from_supervisor
+    fi
+
+    python3 /usr/local/go2rtc/create_config.py
+fi
+
+echo "[INFO] Starting go2rtc..."
+
+# Replace the bash process with the go2rtc process, redirecting stderr to stdout
+exec 2>&1
+exec go2rtc -config=/dev/shm/go2rtc.yaml

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/timeout-kill

@@ -0,0 +1 @@
+30000

docker/rootfs/etc/s6-overlay/s6-rc.d/go2rtc/type

@@ -0,0 +1 @@
+longrun

docker/rootfs/etc/s6-overlay/s6-rc.d/log-prepare/type

@@ -0,0 +1 @@
+oneshot

docker/rootfs/etc/s6-overlay/s6-rc.d/log-prepare/up

@@ -0,0 +1 @@
+/etc/s6-overlay/s6-rc.d/log-prepare/run

docker/rootfs/etc/s6-overlay/s6-rc.d/nginx-log/consumer-for

@@ -0,0 +1 @@
+nginx

docker/rootfs/etc/s6-overlay/s6-rc.d/nginx-log/pipeline-name

@@ -0,0 +1 @@
+nginx-pipeline

docker/rootfs/etc/s6-overlay/s6-rc.d/nginx-log/type

@@ -0,0 +1 @@
+longrun

docker/rootfs/etc/s6-overlay/s6-rc.d/nginx/finish

@@ -0,0 +1,30 @@
+#!/command/with-contenv bash
+# shellcheck shell=bash
+# Take down the S6 supervision tree when the service fails
+
+set -o errexit -o nounset -o pipefail
+
+# Logs should be sent to stdout so that s6 can collect them
+
+declare exit_code_container
+exit_code_container=$(cat /run/s6-linux-init-container-results/exitcode)
+readonly exit_code_container
+readonly exit_code_service="${1}"
+readonly exit_code_signal="${2}"
+readonly service="NGINX"
+
+echo "[INFO] Service ${service} exited with code ${exit_code_service} (by signal ${exit_code_signal})"
+
+if [[ "${exit_code_service}" -eq 256 ]]; then
+  if [[ "${exit_code_container}" -eq 0 ]]; then
+    echo $((128 + exit_code_signal)) >/run/s6-linux-init-container-results/exitcode
+  fi
+  if [[ "${exit_code_signal}" -eq 15 ]]; then
+    exec /run/s6/basedir/bin/halt
+  fi
+elif [[ "${exit_code_service}" -ne 0 ]]; then
+  if [[ "${exit_code_container}" -eq 0 ]]; then
+    echo "${exit_code_service}" >/run/s6-linux-init-container-results/exitcode
+  fi
+  exec /run/s6/basedir/bin/halt
+fi

docker/rootfs/etc/s6-overlay/s6-rc.d/nginx/producer-for

@@ -0,0 +1 @@
+nginx-log

docker/rootfs/etc/s6-overlay/s6-rc.d/nginx/run

@@ -2,6 +2,12 @@
 # shellcheck shell=bash
 # Start the NGINX service
 
+set -o errexit -o nounset -o pipefail
+
+# Logs should be sent to stdout so that s6 can collect them
+
+echo "[INFO] Starting NGINX..."
+
 # Replace the bash process with the NGINX process, redirecting stderr to stdout
 exec 2>&1
 exec nginx

docker/rootfs/etc/s6-overlay/s6-rc.d/nginx/timeout-kill

@@ -0,0 +1 @@
+30000

docker/rootfs/etc/s6-overlay/s6-rc.d/nginx/type

@@ -0,0 +1 @@
+longrun

docker/rootfs/etc/services.d/frigate/finish

@@ -1,16 +0,0 @@
-#!/command/with-contenv bash
-# shellcheck shell=bash
-# Take down the S6 supervision tree when the service exits
-
-set -o errexit -o nounset -o pipefail
-
-# Prepare exit code
-if [[ "${1}" -eq 256 ]]; then
-  exit_code="$((128 + ${2}))"
-else
-  exit_code="${1}"
-fi
-
-# Make the container exit with the same exit code as the service
-echo "${exit_code}" > /run/s6-linux-init-container-results/exitcode
-exec /run/s6/basedir/bin/halt

docker/rootfs/etc/services.d/go2rtc/finish

@@ -1,8 +0,0 @@
-#!/command/with-contenv bash
-# shellcheck shell=bash
-# Take down the S6 supervision tree when the service fails, or restart it
-# otherwise
-
-if [[ "${1}" -ne 0 && "${1}" -ne 256 ]]; then
-  exec /run/s6/basedir/bin/halt
-fi

docker/rootfs/etc/services.d/go2rtc/run

@@ -1,11 +0,0 @@
-#!/command/with-contenv bash
-# shellcheck shell=bash
-# Start the go2rtc service
-
-set -o errexit -o nounset -o pipefail
-
-raw_config=$(python3 /usr/local/go2rtc/create_config.py)
-
-# Replace the bash process with the go2rtc process, redirecting stderr to stdout
-exec 2>&1
-exec go2rtc -config="${raw_config}"

docker/rootfs/etc/services.d/nginx/finish

@@ -1,8 +0,0 @@
-#!/command/with-contenv bash
-# shellcheck shell=bash
-# Take down the S6 supervision tree when the service fails, or restart it
-# otherwise
-
-if [[ "${1}" -ne 0 && "${1}" -ne 256 ]]; then
-  exec /run/s6/basedir/bin/halt
-fi

docker/rootfs/usr/local/bin/frigate

@@ -1,5 +0,0 @@
-#!/command/with-contenv bash
-# shellcheck shell=bash
-
-exec 2>&1
-exec python3 -u -m frigate "${@}"

docker/rootfs/usr/local/go2rtc/create_config.py

@@ -2,9 +2,17 @@
 
 import json
 import os
+import sys
 import yaml
 
+sys.path.insert(0, "/opt/frigate")
+from frigate.const import BIRDSEYE_PIPE, BTBN_PATH
+from frigate.ffmpeg_presets import parse_preset_hardware_acceleration_encode
 
+sys.path.remove("/opt/frigate")
+
+
+FRIGATE_ENV_VARS = {k: v for k, v in os.environ.items() if k.startswith("FRIGATE_")}
 config_file = os.environ.get("CONFIG_FILE", "/config/config.yml")
 
 # Check if we can use .yaml instead of .yml
@@ -16,16 +24,83 @@ with open(config_file) as f:
     raw_config = f.read()
 
 if config_file.endswith((".yaml", ".yml")):
-    config = yaml.safe_load(raw_config)
+    config: dict[str, any] = yaml.safe_load(raw_config)
 elif config_file.endswith(".json"):
-    config = json.loads(raw_config)
+    config: dict[str, any] = json.loads(raw_config)
 
-go2rtc_config: dict[str, any] = config["go2rtc"]
+go2rtc_config: dict[str, any] = config.get("go2rtc", {})
 
-if not go2rtc_config.get("log", {}).get("format"):
+# Need to enable CORS for go2rtc so the frigate integration / card work automatically
+if go2rtc_config.get("api") is None:
+    go2rtc_config["api"] = {"origin": "*"}
+elif go2rtc_config["api"].get("origin") is None:
+    go2rtc_config["api"]["origin"] = "*"
+
+# we want to ensure that logs are easy to read
+if go2rtc_config.get("log") is None:
     go2rtc_config["log"] = {"format": "text"}
+elif go2rtc_config["log"].get("format") is None:
+    go2rtc_config["log"]["format"] = "text"
 
 if not go2rtc_config.get("webrtc", {}).get("candidates", []):
-    go2rtc_config["webrtc"] = {"candidates": ["stun:8555"]}
+    default_candidates = []
+    # use internal candidate if it was discovered when running through the add-on
+    internal_candidate = os.environ.get(
+        "FRIGATE_GO2RTC_WEBRTC_CANDIDATE_INTERNAL", None
+    )
+    if internal_candidate is not None:
+        default_candidates.append(internal_candidate)
+    # should set default stun server so webrtc can work
+    default_candidates.append("stun:8555")
 
-print(json.dumps(go2rtc_config))
+    go2rtc_config["webrtc"] = {"candidates": default_candidates}
+else:
+    print(
+        "[INFO] Not injecting WebRTC candidates into go2rtc config as it has been set manually",
+    )
+
+# sets default RTSP response to be equivalent to ?video=h264,h265&audio=aac
+# this means user does not need to specify audio codec when using restream
+# as source for frigate and the integration supports HLS playback
+if go2rtc_config.get("rtsp") is None:
+    go2rtc_config["rtsp"] = {"default_query": "mp4"}
+elif go2rtc_config["rtsp"].get("default_query") is None:
+    go2rtc_config["rtsp"]["default_query"] = "mp4"
+
+# need to replace ffmpeg command when using ffmpeg4
+if not os.path.exists(BTBN_PATH):
+    if go2rtc_config.get("ffmpeg") is None:
+        go2rtc_config["ffmpeg"] = {
+            "rtsp": "-fflags nobuffer -flags low_delay -stimeout 5000000 -user_agent go2rtc/ffmpeg -rtsp_transport tcp -i {input}"
+        }
+    elif go2rtc_config["ffmpeg"].get("rtsp") is None:
+        go2rtc_config["ffmpeg"][
+            "rtsp"
+        ] = "-fflags nobuffer -flags low_delay -stimeout 5000000 -user_agent go2rtc/ffmpeg -rtsp_transport tcp -i {input}"
+
+for name in go2rtc_config.get("streams", {}):
+    stream = go2rtc_config["streams"][name]
+
+    if isinstance(stream, str):
+        go2rtc_config["streams"][name] = go2rtc_config["streams"][name].format(
+            **FRIGATE_ENV_VARS
+        )
+    elif isinstance(stream, list):
+        for i, stream in enumerate(stream):
+            go2rtc_config["streams"][name][i] = stream.format(**FRIGATE_ENV_VARS)
+
+# add birdseye restream stream if enabled
+if config.get("birdseye", {}).get("restream", False):
+    birdseye: dict[str, any] = config.get("birdseye")
+
+    input = f"-f rawvideo -pix_fmt yuv420p -video_size {birdseye.get('width', 1280)}x{birdseye.get('height', 720)} -r 10 -i {BIRDSEYE_PIPE}"
+    ffmpeg_cmd = f"exec:{parse_preset_hardware_acceleration_encode(config.get('ffmpeg', {}).get('hwaccel_args'), input, '-rtsp_transport tcp -f rtsp {output}')}"
+
+    if go2rtc_config.get("streams"):
+        go2rtc_config["streams"]["birdseye"] = ffmpeg_cmd
+    else:
+        go2rtc_config["streams"] = {"birdseye": ffmpeg_cmd}
+
+# Write go2rtc_config to /dev/shm/go2rtc.yaml
+with open("/dev/shm/go2rtc.yaml", "w") as f:
+    yaml.dump(go2rtc_config, f)

docs/docs/configuration/camera_specific.md

@@ -106,31 +106,37 @@ If available, recommended settings are:
 According to [this discussion](https://github.com/blakeblackshear/frigate/issues/3235#issuecomment-1135876973), the http video streams seem to be the most reliable for Reolink.
 
 ```yaml
+go2rtc:
+  streams:
+    reolink: 
+      - http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=username&password=password
+      - ffmpeg:reolink#audio=opus
+    reolink_sub: 
+      - http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=username&password=password
+
 cameras:
   reolink:
     ffmpeg:
-      input_args: preset-http-reolink
       inputs:
-        - path: http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=username&password=password
+        - path: rtsp://127.0.0.1:8554/reolink?video=copy&audio=aac
+          input_args: preset-rtsp-restream
           roles:
             - record
-            - rtmp
-        - path: http://reolink_ip/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=username&password=password
+        - path: rtsp://127.0.0.1:8554/reolink_sub?video=copy
+          input_args: preset-rtsp-restream
           roles:
             - detect
-    detect:
-      width: 896
-      height: 672
-      fps: 7
 ```
 
 ### Unifi Protect Cameras
 
-In the Unifi 2.0 update Unifi Protect Cameras had a change in audio sample rate which causes issues for ffmpeg. The input rate needs to be set for record and rtmp.
+Unifi protect cameras require the rtspx stream to be used with go2rtc https://github.com/AlexxIT/go2rtc/tree/v1.2.0#source-rtsp
+
+In the Unifi 2.0 update Unifi Protect Cameras had a change in audio sample rate which causes issues for ffmpeg. The input rate needs to be set for record and rtmp if used directly with unifi protect.
 
 ```yaml
 ffmpeg:
   output_args:
     record: preset-record-ubiquiti
-    rtmp: preset-rtmp-ubiquiti
+    rtmp: preset-rtmp-ubiquiti # recommend using go2rtc instead
 ```

docs/docs/configuration/detectors.md

@@ -101,7 +101,7 @@ The OpenVINO device to be used is specified using the `"device"` attribute accor
 
 OpenVINO is supported on 6th Gen Intel platforms (Skylake) and newer. A supported Intel platform is required to use the `GPU` device with OpenVINO. The `MYRIAD` device may be run on any platform, including Arm devices. For detailed system requirements, see [OpenVINO System Requirements](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/system-requirements.html)
 
-An OpenVINO model is provided in the container at `/openvino-model/ssdlite_mobilenet_v2.xml` and is used by this detector type by default. The model comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model. Use the model configuration shown below when using the OpenVINO detector.
+An OpenVINO model is provided in the container at `/openvino-model/ssdlite_mobilenet_v2.xml` and is used by this detector type by default. The model comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model. Use the model configuration shown below when using the OpenVINO detector with the default model.
 
 ```yaml
 detectors:
@@ -119,6 +119,25 @@ model:
   labelmap_path: /openvino-model/coco_91cl_bkgr.txt
 ```
 
+This detector also supports some YOLO variants: YOLOX, YOLOv5, and YOLOv8 specifically. Other YOLO variants are not officially supported/tested. Frigate does not come with any yolo models preloaded, so you will need to supply your own models. This detector has been verified to work with the [yolox_tiny](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/yolox-tiny) model from Intel's Open Model Zoo. You can follow [these instructions](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/yolox-tiny#download-a-model-and-convert-it-into-openvino-ir-format) to retrieve the OpenVINO-compatible `yolox_tiny` model. Make sure that the model input dimensions match the `width` and `height` parameters, and `model_type` is set accordingly. See [Full Configuration Reference](/configuration/index.md#full-configuration-reference) for a list of possible `model_type` options. Below is an example of how `yolox_tiny` can be used in Frigate:
+
+```yaml
+detectors:
+  ov:
+    type: openvino
+    device: AUTO
+    model:
+      path: /path/to/yolox_tiny.xml
+
+model:
+  width: 416
+  height: 416
+  input_tensor: nchw
+  input_pixel_format: bgr
+  model_type: yolox
+  labelmap_path: /path/to/coco_80cl.txt
+```
+
 ### Intel NCS2 VPU and Myriad X Setup
 
 Intel produces a neural net inference accelleration chip called Myriad X. This chip was sold in their Neural Compute Stick 2 (NCS2) which has been discontinued. If intending to use the MYRIAD device for accelleration, additional setup is required to pass through the USB device. The host needs a udev rule installed to handle the NCS2 device.
@@ -212,6 +231,10 @@ yolov4x-mish-320
 yolov4x-mish-640
 yolov7-tiny-288
 yolov7-tiny-416
+yolov7-640
+yolov7-320
+yolov7x-640
+yolov7x-320
 ```
 
 ### Configuration Parameters

docs/docs/configuration/ffmpeg_presets.md

@@ -28,16 +28,17 @@ Input args presets help make the config more readable and handle use cases for d
 
 See [the camera specific docs](/configuration/camera_specific.md) for more info on non-standard cameras and recommendations for using them in Frigate.
 
-| Preset                    | Usage                     | Other Notes                                         |
-| ------------------------- | ------------------------- | --------------------------------------------------- |
-| preset-http-jpeg-generic  | HTTP Live Jpeg            | Recommend restreaming live jpeg instead             |
-| preset-http-mjpeg-generic | HTTP Mjpeg Stream         | Recommend restreaming mjpeg stream instead          |
-| preset-http-reolink       | Reolink HTTP-FLV Stream   | Only for reolink http, not when restreaming as rtsp |
-| preset-rtmp-generic       | RTMP Stream               |                                                     |
-| preset-rtsp-generic       | RTSP Stream               | This is the default when nothing is specified       |
-| preset-rtsp-restream      | RTSP Stream from restream | Use when using rtsp restream as source              |
-| preset-rtsp-udp           | RTSP Stream via UDP       | Use when camera is UDP only                         |
-| preset-rtsp-blue-iris     | Blue Iris RTSP Stream     | Use when consuming a stream from Blue Iris          |
+| Preset                           | Usage                     | Other Notes                                                                                      |
+| -------------------------------- | ------------------------- | ------------------------------------------------------------------------------------------------ |
+| preset-http-jpeg-generic         | HTTP Live Jpeg            | Recommend restreaming live jpeg instead                                                          |
+| preset-http-mjpeg-generic        | HTTP Mjpeg Stream         | Recommend restreaming mjpeg stream instead                                                       |
+| preset-http-reolink              | Reolink HTTP-FLV Stream   | Only for reolink http, not when restreaming as rtsp                                              |
+| preset-rtmp-generic              | RTMP Stream               |                                                                                                  |
+| preset-rtsp-generic              | RTSP Stream               | This is the default when nothing is specified                                                    |
+| preset-rtsp-restream             | RTSP Stream from restream | Use for rtsp restream as source for frigate                                                      |
+| preset-rtsp-restream-low-latency | RTSP Stream from restream | Use for rtsp restream as source for frigate to lower latency, may cause issues with some cameras |
+| preset-rtsp-udp                  | RTSP Stream via UDP       | Use when camera is UDP only                                                                      |
+| preset-rtsp-blue-iris            | Blue Iris RTSP Stream     | Use when consuming a stream from Blue Iris                                                       |
 
 :::caution
 
@@ -46,21 +47,22 @@ It is important to be mindful of input args when using restream because you can
 :::
 
 ```yaml
+go2rtc:
+  streams:
+    reolink_cam: http://192.168.0.139/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=admin&password=password
+
 cameras:
   reolink_cam:
     ffmpeg:
       inputs:
-        - path: http://192.168.0.139/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=admin&password={FRIGATE_CAM_PASSWORD}
+        - path: http://192.168.0.139/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=admin&password=password
           input_args: preset-http-reolink
           roles:
             - detect
-        - path: rtsp://192.168.0.10:8554/garage
+        - path: rtsp://127.0.0.1:8554/reolink_cam
           input_args: preset-rtsp-generic
           roles:
             - record
-        - path: http://192.168.0.139/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=admin&password={FRIGATE_CAM_PASSWORD}
-          roles:
-            - restream
 ```
 
 ### Output Args Presets

docs/docs/configuration/hardware_acceleration.md

@@ -7,12 +7,6 @@ It is recommended to update your configuration to enable hardware accelerated de
 
 ### Raspberry Pi 3/4
 
-:::caution
-
-There is currently a bug in ffmpeg that causes hwaccel to not work for the RPi kernel 5.15.61 and above. For more information see https://github.com/blakeblackshear/frigate/issues/3780
-
-:::
-
 Ensure you increase the allocated RAM for your GPU to at least 128 (raspi-config > Performance Options > GPU Memory).
 **NOTICE**: If you are using the addon, you may need to turn off `Protection mode` for hardware acceleration.
 
@@ -21,23 +15,39 @@ ffmpeg:
   hwaccel_args: preset-rpi-64-h264
 ```
 
-### Intel-based CPUs (<10th Generation) via Quicksync
+### Intel-based CPUs (<10th Generation) via VAAPI
+
+VAAPI supports automatic profile selection so it will work automatically with both H.264 and H.265 streams. VAAPI is recommended for all generations of Intel-based CPUs if QSV does not work.
 
 ```yaml
 ffmpeg:
   hwaccel_args: preset-vaapi
 ```
+
 **NOTICE**: With some of the processors, like the J4125, the default driver `iHD` doesn't seem to work correctly for hardware acceleration. You may need to change the driver to `i965` by adding the following environment variable `LIBVA_DRIVER_NAME=i965` to your docker-compose file or [in the frigate.yml for HA OS users](advanced.md#environment_vars).
 
 ### Intel-based CPUs (>=10th Generation) via Quicksync
 
+QSV must be set specifically based on the video encoding of the stream.
+
+#### H.264 streams
+
 ```yaml
 ffmpeg:
   hwaccel_args: preset-intel-qsv-h264
 ```
 
+#### H.265 streams
+
+```yaml
+ffmpeg:
+  hwaccel_args: preset-intel-qsv-h265
+```
+
 ### AMD/ATI GPUs (Radeon HD 2000 and newer GPUs) via libva-mesa-driver
 
+VAAPI supports automatic profile selection so it will work automatically with both H.264 and H.265 streams.
+
 **Note:** You also need to set `LIBVA_DRIVER_NAME=radeonsi` as an environment variable on the container.
 
 ```yaml
@@ -45,14 +55,20 @@ ffmpeg:
   hwaccel_args: preset-vaapi
 ```
 
-### NVIDIA GPU
+### NVIDIA GPUs
 
-[Supported Nvidia GPUs for Decoding](https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new)
+While older GPUs may work, it is recommended to use modern, supported GPUs. NVIDIA provides a [matrix of supported GPUs and features](https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new). If your card is on the list and supports CUVID/NVDEC, it will most likely work with Frigate for decoding. However, you must also use [a driver version that will work with FFmpeg](https://github.com/FFmpeg/nv-codec-headers/blob/master/README). Older driver versions may be missing symbols and fail to work, and older cards are not supported by newer driver versions. The only way around this is to [provide your own FFmpeg](/configuration/advanced#custom-ffmpeg-build) that will work with your driver version, but this is unsupported and may not work well if at all.
 
-These instructions are based on the [jellyfin documentation](https://jellyfin.org/docs/general/administration/hardware-acceleration.html#nvidia-hardware-acceleration-on-docker-linux)
+A more complete list of cards and ther compatible drivers is available in the [driver release readme](https://download.nvidia.com/XFree86/Linux-x86_64/525.85.05/README/supportedchips.html).
+
+If your distribution does not offer NVIDIA driver packages, you can [download them here](https://www.nvidia.com/en-us/drivers/unix/).
+
+#### Docker Configuration
+
+Additional configuration is needed for the Docker container to be able to access the NVIDIA GPU. The supported method for this is to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker) and specify the GPU to Docker. How you do this depends on how Docker is being run:
+
+##### Docker Compose
 
-Add `--gpus all` to your docker run command or update your compose file.
-If you have multiple Nvidia graphic card, you can add them with their ids obtained via `nvidia-smi` command
 ```yaml
 services:
   frigate:
@@ -68,11 +84,23 @@ services:
               capabilities: [gpu]
 ```
 
+##### Docker Run CLI
+
+```bash
+docker run -d \
+  --name frigate \
+  ...
+  --gpus=all \
+  ghcr.io/blakeblackshear/frigate:stable
+```
+
+#### Setup Decoder
+
 The decoder you need to pass in the `hwaccel_args` 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)
+A list of supported codecs (you can use `ffmpeg -decoders | grep cuvid` in the container to get the ones your card supports)
 
-```shell
+```
  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)
@@ -93,12 +121,12 @@ ffmpeg:
 ```
 
 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
+Verify that hardware decoding is working by running `nvidia-smi`, which should show `ffmpeg`
 processes:
 
 :::note
 
-nvidia-smi may not show ffmpeg processes when run inside the container [due to docker limitations](https://github.com/NVIDIA/nvidia-docker/issues/179#issuecomment-645579458)
+`nvidia-smi` may not show `ffmpeg` processes when run inside the container [due to docker limitations](https://github.com/NVIDIA/nvidia-docker/issues/179#issuecomment-645579458).
 
 :::
 
@@ -129,3 +157,7 @@ nvidia-smi may not show ffmpeg processes when run inside the container [due to d
 |    0   N/A  N/A     12827      C   ffmpeg                            417MiB |
 +-----------------------------------------------------------------------------+
 ```
+
+If you do not see these processes, check the `docker logs` for the container and look for decoding errors.
+
+These instructions were originally based on the [Jellyfin documentation](https://jellyfin.org/docs/general/administration/hardware-acceleration.html#nvidia-hardware-acceleration-on-docker-linux).

docs/docs/configuration/index.md

@@ -3,7 +3,7 @@ id: index
 title: Configuration File
 ---
 
-For Home Assistant Addon installations, the config file needs to be in the root of your Home Assistant config directory (same location as `configuration.yaml`) and named `frigate.yml`.
+For Home Assistant Addon installations, the config file needs to be in the root of your Home Assistant config directory (same location as `configuration.yaml`). It can be named `frigate.yml` or `frigate.yaml`, but if both files exist `frigate.yaml` will be preferred and `frigate.yml` will be ignored.
 
 For all other installation types, the config file should be mapped to `/config/config.yml` inside the container.
 
@@ -19,7 +19,6 @@ cameras:
         - path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
           roles:
             - detect
-            - restream
     detect:
       width: 1280
       height: 720
@@ -37,6 +36,25 @@ It is not recommended to copy this full configuration file. Only specify values
 
 :::
 
+**Note:** The following values will be replaced at runtime by using environment variables
+
+- `{FRIGATE_MQTT_USER}`
+- `{FRIGATE_MQTT_PASSWORD}`
+- `{FRIGATE_RTSP_USER}`
+- `{FRIGATE_RTSP_PASSWORD}`
+
+for example:
+
+```yaml
+mqtt:
+  user: "{FRIGATE_MQTT_USER}"
+  password: "{FRIGATE_MQTT_PASSWORD}"
+```
+
+```yaml
+- path: rtsp://{FRIGATE_RTSP_USER}:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:8554/unicast
+```
+
 ```yaml
 mqtt:
   # Optional: Enable mqtt server (default: shown below)
@@ -105,6 +123,9 @@ model:
   # Optional: Object detection model input tensor format
   # Valid values are nhwc or nchw (default: shown below)
   input_tensor: nhwc
+  # Optional: Object detection model type, currently only used with the OpenVINO detector
+  # Valid values are ssd, yolox, yolov5, or yolov8 (default: shown below)
+  model_type: ssd
   # Optional: Label name modifications. These are merged into the standard labelmap.
   labelmap:
     2: vehicle
@@ -146,7 +167,7 @@ birdseye:
 # More information about presets at https://docs.frigate.video/configuration/ffmpeg_presets
 ffmpeg:
   # Optional: global ffmpeg args (default: shown below)
-  global_args: -hide_banner -loglevel warning
+  global_args: -hide_banner -loglevel warning -threads 2
   # Optional: global hwaccel args (default: shown below)
   # NOTE: See hardware acceleration docs for your specific device
   hwaccel_args: []
@@ -155,7 +176,7 @@ ffmpeg:
   # Optional: global output args
   output_args:
     # Optional: output args for detect streams (default: shown below)
-    detect: -f rawvideo -pix_fmt yuv420p
+    detect: -threads 2 -f rawvideo -pix_fmt yuv420p
     # Optional: output args for record streams (default: shown below)
     record: preset-record-generic
     # Optional: output args for rtmp streams (default: shown below)
@@ -172,7 +193,6 @@ detect:
   # NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
   fps: 5
   # Optional: enables detection for the camera (default: True)
-  # This value can be set via MQTT and will be updated in startup based on retained value
   enabled: True
   # Optional: Number of frames without a detection before Frigate considers an object to be gone. (default: 5x the frame rate)
   max_disappeared: 25
@@ -271,11 +291,6 @@ record:
   # Optional: Enable recording (default: shown below)
   # WARNING: If recording is disabled in the config, turning it on via
   #          the UI or MQTT later will have no effect.
-  # WARNING: Frigate does not currently support limiting recordings based
-  #          on available disk space automatically. If using recordings,
-  #          you must specify retention settings for a number of days that
-  #          will fit within the available disk space of your drive or Frigate
-  #          will crash.
   enabled: False
   # Optional: Number of minutes to wait between cleanup runs (default: shown below)
   # This can be used to reduce the frequency of deleting recording segments from disk if you want to minimize i/o
@@ -325,7 +340,6 @@ record:
 # NOTE: Can be overridden at the camera level
 snapshots:
   # Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
-  # This value can be set via MQTT and will be updated in startup based on retained value
   enabled: False
   # Optional: save a clean PNG copy of the snapshot image (default: shown below)
   clean_copy: True
@@ -355,7 +369,7 @@ rtmp:
   enabled: False
 
 # Optional: Restream configuration
-# Uses https://github.com/AlexxIT/go2rtc (v0.1-rc9)
+# Uses https://github.com/AlexxIT/go2rtc (v1.2.0)
 go2rtc:
 
 # Optional: jsmpeg stream configuration for WebUI
@@ -410,12 +424,12 @@ cameras:
         # Required: the path to the stream
         # NOTE: path may include environment variables, which must begin with 'FRIGATE_' and be referenced in {}
         - path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
-          # Required: list of roles for this stream. valid values are: detect,record,restream,rtmp
-          # NOTICE: In addition to assigning the record, restream, and rtmp roles,
+          # Required: list of roles for this stream. valid values are: detect,record,rtmp
+          # NOTICE: In addition to assigning the record and rtmp roles,
           # they must also be enabled in the camera config.
           roles:
             - detect
-            - restream
+            - record
             - rtmp
           # Optional: stream specific global args (default: inherit)
           # global_args:
@@ -490,5 +504,34 @@ ui:
   # Optional: Set a timezone to use in the UI (default: use browser local time)
   timezone: None
   # Optional: Use an experimental recordings / camera view UI (default: shown below)
-  experimental_ui: False
+  use_experimental: False
+  # Optional: Set the time format used.
+  # Options are browser, 12hour, or 24hour (default: shown below)
+  time_format: browser
+  # Optional: Set the date style for a specified length.
+  # Options are: full, long, medium, short
+  # Examples:
+  #    short: 2/11/23
+  #    medium: Feb 11, 2023
+  #    full: Saturday, February 11, 2023
+  # (default: shown below).
+  date_style: short
+  # Optional: Set the time style for a specified length.
+  # Options are: full, long, medium, short
+  # Examples:
+  #    short: 8:14 PM
+  #    medium: 8:15:22 PM
+  #    full: 8:15:22 PM Mountain Standard Time
+  # (default: shown below).
+  time_style: medium
+  # Optional: Ability to manually override the date / time styling to use strftime format
+  # https://www.gnu.org/software/libc/manual/html_node/Formatting-Calendar-Time.html
+  # possible values are shown above (default: not set)
+  strftime_fmt: "%Y/%m/%d %H:%M"
+
+# Optional: Telemetry configuration
+telemetry:
+  # Optional: Enable the latest version outbound check (default: shown below)
+  # NOTE: If you use the HomeAssistant integration, disabling this will prevent it from reporting new versions
+  version_check: True
 ```

docs/docs/configuration/live.md

@@ -3,44 +3,31 @@ id: live
 title: Live View
 ---
 
-Frigate has different live view options, some of which require [restream](restream.md) to be enabled.
+Frigate has different live view options, some of which require the bundled `go2rtc` to be configured as shown in the [step by step guide](/guides/configuring_go2rtc).
 
 ## Live View Options
 
 Live view options can be selected while viewing the live stream. The options are:
 
-| Source | Latency | Frame Rate                            | Resolution     | Audio                        | Requires Restream | Other Limitations                            |
-| ------ | ------- | ------------------------------------- | -------------- | ---------------------------- | ----------------- | -------------------------------------------- |
-| jsmpeg | low     | same as `detect -> fps`, capped at 10 | same as detect | no                           | no                | none                                         |
-| mse    | low     | native                                | native         | yes (depends on audio codec) | yes               | not supported on iOS, Firefox is h.264 only  |
-| webrtc | lowest  | native                                | native         | yes (depends on audio codec) | yes               | requires extra config, doesn't support h.265 |
+| Source | Latency | Frame Rate                            | Resolution     | Audio                        | Requires go2rtc | Other Limitations                            |
+| ------ | ------- | ------------------------------------- | -------------- | ---------------------------- | --------------- | -------------------------------------------- |
+| jsmpeg | low     | same as `detect -> fps`, capped at 10 | same as detect | no                           | no              | none                                         |
+| mse    | low     | native                                | native         | yes (depends on audio codec) | yes             | not supported on iOS, Firefox is h.264 only  |
+| webrtc | lowest  | native                                | native         | yes (depends on audio codec) | yes             | requires extra config, doesn't support h.265 |
 
 ### Audio Support
 
-MSE Requires AAC audio, WebRTC requires PCMU/PCMA, or opus audio. If you want to support both MSE and WebRTC then your restream config needs to use ffmpeg to set both.
+MSE Requires AAC audio, WebRTC requires PCMU/PCMA, or opus audio. If you want to support both MSE and WebRTC then your restream config needs to make sure both are enabled.
 
 ```yaml
 go2rtc:
   streams:
-    test_cam: ffmpeg:rtsp://192.168.1.5:554/live0#video=copy#audio=aac#audio=opus
-```
-
-However, chances are that your camera already provides at least one usable audio type, so you just need restream to add the missing one. For example, if your camera outputs audio in AAC format:
-
-```yaml
-go2rtc:
-  streams:
-    test_cam: ffmpeg:rtsp://192.168.1.5:554/live0#video=copy#audio=copy#audio=opus
-```
-
-Which will reuse your camera AAC audio, while also adding one track in OPUS format.
-
-If your camera uses RTSP and supports the audio type for the live view you want to use, then you can pass the camera stream to go2rtc without ffmpeg.
-
-```yaml
-go2rtc:
-  streams:
-    test_cam: rtsp://192.168.1.5:554/live0
+    rtsp_cam: # <- for RTSP streams
+      - rtsp://192.168.1.5:554/live0 # <- stream which supports video & aac audio
+      - "ffmpeg:rtsp_cam#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
+    http_cam: # <- for http streams
+      - http://192.168.50.155/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=user&password=password # <- stream which supports video & aac audio
+      - "ffmpeg:http_cam#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
 ```
 
 ### Setting Stream For Live UI
@@ -50,8 +37,12 @@ There may be some cameras that you would prefer to use the sub stream for live v
 ```yaml
 go2rtc:
   streams:
-    test_cam: ffmpeg:rtsp://192.168.1.5:554/live0#video=copy#audio=aac#audio=opus
-    test_cam_sub: ffmpeg:rtsp://192.168.1.5:554/substream#video=copy#audio=aac#audio=opus
+    rtsp_cam:
+      - rtsp://192.168.1.5:554/live0 # <- stream which supports video & aac audio.
+      - "ffmpeg:rtsp_cam#audio=opus" # <- copy of the stream which transcodes audio to opus
+    rtsp_cam_sub:
+      - rtsp://192.168.1.5:554/substream # <- stream which supports video & aac audio.
+      - "ffmpeg:rtsp_cam_sub#audio=opus" # <- copy of the stream which transcodes audio to opus
 
 cameras:
   test_cam:
@@ -59,16 +50,16 @@ cameras:
       output_args:
         record: preset-record-generic-audio-copy
       inputs:
-        - path: rtsp://127.0.0.1:8554/test_cam?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
+        - path: rtsp://127.0.0.1:8554/test_cam # <--- the name here must match the name of the camera in restream
           input_args: preset-rtsp-restream
           roles:
             - record
-        - path: rtsp://127.0.0.1:8554/test_cam_sub?video=copy # <--- the name here must match the name of the camera_sub in restream
+        - path: rtsp://127.0.0.1:8554/test_cam_sub # <--- the name here must match the name of the camera_sub in restream
           input_args: preset-rtsp-restream
           roles:
             - detect
     live:
-      stream_name: test_cam_sub
+      stream_name: rtsp_cam_sub
 ```
 
 ### WebRTC extra configuration:
@@ -76,19 +67,30 @@ cameras:
 WebRTC works by creating a TCP or UDP connection on port `8555`. However, it requires additional configuration:
 
 - For external access, over the internet, setup your router to forward port `8555` to port `8555` on the Frigate device, for both TCP and UDP.
-- For internal/local access, you will need to use a custom go2rtc config:
+- For internal/local access, unless you are running through the add-on, you will also need to set the WebRTC candidates list in the go2rtc config. For example, if `192.168.1.10` is the local IP of the device running Frigate:
 
-  1. Add your internal IP to the list of `candidates`. Here is an example, assuming that `192.168.1.10` is the local IP of the device running Frigate:
+  ```yaml title="/config/frigate.yaml"
+  go2rtc:
+    streams:
+      test_cam: ...
+    webrtc:
+      candidates:
+        - 192.168.1.10:8555
+        - stun:8555
+  ```
 
-     ```yaml
-     go2rtc:
-       streams:
-         test_cam: ...
-       webrtc:
-         candidates:
-           - 192.168.1.10:8555
-           - stun:8555
-     ```
+:::tip
+
+This extra configuration may not be required if Frigate has been installed as a Home Assistant add-on, as Frigate uses the Supervisor's API to generate a WebRTC candidate.
+
+However, it is recommended if issues occur to define the candidates manually. You should do this if the Frigate add-on fails to generate a valid candidate. If an error occurs you will see some warnings like the below in the add-on logs page during the initialization:
+
+```log
+[WARN] Failed to get IP address from supervisor
+[WARN] Failed to get WebRTC port from supervisor
+```
+
+:::
 
 :::note
 
@@ -99,4 +101,4 @@ If you are having difficulties getting WebRTC to work and you are running Frigat
 
 :::
 
-See https://github.com/AlexxIT/go2rtc#module-webrtc for more information about this.
+See [go2rtc WebRTC docs](https://github.com/AlexxIT/go2rtc/tree/v1.2.0#module-webrtc) for more information about this.

docs/docs/configuration/restream.md

@@ -3,17 +3,38 @@ id: restream
 title: Restream
 ---
 
-### RTSP
+## RTSP
 
 Frigate can restream your video feed as an RTSP feed for other applications such as Home Assistant to utilize it at `rtsp://<frigate_host>:8554/<camera_name>`. Port 8554 must be open. [This allows you to use a video feed for detection in Frigate and Home Assistant live view at the same time without having to make two separate connections to the camera](#reduce-connections-to-camera). The video feed is copied from the original video feed directly to avoid re-encoding. This feed does not include any annotation by Frigate.
 
-Frigate uses [go2rtc](https://github.com/AlexxIT/go2rtc) to provide its restream and MSE/WebRTC capabilities. The go2rtc config is hosted at the `go2rtc` in the config, see [go2rtc docs](https://github.com/AlexxIT/go2rtc#configuration) for more advanced configurations and features.
+Frigate uses [go2rtc](https://github.com/AlexxIT/go2rtc/tree/v1.2.0) to provide its restream and MSE/WebRTC capabilities. The go2rtc config is hosted at the `go2rtc` in the config, see [go2rtc docs](https://github.com/AlexxIT/go2rtc/tree/v1.2.0#configuration) for more advanced configurations and features.
 
-#### Birdseye Restream
+:::note
+
+You can access the go2rtc webUI at `http://frigate_ip:5000/live/webrtc` which can be helpful to debug as well as provide useful information about your camera streams.
+
+:::
+
+### Birdseye Restream
 
 Birdseye RTSP restream can be enabled at `birdseye -> restream` and accessed at `rtsp://<frigate_host>:8554/birdseye`. Enabling the restream will cause birdseye to run 24/7 which may increase CPU usage somewhat.
 
-### RTMP (Deprecated)
+### Securing Restream With Authentication
+
+The go2rtc restream can be secured with RTSP based username / password authentication. Ex:
+
+```yaml
+go2rtc:
+  rtsp:
+    username: "admin"
+    password: "pass"
+  streams:
+    ...
+```
+
+**NOTE:** This does not apply to localhost requests, there is no need to provide credentials when using the restream as a source for frigate cameras.
+
+## RTMP (Deprecated)
 
 In previous Frigate versions RTMP was used for re-streaming. RTMP has disadvantages however including being incompatible with H.265, high bitrates, and certain audio codecs. RTMP is deprecated and it is recommended to move to the new restream role.
 
@@ -28,15 +49,30 @@ One connection is made to the camera. One for the restream, `detect` and `record
 ```yaml
 go2rtc:
   streams:
-    test_cam: ffmpeg:rtsp://192.168.1.5:554/live0#video=copy#audio=aac#audio=opus
+    rtsp_cam: # <- for RTSP streams
+      - rtsp://192.168.1.5:554/live0 # <- stream which supports video & aac audio
+      - "ffmpeg:rtsp_cam#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
+    http_cam: # <- for other streams
+      - http://192.168.50.155/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=user&password=password # <- stream which supports video & aac audio
+      - "ffmpeg:http_cam#audio=opus" # <- copy of the stream which transcodes audio to the missing codec (usually will be opus)
 
 cameras:
-  test_cam:
+  rtsp_cam:
     ffmpeg:
       output_args:
         record: preset-record-generic-audio-copy
       inputs:
-        - path: rtsp://127.0.0.1:8554/test_cam?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
+        - path: rtsp://127.0.0.1:8554/rtsp_cam # <--- the name here must match the name of the camera in restream
+          input_args: preset-rtsp-restream
+          roles:
+            - record
+            - detect
+  http_cam:
+    ffmpeg:
+      output_args:
+        record: preset-record-generic-audio-copy
+      inputs:
+        - path: rtsp://127.0.0.1:8554/http_cam # <--- the name here must match the name of the camera in restream
           input_args: preset-rtsp-restream
           roles:
             - record
@@ -50,21 +86,56 @@ Two connections are made to the camera. One for the sub stream, one for the rest
 ```yaml
 go2rtc:
   streams:
-    test_cam: ffmpeg:rtsp://192.168.1.5:554/live0#video=copy#audio=aac#audio=opus
-    test_cam_sub: ffmpeg:rtsp://192.168.1.5:554/substream#video=copy#audio=aac#audio=opus
+    rtsp_cam: 
+      - rtsp://192.168.1.5:554/live0 # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
+      - "ffmpeg:rtsp_cam#audio=opus" # <- copy of the stream which transcodes audio to opus
+    rtsp_cam_sub:
+      - rtsp://192.168.1.5:554/substream # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
+      - "ffmpeg:rtsp_cam_sub#audio=opus" # <- copy of the stream which transcodes audio to opus
+    http_cam:
+      - http://192.168.50.155/flv?port=1935&app=bcs&stream=channel0_main.bcs&user=user&password=password # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
+      - "ffmpeg:http_cam#audio=opus" # <- copy of the stream which transcodes audio to opus
+    http_cam_sub:
+      - http://192.168.50.155/flv?port=1935&app=bcs&stream=channel0_ext.bcs&user=user&password=password # <- stream which supports video & aac audio. This is only supported for rtsp streams, http must use ffmpeg
+      - "ffmpeg:http_cam_sub#audio=opus" # <- copy of the stream which transcodes audio to opus
 
 cameras:
-  test_cam:
+  rtsp_cam:
     ffmpeg:
       output_args:
         record: preset-record-generic-audio-copy
       inputs:
-        - path: rtsp://127.0.0.1:8554/test_cam?video=copy&audio=aac # <--- the name here must match the name of the camera in restream
+        - path: rtsp://127.0.0.1:8554/rtsp_cam # <--- the name here must match the name of the camera in restream
           input_args: preset-rtsp-restream
           roles:
             - record
-        - path: rtsp://127.0.0.1:8554/test_cam_sub?video=copy&audio=aac # <--- the name here must match the name of the camera_sub in restream
+        - path: rtsp://127.0.0.1:8554/rtsp_cam_sub # <--- the name here must match the name of the camera_sub in restream
+          input_args: preset-rtsp-restream
+          roles:
+            - detect
+  http_cam:
+    ffmpeg:
+      output_args:
+        record: preset-record-generic-audio-copy
+      inputs:
+        - path: rtsp://127.0.0.1:8554/http_cam # <--- the name here must match the name of the camera in restream
+          input_args: preset-rtsp-restream
+          roles:
+            - record
+        - path: rtsp://127.0.0.1:8554/http_cam_sub # <--- the name here must match the name of the camera_sub in restream
           input_args: preset-rtsp-restream
           roles:
             - detect
 ```
+
+## Advanced Restream Configurations
+
+The [exec](https://github.com/AlexxIT/go2rtc/tree/v1.2.0#source-exec) source in go2rtc can be used for custom ffmpeg commands. An example is below:
+
+NOTE: The output will need to be passed with two curly braces `{{output}}`
+
+```yaml
+go2rtc:
+  streams:
+    stream1: exec:ffmpeg -hide_banner -re -stream_loop -1 -i /media/BigBuckBunny.mp4 -c copy -rtsp_transport tcp -f rtsp {{output}}
+```

docs/docs/configuration/zones.md

@@ -11,6 +11,24 @@ During testing, enable the Zones option for the debug feed so you can adjust as
 
 To create a zone, follow [the steps for a "Motion mask"](masks.md), but use the section of the web UI for creating a zone instead.
 
+### Restricting events to specific zones
+
+Often you will only want events to be created when an object enters areas of interest. This is done using zones along with setting required_zones. Let's say you only want to be notified when an object enters your entire_yard zone, the config would be:
+
+```yaml
+camera:
+  record:
+    events:
+      required_zones:
+        - entire_yard
+  snapshots:
+    required_zones:
+      - entire_yard
+  zones:
+    entire_yard:
+      coordinates: ...
+```
+
 ### Restricting zones to specific objects
 
 Sometimes you want to limit a zone to specific object types to have more granular control of when events/snapshots are saved. The following example will limit one zone to person objects and the other to cars.

docs/docs/frigate/camera_setup.md

@@ -3,7 +3,7 @@ id: camera_setup
 title: Camera setup
 ---
 
-Cameras configured to output H.264 video and AAC audio will offer the most compatibility with all features of Frigate and Home Assistant. H.265 has better compression, but far less compatibility. Safari and Edge are the only browsers able to play H.265. Ideally, cameras should be configured directly for the desired resolutions and frame rates you want to use in Frigate. Reducing frame rates within Frigate will waste CPU resources decoding extra frames that are discarded. There are three different goals that you want to tune your stream configurations around.
+Cameras configured to output H.264 video and AAC audio will offer the most compatibility with all features of Frigate and Home Assistant. H.265 has better compression, but less compatibility. Chrome 108+, Safari and Edge are the only browsers able to play H.265 and only support a limited number of H.265 profiles. Ideally, cameras should be configured directly for the desired resolutions and frame rates you want to use in Frigate. Reducing frame rates within Frigate will waste CPU resources decoding extra frames that are discarded. There are three different goals that you want to tune your stream configurations around.
 
 - **Detection**: This is the only stream that Frigate will decode for processing. Also, this is the stream where snapshots will be generated from. The resolution for detection should be tuned for the size of the objects you want to detect. See [Choosing a detect resolution](#choosing-a-detect-resolution) for more details. The recommended frame rate is 5fps, but may need to be higher for very fast moving objects. Higher resolutions and frame rates will drive higher CPU usage on your server.
 

docs/docs/frigate/hardware.md

@@ -57,12 +57,21 @@ More information is available [in the detector docs](/configuration/detectors#op
 
 Inference speeds vary greatly depending on the CPU, GPU, or VPU used, some known examples are below:
 
-| Name                | Inference Speed | Notes                                                                 |
-| ------------------- | --------------- | --------------------------------------------------------------------- |
-| Intel Celeron J4105 | ~ 25 ms         | Inference speeds on CPU were ~ 150 ms                                 |
-| Intel Celeron N4020 | 50 - 200 ms     | Inference speeds on CPU were ~ 800 ms, greatly depends on other loads |
-| Intel NCS2 VPU      | 60 - 65 ms      | May vary based on host device                                         |
-| Intel i5 1135G7     | 10 - 15 ms      |                                                                       |
+| Name                 | Inference Speed | Notes                                                                 |
+| -------------------- | --------------- | --------------------------------------------------------------------- |
+| Intel NCS2 VPU       | 60 - 65 ms      | May vary based on host device                                         |
+| Intel Celeron J4105  | ~ 25 ms         | Inference speeds on CPU were 150 - 200 ms                             |
+| Intel Celeron N3060  | 130 - 150 ms    | Inference speeds on CPU were ~ 550 ms                                 |
+| Intel Celeron N3205U | ~ 120 ms        | Inference speeds on CPU were ~ 380 ms                                 |
+| Intel Celeron N4020  | 50 - 200 ms     | Inference speeds on CPU were ~ 800 ms, greatly depends on other loads |
+| Intel i3 6100T       | 15 - 35 ms      | Inference speeds on CPU were 60 - 120 ms                              |
+| Intel i3 8100        | ~ 15 ms         | Inference speeds on CPU were ~ 65 ms                                  |
+| Intel i5 4590        | ~ 20 ms         | Inference speeds on CPU were ~ 230 ms                                 |
+| Intel i5 6500        | ~ 15 ms         | Inference speeds on CPU were ~ 150 ms                                 |
+| Intel i5 7200u       | 15 - 25 ms      | Inference speeds on CPU were ~ 150 ms                                 |
+| Intel i5 7500        | ~ 15 ms         | Inference speeds on CPU were ~ 260 ms                                 |
+| Intel i5 1135G7      | 10 - 15 ms      |                                                                       |
+| Intel i5 12600K      | ~ 15 ms         | Inference speeds on CPU were ~ 35 ms                                  |
 
 ### TensorRT
 
@@ -71,10 +80,15 @@ The TensortRT detector is able to run on x86 hosts that have an Nvidia GPU which
 Inference speeds will vary greatly depending on the GPU and the model used.
 `tiny` variants are faster than the equivalent non-tiny model, some known examples are below:
 
-| Name     | Model           | Inference Speed |
-| -------- | --------------- | --------------- |
-| RTX 3050 | yolov4-tiny-416 | ~ 5 ms          |
-| RTX 3050 | yolov7-tiny-416 | ~ 6 ms          |
+| Name            | Inference Speed   |
+| --------------- | ----------------- |
+| GTX 1060 6GB    | ~ 7 ms            |
+| GTX 1070        | ~ 6 ms            |
+| GTX 1660 SUPER  | ~ 4 ms            |
+| RTX 3050        | 5 - 7 ms          |
+| RTX 3070 Mobile | ~ 5 ms            |
+| Quadro P400 2GB | 20 - 25 ms        |
+| Quadro P2000    | ~ 12 ms           |
 
 ## What does Frigate use the CPU for and what does it use a detector for? (ELI5 Version)
 

docs/docs/frigate/installation.md

@@ -74,17 +74,29 @@ database:
 
 ### Calculating required shm-size
 
-Frigate utilizes shared memory to store frames during processing. The default `shm-size` provided by Docker is 64m.
+Frigate utilizes shared memory to store frames during processing. The default `shm-size` provided by Docker is **64MB**.
 
-The default shm-size of 64m is fine for setups with 2 or less 1080p cameras. If Frigate is exiting with "Bus error" messages, it is likely because you have too many high resolution cameras and you need to specify a higher shm size.
+The default shm size of **64MB** is fine for setups with **2 cameras** detecting at **720p**. If Frigate is exiting with "Bus error" messages, it is likely because you have too many high resolution cameras and you need to specify a higher shm size.
 
-You can calculate the necessary shm-size for each camera with the following formula using the resolution specified for detect:
+The Frigate container also stores logs in shm, which can take up to **30MB**, so make sure to take this into account in your math as well.
 
-```
-(width * height * 1.5 * 9 + 270480)/1048576 = <shm size in mb>
+You can calculate the necessary shm size for each camera with the following formula using the resolution specified for detect:
+
+```console
+# Replace <width> and <height>
+$ python -c 'print("{:.2f}MB".format((<width> * <height> * 1.5 * 9 + 270480) / 1048576))'
+
+# Example for 1280x720
+$ python -c 'print("{:.2f}MB".format((1280 * 720 * 1.5 * 9 + 270480) / 1048576))'
+12.12MB
+
+# Example for eight cameras detecting at 1280x720, including logs
+$ python -c 'print("{:.2f}MB".format(((1280 * 720 * 1.5 * 9 + 270480) / 1048576) * 8 + 30))'
+126.99MB
 ```
 
-The shm size cannot be set per container for Home Assistant Addons. You must set `default-shm-size` in `/etc/docker/daemon.json` to increase the default shm size. This will increase the shm size for all of your docker containers. This may or may not cause issues with your setup. https://docs.docker.com/engine/reference/commandline/dockerd/#daemon-configuration-file
+The shm size cannot be set per container for Home Assistant add-ons. However, this is probably not required since by default Home Assistant Supervisor allocates `/dev/shm` with half the size of your total memory. If your machine has 8GB of memory, chances are that Frigate will have access to up to 4GB without any additional configuration.
+
 
 ### Raspberry Pi 3/4
 
@@ -151,7 +163,10 @@ docker run -d \
 
 :::caution
 
-Due to limitations in Home Assistant Operating System, utilizing external storage for recordings or snapshots requires [modifying udev rules manually](https://community.home-assistant.io/t/solved-mount-usb-drive-in-hassio-to-be-used-on-the-media-folder-with-udev-customization/258406/46).
+There are important limitations in Home Assistant Operating System to be aware of:
+- Utilizing external storage for recordings or snapshots requires [modifying udev rules manually](https://community.home-assistant.io/t/solved-mount-usb-drive-in-hassio-to-be-used-on-the-media-folder-with-udev-customization/258406/46).
+- AMD GPUs are not supported because HA OS does not include the mesa driver.
+- Nvidia GPUs are not supported because addons do not support the nvidia runtime.
 
 :::
 
@@ -182,6 +197,13 @@ There are several versions of the addon available:
 
 ## Home Assistant Supervised
 
+:::caution
+
+There are important limitations in Home Assistant Supervised to be aware of:
+- Nvidia GPUs are not supported because addons do not support the nvidia runtime.
+
+:::
+
 :::tip
 
 If possible, it is recommended to run Frigate standalone in Docker and use [Frigate's Proxy Addon](https://github.com/blakeblackshear/frigate-hass-addons/blob/main/frigate_proxy/README.md).

docs/docs/guides/configuring_go2rtc.md

@@ -0,0 +1,77 @@
+---
+id: configuring_go2rtc
+title: Configuring go2rtc
+---
+
+Use of the bundled go2rtc is optional. You can still configure FFmpeg to connect directly to your cameras. However, adding go2rtc to your configuration is required for the following features:
+
+- WebRTC or MSE for live viewing with higher resolutions and frame rates than the jsmpeg stream which is limited to the detect stream
+- RTSP (instead of RTMP) relay for use with Home Assistant or other consumers to reduce the number of connections to your camera streams
+
+# Setup a go2rtc stream
+
+First, you will want to configure go2rtc to connect to your camera stream by adding the stream you want to use for live view in your Frigate config file. If you set the stream name under go2rtc to match the name of your camera, it will automatically be mapped and you will get additional live view options for the camera. Avoid changing any other parts of your config at this step. Note that go2rtc supports [many different stream types](https://github.com/AlexxIT/go2rtc/tree/v1.2.0#module-streams), not just rtsp.
+
+```yaml
+go2rtc:
+  streams:
+    back:
+      - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+```
+
+The easiest live view to get working is MSE. After adding this to the config, restart Frigate and try to watch the live stream by selecting MSE in the dropdown after clicking on the camera.
+
+### What if my video doesn't play?
+
+If you are unable to see your video feed, first check the go2rtc logs in the Frigate UI under Logs in the sidebar. If go2rtc is having difficulty connecting to your camera, you should see some error messages in the log. If you do not see any errors, then the video codec of the stream may not be supported in your browser. If your camera stream is set to H265, try switching to H264. You can see more information about [video codec compatibility](https://github.com/AlexxIT/go2rtc/tree/v1.2.0#codecs-madness) in the go2rtc documentation. If you are not able to switch your camera settings from H265 to H264 or your stream is a different format such as MJPEG, you can use go2rtc to re-encode the video using the [FFmpeg parameters](https://github.com/AlexxIT/go2rtc/tree/v1.2.0#source-ffmpeg). It supports rotating and resizing video feeds and hardware acceleration. Keep in mind that transcoding video from one format to another is a resource intensive task and you may be better off using the built-in jsmpeg view. Here is an example of a config that will re-encode the stream to H264 without hardware acceleration:
+
+```yaml
+go2rtc:
+  streams:
+    back:
+      - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+      - "ffmpeg:back#video=h264"
+```
+
+Some camera streams may need to use the ffmpeg module in go2rtc. This has the downside of slower startup times, but has compatibility with more stream types.
+
+```yaml
+go2rtc:
+  streams:
+    back:
+      - ffmpeg:rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+```
+
+If you can see the video but do not have audio, this is most likely because your camera's audio stream is not AAC. If possible, update your camera's audio settings to AAC. If your cameras do not support AAC audio, you will need to tell go2rtc to re-encode the audio to AAC on demand if you want audio. This will use additional CPU and add some latency. To add AAC audio on demand, you can update your go2rtc config as follows:
+
+```yaml
+go2rtc:
+  streams:
+    back:
+      - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+      - "ffmpeg:back#audio=aac"
+```
+
+If you need to convert **both** the audio and video streams, you can use the following:
+
+```yaml
+go2rtc:
+  streams:
+    back:
+      - rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
+      - "ffmpeg:back#video=h264#audio=aac"
+```
+
+When using the ffmpeg module, you would add AAC audio like this:
+
+```yaml
+go2rtc:
+  streams:
+    back:
+      - "ffmpeg:rtsp://user:password@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2#video=copy#audio=copy#audio=aac"
+```
+
+## Next steps
+
+1. If the stream you added to go2rtc is also used by Frigate for the `record` or `detect` role, you can migrate your config to pull from the RTSP restream to reduce the number of connections to your camera as shown [here](/configuration/restream#reduce-connections-to-camera).
+1. You may also prefer to [setup WebRTC](/configuration/live#webrtc-extra-configuration) for slightly lower latency than MSE. Note that WebRTC only supports h264 and specific audio formats.

docs/docs/guides/events_setup.md

@@ -1,10 +0,0 @@
----
-id: events_setup
-title: Setting Up Events
----
-
-[Snapshots](../configuration/snapshots.md) and/or [Recordings](../configuration/record.md) must be enabled for events to be created for detected objects.
-
-## Limiting Events to Areas of Interest
-
-The best way to limit events to areas of interest is to use [zones](../configuration/zones.md) along with `required_zones` for events and snapshots to only have events created in areas of interest.

docs/docs/guides/getting_started.md

@@ -1,79 +1,32 @@
 ---
 id: getting_started
-title: Creating a config file
+title: Getting started
 ---
 
-This guide walks through the steps to build a configuration file for Frigate. It assumes that you already have an environment setup as described in [Installation](../frigate/installation.md). You should also configure your cameras according to the [camera setup guide](/guides/camera_setup)
+This guide walks through the steps to build a configuration file for Frigate. It assumes that you already have an environment setup as described in [Installation](../frigate/installation.md). You should also configure your cameras according to the [camera setup guide](/frigate/camera_setup). Pay particular attention to the section on choosing a detect resolution.
 
-### Step 1: Configure the MQTT server (Optional)
+### Step 1: Add a detect stream
 
-Use of a functioning MQTT server is optional for Frigate, but required for the home assistant integration. Start by adding the mqtt section at the top level in your config:
+First we will add the detect stream for the camera:
 
-If using mqtt:
-```yaml
-mqtt:
-  host: <ip of your mqtt server>
-```
-
-If not using mqtt:
 ```yaml
 mqtt:
   enabled: False
-```
-
-If using the Mosquitto Addon in Home Assistant, a username and password is required. For example:
-
-```yaml
-mqtt:
-  host: <ip of your mqtt server>
-  user: <username>
-  password: <password>
-```
-
-Frigate supports many configuration options for mqtt. See the [configuration reference](../configuration/index.md#full-configuration-reference) for more info.
-
-### Step 2: Configure detectors
-
-By default, Frigate will use a single CPU detector. If you have a USB Coral, you will need to add a detectors section to your config.
-
-```yaml
-mqtt:
-  host: <ip of your mqtt server>
-
-detectors:
-  coral:
-    type: edgetpu
-    device: usb
-```
-
-More details on available detectors can be found [here](../configuration/detectors.md).
-
-### Step 3: Add a minimal camera configuration
-
-Now let's add the first camera:
-
-```yaml
-mqtt:
-  host: <ip of your mqtt server>
-
-detectors:
-  coral:
-    type: edgetpu
-    device: usb
 
 cameras:
   camera_1: # <------ Name the camera
     ffmpeg:
       inputs:
-        - path: rtsp://10.0.10.10:554/rtsp # <----- Update for your camera
+        - path: rtsp://10.0.10.10:554/rtsp # <----- The stream you want to use for detection
           roles:
             - detect
     detect:
+      enabled: False # <---- disable detection until you have a working camera feed
       width: 1280 # <---- update for your camera's resolution
       height: 720 # <---- update for your camera's resolution
 ```
 
-### Step 4: Start Frigate
+### Step 2: Start Frigate
 
 At this point you should be able to start Frigate and see the the video feed in the UI.
 
@@ -81,41 +34,48 @@ If you get an error image from the camera, this means ffmpeg was not able to get
 
 FFmpeg arguments for other types of cameras can be found [here](../configuration/camera_specific.md).
 
-### Step 5: Configure hardware acceleration (optional)
+### Step 3: Configure hardware acceleration (recommended)
 
 Now that you have a working camera configuration, you want to setup hardware acceleration to minimize the CPU required to decode your video streams. See the [hardware acceleration](../configuration/hardware_acceleration.md) config reference for examples applicable to your hardware.
 
-In order to best evaluate the performance impact of hardware acceleration, it is recommended to temporarily disable detection.
+Here is an example configuration with hardware acceleration configured for Intel processors with an integrated GPU using the [preset](../configuration/ffmpeg_presets.md):
 
 ```yaml
 mqtt: ...
 
-detectors: ...
-
-cameras:
-  camera_1:
-    ffmpeg: ...
-    detect:
-      enabled: False
-      ...
-```
-
-Here is an example configuration with hardware acceleration configured:
-
-```yaml
-mqtt: ...
-
-detectors: ...
-
 cameras:
   camera_1:
     ffmpeg:
       inputs: ...
-      hwaccel_args: -c:v h264_v4l2m2m
+      hwaccel_args: preset-vaapi
     detect: ...
 ```
 
-### Step 6: Setup motion masks
+### Step 4: Configure detectors
+
+By default, Frigate will use a single CPU detector. If you have a USB Coral, you will need to add a detectors section to your config.
+
+```yaml
+mqtt: ...
+
+detectors: # <---- add detectors
+  coral:
+    type: edgetpu
+    device: usb
+
+cameras:
+  camera_1:
+    ffmpeg: ...
+    detect:
+      enabled: True # <---- turn on detection
+      ...
+```
+
+More details on available detectors can be found [here](../configuration/detectors.md).
+
+Restart Frigate and you should start seeing detections for `person`. If you want to track other objects, they will need to be added according to the [configuration file reference](../configuration/index.md#full-configuration-reference).
+
+### Step 5: Setup motion masks
 
 Now that you have optimized your configuration for decoding the video stream, you will want to check to see where to implement motion masks. To do this, navigate to the camera in the UI, select "Debug" at the top, and enable "Motion boxes" in the options below the video feed. Watch for areas that continuously trigger unwanted motion to be detected. Common areas to mask include camera timestamps and trees that frequently blow in the wind. The goal is to avoid wasting object detection cycles looking at these areas.
 
@@ -131,7 +91,7 @@ Your configuration should look similar to this now.
 
 ```yaml
 mqtt:
-  host: mqtt.local
+  enabled: False
 
 detectors:
   coral:
@@ -153,9 +113,13 @@ cameras:
         - 0,461,3,0,1919,0,1919,843,1699,492,1344,458,1346,336,973,317,869,375,866,432
 ```
 
-### Step 7: Enable recording (optional)
+### Step 6: Enable recording and/or snapshots
 
-To enable recording video, add the `record` role to a stream and enable it in the config.
+In order to see Events in the Frigate UI, either snapshots or record will need to be enabled.
+
+#### Record
+
+To enable recording video, add the `record` role to a stream and enable it in the config. If record is disabled in the config, turning it on via the UI will not have any effect.
 
 ```yaml
 mqtt: ...
@@ -169,7 +133,7 @@ cameras:
         - path: rtsp://10.0.10.10:554/rtsp
           roles:
             - detect
-        - path: rtsp://10.0.10.10:554/high_res_stream # <----- Add high res stream
+        - path: rtsp://10.0.10.10:554/high_res_stream # <----- Add stream you want to record from
           roles:
             - record
     detect: ...
@@ -182,9 +146,9 @@ If you don't have separate streams for detect and record, you would just add the
 
 By default, Frigate will retain video of all events for 10 days. The full set of options for recording can be found [here](../configuration/index.md#full-configuration-reference).
 
-### Step 8: Enable snapshots (optional)
+#### Snapshots
 
-To enable snapshots of your events, just enable it in the config.
+To enable snapshots of your events, just enable it in the config. Snapshots are taken from the detect stream because it is the only stream decoded.
 
 ```yaml
 mqtt: ...
@@ -201,3 +165,10 @@ cameras:
 ```
 
 By default, Frigate will retain snapshots of all events for 10 days. The full set of options for snapshots can be found [here](../configuration/index.md#full-configuration-reference).
+
+### Step 7: Follow up guides
+
+Now that you have a working install, you can use the following guides for additional features:
+
+1. [Configuring go2rtc](configuring_go2rtc) - Additional live view options and RTSP relay
+2. [Home Assistant Integration](../integrations/home-assistant.md) - Integrate with Home Assistant

docs/docs/guides/reverse_proxy.md

@@ -1,6 +1,6 @@
 ---
 id: reverse_proxy
-title: Setting up a Reverse Proxy
+title: Setting up a reverse proxy
 ---
 
 This guide outlines the basic configuration steps needed to expose your Frigate UI to the internet.
@@ -8,6 +8,7 @@ A common way of accomplishing this is to use a reverse proxy webserver between y
 A reverse proxy accepts HTTP requests from the public internet and redirects them transparently to internal webserver(s) on your network.
 
 The suggested steps are:
+
 - **Configure** a 'proxy' HTTP webserver (such as [Apache2](https://httpd.apache.org/docs/current/) or [NPM](https://github.com/NginxProxyManager/nginx-proxy-manager)) and only expose ports 80/443 from this webserver to the internet
 - **Encrypt** content from the proxy webserver by installing SSL (such as with [Let's Encrypt](https://letsencrypt.org/)). Note that SSL is then not required on your Frigate webserver as the proxy encrypts all requests for you
 - **Restrict** access to your Frigate instance at the proxy using, for example, password authentication
@@ -31,6 +32,7 @@ On Debian Apache2 the configuration file will be named along the lines of `/etc/
 
 Make life easier for yourself by presenting your Frigate interface as a DNS sub-domain rather than as a sub-folder of your main domain.
 Here we access Frigate via https://cctv.mydomain.co.uk
+
 ```xml
 <VirtualHost *:443>
     ServerName cctv.mydomain.co.uk
@@ -38,7 +40,7 @@ Here we access Frigate via https://cctv.mydomain.co.uk
     ProxyPreserveHost On
     ProxyPass "/"  "http://frigatepi.local:5000/"
     ProxyPassReverse "/"  "http://frigatepi.local:5000/"
-    
+
     ProxyPass /ws ws://frigatepi.local:5000/ws
     ProxyPassReverse /ws ws://frigatepi.local:5000/ws
 

docs/docs/integrations/home-assistant.md

@@ -16,6 +16,8 @@ See the [MQTT integration
 documentation](https://www.home-assistant.io/integrations/mqtt/) for more
 details.
 
+In addition, MQTT must be enabled in your Frigate configuration file and Frigate must be connected to the same MQTT server as Home Assistant for many of the entities created by the integration to function.
+
 ### Integration installation
 
 Available via HACS as a default repository. To install:
@@ -30,7 +32,7 @@ Home Assistant > HACS > Integrations > "Explore & Add Integrations" > Frigate
 - Then add/configure the integration:
 
 ```
-Home Assistant > Configuration > Integrations > Add Integration > Frigate
+Home Assistant > Settings > Devices & Services > Add Integration > Frigate
 ```
 
 Note: You will also need
@@ -64,13 +66,13 @@ Home Assistant > Configuration > Integrations > Frigate > Options
 
 | Option            | Description                                                                                                                                                                                                                                                                                                                          |
 | ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
-| RTSP URL Template | A [jinja2](https://jinja.palletsprojects.com/) template that is used to override the standard RTMP stream URL (e.g. for use with reverse proxies). This option is only shown to users who have [advanced mode](https://www.home-assistant.io/blog/2019/07/17/release-96/#advanced-mode) enabled. See [RTSP streams](#streams) below. |
+| RTSP URL Template | A [jinja2](https://jinja.palletsprojects.com/) template that is used to override the standard RTSP stream URL (e.g. for use with reverse proxies). This option is only shown to users who have [advanced mode](https://www.home-assistant.io/blog/2019/07/17/release-96/#advanced-mode) enabled. See [RTSP streams](#streams) below. |
 
 ## Entities Provided
 
 | Platform        | Description                                                                       |
 | --------------- | --------------------------------------------------------------------------------- |
-| `camera`        | Live camera stream (requires RTMP), camera for image of the last detected object. |
+| `camera`        | Live camera stream (requires RTSP), camera for image of the last detected object. |
 | `sensor`        | States to monitor Frigate performance, object counts for all zones and cameras.   |
 | `switch`        | Switch entities to toggle detection, recordings and snapshots.                    |
 | `binary_sensor` | A "motion" binary sensor entity per camera/zone/object.                           |

docs/docs/integrations/plus.md

@@ -39,6 +39,12 @@ You cannot use the `environment_vars` section of your configuration file to set
 
 Once your API key is configured, you can submit examples directly from the events page in Frigate using the `SEND TO FRIGATE+` button.
 
+:::note
+
+Snapshots must be enabled to be able to submit examples to Frigate+
+
+:::
+
 ![Send To Plus](/img/send-to-plus.png)
 
 ### Annotate and verify

docs/docs/troubleshooting/faqs.md

@@ -17,16 +17,18 @@ ffmpeg:
     record: preset-record-generic-audio-aac
 ```
 
+### I can't view events or recordings in the Web UI.
+
+Ensure your cameras send h264 encoded video, or [transcode them](/configuration/restream.md).
+
+You can open `chrome://media-internals/` in another tab and then try to playback, the media internals page will give information about why playback is failing.
+
 ### My mjpeg stream or snapshots look green and crazy
 
 This almost always means that the width/height defined for your camera are not correct. Double check the resolution with VLC or another player. Also make sure you don't have the width and height values backwards.
 
 ![mismatched-resolution](/img/mismatched-resolution-min.jpg)
 
-### I can't view events or recordings in the Web UI.
-
-Ensure your cameras send h264 encoded video, or [transcode them](/configuration/restream.md).
-
 ### "[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5639eeb6e140] moov atom not found"
 
 These messages in the logs are expected in certain situations. Frigate checks the integrity of the recordings before storing. Occasionally these cached files will be invalid and cleaned up automatically.

docs/sidebars.js

@@ -4,11 +4,11 @@ module.exports = {
       "frigate/index",
       "frigate/hardware",
       "frigate/installation",
+      "frigate/camera_setup",
     ],
     Guides: [
-      "guides/camera_setup",
       "guides/getting_started",
-      "guides/events_setup",
+      "guides/configuring_go2rtc",
       "guides/false_positives",
       "guides/ha_notifications",
       "guides/stationary_objects",

frigate/app.py

@@ -3,6 +3,7 @@ import multiprocessing as mp
 from multiprocessing.queues import Queue
 from multiprocessing.synchronize import Event as MpEvent
 import os
+import shutil
 import signal
 import sys
 from typing import Optional
@@ -27,7 +28,6 @@ from frigate.object_processing import TrackedObjectProcessor
 from frigate.output import output_frames
 from frigate.plus import PlusApi
 from frigate.record import RecordingCleanup, RecordingMaintainer
-from frigate.restream import RestreamApi
 from frigate.stats import StatsEmitter, stats_init
 from frigate.storage import StorageMaintainer
 from frigate.version import VERSION
@@ -116,6 +116,9 @@ class FrigateApp:
         if not "werkzeug" in self.config.logger.logs:
             logging.getLogger("werkzeug").setLevel("ERROR")
 
+        if not "ws4py" in self.config.logger.logs:
+            logging.getLogger("ws4py").setLevel("ERROR")
+
     def init_queues(self) -> None:
         # Queues for clip processing
         self.event_queue: Queue = mp.Queue()
@@ -155,7 +158,9 @@ class FrigateApp:
         self.db.bind(models)
 
     def init_stats(self) -> None:
-        self.stats_tracking = stats_init(self.camera_metrics, self.detectors)
+        self.stats_tracking = stats_init(
+            self.config, self.camera_metrics, self.detectors
+        )
 
     def init_web_server(self) -> None:
         self.flask_app = create_app(
@@ -167,18 +172,13 @@ class FrigateApp:
             self.plus_api,
         )
 
-    def init_restream(self) -> None:
-        self.restream = RestreamApi(self.config)
-        self.restream.add_cameras()
-
     def init_dispatcher(self) -> None:
         comms: list[Communicator] = []
 
         if self.config.mqtt.enabled:
             comms.append(MqttClient(self.config))
 
-        self.ws_client = WebSocketClient(self.config)
-        comms.append(self.ws_client)
+        comms.append(WebSocketClient(self.config))
         self.dispatcher = Dispatcher(self.config, self.camera_metrics, comms)
 
     def start_detectors(self) -> None:
@@ -327,6 +327,22 @@ class FrigateApp:
         self.frigate_watchdog = FrigateWatchdog(self.detectors, self.stop_event)
         self.frigate_watchdog.start()
 
+    def check_shm(self) -> None:
+        available_shm = round(shutil.disk_usage("/dev/shm").total / 1000000, 1)
+        min_req_shm = 30
+
+        for _, camera in self.config.cameras.items():
+            min_req_shm += round(
+                (camera.detect.width * camera.detect.height * 1.5 * 9 + 270480)
+                / 1048576,
+                1,
+            )
+
+        if available_shm < min_req_shm:
+            logger.warning(
+                f"The current SHM size of {available_shm}MB is too small, recommend increasing it to at least {min_req_shm}MB."
+            )
+
     def start(self) -> None:
         self.init_logger()
         logger.info(f"Starting Frigate ({VERSION})")
@@ -360,7 +376,6 @@ class FrigateApp:
             print(e)
             self.log_process.terminate()
             sys.exit(1)
-        self.init_restream()
         self.start_detectors()
         self.start_video_output_processor()
         self.start_detected_frames_processor()
@@ -375,6 +390,7 @@ class FrigateApp:
         self.start_recording_cleanup()
         self.start_stats_emitter()
         self.start_watchdog()
+        self.check_shm()
         # self.zeroconf = broadcast_zeroconf(self.config.mqtt.client_id)
 
         def receiveSignal(signalNumber: int, frame: Optional[FrameType]) -> None:
@@ -394,7 +410,17 @@ class FrigateApp:
         logger.info(f"Stopping...")
         self.stop_event.set()
 
-        self.ws_client.stop()
+        for detector in self.detectors.values():
+            detector.stop()
+
+        # Empty the detection queue and set the events for all requests
+        while not self.detection_queue.empty():
+            connection_id = self.detection_queue.get(timeout=1)
+            self.detection_out_events[connection_id].set()
+        self.detection_queue.close()
+        self.detection_queue.join_thread()
+
+        self.dispatcher.stop()
         self.detected_frames_processor.join()
         self.event_processor.join()
         self.event_cleanup.join()
@@ -404,10 +430,20 @@ class FrigateApp:
         self.frigate_watchdog.join()
         self.db.stop()
 
-        for detector in self.detectors.values():
-            detector.stop()
-
         while len(self.detection_shms) > 0:
             shm = self.detection_shms.pop()
             shm.close()
             shm.unlink()
+
+        for queue in [
+            self.event_queue,
+            self.event_processed_queue,
+            self.video_output_queue,
+            self.detected_frames_queue,
+            self.recordings_info_queue,
+            self.log_queue,
+        ]:
+            while not queue.empty():
+                queue.get_nowait()
+            queue.close()
+            queue.join_thread()

frigate/comms/dispatcher.py

@@ -27,6 +27,11 @@ class Communicator(ABC):
         """Pass receiver so communicators can pass commands."""
         pass
 
+    @abstractmethod
+    def stop(self) -> None:
+        """Stop the communicator."""
+        pass
+
 
 class Dispatcher:
     """Handle communication between Frigate and communicators."""
@@ -72,6 +77,10 @@ class Dispatcher:
         for comm in self.comms:
             comm.publish(topic, payload, retain)
 
+    def stop(self) -> None:
+        for comm in self.comms:
+            comm.stop()
+
     def _on_detect_command(self, camera_name: str, payload: str) -> None:
         """Callback for detect topic."""
         detect_settings = self.config.cameras[camera_name].detect

frigate/comms/mqtt.py

@@ -35,6 +35,9 @@ class MqttClient(Communicator):  # type: ignore[misc]
             f"{self.mqtt_config.topic_prefix}/{topic}", payload, retain=retain
         )
 
+    def stop(self) -> None:
+        self.client.disconnect()
+
     def _set_initial_topics(self) -> None:
         """Set initial state topics."""
         for camera_name, camera in self.config.cameras.items():

frigate/comms/ws.py

@@ -95,3 +95,4 @@ class WebSocketClient(Communicator):  # type: ignore[misc]
         self.websocket_server.manager.join()
         self.websocket_server.shutdown()
         self.websocket_thread.join()
+        logger.info("Exiting websocket client...")

frigate/config.py

@@ -66,12 +66,41 @@ class LiveModeEnum(str, Enum):
     webrtc = "webrtc"
 
 
+class TimeFormatEnum(str, Enum):
+    browser = "browser"
+    hours12 = "12hour"
+    hours24 = "24hour"
+
+
+class DateTimeStyleEnum(str, Enum):
+    full = "full"
+    long = "long"
+    medium = "medium"
+    short = "short"
+
+
 class UIConfig(FrigateBaseModel):
     live_mode: LiveModeEnum = Field(
         default=LiveModeEnum.mse, title="Default Live Mode."
     )
     timezone: Optional[str] = Field(title="Override UI timezone.")
     use_experimental: bool = Field(default=False, title="Experimental UI")
+    time_format: TimeFormatEnum = Field(
+        default=TimeFormatEnum.browser, title="Override UI time format."
+    )
+    date_style: DateTimeStyleEnum = Field(
+        default=DateTimeStyleEnum.short, title="Override UI dateStyle."
+    )
+    time_style: DateTimeStyleEnum = Field(
+        default=DateTimeStyleEnum.medium, title="Override UI timeStyle."
+    )
+    strftime_fmt: Optional[str] = Field(
+        default=None, title="Override date and time format using strftime syntax."
+    )
+
+
+class TelemetryConfig(FrigateBaseModel):
+    version_check: bool = Field(default=True, title="Enable latest version check.")
 
 
 class MqttConfig(FrigateBaseModel):
@@ -366,9 +395,18 @@ class BirdseyeCameraConfig(BaseModel):
     )
 
 
-FFMPEG_GLOBAL_ARGS_DEFAULT = ["-hide_banner", "-loglevel", "warning"]
+# Note: Setting threads to less than 2 caused several issues with recording segments
+# https://github.com/blakeblackshear/frigate/issues/5659
+FFMPEG_GLOBAL_ARGS_DEFAULT = ["-hide_banner", "-loglevel", "warning", "-threads", "2"]
 FFMPEG_INPUT_ARGS_DEFAULT = "preset-rtsp-generic"
-DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT = ["-f", "rawvideo", "-pix_fmt", "yuv420p"]
+DETECT_FFMPEG_OUTPUT_ARGS_DEFAULT = [
+    "-threads",
+    "2",
+    "-f",
+    "rawvideo",
+    "-pix_fmt",
+    "yuv420p",
+]
 RTMP_FFMPEG_OUTPUT_ARGS_DEFAULT = "preset-rtmp-generic"
 RECORD_FFMPEG_OUTPUT_ARGS_DEFAULT = "preset-record-generic"
 
@@ -818,6 +856,9 @@ class FrigateConfig(FrigateBaseModel):
         default_factory=dict, title="Frigate environment variables."
     )
     ui: UIConfig = Field(default_factory=UIConfig, title="UI configuration.")
+    telemetry: TelemetryConfig = Field(
+        default_factory=TelemetryConfig, title="Telemetry configuration."
+    )
     model: ModelConfig = Field(
         default_factory=ModelConfig, title="Detection model configuration."
     )

frigate/detectors/detector_config.py

@@ -23,6 +23,13 @@ class InputTensorEnum(str, Enum):
     nhwc = "nhwc"
 
 
+class ModelTypeEnum(str, Enum):
+    ssd = "ssd"
+    yolox = "yolox"
+    yolov5 = "yolov5"
+    yolov8 = "yolov8"
+
+
 class ModelConfig(BaseModel):
     path: Optional[str] = Field(title="Custom Object detection model path.")
     labelmap_path: Optional[str] = Field(title="Label map for custom object detector.")
@@ -37,6 +44,9 @@ class ModelConfig(BaseModel):
     input_pixel_format: PixelFormatEnum = Field(
         default=PixelFormatEnum.rgb, title="Model Input Pixel Color Format"
     )
+    model_type: ModelTypeEnum = Field(
+        default=ModelTypeEnum.ssd, title="Object Detection Model Type"
+    )
     _merged_labelmap: Optional[Dict[int, str]] = PrivateAttr()
     _colormap: Dict[int, Tuple[int, int, int]] = PrivateAttr()
 

frigate/detectors/detector_types.py

@@ -13,12 +13,19 @@ from .detector_config import BaseDetectorConfig
 
 logger = logging.getLogger(__name__)
 
-plugin_modules = [
-    importlib.import_module(name)
-    for finder, name, ispkg in pkgutil.iter_modules(
-        plugins.__path__, plugins.__name__ + "."
-    )
-]
+
+_included_modules = pkgutil.iter_modules(plugins.__path__, plugins.__name__ + ".")
+
+plugin_modules = []
+
+for _, name, _ in _included_modules:
+    try:
+        # currently openvino may fail when importing
+        # on an arm device with 64 KiB page size.
+        plugin_modules.append(importlib.import_module(name))
+    except ImportError as e:
+        logger.error(f"Error importing detector runtime: {e}")
+
 
 api_types = {det.type_key: det for det in DetectionApi.__subclasses__()}
 

frigate/detectors/plugins/cpu_tfl.py

@@ -5,7 +5,11 @@ from frigate.detectors.detection_api import DetectionApi
 from frigate.detectors.detector_config import BaseDetectorConfig
 from typing import Literal
 from pydantic import Extra, Field
-import tflite_runtime.interpreter as tflite
+
+try:
+    from tflite_runtime.interpreter import Interpreter
+except ModuleNotFoundError:
+    from tensorflow.lite.python.interpreter import Interpreter
 
 
 logger = logging.getLogger(__name__)
@@ -22,7 +26,7 @@ class CpuTfl(DetectionApi):
     type_key = DETECTOR_KEY
 
     def __init__(self, detector_config: CpuDetectorConfig):
-        self.interpreter = tflite.Interpreter(
+        self.interpreter = Interpreter(
             model_path=detector_config.model.path or "/cpu_model.tflite",
             num_threads=detector_config.num_threads or 3,
         )

frigate/detectors/plugins/edgetpu_tfl.py

@@ -5,8 +5,11 @@ from frigate.detectors.detection_api import DetectionApi
 from frigate.detectors.detector_config import BaseDetectorConfig
 from typing import Literal
 from pydantic import Extra, Field
-import tflite_runtime.interpreter as tflite
-from tflite_runtime.interpreter import load_delegate
+
+try:
+    from tflite_runtime.interpreter import Interpreter, load_delegate
+except ModuleNotFoundError:
+    from tensorflow.lite.python.interpreter import Interpreter, load_delegate
 
 
 logger = logging.getLogger(__name__)
@@ -33,7 +36,7 @@ class EdgeTpuTfl(DetectionApi):
             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")
-            self.interpreter = tflite.Interpreter(
+            self.interpreter = Interpreter(
                 model_path=detector_config.model.path or "/edgetpu_model.tflite",
                 experimental_delegates=[edge_tpu_delegate],
             )

frigate/detectors/plugins/openvino.py

@@ -3,7 +3,7 @@ import numpy as np
 import openvino.runtime as ov
 
 from frigate.detectors.detection_api import DetectionApi
-from frigate.detectors.detector_config import BaseDetectorConfig
+from frigate.detectors.detector_config import BaseDetectorConfig, ModelTypeEnum
 from typing import Literal
 from pydantic import Extra, Field
 
@@ -24,12 +24,18 @@ class OvDetector(DetectionApi):
     def __init__(self, detector_config: OvDetectorConfig):
         self.ov_core = ov.Core()
         self.ov_model = self.ov_core.read_model(detector_config.model.path)
+        self.ov_model_type = detector_config.model.model_type
+
+        self.h = detector_config.model.height
+        self.w = detector_config.model.width
 
         self.interpreter = self.ov_core.compile_model(
             model=self.ov_model, device_name=detector_config.device
         )
+
         logger.info(f"Model Input Shape: {self.interpreter.input(0).shape}")
         self.output_indexes = 0
+
         while True:
             try:
                 tensor_shape = self.interpreter.output(self.output_indexes).shape
@@ -38,29 +44,131 @@ class OvDetector(DetectionApi):
             except:
                 logger.info(f"Model has {self.output_indexes} Output Tensors")
                 break
+        if self.ov_model_type == ModelTypeEnum.yolox:
+            self.num_classes = tensor_shape[2] - 5
+            logger.info(f"YOLOX model has {self.num_classes} classes")
+            self.set_strides_grids()
+
+    def set_strides_grids(self):
+        grids = []
+        expanded_strides = []
+
+        strides = [8, 16, 32]
+
+        hsizes = [self.h // stride for stride in strides]
+        wsizes = [self.w // stride for stride in strides]
+
+        for hsize, wsize, stride in zip(hsizes, wsizes, strides):
+            xv, yv = np.meshgrid(np.arange(wsize), np.arange(hsize))
+            grid = np.stack((xv, yv), 2).reshape(1, -1, 2)
+            grids.append(grid)
+            shape = grid.shape[:2]
+            expanded_strides.append(np.full((*shape, 1), stride))
+        self.grids = np.concatenate(grids, 1)
+        self.expanded_strides = np.concatenate(expanded_strides, 1)
+
+    ## Takes in class ID, confidence score, and array of [x, y, w, h] that describes detection position,
+    ## returns an array that's easily passable back to Frigate.
+    def process_yolo(self, class_id, conf, pos):
+        return [
+            class_id,  # class ID
+            conf,  # confidence score
+            (pos[1] - (pos[3] / 2)) / self.h,  # y_min
+            (pos[0] - (pos[2] / 2)) / self.w,  # x_min
+            (pos[1] + (pos[3] / 2)) / self.h,  # y_max
+            (pos[0] + (pos[2] / 2)) / self.w,  # x_max
+        ]
 
     def detect_raw(self, tensor_input):
-
         infer_request = self.interpreter.create_infer_request()
         infer_request.infer([tensor_input])
 
-        results = infer_request.get_output_tensor()
+        if self.ov_model_type == ModelTypeEnum.ssd:
+            results = infer_request.get_output_tensor()
 
-        detections = np.zeros((20, 6), np.float32)
-        i = 0
-        for object_detected in results.data[0, 0, :]:
-            if object_detected[0] != -1:
-                logger.debug(object_detected)
-            if object_detected[2] < 0.1 or i == 20:
-                break
-            detections[i] = [
-                object_detected[1],  # Label ID
-                float(object_detected[2]),  # Confidence
-                object_detected[4],  # y_min
-                object_detected[3],  # x_min
-                object_detected[6],  # y_max
-                object_detected[5],  # x_max
-            ]
-            i += 1
+            detections = np.zeros((20, 6), np.float32)
+            i = 0
+            for object_detected in results.data[0, 0, :]:
+                if object_detected[0] != -1:
+                    logger.debug(object_detected)
+                if object_detected[2] < 0.1 or i == 20:
+                    break
+                detections[i] = [
+                    object_detected[1],  # Label ID
+                    float(object_detected[2]),  # Confidence
+                    object_detected[4],  # y_min
+                    object_detected[3],  # x_min
+                    object_detected[6],  # y_max
+                    object_detected[5],  # x_max
+                ]
+                i += 1
+            return detections
+        elif self.ov_model_type == ModelTypeEnum.yolox:
+            out_tensor = infer_request.get_output_tensor()
+            # [x, y, h, w, box_score, class_no_1, ..., class_no_80],
+            results = out_tensor.data
+            results[..., :2] = (results[..., :2] + self.grids) * self.expanded_strides
+            results[..., 2:4] = np.exp(results[..., 2:4]) * self.expanded_strides
+            image_pred = results[0, ...]
 
-        return detections
+            class_conf = np.max(
+                image_pred[:, 5 : 5 + self.num_classes], axis=1, keepdims=True
+            )
+            class_pred = np.argmax(image_pred[:, 5 : 5 + self.num_classes], axis=1)
+            class_pred = np.expand_dims(class_pred, axis=1)
+
+            conf_mask = (image_pred[:, 4] * class_conf.squeeze() >= 0.3).squeeze()
+            # Detections ordered as (x1, y1, x2, y2, obj_conf, class_conf, class_pred)
+            dets = np.concatenate((image_pred[:, :5], class_conf, class_pred), axis=1)
+            dets = dets[conf_mask]
+
+            ordered = dets[dets[:, 5].argsort()[::-1]][:20]
+
+            detections = np.zeros((20, 6), np.float32)
+
+            for i, object_detected in enumerate(ordered):
+                detections[i] = self.process_yolo(
+                    object_detected[6], object_detected[5], object_detected[:4]
+                )
+            return detections
+        elif self.ov_model_type == ModelTypeEnum.yolov8:
+            out_tensor = infer_request.get_output_tensor()
+            results = out_tensor.data[0]
+            output_data = np.transpose(results)
+            scores = np.max(output_data[:, 4:], axis=1)
+            if len(scores) == 0:
+                return np.zeros((20, 6), np.float32)
+            scores = np.expand_dims(scores, axis=1)
+            # add scores to the last column
+            dets = np.concatenate((output_data, scores), axis=1)
+            # filter out lines with scores below threshold
+            dets = dets[dets[:, -1] > 0.5, :]
+            # limit to top 20 scores, descending order
+            ordered = dets[dets[:, -1].argsort()[::-1]][:20]
+            detections = np.zeros((20, 6), np.float32)
+
+            for i, object_detected in enumerate(ordered):
+                detections[i] = self.process_yolo(
+                    np.argmax(object_detected[4:-1]),
+                    object_detected[-1],
+                    object_detected[:4],
+                )
+            return detections
+        elif self.ov_model_type == ModelTypeEnum.yolov5:
+            out_tensor = infer_request.get_output_tensor()
+            output_data = out_tensor.data[0]
+            # filter out lines with scores below threshold
+            conf_mask = (output_data[:, 4] >= 0.5).squeeze()
+            output_data = output_data[conf_mask]
+            # limit to top 20 scores, descending order
+            ordered = output_data[output_data[:, 4].argsort()[::-1]][:20]
+
+            detections = np.zeros((20, 6), np.float32)
+
+            for i, object_detected in enumerate(ordered):
+                detections[i] = self.process_yolo(
+                    np.argmax(object_detected[5:]),
+                    object_detected[4],
+                    object_detected[:4],
+                )
+            return detections

frigate/events.py

@@ -67,7 +67,7 @@ class EventProcessor(threading.Thread):
 
         while not self.stop_event.is_set():
             try:
-                event_type, camera, event_data = self.event_queue.get(timeout=10)
+                event_type, camera, event_data = self.event_queue.get(timeout=1)
             except queue.Empty:
                 continue
 

frigate/ffmpeg_presets.py

@@ -1,14 +1,52 @@
 """Handles inserting and maintaining ffmpeg presets."""
 
+import logging
 import os
 
 from typing import Any
 
 from frigate.version import VERSION
 from frigate.const import BTBN_PATH
+from frigate.util import vainfo_hwaccel
+
+
+logger = logging.getLogger(__name__)
+
+
+class LibvaGpuSelector:
+    "Automatically selects the correct libva GPU."
+
+    _selected_gpu = None
+
+    def get_selected_gpu(self) -> str:
+        """Get selected libva GPU."""
+        if not os.path.exists("/dev/dri"):
+            return ""
+
+        if self._selected_gpu:
+            return self._selected_gpu
+
+        devices = list(filter(lambda d: d.startswith("render"), os.listdir("/dev/dri")))
+
+        if len(devices) < 2:
+            self._selected_gpu = "/dev/dri/renderD128"
+            return self._selected_gpu
+
+        for device in devices:
+            check = vainfo_hwaccel(device_name=device)
+
+            logger.debug(f"{device} return vainfo status code: {check.returncode}")
+
+            if check.returncode == 0:
+                self._selected_gpu = f"/dev/dri/{device}"
+                return self._selected_gpu
+
+        return ""
+
 
 TIMEOUT_PARAM = "-timeout" if os.path.exists(BTBN_PATH) else "-stimeout"
 
+_gpu_selector = LibvaGpuSelector()
 _user_agent_args = [
     "-user_agent",
     f"FFmpeg Frigate/{VERSION}",
@@ -23,7 +61,7 @@ PRESETS_HW_ACCEL_DECODE = {
         "-hwaccel",
         "vaapi",
         "-hwaccel_device",
-        "/dev/dri/renderD128",
+        _gpu_selector.get_selected_gpu(),
         "-hwaccel_output_format",
         "vaapi",
     ],
@@ -31,7 +69,7 @@ PRESETS_HW_ACCEL_DECODE = {
         "-hwaccel",
         "qsv",
         "-qsv_device",
-        "/dev/dri/renderD128",
+        _gpu_selector.get_selected_gpu(),
         "-hwaccel_output_format",
         "qsv",
         "-c:v",
@@ -43,7 +81,7 @@ PRESETS_HW_ACCEL_DECODE = {
         "-hwaccel",
         "qsv",
         "-qsv_device",
-        "/dev/dri/renderD128",
+        _gpu_selector.get_selected_gpu(),
         "-hwaccel_output_format",
         "qsv",
         "-c:v",
@@ -54,47 +92,36 @@ PRESETS_HW_ACCEL_DECODE = {
         "cuda",
         "-hwaccel_output_format",
         "cuda",
-        "-extra_hw_frames",
-        "2",
-        "-c:v",
-        "h264_cuvid",
     ],
     "preset-nvidia-h265": [
         "-hwaccel",
         "cuda",
         "-hwaccel_output_format",
         "cuda",
-        "-extra_hw_frames",
-        "2",
-        "-c:v",
-        "hevc_cuvid",
     ],
     "preset-nvidia-mjpeg": [
         "-hwaccel",
         "cuda",
         "-hwaccel_output_format",
         "cuda",
-        "-extra_hw_frames",
-        "2",
-        "-c:v",
-        "mjpeg_cuvid",
     ],
 }
 
 PRESETS_HW_ACCEL_SCALE = {
-    "preset-rpi-32-h264": "-r {} -s {}x{} -f rawvideo -pix_fmt yuv420p",
-    "preset-rpi-64-h264": "-r {} -s {}x{} -f rawvideo -pix_fmt yuv420p",
-    "preset-vaapi": "-vf fps={},scale_vaapi=w={}:h={},hwdownload,format=yuv420p -f rawvideo",
-    "preset-intel-qsv-h264": "-r {} -vf vpp_qsv=w={}:h={}:format=nv12,hwdownload,format=nv12,format=yuv420p -f rawvideo",
-    "preset-intel-qsv-h265": "-r {} -vf vpp_qsv=w={}:h={}:format=nv12,hwdownload,format=nv12,format=yuv420p -f rawvideo",
-    "preset-nvidia-h264": "-vf fps={},scale_cuda=w={}:h={}:format=nv12,hwdownload,format=nv12,format=yuv420p -f rawvideo",
-    "preset-nvidia-h265": "-vf fps={},scale_cuda=w={}:h={}:format=nv12,hwdownload,format=nv12,format=yuv420p -f rawvideo",
-    "default": "-r {} -s {}x{}",
+    "preset-rpi-32-h264": "-r {0} -s {1}x{2}",
+    "preset-rpi-64-h264": "-r {0} -s {1}x{2}",
+    "preset-vaapi": "-r {0} -vf fps={0},scale_vaapi=w={1}:h={2},hwdownload,format=yuv420p",
+    "preset-intel-qsv-h264": "-r {0} -vf vpp_qsv=framerate={0}:w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
+    "preset-intel-qsv-h265": "-r {0} -vf vpp_qsv=framerate={0}:w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
+    "preset-nvidia-h264": "-r {0} -vf fps={0},scale_cuda=w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
+    "preset-nvidia-h265": "-r {0} -vf fps={0},scale_cuda=w={1}:h={2}:format=nv12,hwdownload,format=nv12,format=yuv420p",
+    "default": "-r {0} -s {1}x{2}",
 }
 
 PRESETS_HW_ACCEL_ENCODE = {
-    "preset-rpi-32-h264": "ffmpeg -hide_banner {0} -c:v h264_v4l2m2m -g 50 -bf 0 {1}",
-    "preset-rpi-64-h264": "ffmpeg -hide_banner {0} -c:v h264_v4l2m2m -g 50 -bf 0 {1}",
+    "preset-rpi-32-h264": "ffmpeg -hide_banner {0} -c:v h264_v4l2m2m {1}",
+    "preset-rpi-64-h264": "ffmpeg -hide_banner {0} -c:v h264_v4l2m2m {1}",
+    "preset-vaapi": "ffmpeg -hide_banner -hwaccel vaapi -hwaccel_output_format vaapi -hwaccel_device {2} {0} -c:v h264_vaapi -g 50 -bf 0 -profile:v high -level:v 4.1 -sei:v 0 -an -vf format=vaapi|nv12,hwupload {1}",
     "preset-intel-qsv-h264": "ffmpeg -hide_banner {0} -c:v h264_qsv -g 50 -bf 0 -profile:v high -level:v 4.1 -async_depth:v 1 {1}",
     "preset-intel-qsv-h265": "ffmpeg -hide_banner {0} -c:v h264_qsv -g 50 -bf 0 -profile:v high -level:v 4.1 -async_depth:v 1 {1}",
     "preset-nvidia-h264": "ffmpeg -hide_banner {0} -c:v h264_nvenc -g 50 -profile:v high -level:v auto -preset:v p2 -tune:v ll {1}",
@@ -127,7 +154,9 @@ def parse_preset_hardware_acceleration_scale(
     scale = PRESETS_HW_ACCEL_SCALE.get(arg, "")
 
     if scale:
-        return scale.format(fps, width, height).split(" ")
+        scale = scale.format(fps, width, height).split(" ")
+        scale.extend(detect_args)
+        return scale
     else:
         scale = scale.format(fps, width, height).split(" ")
         scale.extend(detect_args)
@@ -142,6 +171,7 @@ def parse_preset_hardware_acceleration_encode(arg: Any, input: str, output: str)
     return PRESETS_HW_ACCEL_ENCODE.get(arg, PRESETS_HW_ACCEL_ENCODE["default"]).format(
         input,
         output,
+        _gpu_selector.get_selected_gpu(),
     )
 
 
@@ -237,6 +267,17 @@ PRESETS_INPUT = {
         TIMEOUT_PARAM,
         "5000000",
     ],
+    "preset-rtsp-restream-low-latency": _user_agent_args
+    + [
+        "-rtsp_transport",
+        "tcp",
+        TIMEOUT_PARAM,
+        "5000000",
+        "-fflags",
+        "nobuffer",
+        "-flags",
+        "low_delay",
+    ],
     "preset-rtsp-udp": _user_agent_args
     + [
         "-avoid_negative_ts",

frigate/http.py

@@ -111,6 +111,7 @@ def events_summary():
         Event.select(
             Event.camera,
             Event.label,
+            Event.sub_label,
             fn.strftime(
                 "%Y-%m-%d",
                 fn.datetime(
@@ -124,6 +125,7 @@ def events_summary():
         .group_by(
             Event.camera,
             Event.label,
+            Event.sub_label,
             fn.strftime(
                 "%Y-%m-%d",
                 fn.datetime(
@@ -184,6 +186,18 @@ def send_to_plus(id):
         logger.error(message)
         return make_response(jsonify({"success": False, "message": message}), 404)
 
+    if event.end_time is None:
+        logger.error(f"Unable to load clean png for in-progress event: {event.id}")
+        return make_response(
+            jsonify(
+                {
+                    "success": False,
+                    "message": "Unable to load clean png for in-progress event",
+                }
+            ),
+            400,
+        )
+
     if event.plus_id:
         message = "Already submitted to plus"
         logger.error(message)
@@ -202,6 +216,15 @@ def send_to_plus(id):
             400,
         )
 
+    if image is None or image.size == 0:
+        logger.error(f"Unable to load clean png for event: {event.id}")
+        return make_response(
+            jsonify(
+                {"success": False, "message": "Unable to load clean png for event"}
+            ),
+            400,
+        )
+
     try:
         plus_id = current_app.plus_api.upload_image(image, event.camera)
     except Exception as ex:
@@ -301,7 +324,9 @@ def get_sub_labels():
         sub_labels.remove(None)
 
     if split_joined:
-        for label in sub_labels:
+        original_labels = sub_labels.copy()
+
+        for label in original_labels:
             if "," in label:
                 sub_labels.remove(label)
                 parts = label.split(",")
@@ -310,6 +335,7 @@ def get_sub_labels():
                     if not (part.strip()) in sub_labels:
                         sub_labels.append(part.strip())
 
+    sub_labels.sort()
     return jsonify(sub_labels)
 
 
@@ -617,7 +643,13 @@ def events():
             sub_label_clauses.append((Event.sub_label.is_null()))
 
         for label in filtered_sub_labels:
-            sub_label_clauses.append((Event.sub_label.cast("text") % f"*{label}*"))
+            sub_label_clauses.append(
+                (Event.sub_label.cast("text") == label)
+            )  # include exact matches
+
+            # include this label when part of a list
+            sub_label_clauses.append((Event.sub_label.cast("text") % f"*{label},*"))
+            sub_label_clauses.append((Event.sub_label.cast("text") % f"*, {label}*"))
 
         sub_label_clause = reduce(operator.or_, sub_label_clauses)
         clauses.append((sub_label_clause))
@@ -769,7 +801,10 @@ def config_save():
             logging.error(f"Error restarting Frigate: {e}")
             return "Config successfully saved, unable to restart Frigate", 200
 
-        return "Config successfully saved, restarting...", 200
+        return (
+            "Config successfully saved, restarting (this can take up to one minute)...",
+            200,
+        )
     else:
         return "Config successfully saved.", 200
 
@@ -867,7 +902,7 @@ def latest_frame(camera_name):
         response.headers["Content-Type"] = "image/jpeg"
         response.headers["Cache-Control"] = "no-store"
         return response
-    elif camera_name == "birdseye" and current_app.frigate_config.restream.birdseye:
+    elif camera_name == "birdseye" and current_app.frigate_config.birdseye.restream:
         frame = cv2.cvtColor(
             current_app.detected_frames_processor.get_current_frame(camera_name),
             cv2.COLOR_YUV2BGR_I420,
@@ -1272,12 +1307,12 @@ def ffprobe():
         output.append(
             {
                 "return_code": ffprobe.returncode,
-                "stderr": json.loads(ffprobe.stderr.decode("unicode_escape").strip())
-                if ffprobe.stderr.decode()
-                else {},
+                "stderr": ffprobe.stderr.decode("unicode_escape").strip()
+                if ffprobe.returncode != 0
+                else "",
                 "stdout": json.loads(ffprobe.stdout.decode("unicode_escape").strip())
-                if ffprobe.stdout.decode()
-                else {},
+                if ffprobe.returncode == 0
+                else "",
             }
         )
 

frigate/log.py

@@ -2,11 +2,16 @@
 import logging
 import threading
 import os
+import signal
 import queue
+import multiprocessing as mp
 from multiprocessing.queues import Queue
 from logging import handlers
+from typing import Optional
+from types import FrameType
 from setproctitle import setproctitle
-from typing import Deque
+from typing import Deque, Optional
+from types import FrameType
 from collections import deque
 
 from frigate.util import clean_camera_user_pass
@@ -34,10 +39,21 @@ def log_process(log_queue: Queue) -> None:
     threading.current_thread().name = f"logger"
     setproctitle("frigate.logger")
     listener_configurer()
+
+    stop_event = mp.Event()
+
+    def receiveSignal(signalNumber: int, frame: Optional[FrameType]) -> None:
+        stop_event.set()
+
+    signal.signal(signal.SIGTERM, receiveSignal)
+    signal.signal(signal.SIGINT, receiveSignal)
+
     while True:
         try:
-            record = log_queue.get(timeout=5)
+            record = log_queue.get(timeout=1)
         except (queue.Empty, KeyboardInterrupt):
+            if stop_event.is_set():
+                break
             continue
         logger = logging.getLogger(record.name)
         logger.handle(record)

frigate/object_detection.py

@@ -88,6 +88,7 @@ def run_detector(
     stop_event = mp.Event()
 
     def receiveSignal(signalNumber, frame):
+        logger.info("Signal to exit detection process...")
         stop_event.set()
 
     signal.signal(signal.SIGTERM, receiveSignal)
@@ -104,7 +105,7 @@ def run_detector(
 
     while not stop_event.is_set():
         try:
-            connection_id = detection_queue.get(timeout=5)
+            connection_id = detection_queue.get(timeout=1)
         except queue.Empty:
             continue
         input_frame = frame_manager.get(
@@ -125,6 +126,8 @@ def run_detector(
 
         avg_speed.value = (avg_speed.value * 9 + duration) / 10
 
+    logger.info("Exited detection process...")
+
 
 class ObjectDetectProcess:
     def __init__(
@@ -144,6 +147,9 @@ class ObjectDetectProcess:
         self.start_or_restart()
 
     def stop(self):
+        # if the process has already exited on its own, just return
+        if self.detect_process and self.detect_process.exitcode:
+            return
         self.detect_process.terminate()
         logging.info("Waiting for detection process to exit gracefully...")
         self.detect_process.join(timeout=30)
@@ -151,6 +157,7 @@ class ObjectDetectProcess:
             logging.info("Detection process didnt exit. Force killing...")
             self.detect_process.kill()
             self.detect_process.join()
+        logging.info("Detection process has exited...")
 
     def start_or_restart(self):
         self.detection_start.value = 0.0
@@ -173,12 +180,13 @@ class ObjectDetectProcess:
 
 
 class RemoteObjectDetector:
-    def __init__(self, name, labels, detection_queue, event, model_config):
+    def __init__(self, name, labels, detection_queue, event, model_config, stop_event):
         self.labels = labels
         self.name = name
         self.fps = EventsPerSecond()
         self.detection_queue = detection_queue
         self.event = event
+        self.stop_event = stop_event
         self.shm = mp.shared_memory.SharedMemory(name=self.name, create=False)
         self.np_shm = np.ndarray(
             (1, model_config.height, model_config.width, 3),
@@ -193,11 +201,14 @@ class RemoteObjectDetector:
     def detect(self, tensor_input, threshold=0.4):
         detections = []
 
+        if self.stop_event.is_set():
+            return 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)
+        result = self.event.wait(timeout=5.0)
 
         # if it timed out
         if result is None:

frigate/object_processing.py

@@ -901,7 +901,7 @@ class TrackedObjectProcessor(threading.Thread):
                     current_tracked_objects,
                     motion_boxes,
                     regions,
-                ) = self.tracked_objects_queue.get(True, 10)
+                ) = self.tracked_objects_queue.get(True, 1)
             except queue.Empty:
                 continue
 

frigate/output.py

@@ -38,16 +38,10 @@ class FFMpegConverter:
         quality: int,
         birdseye_rtsp: bool = False,
     ):
-        if birdseye_rtsp:
-            if os.path.exists(BIRDSEYE_PIPE):
-                os.remove(BIRDSEYE_PIPE)
+        self.bd_pipe = None
 
-            os.mkfifo(BIRDSEYE_PIPE, mode=0o777)
-            stdin = os.open(BIRDSEYE_PIPE, os.O_RDONLY | os.O_NONBLOCK)
-            self.bd_pipe = os.open(BIRDSEYE_PIPE, os.O_WRONLY)
-            os.close(stdin)
-        else:
-            self.bd_pipe = None
+        if birdseye_rtsp:
+            self.recreate_birdseye_pipe()
 
         ffmpeg_cmd = [
             "ffmpeg",
@@ -80,14 +74,36 @@ class FFMpegConverter:
             start_new_session=True,
         )
 
+    def recreate_birdseye_pipe(self) -> None:
+        if self.bd_pipe:
+            os.close(self.bd_pipe)
+
+        if os.path.exists(BIRDSEYE_PIPE):
+            os.remove(BIRDSEYE_PIPE)
+
+        os.mkfifo(BIRDSEYE_PIPE, mode=0o777)
+        stdin = os.open(BIRDSEYE_PIPE, os.O_RDONLY | os.O_NONBLOCK)
+        self.bd_pipe = os.open(BIRDSEYE_PIPE, os.O_WRONLY)
+        os.close(stdin)
+        self.reading_birdseye = False
+
     def write(self, b) -> None:
         self.process.stdin.write(b)
 
         if self.bd_pipe:
             try:
                 os.write(self.bd_pipe, b)
+                self.reading_birdseye = True
             except BrokenPipeError:
-                # catch error when no one is listening
+                if self.reading_birdseye:
+                    # we know the pipe was being read from and now it is not
+                    # so we should recreate the pipe to ensure no partially-read
+                    # frames exist
+                    logger.debug(
+                        "Recreating the birdseye pipe because it was read from and now is not"
+                    )
+                    self.recreate_birdseye_pipe()
+
                 return
 
     def read(self, length):
@@ -109,14 +125,15 @@ class FFMpegConverter:
 
 
 class BroadcastThread(threading.Thread):
-    def __init__(self, camera, converter, websocket_server):
+    def __init__(self, camera, converter, websocket_server, stop_event):
         super(BroadcastThread, self).__init__()
         self.camera = camera
         self.converter = converter
         self.websocket_server = websocket_server
+        self.stop_event = stop_event
 
     def run(self):
-        while True:
+        while not self.stop_event.is_set():
             buf = self.converter.read(65536)
             if buf:
                 manager = self.websocket_server.manager
@@ -426,7 +443,7 @@ def output_frames(config: FrigateConfig, video_output_queue):
             cam_config.live.quality,
         )
         broadcasters[camera] = BroadcastThread(
-            camera, converters[camera], websocket_server
+            camera, converters[camera], websocket_server, stop_event
         )
 
     if config.birdseye.enabled:
@@ -439,7 +456,7 @@ def output_frames(config: FrigateConfig, video_output_queue):
             config.birdseye.restream,
         )
         broadcasters["birdseye"] = BroadcastThread(
-            "birdseye", converters["birdseye"], websocket_server
+            "birdseye", converters["birdseye"], websocket_server, stop_event
         )
 
     websocket_thread.start()
@@ -463,7 +480,7 @@ def output_frames(config: FrigateConfig, video_output_queue):
                 current_tracked_objects,
                 motion_boxes,
                 regions,
-            ) = video_output_queue.get(True, 10)
+            ) = video_output_queue.get(True, 1)
         except queue.Empty:
             continue
 

frigate/record.py

@@ -100,19 +100,12 @@ class RecordingMaintainer(threading.Thread):
         for camera in grouped_recordings.keys():
             segment_count = len(grouped_recordings[camera])
             if segment_count > keep_count:
-                ####
-                # Need to find a way to tell if these are aging out based on retention settings or if the system is overloaded.
-                ####
-                # logger.warning(
-                #     f"Too many recording segments in cache for {camera}. Keeping the {keep_count} most recent segments out of {segment_count}, discarding the rest..."
-                # )
+                logger.warning(
+                    f"Unable to keep up with recording segments in cache for {camera}. Keeping the {keep_count} most recent segments out of {segment_count} and discarding the rest..."
+                )
                 to_remove = grouped_recordings[camera][:-keep_count]
                 for f in to_remove:
                     cache_path = f["cache_path"]
-                    ####
-                    # Need to find a way to tell if these are aging out based on retention settings or if the system is overloaded.
-                    ####
-                    # logger.warning(f"Discarding a recording segment: {cache_path}")
                     Path(cache_path).unlink(missing_ok=True)
                     self.end_time_cache.pop(cache_path, None)
                 grouped_recordings[camera] = grouped_recordings[camera][-keep_count:]
@@ -178,10 +171,12 @@ class RecordingMaintainer(threading.Thread):
                     else:
                         if duration == -1:
                             logger.warning(
-                                f"Failed to probe corrupt segment {f}: {p.returncode} - {p.stderr}"
+                                f"Failed to probe corrupt segment {cache_path}: {p.returncode} - {p.stderr}"
                             )
 
-                        logger.warning(f"Discarding a corrupt recording segment: {f}")
+                        logger.warning(
+                            f"Discarding a corrupt recording segment: {cache_path}"
+                        )
                         Path(cache_path).unlink(missing_ok=True)
                         continue
 
@@ -227,6 +222,19 @@ class RecordingMaintainer(threading.Thread):
                             cache_path,
                             record_mode,
                         )
+                    # if it doesn't overlap with an event, go ahead and drop the segment
+                    # if it ends more than the configured pre_capture for the camera
+                    else:
+                        pre_capture = self.config.cameras[
+                            camera
+                        ].record.events.pre_capture
+                        most_recently_processed_frame_time = self.recordings_info[
+                            camera
+                        ][-1][0]
+                        retain_cutoff = most_recently_processed_frame_time - pre_capture
+                        if end_time.timestamp() < retain_cutoff:
+                            Path(cache_path).unlink(missing_ok=True)
+                            self.end_time_cache.pop(cache_path, None)
                 # else retain days includes this segment
                 else:
                     record_mode = self.config.cameras[camera].record.retain.mode
@@ -411,6 +419,10 @@ class RecordingCleanup(threading.Thread):
             logger.debug(f"Checking tmp clip {p}.")
             if p.stat().st_mtime < (datetime.datetime.now().timestamp() - 60 * 1):
                 logger.debug("Deleting tmp clip.")
+
+                # empty contents of file before unlinking https://github.com/blakeblackshear/frigate/issues/4769
+                with open(p, "w"):
+                    pass
                 p.unlink(missing_ok=True)
 
     def expire_recordings(self):

frigate/restream.py

@@ -1,33 +0,0 @@
-"""Controls go2rtc restream."""
-
-
-import logging
-import requests
-
-from frigate.config import FrigateConfig
-from frigate.const import BIRDSEYE_PIPE
-from frigate.ffmpeg_presets import (
-    parse_preset_hardware_acceleration_encode,
-)
-
-logger = logging.getLogger(__name__)
-
-
-class RestreamApi:
-    """Control go2rtc relay API."""
-
-    def __init__(self, config: FrigateConfig) -> None:
-        self.config: FrigateConfig = config
-
-    def add_cameras(self) -> None:
-        """Add cameras to go2rtc."""
-        self.relays: dict[str, str] = {}
-
-        if self.config.birdseye.restream:
-            self.relays[
-                "birdseye"
-            ] = f"exec:{parse_preset_hardware_acceleration_encode(self.config.ffmpeg.hwaccel_args, f'-f rawvideo -pix_fmt yuv420p -video_size {self.config.birdseye.width}x{self.config.birdseye.height} -r 10 -i {BIRDSEYE_PIPE}', '-rtsp_transport tcp -f rtsp {output}')}"
-
-        for name, path in self.relays.items():
-            params = {"src": path, "name": name}
-            requests.put("http://127.0.0.1:1984/api/streams", params=params)

frigate/stats.py

@@ -22,7 +22,11 @@ from frigate.object_detection import ObjectDetectProcess
 logger = logging.getLogger(__name__)
 
 
-def get_latest_version() -> str:
+def get_latest_version(config: FrigateConfig) -> str:
+
+    if not config.telemetry.version_check:
+        return "disabled"
+
     try:
         request = requests.get(
             "https://api.github.com/repos/blakeblackshear/frigate/releases/latest",
@@ -40,6 +44,7 @@ def get_latest_version() -> str:
 
 
 def stats_init(
+    config: FrigateConfig,
     camera_metrics: dict[str, CameraMetricsTypes],
     detectors: dict[str, ObjectDetectProcess],
 ) -> StatsTrackingTypes:
@@ -47,7 +52,8 @@ def stats_init(
         "camera_metrics": camera_metrics,
         "detectors": detectors,
         "started": int(time.time()),
-        "latest_frigate_version": get_latest_version(),
+        "latest_frigate_version": get_latest_version(config),
+        "last_updated": int(time.time()),
     }
     return stats_tracking
 
@@ -239,6 +245,7 @@ def stats_snapshot(
         "latest_version": stats_tracking["latest_frigate_version"],
         "storage": {},
         "temperatures": get_temperatures(),
+        "last_updated": int(time.time()),
     }
 
     for path in [RECORD_DIR, CLIPS_DIR, CACHE_DIR, "/dev/shm"]:
@@ -276,8 +283,10 @@ class StatsEmitter(threading.Thread):
     def run(self) -> None:
         time.sleep(10)
         while not self.stop_event.wait(self.config.mqtt.stats_interval):
+            logger.debug("Starting stats collection")
             stats = stats_snapshot(
                 self.config, self.stats_tracking, self.hwaccel_errors
             )
             self.dispatcher.publish("stats", json.dumps(stats), retain=False)
-        logger.info(f"Exiting watchdog...")
+            logger.debug("Finished stats collection")
+        logger.info(f"Exiting stats emitter...")

frigate/test/test_camera_pw.py

@@ -36,3 +36,14 @@ class TestUserPassCleanup(unittest.TestCase):
         """Test that no change is made to path with no special characters."""
         escaped = escape_special_characters(self.rtsp_with_pass)
         assert escaped == self.rtsp_with_pass
+
+
+class TestUserPassMasking(unittest.TestCase):
+    def setUp(self) -> None:
+        self.rtsp_log_message = "Did you mean file:rtsp://user:password@192.168.1.3:554"
+
+    def test_rtsp_in_log_message(self):
+        """Test that the rtsp url in a log message is espaced."""
+        escaped = clean_camera_user_pass(self.rtsp_log_message)
+        print(f"The escaped is {escaped}")
+        assert escaped == "Did you mean file:rtsp://*:*@192.168.1.3:554"

frigate/types.py

@@ -29,3 +29,4 @@ class StatsTrackingTypes(TypedDict):
     detectors: dict[str, ObjectDetectProcess]
     started: int
     latest_frigate_version: str
+    last_updated: int

frigate/util.py

@@ -14,7 +14,7 @@ from abc import ABC, abstractmethod
 from collections import Counter
 from collections.abc import Mapping
 from multiprocessing import shared_memory
-from typing import Any, AnyStr, Tuple
+from typing import Any, AnyStr, Optional, Tuple
 
 import cv2
 import numpy as np
@@ -722,7 +722,7 @@ def load_labels(path, encoding="utf-8"):
 
 def clean_camera_user_pass(line: str) -> str:
     """Removes user and password from line."""
-    if line.startswith("rtsp://"):
+    if "rtsp://" in line:
         return re.sub(REGEX_RTSP_CAMERA_USER_PASS, "://*:*@", line)
     else:
         return re.sub(REGEX_HTTP_CAMERA_USER_PASS, "user=*&password=*", line)
@@ -926,6 +926,17 @@ def get_nvidia_gpu_stats() -> dict[str, str]:
         "--format=csv",
     ]
 
+    if (
+        "CUDA_VISIBLE_DEVICES" in os.environ
+        and os.environ["CUDA_VISIBLE_DEVICES"].isdigit()
+    ):
+        nvidia_smi_command.extend(["--id", os.environ["CUDA_VISIBLE_DEVICES"]])
+    elif (
+        "NVIDIA_VISIBLE_DEVICES" in os.environ
+        and os.environ["NVIDIA_VISIBLE_DEVICES"].isdigit()
+    ):
+        nvidia_smi_command.extend(["--id", os.environ["NVIDIA_VISIBLE_DEVICES"]])
+
     p = sp.run(
         nvidia_smi_command,
         encoding="ascii",
@@ -965,9 +976,13 @@ def ffprobe_stream(path: str) -> sp.CompletedProcess:
     return sp.run(ffprobe_cmd, capture_output=True)
 
 
-def vainfo_hwaccel() -> sp.CompletedProcess:
+def vainfo_hwaccel(device_name: Optional[str] = None) -> sp.CompletedProcess:
     """Run vainfo."""
-    ffprobe_cmd = ["vainfo"]
+    ffprobe_cmd = (
+        ["vainfo"]
+        if not device_name
+        else ["vainfo", "--display", "drm", "--device", f"/dev/dri/{device_name}"]
+    )
     return sp.run(ffprobe_cmd, capture_output=True)