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205 Commits

Author SHA1 Message Date
Blake Blackshear
714d76887d use sqlitequeuedb 2021-01-24 06:53:37 -06:00
James Carlos
0c0e1416ff Update documentation link in sidebar to new docs 2021-01-23 07:00:51 -06:00
Blake Blackshear
c6044ba9a1 add debug log when cache is cleaned up 2021-01-22 17:54:30 -06:00
Blake Blackshear
a7739a0a62 if detection stopped, assume the container needs a restart 2021-01-22 16:58:14 -06:00
Blake Blackshear
84ed126db6 fix table in docs 2021-01-22 08:02:09 -06:00
Blake Blackshear
a76f54c326 readme update 2021-01-22 07:48:40 -06:00
Paul Armstrong
b93d354c60 docs: move docs to docusaurus 2021-01-22 07:33:27 -06:00
Blake Blackshear
14d218af46 rate limit tracked object updates to every 5 seconds 2021-01-22 06:40:01 -06:00
Blake Blackshear
bd4973e3f7 add snapshot endpoint that works during the event fixes #575 2021-01-21 18:49:20 -06:00
Blake Blackshear
d94f81969b get the thumbnail instead of the full frame 2021-01-21 17:28:49 -06:00
Blake Blackshear
d32fed2c01 dont wait forever for the cache 2021-01-21 17:26:53 -06:00
Blake Blackshear
7b4e510b95 fix initial switch state 2021-01-20 21:56:43 -06:00
Blake Blackshear
bb4f79cdfe handle exception when frame isnt in cache 2021-01-20 21:56:43 -06:00
Paul Armstrong
e32e69c2d0 feat(web): AutoUpdatingCameraImage to replace MJPEG feed 2021-01-20 21:15:25 -06:00
Paul Armstrong
a71ae053e4 fix(web): set default path to cameras view 2021-01-20 06:46:25 -06:00
Blake Blackshear
fcc9cd56cc update index.js to use baseUrl 2021-01-19 21:31:17 -06:00
Blake Blackshear
b981a3110b first pass at subfilter for ingress support 2021-01-19 19:58:42 -06:00
Paul Armstrong
2da50cc538 fix(web): dark mode text color fixes
fixes #544
2021-01-19 18:02:08 -06:00
Blake Blackshear
cb4a0aa594 ensure error message with missing config is printed 2021-01-19 18:00:26 -06:00
Blake Blackshear
52da1fddc7 update notification example 2021-01-19 07:41:45 -06:00
Blake Blackshear
14645ce4f8 fix mqtt switch handling 2021-01-19 07:41:17 -06:00
Blake Blackshear
97ce7f3028 initialize detection correctly from config 2021-01-19 07:40:51 -06:00
Blake Blackshear
3b5302f6ea update wheels version 2021-01-19 06:19:28 -06:00
Blake Blackshear
74eb16f213 pin numpy 2021-01-19 06:16:44 -06:00
Paul Armstrong
a3d6bf214c feat(web): layout & auto-update debug page 2021-01-18 12:57:09 -06:00
Paul Armstrong
16121ffd00 fix(web): ensure button bg colors show in prod builds 2021-01-18 11:39:42 -06:00
Blake Blackshear
91628bd5d8 fix zone config 2021-01-18 06:38:26 -06:00
Blake Blackshear
b10b64bf57 no longer need special aarch64 wheels build 2021-01-17 08:18:54 -06:00
Blake Blackshear
749c34be9f versioning wheels image 2021-01-16 20:03:42 -06:00
Blake Blackshear
8cfdfab985 move wheels to build container 2021-01-16 19:56:21 -06:00
Paul Armstrong
ef25f8a31e fix(web): mask zone editor to handle object filter masks
Includes additional handlers for adding/removing masks, as well as click to copy configs

fixes #523
2021-01-16 19:09:18 -06:00
Paul Armstrong
2a0551a08a feat(web): hash build files to avoid cache issues 2021-01-16 19:09:18 -06:00
Paul Armstrong
0b80419f15 fix(web): ensure mask editing works in firefox 2021-01-16 19:09:18 -06:00
Blake Blackshear
0dc81117aa docs updates for notification changes 2021-01-16 19:09:18 -06:00
Blake Blackshear
49b29d72a7 rename snapshot endpoint to thumbnail 2021-01-16 19:09:18 -06:00
Blake Blackshear
21ece238ff mqtt tweaks for switches 2021-01-16 19:09:18 -06:00
Blake Blackshear
f6ba3f2daa allow summary data to be filtered 2021-01-16 19:09:18 -06:00
Blake Blackshear
bb0d3cb59a update readme 2021-01-16 19:09:18 -06:00
Blake Blackshear
ca9b6d6c5c snapshots config typo 2021-01-16 19:09:18 -06:00
Blake Blackshear
3103ad2bfe update object filters to inherit like motion settings 2021-01-16 19:09:18 -06:00
Blake Blackshear
eab3998ad0 remove support for image masks 2021-01-16 19:09:18 -06:00
Blake Blackshear
a3dfd3a8e0 don't fallback to the CPU
fixes #381
2021-01-16 19:09:18 -06:00
Blake Blackshear
f1c3087775 add change type to events topic
#476
2021-01-16 19:09:18 -06:00
Blake Blackshear
1be91ed3f2 ensure each camera has a detect role set 2021-01-16 19:09:18 -06:00
Blake Blackshear
fd83c4f229 add detection enable to config
fixes #482
2021-01-16 19:09:18 -06:00
Blake Blackshear
de99221ad5 add env vars to config
fixes #509
2021-01-16 19:09:18 -06:00
Blake Blackshear
6892ce56ac enable and disable detection via mqtt 2021-01-16 19:09:18 -06:00
Blake Blackshear
41cea6f62e move setproctitle to prebuilt wheel location 2021-01-16 19:09:18 -06:00
Blake Blackshear
4bbffa97df switch to docker based web builds 2021-01-16 19:09:18 -06:00
Blake Blackshear
614f8abfef handle null thumbnail data 2021-01-16 19:09:18 -06:00
Blake Blackshear
14289b5fd1 add mask as object filter 2021-01-16 19:09:18 -06:00
Blake Blackshear
4164beff1c add object masks and move moton mask 2021-01-16 19:09:18 -06:00
Blake Blackshear
9b3ab486de add missing global shapshots config 2021-01-16 19:09:18 -06:00
Patrick Decat
232a49814a Add missing migrations in docker images 2021-01-16 19:09:18 -06:00
Paul Armstrong
6c61f0b135 fix(web): ensure postcss and postcss-cli are marked as deps 2021-01-16 19:09:18 -06:00
Patrick Decat
c572cec253 Fix Makefile to ignore gpg signatures in commits 2021-01-16 19:09:18 -06:00
Paul Armstrong
d4941f2a5f feat!: web user interface 2021-01-16 19:09:18 -06:00
Blake Blackshear
bf5ec2f65f try to cleanup some migration logging 2021-01-16 19:09:18 -06:00
Blake Blackshear
f8e21584b6 add retention settings for snapshots 2021-01-16 19:09:18 -06:00
Blake Blackshear
3cba83f84b init variables on camera state 2021-01-16 19:09:18 -06:00
Blake Blackshear
dcb4255d7e handle process exit exceptions 2021-01-16 19:09:18 -06:00
Blake Blackshear
9fc3c0dc2f store has_clip and has_snapshot on events 2021-01-16 19:09:18 -06:00
Blake Blackshear
a78830b48e add database migrations 2021-01-16 19:09:18 -06:00
Nat Morris
949fbadcdc Set titles for forked processes 2021-01-16 19:09:18 -06:00
Nat Morris
12c9e63b13 New stats module, refactor stats generation out of http module.
StatsEmitter thread to send stats to MQTT every 60 seconds by default, optional stats_interval config value.

New service stats attribute, containing uptime in seconds and version.
2021-01-16 19:09:18 -06:00
Blake Blackshear
157b230702 turn off snapshots via mqtt 2021-01-16 19:09:18 -06:00
Blake Blackshear
c69299d659 enable turning clips on and off via mqtt 2021-01-16 19:09:18 -06:00
Blake Blackshear
285d630770 cleanup save_Clips/clips inconsistency 2021-01-16 19:09:18 -06:00
Blake Blackshear
b9318092f4 add jpg snapshots to disk and clean up config 2021-01-16 19:09:18 -06:00
Paul Armstrong
905c361d52 fix: ensure timestamp is drawn above mask 2021-01-13 06:55:10 -06:00
Leonardo Merza
4443abbc49 add notes for Blue Iris RTSP support 2020-12-31 08:36:03 -06:00
yllar
dabb36ad93 Update README.md
change tmpfs size from 100MB to 1GB
2020-12-31 08:33:31 -06:00
kluszczyn
2bc8736fd9 Recordings - fix expire_file 2020-12-22 09:58:26 -05:00
Blake Blackshear
e9b3b09cc2 add clips endpoint to readme 2020-12-22 09:58:26 -05:00
Blake Blackshear
ca337c32b4 better mask error handling 2020-12-22 09:58:26 -05:00
Blake Blackshear
24b8bd7c85 fix tmpfs 2020-12-22 09:58:26 -05:00
Blake Blackshear
3ad75a441d remove redundant error output 2020-12-20 08:04:54 -06:00
Blake Blackshear
f006e9be8d use CACHE_DIR constant 2020-12-20 08:04:54 -06:00
Blake Blackshear
03f3ba8008 enable mounting tmpfs volume on start 2020-12-20 08:04:54 -06:00
Blake Blackshear
96a44eb7bf docs and issue template 2020-12-20 07:37:44 -06:00
Blake Blackshear
006782fe3d update process clip for latest changes 2020-12-20 07:37:44 -06:00
Blake Blackshear
ff3e95bbf7 publish event updates on zone change 2020-12-20 07:37:44 -06:00
Blake Blackshear
4b95a37e65 readme updates 2020-12-20 07:37:44 -06:00
Blake Blackshear
38c661b3a8 handle scenario with empty cache 2020-12-20 07:37:44 -06:00
Blake Blackshear
0d6e4f6a66 add qsv support to amd64 image 2020-12-20 07:37:44 -06:00
Blake Blackshear
1ad2219f1c add num_threads fixes #322 2020-12-20 07:37:44 -06:00
Blake Blackshear
dfcdd289c3 optimize clips fixes #299 2020-12-20 07:37:44 -06:00
Blake Blackshear
32f5f2cca9 add post_capture option 2020-12-20 07:37:44 -06:00
Blake Blackshear
24bfe9f3e8 re-crop to the object rather than the region 2020-12-20 07:37:44 -06:00
Blake Blackshear
004667dc99 allow runtime drawing settings for mjpeg and latest 2020-12-20 07:37:44 -06:00
Blake Blackshear
9d785dc781 allow the mask to be a list of masks 2020-12-20 07:37:44 -06:00
Blake Blackshear
cbba5a7af0 adding version endpoint 2020-12-20 07:37:44 -06:00
Blake Blackshear
29b29ee349 configurable motion and detect settings 2020-12-20 07:37:44 -06:00
Blake Blackshear
9ad53e09af update gitignore 2020-12-20 07:37:44 -06:00
Blake Blackshear
c9278991c9 fix test 2020-12-20 07:37:44 -06:00
Blake Blackshear
729de48934 switch default threshold to .7 2020-12-20 07:37:44 -06:00
Blake Blackshear
7476bff5fb allow process clips to output a csv of scores 2020-12-20 07:37:44 -06:00
Blake Blackshear
1e9eae8d9a allow db path to be customized 2020-12-20 07:37:44 -06:00
Blake Blackshear
8113a53381 add telegram example 2020-12-20 07:37:44 -06:00
Blake Blackshear
72833686f1 fix process clip 2020-12-20 07:37:44 -06:00
Blake Blackshear
096c21f105 handle empty string args 2020-12-20 07:37:44 -06:00
Blake Blackshear
181f66357b allow region to extend beyond the frame 2020-12-20 07:37:44 -06:00
tubalainen
a54fbc483c Updated file
ref: https://github.com/blakeblackshear/frigate/issues/373
2020-12-12 10:38:02 -06:00
Blake Blackshear
92d5a002d3 swap width and height to reduce confusion 2020-12-10 19:22:03 -06:00
Blake Blackshear
f9184903d7 updating compose example to reduce confusion 2020-12-10 19:02:08 -06:00
Blake Blackshear
91cde6ce7b allow defining model shape and switch to mobiledet as default model 2020-12-09 07:22:26 -06:00
Blake Blackshear
186a4587c7 add model dimensions to config 2020-12-09 07:22:26 -06:00
Patrick Decat
6049acb1f3 Document beta addon host 2020-12-08 07:25:13 -06:00
Blake Blackshear
2d2ebf313c make shm consistent with compose 2020-12-08 07:24:37 -06:00
tubalainen
3d329dcb52 Updated docker command line...
...to correspond with 0.8.0 feature set.
2020-12-08 07:24:37 -06:00
Blake Blackshear
06854fc34f readme cleanup fixes #332 2020-12-07 18:00:12 -06:00
Blake Blackshear
e01e14d866 handle and warn if roles dont match enabled features 2020-12-07 08:07:35 -06:00
Blake Blackshear
3dfd251ebb camera recommendations 2020-12-07 07:36:29 -06:00
Blake Blackshear
dcea807f77 catch all psutil errors 2020-12-07 07:16:48 -06:00
Blake Blackshear
87d83ff33a clarify height width and fps 2020-12-07 07:16:28 -06:00
Blake Blackshear
1d31cbdf0d readme updates 2020-12-06 14:25:28 -06:00
Blake Blackshear
e05b27b8dc tweak screenshots 2020-12-06 08:27:03 -06:00
Blake Blackshear
7111bd208e readme updates 2020-12-06 08:25:25 -06:00
Blake Blackshear
04a80280da set ffmpeg image versions 2020-12-06 07:09:14 -06:00
Blake Blackshear
3bda092140 comment you zeroconf 2020-12-06 07:05:45 -06:00
Blake Blackshear
9086820479 fix flask logger config 2020-12-05 19:05:03 -06:00
Blake Blackshear
d1da57aedc fix graceful exits 2020-12-05 12:06:07 -06:00
Blake Blackshear
6ded12c566 better exception handling 2020-12-05 12:06:07 -06:00
Blake Blackshear
70352566a7 fix default args 2020-12-05 12:06:07 -06:00
Blake Blackshear
cf5cc86588 fix fontconfig issue 2020-12-05 08:48:46 -06:00
Blake Blackshear
e41db49ab8 doc updates 2020-12-05 08:48:46 -06:00
Blake Blackshear
1b7effafee update some default config values 2020-12-05 08:48:46 -06:00
Blake Blackshear
69e9e0b0bf log level configuration 2020-12-05 08:48:46 -06:00
Blake Blackshear
89624df411 no need to write jpg disk 2020-12-05 08:48:46 -06:00
Blake Blackshear
d1a7405211 dont delete the recordings directory 2020-12-05 08:48:46 -06:00
Blake Blackshear
040f8c7c20 default save_clips objects 2020-12-05 08:48:46 -06:00
Blake Blackshear
6d7acabf4c add logging for directory creation 2020-12-05 08:48:46 -06:00
Blake Blackshear
45a8b42157 exit on config errors 2020-12-05 08:48:46 -06:00
Blake Blackshear
8785be24b7 add zeroconf discovery 2020-12-05 08:48:46 -06:00
Blake Blackshear
cc0812540c optional android notification aspect ratio 2020-12-05 08:48:46 -06:00
Blake Blackshear
5cf38ca4f7 reduce min timestamp size 2020-12-05 08:48:46 -06:00
Blake Blackshear
7e4395c30e publish object counts rather than on/off 2020-12-05 08:48:46 -06:00
Blake Blackshear
598d3aeda2 make directories constants 2020-12-05 08:48:46 -06:00
Blake Blackshear
012dbf81f7 cleanup empty directories 2020-12-05 08:48:46 -06:00
Blake Blackshear
f869def12e serve up recordings with nginx 2020-12-05 08:48:46 -06:00
Blake Blackshear
31f7666337 add recording maintenance 2020-12-05 08:48:46 -06:00
Blake Blackshear
9e339acbca add record settings to config 2020-12-05 08:48:46 -06:00
Blake Blackshear
8f8054a299 fix log timeout 2020-12-05 08:48:46 -06:00
Blake Blackshear
f7021eec4c ensure zones dont have the same name as a camera 2020-12-05 08:48:46 -06:00
Blake Blackshear
c124153da4 graceful exit of subprocesses 2020-12-05 08:48:46 -06:00
Blake Blackshear
706c2f921e add multiple streams per camera 2020-12-05 08:48:46 -06:00
Blake Blackshear
de1d66bcb9 fix fontconfig error 2020-12-05 08:48:46 -06:00
Blake Blackshear
4502ca8e80 add support for rebroadcasting as rtmp 2020-12-05 08:48:46 -06:00
Blake Blackshear
32a66fe5e8 avoid null error 2020-12-05 08:48:46 -06:00
Blake Blackshear
e1251aafdb minimize logging 2020-12-05 08:48:46 -06:00
Blake Blackshear
587494068c oops 2020-12-05 08:48:46 -06:00
Blake Blackshear
7a4d90a47a only publish end events for true positives 2020-12-05 08:48:46 -06:00
Blake Blackshear
d06b587d33 ensure all events are cleaned up 2020-12-05 08:48:46 -06:00
Blake Blackshear
eef70e434b publish events like a change feed 2020-12-05 08:48:46 -06:00
Blake Blackshear
b39da3ee01 pull from memory if event in progress 2020-12-05 08:48:46 -06:00
Blake Blackshear
e07c4e0d8c add endpoint for event thumbnail 2020-12-05 08:48:46 -06:00
Blake Blackshear
2f41ba6f77 add service to get by id 2020-12-05 08:48:46 -06:00
Blake Blackshear
bf95af0f22 add zones to summary data 2020-12-05 08:48:46 -06:00
Blake Blackshear
2e15847f86 sleep in the right place 2020-12-05 08:48:46 -06:00
Blake Blackshear
5992e85dc8 manage events for unlisted cameras 2020-12-05 08:48:46 -06:00
Blake Blackshear
24d416b869 add event cleanup thread 2020-12-05 08:48:46 -06:00
Blake Blackshear
5dbf368c4b add clip retention to config 2020-12-05 08:48:46 -06:00
Blake Blackshear
7d56fe105f use localtime in group by 2020-12-05 08:48:46 -06:00
Blake Blackshear
e9327aa18c new http endpoints 2020-12-05 08:48:46 -06:00
Blake Blackshear
df56e079de add parameters to event query 2020-12-05 08:48:46 -06:00
Blake Blackshear
8c5bfbd187 only save events when a clip is created 2020-12-05 08:48:46 -06:00
Blake Blackshear
2613e74f97 add bas64 encoded thumbnail to the database 2020-12-05 08:48:46 -06:00
Blake Blackshear
9a7fb96357 check for None value thumbnail_data 2020-12-05 08:48:46 -06:00
Blake Blackshear
37f9dfed92 only set thumbnail data if object is a true positive 2020-12-05 08:48:46 -06:00
Blake Blackshear
68c1544808 add some debug logging to frame cache 2020-12-05 08:48:46 -06:00
Blake Blackshear
2b3d3c5824 dont use a property 2020-12-05 08:48:46 -06:00
Blake Blackshear
efea87a3ea attempt to fix missing thumbs 2020-12-05 08:48:46 -06:00
Blake Blackshear
977785fb10 better frame handling for best images 2020-12-05 08:48:46 -06:00
Blake Blackshear
4e113e62c0 cleanup false_positive attribute 2020-12-05 08:48:46 -06:00
Blake Blackshear
5080b2d781 ensure some valid thumbnail is available 2020-12-05 08:48:46 -06:00
Blake Blackshear
5cfd6d1edb don't save thumbnails for false positives 2020-12-05 08:48:46 -06:00
Blake Blackshear
27ae4d8ab0 cleanup 2020-12-05 08:48:46 -06:00
Blake Blackshear
3db33302ec reduce logging 2020-12-05 08:48:46 -06:00
Blake Blackshear
f2910d48e0 fixes 2020-12-05 08:48:46 -06:00
Blake Blackshear
cf0f8892e2 update nginx config 2020-12-05 08:48:46 -06:00
Blake Blackshear
4d22e172ff stop writing json file to disk 2020-12-05 08:48:46 -06:00
Blake Blackshear
8874a55b0f create tracked object class and save thumbnails 2020-12-05 08:48:46 -06:00
Blake Blackshear
24b703a875 maintain thumbnail frames for tracked objects 2020-12-05 08:48:46 -06:00
Blake Blackshear
8b8f5b5c40 sort imports 2020-12-05 08:48:46 -06:00
Blake Blackshear
eac81136d2 naming threads and processes for logs 2020-12-05 08:48:46 -06:00
Blake Blackshear
d1e27b43ea use a queue for logging 2020-12-05 08:48:46 -06:00
Blake Blackshear
105dcb7094 create typed config classes 2020-12-05 08:48:46 -06:00
Blake Blackshear
c0a16efdc1 add nginx and change default file locations 2020-12-05 08:48:46 -06:00
Blake Blackshear
2800c54743 config setup 2020-12-05 08:48:46 -06:00
Blake Blackshear
2a24e8abcb add watchdog 2020-12-05 08:48:46 -06:00
Blake Blackshear
37ee746ebb add back all endpoints 2020-12-05 08:48:46 -06:00
Blake Blackshear
7ee6bfe855 add event processor 2020-12-05 08:48:46 -06:00
Blake Blackshear
40f57a8754 add capture processes 2020-12-05 08:48:46 -06:00
Blake Blackshear
e0da462223 add camera processors 2020-12-05 08:48:46 -06:00
Blake Blackshear
47a9fc4292 add detected_frames_processor 2020-12-05 08:48:46 -06:00
Blake Blackshear
03fe5158db add detector processes 2020-12-05 08:48:46 -06:00
Blake Blackshear
72be6b480d init db/http/mqtt 2020-12-05 08:48:46 -06:00
Blake Blackshear
a8964dcc1f app container and config schema 2020-12-05 08:48:46 -06:00
Blake Blackshear
732e91ee42 move primary script into the module 2020-12-05 08:48:46 -06:00
Blake Blackshear
27da080ce6 saving events and simple endpoint 2020-12-05 08:48:46 -06:00
Blake Blackshear
075d06b108 basic database model and api endpoint 2020-12-05 08:48:46 -06:00
Blake Blackshear
95dc17ffcd store events in tinydb 2020-12-05 08:48:46 -06:00
Blake Blackshear
408b53f8b4 update events model 2020-12-05 08:48:46 -06:00
Marc Seeger
3ef68a297a Add support for AMD Ryzen iGPU (fixes #311)
This package will add support for the iGPU of AMD Ryzen and presumably a few more AMD cards.
See details of the package here: https://packages.ubuntu.com/focal/mesa-va-drivers
It also adds support for the open source Nvidia Nouveau driver according to https://wiki.debian.org/HardwareVideoAcceleration
2020-12-05 07:00:07 -06:00
Michael Wei
3e9b3711dc Use cv2.bitwise_and instead of numpy.where 2020-12-05 06:59:28 -06:00
405 changed files with 24444 additions and 58810 deletions

View File

@@ -1,78 +0,0 @@
{
"name": "Frigate Devcontainer",
"dockerComposeFile": "../docker-compose.yml",
"service": "devcontainer",
"workspaceFolder": "/workspace/frigate",
"initializeCommand": ".devcontainer/initialize.sh",
"postCreateCommand": ".devcontainer/post_create.sh",
"overrideCommand": false,
"remoteUser": "vscode",
"features": {
"ghcr.io/devcontainers/features/common-utils:1": {}
},
"forwardPorts": [5000, 5001, 5173, 1935, 8554, 8555],
"portsAttributes": {
"5000": {
"label": "NGINX",
"onAutoForward": "silent"
},
"5001": {
"label": "Frigate API",
"onAutoForward": "silent"
},
"5173": {
"label": "Vite Server",
"onAutoForward": "silent"
},
"1935": {
"label": "RTMP",
"onAutoForward": "silent"
},
"8554": {
"label": "gortc RTSP",
"onAutoForward": "silent"
},
"8555": {
"label": "go2rtc WebRTC",
"onAutoForward": "silent"
}
},
"extensions": [
"ms-python.vscode-pylance",
"ms-python.python",
"visualstudioexptteam.vscodeintellicode",
"mhutchie.git-graph",
"ms-azuretools.vscode-docker",
"streetsidesoftware.code-spell-checker",
"esbenp.prettier-vscode",
"dbaeumer.vscode-eslint",
"mikestead.dotenv",
"csstools.postcss",
"blanu.vscode-styled-jsx",
"bradlc.vscode-tailwindcss"
],
"settings": {
"remote.autoForwardPorts": false,
"python.linting.pylintEnabled": true,
"python.linting.enabled": true,
"python.formatting.provider": "black",
"python.languageServer": "Pylance",
"editor.formatOnPaste": false,
"editor.formatOnSave": true,
"editor.formatOnType": true,
"python.testing.pytestEnabled": false,
"python.testing.unittestEnabled": true,
"python.testing.unittestArgs": ["-v", "-s", "./frigate/test"],
"files.trimTrailingWhitespace": true,
"eslint.workingDirectories": ["./web"],
"[json][jsonc]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
},
"[jsx][js][tsx][ts]": {
"editor.codeActionsOnSave": ["source.addMissingImports", "source.fixAll"],
"editor.tabSize": 2
},
"cSpell.ignoreWords": ["rtmp"],
"cSpell.words": ["preact"]
}
}

View File

@@ -1,13 +0,0 @@
#!/bin/bash
set -euo pipefail
# These folders needs to be created and owned by the host user
mkdir -p debug web/dist
if [[ -f "config/config.yml" ]]; then
echo "config/config.yml already exists, skipping initialization" >&2
else
echo "initializing config/config.yml" >&2
cp -fv config/config.yml.example config/config.yml
fi

View File

@@ -1,17 +0,0 @@
#!/bin/bash
set -euxo pipefail
# Frigate normal container runs as root, so it have permission to create
# the folders. But the devcontainer runs as the host user, so we need to
# create the folders and give the host user permission to write to them.
sudo mkdir -p /media/frigate
sudo chown -R "$(id -u):$(id -g)" /media/frigate
make version
cd web
npm install
npm run build

View File

@@ -4,13 +4,4 @@ docs/
debug
config/
*.pyc
.git
core
*.mp4
*.jpg
*.db
*.ts
web/dist/
web/node_modules/
web/.npm
.git

4
.github/FUNDING.yml vendored
View File

@@ -1,3 +1 @@
github:
- blakeblackshear
- NickM-27
github: blakeblackshear

56
.github/ISSUE_TEMPLATE/bug_report.md vendored Normal file
View File

@@ -0,0 +1,56 @@
---
name: Bug report or Support request
about: ''
title: ''
labels: ''
assignees: ''
---
**Describe the bug**
A clear and concise description of what your issue is.
**Version of frigate**
Output from `/version`
**Config file**
Include your full config file wrapped in triple back ticks.
```yaml
config here
```
**Frigate container logs**
```
Include relevant log output here
```
**Frigate stats**
```json
Output from frigate's /stats endpoint
```
**FFprobe from your camera**
Run the following command and paste output below
```
ffprobe <stream_url>
```
**Screenshots**
If applicable, add screenshots to help explain your problem.
**Computer Hardware**
- OS: [e.g. Ubuntu, Windows]
- Install method: [e.g. Addon, Docker Compose, Docker Command]
- Virtualization: [e.g. Proxmox, Virtualbox]
- Coral Version: [e.g. USB, PCIe, None]
- Network Setup: [e.g. Wired, WiFi]
**Camera Info:**
- Manufacturer: [e.g. Dahua]
- Model: [e.g. IPC-HDW5231R-ZE]
- Resolution: [e.g. 720p]
- FPS: [e.g. 5]
**Additional context**
Add any other context about the problem here.

View File

@@ -1,107 +0,0 @@
name: Camera Support Request
description: Support for setting up cameras in Frigate
title: "[Camera Support]: "
labels: ["support", "triage"]
assignees: []
body:
- type: textarea
id: description
attributes:
label: Describe the problem you are having
validations:
required: true
- type: input
id: version
attributes:
label: Version
description: Visible on the Debug page in the Web UI
validations:
required: true
- type: textarea
id: config
attributes:
label: Frigate config file
description: This will be automatically formatted into code, so no need for backticks.
render: yaml
validations:
required: true
- type: textarea
id: logs
attributes:
label: Relevant log output
description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
render: shell
validations:
required: true
- type: textarea
id: ffprobe
attributes:
label: FFprobe output from your camera
description: Run `ffprobe <camera_url>` and provide output below
render: shell
validations:
required: true
- type: textarea
id: stats
attributes:
label: Frigate stats
description: Output from frigate's /api/stats endpoint
render: json
- type: dropdown
id: os
attributes:
label: Operating system
options:
- HassOS
- Debian
- Other Linux
- Proxmox
- UNRAID
- Windows
- Other
validations:
required: true
- type: dropdown
id: install-method
attributes:
label: Install method
options:
- HassOS Addon
- Docker Compose
- Docker CLI
validations:
required: true
- type: dropdown
id: coral
attributes:
label: Coral version
options:
- USB
- PCIe
- M.2
- Dev Board
- Other
- CPU (no coral)
validations:
required: true
- type: dropdown
id: network
attributes:
label: Network connection
options:
- Wired
- Wireless
- Mixed
validations:
required: true
- type: input
id: camera
attributes:
label: Camera make and model
description: Dahua, hikvision, amcrest, reolink, etc and model number
validations:
required: true
- type: textarea
id: other
attributes:
label: Any other information that may be helpful

View File

@@ -1 +0,0 @@
blank_issues_enabled: false

View File

@@ -1,82 +0,0 @@
name: Config Support Request
description: Support for Frigate configuration
title: "[Config Support]: "
labels: ["support", "triage"]
assignees: []
body:
- type: textarea
id: description
attributes:
label: Describe the problem you are having
validations:
required: true
- type: input
id: version
attributes:
label: Version
description: Visible on the Debug page in the Web UI
validations:
required: true
- type: textarea
id: config
attributes:
label: Frigate config file
description: This will be automatically formatted into code, so no need for backticks.
render: yaml
validations:
required: true
- type: textarea
id: logs
attributes:
label: Relevant log output
description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
render: shell
validations:
required: true
- type: textarea
id: stats
attributes:
label: Frigate stats
description: Output from frigate's /api/stats endpoint
render: json
- type: dropdown
id: os
attributes:
label: Operating system
options:
- HassOS
- Debian
- Other Linux
- Proxmox
- UNRAID
- Windows
- Other
validations:
required: true
- type: dropdown
id: install-method
attributes:
label: Install method
options:
- HassOS Addon
- Docker Compose
- Docker CLI
validations:
required: true
- type: dropdown
id: coral
attributes:
label: Coral version
options:
- USB
- PCIe
- M.2
- Dev Board
- Other
- CPU (no coral)
validations:
required: true
- type: textarea
id: other
attributes:
label: Any other information that may be helpful

View File

@@ -1,84 +0,0 @@
name: EdgeTpu Support Request
description: Support for setting up EdgeTPU in Frigate
title: "[EdgeTPU Support]: "
labels: ["support", "triage"]
assignees: []
body:
- type: textarea
id: description
attributes:
label: Describe the problem you are having
validations:
required: true
- type: input
id: version
attributes:
label: Version
description: Visible on the Debug page in the Web UI
validations:
required: true
- type: textarea
id: config
attributes:
label: Frigate config file
description: This will be automatically formatted into code, so no need for backticks.
render: yaml
validations:
required: true
- type: textarea
id: docker
attributes:
label: docker-compose file or Docker CLI command
description: This will be automatically formatted into code, so no need for backticks.
render: yaml
validations:
required: true
- type: textarea
id: logs
attributes:
label: Relevant log output
description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
render: shell
validations:
required: true
- type: dropdown
id: os
attributes:
label: Operating system
options:
- HassOS
- Debian
- Other Linux
- Proxmox
- UNRAID
- Windows
- Other
validations:
required: true
- type: dropdown
id: install-method
attributes:
label: Install method
options:
- HassOS Addon
- Docker Compose
- Docker CLI
validations:
required: true
- type: dropdown
id: coral
attributes:
label: Coral version
options:
- USB
- PCIe
- M.2
- Dev Board
- Other
- CPU (no coral)
validations:
required: true
- type: textarea
id: other
attributes:
label: Any other information that may be helpful

View File

@@ -1,20 +0,0 @@
---
name: Feature request
about: Suggest an idea for this project
title: ''
labels: enhancement
assignees: ''
---
**Describe what you are trying to accomplish and why in non technical terms**
I want to be able to ... so that I can ...
**Describe the solution you'd like**
A clear and concise description of what you want to happen.
**Describe alternatives you've considered**
A clear and concise description of any alternative solutions or features you've considered.
**Additional context**
Add any other context or screenshots about the feature request here.

View File

@@ -1,107 +0,0 @@
name: General Support Request
description: General support request for Frigate
title: "[Support]: "
labels: ["support", "triage"]
assignees: []
body:
- type: textarea
id: description
attributes:
label: Describe the problem you are having
validations:
required: true
- type: input
id: version
attributes:
label: Version
description: Visible on the Debug page in the Web UI
validations:
required: true
- type: textarea
id: config
attributes:
label: Frigate config file
description: This will be automatically formatted into code, so no need for backticks.
render: yaml
validations:
required: true
- type: textarea
id: logs
attributes:
label: Relevant log output
description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
render: shell
validations:
required: true
- type: textarea
id: ffprobe
attributes:
label: FFprobe output from your camera
description: Run `ffprobe <camera_url>` and provide output below
render: shell
validations:
required: true
- type: textarea
id: stats
attributes:
label: Frigate stats
description: Output from frigate's /api/stats endpoint
render: json
- type: dropdown
id: os
attributes:
label: Operating system
options:
- HassOS
- Debian
- Other Linux
- Proxmox
- UNRAID
- Windows
- Other
validations:
required: true
- type: dropdown
id: install-method
attributes:
label: Install method
options:
- HassOS Addon
- Docker Compose
- Docker CLI
validations:
required: true
- type: dropdown
id: coral
attributes:
label: Coral version
options:
- USB
- PCIe
- M.2
- Dev Board
- Other
- CPU (no coral)
validations:
required: true
- type: dropdown
id: network
attributes:
label: Network connection
options:
- Wired
- Wireless
- Mixed
validations:
required: true
- type: input
id: camera
attributes:
label: Camera make and model
description: Dahua, hikvision, amcrest, reolink, etc and model number
validations:
required: true
- type: textarea
id: other
attributes:
label: Any other information that may be helpful

View File

@@ -1,96 +0,0 @@
name: Hardware Acceleration Support Request
description: Support for setting up GPU hardware acceleration in Frigate
title: "[HW Accel Support]: "
labels: ["support", "triage"]
assignees: []
body:
- type: textarea
id: description
attributes:
label: Describe the problem you are having
validations:
required: true
- type: input
id: version
attributes:
label: Version
description: Visible on the Debug page in the Web UI
validations:
required: true
- type: textarea
id: config
attributes:
label: Frigate config file
description: This will be automatically formatted into code, so no need for backticks.
render: yaml
validations:
required: true
- type: textarea
id: docker
attributes:
label: docker-compose file or Docker CLI command
description: This will be automatically formatted into code, so no need for backticks.
render: yaml
validations:
required: true
- type: textarea
id: logs
attributes:
label: Relevant log output
description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
render: shell
validations:
required: true
- type: textarea
id: ffprobe
attributes:
label: FFprobe output from your camera
description: Run `ffprobe <camera_url>` and provide output below
render: shell
validations:
required: true
- type: dropdown
id: os
attributes:
label: Operating system
options:
- HassOS
- Debian
- Other Linux
- Proxmox
- UNRAID
- Windows
- Other
validations:
required: true
- type: dropdown
id: install-method
attributes:
label: Install method
options:
- HassOS Addon
- Docker Compose
- Docker CLI
validations:
required: true
- type: dropdown
id: network
attributes:
label: Network connection
options:
- Wired
- Wireless
- Mixed
validations:
required: true
- type: input
id: camera
attributes:
label: Camera make and model
description: Dahua, hikvision, amcrest, reolink, etc and model number
validations:
required: true
- type: textarea
id: other
attributes:
label: Any other information that may be helpful

View File

@@ -1,32 +0,0 @@
version: 2
updates:
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: daily
open-pull-requests-limit: 10
target-branch: dev
- package-ecosystem: "docker"
directory: "/docker"
schedule:
interval: daily
open-pull-requests-limit: 10
target-branch: dev
- package-ecosystem: "pip"
directory: "/"
schedule:
interval: daily
open-pull-requests-limit: 10
target-branch: dev
- package-ecosystem: "npm"
directory: "/web"
schedule:
interval: daily
open-pull-requests-limit: 10
target-branch: dev
- package-ecosystem: "npm"
directory: "/docs"
schedule:
interval: daily
open-pull-requests-limit: 10
target-branch: dev

View File

@@ -1,62 +0,0 @@
name: CI
on:
push:
branches:
- dev
- master
# only run the latest commit to avoid cache overwrites
concurrency:
group: ${{ github.ref }}
cancel-in-progress: true
env:
PYTHON_VERSION: 3.9
jobs:
multi_arch_build:
runs-on: ubuntu-latest
name: Image Build
steps:
- 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
uses: docker/setup-qemu-action@v2
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
- name: Log in to the Container registry
uses: docker/login-action@f4ef78c080cd8ba55a85445d5b36e214a81df20a
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Create version file
run: make version
- name: Create short sha
run: echo "SHORT_SHA=${GITHUB_SHA::7}" >> $GITHUB_ENV
- name: Build and push
uses: docker/build-push-action@v3
with:
context: .
push: true
platforms: linux/amd64,linux/arm64,linux/arm/v7
target: frigate
tags: |
ghcr.io/${{ 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
uses: docker/build-push-action@v3
with:
context: .
push: true
platforms: linux/amd64
target: frigate-tensorrt
tags: |
ghcr.io/${{ steps.lowercaseRepo.outputs.lowercase }}:${{ github.ref_name }}-${{ env.SHORT_SHA }}-tensorrt
cache-from: type=gha

View File

@@ -1,22 +0,0 @@
name: dependabot-auto-merge
on: pull_request
permissions:
contents: write
jobs:
dependabot-auto-merge:
runs-on: ubuntu-latest
if: github.actor == 'dependabot[bot]'
steps:
- name: Get Dependabot metadata
id: metadata
uses: dependabot/fetch-metadata@v1
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
- name: Enable auto-merge for Dependabot PRs
if: steps.metadata.outputs.dependency-type == 'direct:development' && (steps.metadata.outputs.update-type == 'version-update:semver-minor' || steps.metadata.outputs.update-type == 'version-update:semver-patch')
run: gh pr merge --auto --squash "$PR_URL"
env:
PR_URL: ${{ github.event.pull_request.html_url }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

View File

@@ -1,102 +0,0 @@
name: On pull request
on: pull_request
env:
DEFAULT_PYTHON: 3.9
jobs:
build_devcontainer:
runs-on: ubuntu-latest
name: Build Devcontainer
# The Dockerfile contains features that requires buildkit, and since the
# devcontainer cli uses docker-compose to build the image, the only way to
# ensure docker-compose uses buildkit is to explicitly enable it.
env:
DOCKER_BUILDKIT: "1"
steps:
- uses: actions/checkout@v3
- uses: actions/setup-node@master
with:
node-version: 16.x
- name: Install devcontainer cli
run: npm install --global @devcontainers/cli
- name: Build devcontainer
run: devcontainer build --workspace-folder .
# It would be nice to also test the following commands, but for some
# reason they don't work even though in VS Code devcontainer works.
# - name: Start devcontainer
# run: devcontainer up --workspace-folder .
# - name: Run devcontainer scripts
# run: devcontainer run-user-commands --workspace-folder .
web_lint:
name: Web - Lint
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-node@master
with:
node-version: 16.x
- run: npm install
working-directory: ./web
- name: Lint
run: npm run lint
working-directory: ./web
web_test:
name: Web - Test
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-node@master
with:
node-version: 16.x
- run: npm install
working-directory: ./web
- name: Test
run: npm run test
working-directory: ./web
python_checks:
runs-on: ubuntu-latest
name: Python Checks
steps:
- name: Check out the repository
uses: actions/checkout@v3
- name: Set up Python ${{ env.DEFAULT_PYTHON }}
uses: actions/setup-python@v4.5.0
with:
python-version: ${{ env.DEFAULT_PYTHON }}
- name: Install requirements
run: |
pip install pip
pip install -r requirements-dev.txt
- name: Lint
run: |
python3 -m black frigate --check
python_tests:
runs-on: ubuntu-latest
name: Python Tests
steps:
- name: Check out code
uses: actions/checkout@v3
- uses: actions/setup-node@master
with:
node-version: 16.x
- run: npm install
working-directory: ./web
- name: Build web
run: npm run build
working-directory: ./web
- name: Set up QEMU
uses: docker/setup-qemu-action@v2
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
- name: Build
run: make
- name: Run mypy
run: docker run --rm --entrypoint=python3 frigate:latest -u -m mypy --config-file frigate/mypy.ini frigate
- name: Run tests
run: docker run --rm --entrypoint=python3 frigate:latest -u -m unittest

28
.github/workflows/push.yml vendored Normal file
View File

@@ -0,0 +1,28 @@
name: On push
on:
push:
branches:
- master
- release-0.8.0
jobs:
deploy-docs:
name: Deploy docs
runs-on: ubuntu-latest
defaults:
run:
working-directory: ./docs
steps:
- uses: actions/checkout@master
- uses: actions/setup-node@master
with:
node-version: 12.x
- run: npm install
- name: Build docs
run: npm run build
- name: Deploy documentation
uses: peaceiris/actions-gh-pages@v3
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
publish_dir: ./docs/build

View File

@@ -1,26 +0,0 @@
# Close Stale Issues
# Warns and then closes issues and PRs that have had no activity for a specified amount of time.
# https://github.com/actions/stale
name: "Stalebot"
on:
schedule:
- cron: "0 0 * * *" # run stalebot once a day
jobs:
stale:
runs-on: ubuntu-latest
steps:
- uses: actions/stale@main
id: stale
with:
stale-issue-message: "This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions."
close-issue-message: ""
days-before-stale: 30
days-before-close: 3
exempt-draft-pr: true
exempt-issue-labels: "pinned,security"
exempt-pr-labels: "pinned,security,dependencies"
operations-per-run: 120
- name: Print outputs
run: echo ${{ join(steps.stale.outputs.*, ',') }}

10
.gitignore vendored
View File

@@ -1,19 +1,11 @@
.DS_Store
*.pyc
*.swp
debug
.vscode/*
!.vscode/launch.json
.vscode
config/config.yml
models
*.mp4
*.ts
*.db
*.csv
frigate/version.py
web/build
web/node_modules
web/coverage
core
!/web/**/*.ts
.idea/*

588
.pylintrc
View File

@@ -1,588 +0,0 @@
[MASTER]
# A comma-separated list of package or module names from where C extensions may
# be loaded. Extensions are loading into the active Python interpreter and may
# run arbitrary code.
extension-pkg-whitelist=
# Specify a score threshold to be exceeded before program exits with error.
fail-under=10.0
# Add files or directories to the blacklist. They should be base names, not
# paths.
ignore=CVS
# Add files or directories matching the regex patterns to the blacklist. The
# regex matches against base names, not paths.
ignore-patterns=
# Python code to execute, usually for sys.path manipulation such as
# pygtk.require().
#init-hook=
# Use multiple processes to speed up Pylint. Specifying 0 will auto-detect the
# number of processors available to use.
jobs=1
# Control the amount of potential inferred values when inferring a single
# object. This can help the performance when dealing with large functions or
# complex, nested conditions.
limit-inference-results=100
# List of plugins (as comma separated values of python module names) to load,
# usually to register additional checkers.
load-plugins=
# Pickle collected data for later comparisons.
persistent=yes
# When enabled, pylint would attempt to guess common misconfiguration and emit
# user-friendly hints instead of false-positive error messages.
suggestion-mode=yes
# Allow loading of arbitrary C extensions. Extensions are imported into the
# active Python interpreter and may run arbitrary code.
unsafe-load-any-extension=no
[MESSAGES CONTROL]
# Only show warnings with the listed confidence levels. Leave empty to show
# all. Valid levels: HIGH, INFERENCE, INFERENCE_FAILURE, UNDEFINED.
confidence=
# Disable the message, report, category or checker with the given id(s). You
# can either give multiple identifiers separated by comma (,) or put this
# option multiple times (only on the command line, not in the configuration
# file where it should appear only once). You can also use "--disable=all" to
# disable everything first and then reenable specific checks. For example, if
# you want to run only the similarities checker, you can use "--disable=all
# --enable=similarities". If you want to run only the classes checker, but have
# no Warning level messages displayed, use "--disable=all --enable=classes
# --disable=W".
disable=print-statement,
parameter-unpacking,
unpacking-in-except,
old-raise-syntax,
backtick,
long-suffix,
old-ne-operator,
old-octal-literal,
import-star-module-level,
non-ascii-bytes-literal,
raw-checker-failed,
bad-inline-option,
locally-disabled,
file-ignored,
suppressed-message,
useless-suppression,
deprecated-pragma,
use-symbolic-message-instead,
apply-builtin,
basestring-builtin,
buffer-builtin,
cmp-builtin,
coerce-builtin,
execfile-builtin,
file-builtin,
long-builtin,
raw_input-builtin,
reduce-builtin,
standarderror-builtin,
unicode-builtin,
xrange-builtin,
coerce-method,
delslice-method,
getslice-method,
setslice-method,
no-absolute-import,
old-division,
dict-iter-method,
dict-view-method,
next-method-called,
metaclass-assignment,
indexing-exception,
raising-string,
reload-builtin,
oct-method,
hex-method,
nonzero-method,
cmp-method,
input-builtin,
round-builtin,
intern-builtin,
unichr-builtin,
map-builtin-not-iterating,
zip-builtin-not-iterating,
range-builtin-not-iterating,
filter-builtin-not-iterating,
using-cmp-argument,
eq-without-hash,
div-method,
idiv-method,
rdiv-method,
exception-message-attribute,
invalid-str-codec,
sys-max-int,
bad-python3-import,
deprecated-string-function,
deprecated-str-translate-call,
deprecated-itertools-function,
deprecated-types-field,
next-method-defined,
dict-items-not-iterating,
dict-keys-not-iterating,
dict-values-not-iterating,
deprecated-operator-function,
deprecated-urllib-function,
xreadlines-attribute,
deprecated-sys-function,
exception-escape,
comprehension-escape
# Enable the message, report, category or checker with the given id(s). You can
# either give multiple identifier separated by comma (,) or put this option
# multiple time (only on the command line, not in the configuration file where
# it should appear only once). See also the "--disable" option for examples.
enable=c-extension-no-member
[REPORTS]
# Python expression which should return a score less than or equal to 10. You
# have access to the variables 'error', 'warning', 'refactor', and 'convention'
# which contain the number of messages in each category, as well as 'statement'
# which is the total number of statements analyzed. This score is used by the
# global evaluation report (RP0004).
evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10)
# Template used to display messages. This is a python new-style format string
# used to format the message information. See doc for all details.
#msg-template=
# Set the output format. Available formats are text, parseable, colorized, json
# and msvs (visual studio). You can also give a reporter class, e.g.
# mypackage.mymodule.MyReporterClass.
output-format=text
# Tells whether to display a full report or only the messages.
reports=no
# Activate the evaluation score.
score=yes
[REFACTORING]
# Maximum number of nested blocks for function / method body
max-nested-blocks=5
# Complete name of functions that never returns. When checking for
# inconsistent-return-statements if a never returning function is called then
# it will be considered as an explicit return statement and no message will be
# printed.
never-returning-functions=sys.exit
[SPELLING]
# Limits count of emitted suggestions for spelling mistakes.
max-spelling-suggestions=4
# Spelling dictionary name. Available dictionaries: none. To make it work,
# install the python-enchant package.
spelling-dict=
# List of comma separated words that should not be checked.
spelling-ignore-words=
# A path to a file that contains the private dictionary; one word per line.
spelling-private-dict-file=
# Tells whether to store unknown words to the private dictionary (see the
# --spelling-private-dict-file option) instead of raising a message.
spelling-store-unknown-words=no
[TYPECHECK]
# List of decorators that produce context managers, such as
# contextlib.contextmanager. Add to this list to register other decorators that
# produce valid context managers.
contextmanager-decorators=contextlib.contextmanager
# List of members which are set dynamically and missed by pylint inference
# system, and so shouldn't trigger E1101 when accessed. Python regular
# expressions are accepted.
generated-members=
# Tells whether missing members accessed in mixin class should be ignored. A
# mixin class is detected if its name ends with "mixin" (case insensitive).
ignore-mixin-members=yes
# Tells whether to warn about missing members when the owner of the attribute
# is inferred to be None.
ignore-none=yes
# This flag controls whether pylint should warn about no-member and similar
# checks whenever an opaque object is returned when inferring. The inference
# can return multiple potential results while evaluating a Python object, but
# some branches might not be evaluated, which results in partial inference. In
# that case, it might be useful to still emit no-member and other checks for
# the rest of the inferred objects.
ignore-on-opaque-inference=yes
# List of class names for which member attributes should not be checked (useful
# for classes with dynamically set attributes). This supports the use of
# qualified names.
ignored-classes=optparse.Values,thread._local,_thread._local
# List of module names for which member attributes should not be checked
# (useful for modules/projects where namespaces are manipulated during runtime
# and thus existing member attributes cannot be deduced by static analysis). It
# supports qualified module names, as well as Unix pattern matching.
ignored-modules=
# Show a hint with possible names when a member name was not found. The aspect
# of finding the hint is based on edit distance.
missing-member-hint=yes
# The minimum edit distance a name should have in order to be considered a
# similar match for a missing member name.
missing-member-hint-distance=1
# The total number of similar names that should be taken in consideration when
# showing a hint for a missing member.
missing-member-max-choices=1
# List of decorators that change the signature of a decorated function.
signature-mutators=
[STRING]
# This flag controls whether inconsistent-quotes generates a warning when the
# character used as a quote delimiter is used inconsistently within a module.
check-quote-consistency=no
# This flag controls whether the implicit-str-concat should generate a warning
# on implicit string concatenation in sequences defined over several lines.
check-str-concat-over-line-jumps=no
[FORMAT]
# Expected format of line ending, e.g. empty (any line ending), LF or CRLF.
expected-line-ending-format=
# Regexp for a line that is allowed to be longer than the limit.
ignore-long-lines=^\s*(# )?<?https?://\S+>?$
# Number of spaces of indent required inside a hanging or continued line.
indent-after-paren=4
# String used as indentation unit. This is usually " " (4 spaces) or "\t" (1
# tab).
indent-string=' '
# Maximum number of characters on a single line.
max-line-length=100
# Maximum number of lines in a module.
max-module-lines=1000
# Allow the body of a class to be on the same line as the declaration if body
# contains single statement.
single-line-class-stmt=no
# Allow the body of an if to be on the same line as the test if there is no
# else.
single-line-if-stmt=no
[SIMILARITIES]
# Ignore comments when computing similarities.
ignore-comments=yes
# Ignore docstrings when computing similarities.
ignore-docstrings=yes
# Ignore imports when computing similarities.
ignore-imports=no
# Minimum lines number of a similarity.
min-similarity-lines=4
[MISCELLANEOUS]
# List of note tags to take in consideration, separated by a comma.
notes=FIXME,
XXX,
TODO
# Regular expression of note tags to take in consideration.
#notes-rgx=
[BASIC]
# Naming style matching correct argument names.
argument-naming-style=snake_case
# Regular expression matching correct argument names. Overrides argument-
# naming-style.
#argument-rgx=
# Naming style matching correct attribute names.
attr-naming-style=snake_case
# Regular expression matching correct attribute names. Overrides attr-naming-
# style.
#attr-rgx=
# Bad variable names which should always be refused, separated by a comma.
bad-names=foo,
bar,
baz,
toto,
tutu,
tata
# Bad variable names regexes, separated by a comma. If names match any regex,
# they will always be refused
bad-names-rgxs=
# Naming style matching correct class attribute names.
class-attribute-naming-style=any
# Regular expression matching correct class attribute names. Overrides class-
# attribute-naming-style.
#class-attribute-rgx=
# Naming style matching correct class names.
class-naming-style=PascalCase
# Regular expression matching correct class names. Overrides class-naming-
# style.
#class-rgx=
# Naming style matching correct constant names.
const-naming-style=UPPER_CASE
# Regular expression matching correct constant names. Overrides const-naming-
# style.
#const-rgx=
# Minimum line length for functions/classes that require docstrings, shorter
# ones are exempt.
docstring-min-length=-1
# Naming style matching correct function names.
function-naming-style=snake_case
# Regular expression matching correct function names. Overrides function-
# naming-style.
#function-rgx=
# Good variable names which should always be accepted, separated by a comma.
good-names=i,
j,
k,
ex,
Run,
_
# Good variable names regexes, separated by a comma. If names match any regex,
# they will always be accepted
good-names-rgxs=
# Include a hint for the correct naming format with invalid-name.
include-naming-hint=no
# Naming style matching correct inline iteration names.
inlinevar-naming-style=any
# Regular expression matching correct inline iteration names. Overrides
# inlinevar-naming-style.
#inlinevar-rgx=
# Naming style matching correct method names.
method-naming-style=snake_case
# Regular expression matching correct method names. Overrides method-naming-
# style.
#method-rgx=
# Naming style matching correct module names.
module-naming-style=snake_case
# Regular expression matching correct module names. Overrides module-naming-
# style.
#module-rgx=
# Colon-delimited sets of names that determine each other's naming style when
# the name regexes allow several styles.
name-group=
# Regular expression which should only match function or class names that do
# not require a docstring.
no-docstring-rgx=^_
# List of decorators that produce properties, such as abc.abstractproperty. Add
# to this list to register other decorators that produce valid properties.
# These decorators are taken in consideration only for invalid-name.
property-classes=abc.abstractproperty
# Naming style matching correct variable names.
variable-naming-style=snake_case
# Regular expression matching correct variable names. Overrides variable-
# naming-style.
#variable-rgx=
[VARIABLES]
# List of additional names supposed to be defined in builtins. Remember that
# you should avoid defining new builtins when possible.
additional-builtins=
# Tells whether unused global variables should be treated as a violation.
allow-global-unused-variables=yes
# List of strings which can identify a callback function by name. A callback
# name must start or end with one of those strings.
callbacks=cb_,
_cb
# A regular expression matching the name of dummy variables (i.e. expected to
# not be used).
dummy-variables-rgx=_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_
# Argument names that match this expression will be ignored. Default to name
# with leading underscore.
ignored-argument-names=_.*|^ignored_|^unused_
# Tells whether we should check for unused import in __init__ files.
init-import=no
# List of qualified module names which can have objects that can redefine
# builtins.
redefining-builtins-modules=six.moves,past.builtins,future.builtins,builtins,io
[LOGGING]
# The type of string formatting that logging methods do. `old` means using %
# formatting, `new` is for `{}` formatting.
logging-format-style=fstr
# Logging modules to check that the string format arguments are in logging
# function parameter format.
logging-modules=logging
[DESIGN]
# Maximum number of arguments for function / method.
max-args=5
# Maximum number of attributes for a class (see R0902).
max-attributes=7
# Maximum number of boolean expressions in an if statement (see R0916).
max-bool-expr=5
# Maximum number of branch for function / method body.
max-branches=12
# Maximum number of locals for function / method body.
max-locals=15
# Maximum number of parents for a class (see R0901).
max-parents=7
# Maximum number of public methods for a class (see R0904).
max-public-methods=20
# Maximum number of return / yield for function / method body.
max-returns=6
# Maximum number of statements in function / method body.
max-statements=50
# Minimum number of public methods for a class (see R0903).
min-public-methods=2
[CLASSES]
# List of method names used to declare (i.e. assign) instance attributes.
defining-attr-methods=__init__,
__new__,
setUp,
__post_init__
# List of member names, which should be excluded from the protected access
# warning.
exclude-protected=_asdict,
_fields,
_replace,
_source,
_make
# List of valid names for the first argument in a class method.
valid-classmethod-first-arg=cls
# List of valid names for the first argument in a metaclass class method.
valid-metaclass-classmethod-first-arg=cls
[IMPORTS]
# List of modules that can be imported at any level, not just the top level
# one.
allow-any-import-level=
# Allow wildcard imports from modules that define __all__.
allow-wildcard-with-all=no
# Analyse import fallback blocks. This can be used to support both Python 2 and
# 3 compatible code, which means that the block might have code that exists
# only in one or another interpreter, leading to false positives when analysed.
analyse-fallback-blocks=no
# Deprecated modules which should not be used, separated by a comma.
deprecated-modules=optparse,tkinter.tix
# Create a graph of external dependencies in the given file (report RP0402 must
# not be disabled).
ext-import-graph=
# Create a graph of every (i.e. internal and external) dependencies in the
# given file (report RP0402 must not be disabled).
import-graph=
# Create a graph of internal dependencies in the given file (report RP0402 must
# not be disabled).
int-import-graph=
# Force import order to recognize a module as part of the standard
# compatibility libraries.
known-standard-library=
# Force import order to recognize a module as part of a third party library.
known-third-party=enchant
# Couples of modules and preferred modules, separated by a comma.
preferred-modules=
[EXCEPTIONS]
# Exceptions that will emit a warning when being caught. Defaults to
# "BaseException, Exception".
overgeneral-exceptions=BaseException,
Exception

12
.vscode/launch.json vendored
View File

@@ -1,12 +0,0 @@
{
"version": "0.2.0",
"configurations": [
{
"name": "Python: Launch Frigate",
"type": "python",
"request": "launch",
"module": "frigate",
"justMyCode": true
}
]
}

View File

@@ -1,268 +0,0 @@
# syntax=docker/dockerfile:1.2
# https://askubuntu.com/questions/972516/debian-frontend-environment-variable
ARG DEBIAN_FRONTEND=noninteractive
FROM debian:11 AS base
FROM --platform=linux/amd64 debian:11 AS base_amd64
FROM debian:11-slim AS slim-base
FROM slim-base AS wget
ARG DEBIAN_FRONTEND
RUN apt-get update \
&& apt-get install -y wget xz-utils \
&& rm -rf /var/lib/apt/lists/*
WORKDIR /rootfs
FROM base AS nginx
ARG DEBIAN_FRONTEND
# bind /var/cache/apt to tmpfs to speed up nginx build
RUN --mount=type=tmpfs,target=/tmp --mount=type=tmpfs,target=/var/cache/apt \
--mount=type=bind,source=docker/build_nginx.sh,target=/deps/build_nginx.sh \
/deps/build_nginx.sh
FROM wget AS go2rtc
ARG TARGETARCH
WORKDIR /rootfs/usr/local/go2rtc/bin
RUN wget -qO go2rtc "https://github.com/AlexxIT/go2rtc/releases/download/v1.1.0/go2rtc_linux_${TARGETARCH}" \
&& chmod +x go2rtc
####
#
# OpenVino Support
#
# 1. Download and convert a model from Intel's Public Open Model Zoo
# 2. Build libUSB without udev to handle NCS2 enumeration
#
####
# Download and Convert OpenVino model
FROM base_amd64 AS ov-converter
ARG DEBIAN_FRONTEND
# Install OpenVino Runtime and Dev library
COPY requirements-ov.txt /requirements-ov.txt
RUN apt-get -qq update \
&& apt-get -qq install -y wget python3 python3-distutils \
&& wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
&& python3 get-pip.py "pip" \
&& pip install -r /requirements-ov.txt
# Get OpenVino Model
RUN mkdir /models \
&& cd /models && omz_downloader --name ssdlite_mobilenet_v2 \
&& cd /models && omz_converter --name ssdlite_mobilenet_v2 --precision FP16
# libUSB - No Udev
FROM wget as libusb-build
ARG TARGETARCH
ARG DEBIAN_FRONTEND
# Build libUSB without udev. Needed for Openvino NCS2 support
WORKDIR /opt
RUN apt-get update && apt-get install -y unzip build-essential automake libtool
RUN wget -q https://github.com/libusb/libusb/archive/v1.0.25.zip -O v1.0.25.zip && \
unzip v1.0.25.zip && cd libusb-1.0.25 && \
./bootstrap.sh && \
./configure --disable-udev --enable-shared && \
make -j $(nproc --all)
RUN apt-get update && \
apt-get install -y --no-install-recommends libusb-1.0-0-dev && \
rm -rf /var/lib/apt/lists/*
WORKDIR /opt/libusb-1.0.25/libusb
RUN /bin/mkdir -p '/usr/local/lib' && \
/bin/bash ../libtool --mode=install /usr/bin/install -c libusb-1.0.la '/usr/local/lib' && \
/bin/mkdir -p '/usr/local/include/libusb-1.0' && \
/usr/bin/install -c -m 644 libusb.h '/usr/local/include/libusb-1.0' && \
/bin/mkdir -p '/usr/local/lib/pkgconfig' && \
cd /opt/libusb-1.0.25/ && \
/usr/bin/install -c -m 644 libusb-1.0.pc '/usr/local/lib/pkgconfig' && \
ldconfig
FROM wget AS models
# Get model and labels
RUN wget -qO edgetpu_model.tflite https://github.com/google-coral/test_data/raw/release-frogfish/ssdlite_mobiledet_coco_qat_postprocess_edgetpu.tflite
RUN wget -qO cpu_model.tflite https://github.com/google-coral/test_data/raw/release-frogfish/ssdlite_mobiledet_coco_qat_postprocess.tflite
COPY labelmap.txt .
# Copy OpenVino model
COPY --from=ov-converter /models/public/ssdlite_mobilenet_v2/FP16 openvino-model
RUN wget -q https://github.com/openvinotoolkit/open_model_zoo/raw/master/data/dataset_classes/coco_91cl_bkgr.txt -O openvino-model/coco_91cl_bkgr.txt && \
sed -i 's/truck/car/g' openvino-model/coco_91cl_bkgr.txt
FROM wget AS s6-overlay
ARG TARGETARCH
RUN --mount=type=bind,source=docker/install_s6_overlay.sh,target=/deps/install_s6_overlay.sh \
/deps/install_s6_overlay.sh
FROM base AS wheels
ARG DEBIAN_FRONTEND
ARG TARGETARCH
# Use a separate container to build wheels to prevent build dependencies in final image
RUN apt-get -qq update \
&& apt-get -qq install -y \
apt-transport-https \
gnupg \
wget \
&& apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 9165938D90FDDD2E \
&& echo "deb http://raspbian.raspberrypi.org/raspbian/ bullseye main contrib non-free rpi" | tee /etc/apt/sources.list.d/raspi.list \
&& apt-get -qq update \
&& apt-get -qq install -y \
python3 \
python3-dev \
wget \
# opencv dependencies
build-essential cmake git pkg-config libgtk-3-dev \
libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
gfortran openexr libatlas-base-dev libssl-dev\
libtbb2 libtbb-dev libdc1394-22-dev libopenexr-dev \
libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
# scipy dependencies
gcc gfortran libopenblas-dev liblapack-dev && \
rm -rf /var/lib/apt/lists/*
RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
&& python3 get-pip.py "pip"
RUN if [ "${TARGETARCH}" = "arm" ]; \
then echo "[global]" > /etc/pip.conf \
&& echo "extra-index-url=https://www.piwheels.org/simple" >> /etc/pip.conf; \
fi
COPY requirements.txt /requirements.txt
RUN pip3 install -r requirements.txt
COPY requirements-wheels.txt /requirements-wheels.txt
RUN pip3 wheel --wheel-dir=/wheels -r requirements-wheels.txt
# Make this a separate target so it can be built/cached optionally
FROM wheels as trt-wheels
ARG DEBIAN_FRONTEND
ARG TARGETARCH
# Add TensorRT wheels to another folder
COPY requirements-tensorrt.txt /requirements-tensorrt.txt
RUN mkdir -p /trt-wheels && pip3 wheel --wheel-dir=/trt-wheels -r requirements-tensorrt.txt
# Collect deps in a single layer
FROM scratch AS deps-rootfs
COPY --from=nginx /usr/local/nginx/ /usr/local/nginx/
COPY --from=go2rtc /rootfs/ /
COPY --from=libusb-build /usr/local/lib /usr/local/lib
COPY --from=s6-overlay /rootfs/ /
COPY --from=models /rootfs/ /
COPY docker/rootfs/ /
# Frigate deps (ffmpeg, python, nginx, go2rtc, s6-overlay, etc)
FROM slim-base AS deps
ARG TARGETARCH
ARG DEBIAN_FRONTEND
# http://stackoverflow.com/questions/48162574/ddg#49462622
ARG APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn
# https://github.com/NVIDIA/nvidia-docker/wiki/Installation-(Native-GPU-Support)
ENV NVIDIA_VISIBLE_DEVICES=all
ENV NVIDIA_DRIVER_CAPABILITIES="compute,video,utility"
ENV PATH="/usr/lib/btbn-ffmpeg/bin:/usr/local/go2rtc/bin:/usr/local/nginx/sbin:${PATH}"
# Install dependencies
RUN --mount=type=bind,source=docker/install_deps.sh,target=/deps/install_deps.sh \
/deps/install_deps.sh
RUN --mount=type=bind,from=wheels,source=/wheels,target=/deps/wheels \
pip3 install -U /deps/wheels/*.whl
COPY --from=deps-rootfs / /
RUN ldconfig
EXPOSE 5000
EXPOSE 1935
EXPOSE 8554
EXPOSE 8555/tcp 8555/udp
# Configure logging to prepend timestamps, log to stdout, keep 0 archives and rotate on 10MB
ENV S6_LOGGING_SCRIPT="T 1 n0 s10000000 T"
ENTRYPOINT ["/init"]
CMD []
# Frigate deps with Node.js and NPM for devcontainer
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/s6-overlay/s6-rc.d/frigate/run
# Install Node 16
RUN apt-get update \
&& apt-get install wget -y \
&& wget -qO- https://deb.nodesource.com/setup_16.x | bash - \
&& apt-get install -y nodejs \
&& rm -rf /var/lib/apt/lists/* \
&& npm install -g npm@9
WORKDIR /workspace/frigate
RUN apt-get update \
&& apt-get install make -y \
&& rm -rf /var/lib/apt/lists/*
RUN --mount=type=bind,source=./requirements-dev.txt,target=/workspace/frigate/requirements-dev.txt \
pip3 install -r requirements-dev.txt
CMD ["sleep", "infinity"]
# Frigate web build
# force this to run on amd64 because QEMU is painfully slow
FROM --platform=linux/amd64 node:16 AS web-build
WORKDIR /work
COPY web/package.json web/package-lock.json ./
RUN npm install
COPY web/ ./
RUN npm run build \
&& mv dist/BASE_PATH/monacoeditorwork/* dist/assets/ \
&& rm -rf dist/BASE_PATH
# Collect final files in a single layer
FROM scratch AS rootfs
WORKDIR /opt/frigate/
COPY frigate frigate/
COPY migrations migrations/
COPY --from=web-build /work/dist/ web/
# Frigate final container
FROM deps AS frigate
WORKDIR /opt/frigate/
COPY --from=rootfs / /
# Frigate w/ TensorRT Support as separate image
FROM frigate AS frigate-tensorrt
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
pip3 install -U /deps/trt-wheels/*.whl && \
ln -s libnvrtc.so.11.2 /usr/local/lib/python3.9/dist-packages/nvidia/cuda_nvrtc/lib/libnvrtc.so && \
ldconfig
# Dev Container w/ TRT
FROM devcontainer AS devcontainer-trt
RUN --mount=type=bind,from=trt-wheels,source=/trt-wheels,target=/deps/trt-wheels \
pip3 install -U /deps/trt-wheels/*.whl

View File

@@ -1,42 +1,59 @@
default_target: local
default_target: amd64_frigate
COMMIT_HASH := $(shell git log -1 --pretty=format:"%h"|tail -1)
VERSION = 0.12.0
IMAGE_REPO ?= ghcr.io/blakeblackshear/frigate
CURRENT_UID := $(shell id -u)
CURRENT_GID := $(shell id -g)
version:
echo 'VERSION = "$(VERSION)-$(COMMIT_HASH)"' > frigate/version.py
echo "VERSION='0.8.0-$(COMMIT_HASH)'" > frigate/version.py
local: version
docker buildx build --target=frigate --tag frigate:latest --load .
web:
docker build --tag frigate-web --file docker/Dockerfile.web web/
local-trt: version
docker buildx build --target=frigate-tensorrt --tag frigate:latest-tensorrt --load .
amd64_wheels:
docker build --tag blakeblackshear/frigate-wheels:1.0.1-amd64 --file docker/Dockerfile.wheels .
amd64:
docker buildx build --platform linux/amd64 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) .
docker buildx build --platform linux/amd64 --target=frigate-tensorrt --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH)-tensorrt .
amd64_ffmpeg:
docker build --tag blakeblackshear/frigate-ffmpeg:1.1.0-amd64 --file docker/Dockerfile.ffmpeg.amd64 .
arm64:
docker buildx build --platform linux/arm64 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) .
amd64_frigate: version web
docker build --tag frigate-base --build-arg ARCH=amd64 --build-arg FFMPEG_VERSION=1.1.0 --build-arg WHEELS_VERSION=1.0.1 --file docker/Dockerfile.base .
docker build --tag frigate --file docker/Dockerfile.amd64 .
armv7:
docker buildx build --platform linux/arm/v7 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) .
amd64_all: amd64_wheels amd64_ffmpeg amd64_frigate
build: version amd64 arm64 armv7
docker buildx build --platform linux/arm/v7,linux/arm64/v8,linux/amd64 --target=frigate --tag $(IMAGE_REPO):$(VERSION)-$(COMMIT_HASH) .
amd64nvidia_wheels:
docker build --tag blakeblackshear/frigate-wheels:1.0.1-amd64nvidia --file docker/Dockerfile.wheels .
push: build
docker buildx build --push --platform linux/arm/v7,linux/arm64/v8,linux/amd64 --target=frigate --tag $(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH) .
docker buildx build --push --platform linux/amd64 --target=frigate-tensorrt --tag $(IMAGE_REPO):${GITHUB_REF_NAME}-$(COMMIT_HASH)-tensorrt .
amd64nvidia_ffmpeg:
docker build --tag blakeblackshear/frigate-ffmpeg:1.0.0-amd64nvidia --file docker/Dockerfile.ffmpeg.amd64nvidia .
run: local
docker run --rm --publish=5000:5000 --volume=${PWD}/config/config.yml:/config/config.yml frigate:latest
amd64nvidia_frigate: version web
docker build --tag frigate-base --build-arg ARCH=amd64nvidia --build-arg FFMPEG_VERSION=1.0.0 --build-arg WHEELS_VERSION=1.0.1 --file docker/Dockerfile.base .
docker build --tag frigate --file docker/Dockerfile.amd64nvidia .
run_tests: local
docker run --rm --workdir=/opt/frigate --entrypoint= frigate:latest python3 -u -m unittest
docker run --rm --workdir=/opt/frigate --entrypoint= frigate:latest python3 -u -m mypy --config-file frigate/mypy.ini frigate
amd64nvidia_all: amd64nvidia_wheels amd64nvidia_ffmpeg amd64nvidia_frigate
.PHONY: run_tests
aarch64_wheels:
docker build --tag blakeblackshear/frigate-wheels:1.0.1-aarch64 --file docker/Dockerfile.wheels .
aarch64_ffmpeg:
docker build --tag blakeblackshear/frigate-ffmpeg:1.0.0-aarch64 --file docker/Dockerfile.ffmpeg.aarch64 .
aarch64_frigate: version web
docker build --tag frigate-base --build-arg ARCH=aarch64 --build-arg FFMPEG_VERSION=1.0.0 --build-arg WHEELS_VERSION=1.0.1 --file docker/Dockerfile.base .
docker build --tag frigate --file docker/Dockerfile.aarch64 .
armv7_all: armv7_wheels armv7_ffmpeg armv7_frigate
armv7_wheels:
docker build --tag blakeblackshear/frigate-wheels:1.0.1-armv7 --file docker/Dockerfile.wheels .
armv7_ffmpeg:
docker build --tag blakeblackshear/frigate-ffmpeg:1.0.0-armv7 --file docker/Dockerfile.ffmpeg.armv7 .
armv7_frigate: version web
docker build --tag frigate-base --build-arg ARCH=armv7 --build-arg FFMPEG_VERSION=1.0.0 --build-arg WHEELS_VERSION=1.0.1 --file docker/Dockerfile.base .
docker build --tag frigate --file docker/Dockerfile.armv7 .
armv7_all: armv7_wheels armv7_ffmpeg armv7_frigate
.PHONY: web

View File

@@ -4,43 +4,19 @@
# Frigate - NVR With Realtime Object Detection for IP Cameras
A complete and local NVR designed for [Home Assistant](https://www.home-assistant.io) with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
A complete and local NVR designed for HomeAssistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a [Google Coral Accelerator](https://coral.ai/products/) is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead.
- Tight integration with Home Assistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)
- Tight integration with HomeAssistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
- Uses a very low overhead motion detection to determine where to run object detection
- Object detection with TensorFlow runs in separate processes for maximum FPS
- Communicates over MQTT for easy integration into other systems
- Records video with retention settings based on detected objects
- 24/7 recording
- Re-streaming via RTSP to reduce the number of connections to your camera
- WebRTC & MSE support for low-latency live view
- Re-streaming via RTMP to reduce the number of connections to your camera
## Documentation
View the documentation at https://docs.frigate.video
## Donations
If you would like to make a donation to support development, please use [Github Sponsors](https://github.com/sponsors/blakeblackshear).
## Screenshots
Integration into Home Assistant
<div>
<a href="docs/static/img/media_browser.png"><img src="docs/static/img/media_browser.png" height=400></a>
<a href="docs/static/img/notification.png"><img src="docs/static/img/notification.png" height=400></a>
</div>
Also comes with a builtin UI:
<div>
<a href="docs/static/img/home-ui.png"><img src="docs/static/img/home-ui.png" height=400></a>
<a href="docs/static/img/camera-ui.png"><img src="docs/static/img/camera-ui.png" height=400></a>
</div>
![Events](docs/static/img/events-ui.png)
View the documentation at https://blakeblackshear.github.io/frigate

View File

@@ -3,16 +3,10 @@ from statistics import mean
import multiprocessing as mp
import numpy as np
import datetime
from frigate.config import DetectorTypeEnum
from frigate.object_detection import (
LocalObjectDetector,
ObjectDetectProcess,
RemoteObjectDetector,
load_labels,
)
from frigate.edgetpu import LocalObjectDetector, EdgeTPUProcess, RemoteObjectDetector, load_labels
my_frame = np.expand_dims(np.full((300, 300, 3), 1, np.uint8), axis=0)
labels = load_labels("/labelmap.txt")
my_frame = np.expand_dims(np.full((300,300,3), 1, np.uint8), axis=0)
labels = load_labels('/labelmap.txt')
######
# Minimal same process runner
@@ -45,23 +39,20 @@ labels = load_labels("/labelmap.txt")
def start(id, num_detections, detection_queue, event):
object_detector = RemoteObjectDetector(
str(id), "/labelmap.txt", detection_queue, event
)
start = datetime.datetime.now().timestamp()
object_detector = RemoteObjectDetector(str(id), '/labelmap.txt', detection_queue, event)
start = datetime.datetime.now().timestamp()
frame_times = []
for x in range(0, num_detections):
start_frame = datetime.datetime.now().timestamp()
detections = object_detector.detect(my_frame)
frame_times.append(datetime.datetime.now().timestamp() - start_frame)
duration = datetime.datetime.now().timestamp() - start
object_detector.cleanup()
print(f"{id} - Processed for {duration:.2f} seconds.")
print(f"{id} - FPS: {object_detector.fps.eps():.2f}")
print(f"{id} - Average frame processing time: {mean(frame_times)*1000:.2f}ms")
frame_times = []
for x in range(0, num_detections):
start_frame = datetime.datetime.now().timestamp()
detections = object_detector.detect(my_frame)
frame_times.append(datetime.datetime.now().timestamp()-start_frame)
duration = datetime.datetime.now().timestamp()-start
object_detector.cleanup()
print(f"{id} - Processed for {duration:.2f} seconds.")
print(f"{id} - FPS: {object_detector.fps.eps():.2f}")
print(f"{id} - Average frame processing time: {mean(frame_times)*1000:.2f}ms")
######
# Separate process runner
@@ -80,29 +71,23 @@ camera_processes = []
events = {}
for x in range(0, 10):
events[str(x)] = mp.Event()
events[str(x)] = mp.Event()
detection_queue = mp.Queue()
edgetpu_process_1 = ObjectDetectProcess(
detection_queue, events, DetectorTypeEnum.edgetpu, "usb:0"
)
edgetpu_process_2 = ObjectDetectProcess(
detection_queue, events, DetectorTypeEnum.edgetpu, "usb:1"
)
edgetpu_process_1 = EdgeTPUProcess(detection_queue, events, 'usb:0')
edgetpu_process_2 = EdgeTPUProcess(detection_queue, events, 'usb:1')
for x in range(0, 10):
camera_process = mp.Process(
target=start, args=(x, 300, detection_queue, events[str(x)])
)
camera_process.daemon = True
camera_processes.append(camera_process)
camera_process = mp.Process(target=start, args=(x, 300, detection_queue, events[str(x)]))
camera_process.daemon = True
camera_processes.append(camera_process)
start_time = datetime.datetime.now().timestamp()
for p in camera_processes:
p.start()
p.start()
for p in camera_processes:
p.join()
p.join()
duration = datetime.datetime.now().timestamp() - start_time
print(f"Total - Processed for {duration:.2f} seconds.")
duration = datetime.datetime.now().timestamp()-start_time
print(f"Total - Processed for {duration:.2f} seconds.")

View File

@@ -1,16 +0,0 @@
mqtt:
host: mqtt
cameras:
test:
ffmpeg:
inputs:
- path: /media/frigate/car-stopping.mp4
input_args: -re -stream_loop -1 -fflags +genpts
roles:
- detect
- rtmp
detect:
height: 1080
width: 1920
fps: 5

View File

@@ -1,39 +0,0 @@
version: "3"
services:
devcontainer:
container_name: frigate-devcontainer
# add groups from host for render, plugdev, video
group_add:
- "109" # render
- "110" # render
- "44" # video
- "46" # plugdev
shm_size: "256mb"
build:
context: .
# Use target devcontainer-trt for TensorRT dev
target: devcontainer
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [gpu]
devices:
- /dev/bus/usb:/dev/bus/usb
# - /dev/dri:/dev/dri # for intel hwaccel, needs to be updated for your hardware
volumes:
- .:/workspace/frigate:cached
- ./web/dist:/opt/frigate/web:cached
- /etc/localtime:/etc/localtime:ro
- ./config/config.yml:/config/config.yml:ro
- ./debug:/media/frigate
# Create the trt-models folder using the documented method of generating TRT models
# - ./debug/trt-models:/trt-models
- /dev/bus/usb:/dev/bus/usb
mqtt:
container_name: mqtt
image: eclipse-mosquitto:1.6
ports:
- "1883:1883"

22
docker/Dockerfile.aarch64 Normal file
View File

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

18
docker/Dockerfile.amd64 Normal file
View File

@@ -0,0 +1,18 @@
FROM frigate-base
LABEL maintainer "blakeb@blakeshome.com"
# By default, use the i965 driver
ENV LIBVA_DRIVER_NAME=i965
# Install packages for apt repo
RUN apt-get -qq update \
&& apt-get -qq install --no-install-recommends -y \
# ffmpeg dependencies
libgomp1 \
# VAAPI drivers for Intel hardware accel
libva-drm2 libva2 libmfx1 i965-va-driver vainfo intel-media-va-driver mesa-va-drivers \
## Tensorflow lite
&& wget -q https://github.com/google-coral/pycoral/releases/download/release-frogfish/tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
&& python3.8 -m pip install tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
&& rm tflite_runtime-2.5.0-cp38-cp38-linux_x86_64.whl \
&& rm -rf /var/lib/apt/lists/* \
&& (apt-get autoremove -y; apt-get autoclean -y)

View File

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

24
docker/Dockerfile.armv7 Normal file
View File

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

58
docker/Dockerfile.base Normal file
View File

@@ -0,0 +1,58 @@
ARG ARCH=amd64
ARG WHEELS_VERSION
ARG FFMPEG_VERSION
FROM blakeblackshear/frigate-wheels:${WHEELS_VERSION}-${ARCH} as wheels
FROM blakeblackshear/frigate-ffmpeg:${FFMPEG_VERSION}-${ARCH} as ffmpeg
FROM frigate-web as web
FROM ubuntu:20.04
LABEL maintainer "blakeb@blakeshome.com"
COPY --from=ffmpeg /usr/local /usr/local/
COPY --from=wheels /wheels/. /wheels/
ENV FLASK_ENV=development
# ENV FONTCONFIG_PATH=/etc/fonts
ENV DEBIAN_FRONTEND=noninteractive
# Install packages for apt repo
RUN apt-get -qq update \
&& apt-get upgrade -y \
&& apt-get -qq install --no-install-recommends -y \
gnupg wget unzip tzdata nginx libnginx-mod-rtmp \
&& apt-get -qq install --no-install-recommends -y \
python3-pip \
&& pip3 install -U /wheels/*.whl \
&& APT_KEY_DONT_WARN_ON_DANGEROUS_USAGE=DontWarn apt-key adv --fetch-keys https://packages.cloud.google.com/apt/doc/apt-key.gpg \
&& echo "deb https://packages.cloud.google.com/apt coral-edgetpu-stable main" > /etc/apt/sources.list.d/coral-edgetpu.list \
&& echo "libedgetpu1-max libedgetpu/accepted-eula select true" | debconf-set-selections \
&& apt-get -qq update && apt-get -qq install --no-install-recommends -y \
libedgetpu1-max=15.0 \
&& rm -rf /var/lib/apt/lists/* /wheels \
&& (apt-get autoremove -y; apt-get autoclean -y)
RUN pip3 install \
peewee_migrate \
zeroconf \
voluptuous
COPY nginx/nginx.conf /etc/nginx/nginx.conf
# get model and labels
COPY labelmap.txt /labelmap.txt
RUN wget -q https://github.com/google-coral/test_data/raw/master/ssdlite_mobiledet_coco_qat_postprocess_edgetpu.tflite -O /edgetpu_model.tflite
RUN wget -q https://github.com/google-coral/test_data/raw/master/ssdlite_mobiledet_coco_qat_postprocess.tflite -O /cpu_model.tflite
WORKDIR /opt/frigate/
ADD frigate frigate/
ADD migrations migrations/
COPY --from=web /opt/frigate/build web/
COPY run.sh /run.sh
RUN chmod +x /run.sh
EXPOSE 5000
EXPOSE 1935
CMD ["/run.sh"]

View File

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

View File

@@ -0,0 +1,468 @@
# inspired by:
# https://github.com/collelog/ffmpeg/blob/master/4.3.1-alpine-rpi4-arm64v8.Dockerfile
# https://github.com/jrottenberg/ffmpeg/pull/158/files
# https://github.com/jrottenberg/ffmpeg/pull/239
FROM ubuntu:20.04 AS base
WORKDIR /tmp/workdir
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get -yqq update && \
apt-get install -yq --no-install-recommends ca-certificates expat libgomp1 && \
apt-get autoremove -y && \
apt-get clean -y
FROM base as build
ENV FFMPEG_VERSION=4.3.1 \
AOM_VERSION=v1.0.0 \
FDKAAC_VERSION=0.1.5 \
FREETYPE_VERSION=2.5.5 \
FRIBIDI_VERSION=0.19.7 \
KVAZAAR_VERSION=1.2.0 \
LAME_VERSION=3.100 \
LIBPTHREAD_STUBS_VERSION=0.4 \
LIBVIDSTAB_VERSION=1.1.0 \
LIBXCB_VERSION=1.13.1 \
XCBPROTO_VERSION=1.13 \
OGG_VERSION=1.3.2 \
OPENCOREAMR_VERSION=0.1.5 \
OPUS_VERSION=1.2 \
OPENJPEG_VERSION=2.1.2 \
THEORA_VERSION=1.1.1 \
VORBIS_VERSION=1.3.5 \
VPX_VERSION=1.8.0 \
WEBP_VERSION=1.0.2 \
X264_VERSION=20170226-2245-stable \
X265_VERSION=3.1.1 \
XAU_VERSION=1.0.9 \
XORG_MACROS_VERSION=1.19.2 \
XPROTO_VERSION=7.0.31 \
XVID_VERSION=1.3.4 \
LIBZMQ_VERSION=4.3.2 \
SRC=/usr/local
ARG FREETYPE_SHA256SUM="5d03dd76c2171a7601e9ce10551d52d4471cf92cd205948e60289251daddffa8 freetype-2.5.5.tar.gz"
ARG FRIBIDI_SHA256SUM="3fc96fa9473bd31dcb5500bdf1aa78b337ba13eb8c301e7c28923fea982453a8 0.19.7.tar.gz"
ARG LIBVIDSTAB_SHA256SUM="14d2a053e56edad4f397be0cb3ef8eb1ec3150404ce99a426c4eb641861dc0bb v1.1.0.tar.gz"
ARG OGG_SHA256SUM="e19ee34711d7af328cb26287f4137e70630e7261b17cbe3cd41011d73a654692 libogg-1.3.2.tar.gz"
ARG OPUS_SHA256SUM="77db45a87b51578fbc49555ef1b10926179861d854eb2613207dc79d9ec0a9a9 opus-1.2.tar.gz"
ARG THEORA_SHA256SUM="40952956c47811928d1e7922cda3bc1f427eb75680c3c37249c91e949054916b libtheora-1.1.1.tar.gz"
ARG VORBIS_SHA256SUM="6efbcecdd3e5dfbf090341b485da9d176eb250d893e3eb378c428a2db38301ce libvorbis-1.3.5.tar.gz"
ARG XVID_SHA256SUM="4e9fd62728885855bc5007fe1be58df42e5e274497591fec37249e1052ae316f xvidcore-1.3.4.tar.gz"
ARG LIBZMQ_SHA256SUM="02ecc88466ae38cf2c8d79f09cfd2675ba299a439680b64ade733e26a349edeb v4.3.2.tar.gz"
ARG LD_LIBRARY_PATH=/opt/ffmpeg/lib
ARG MAKEFLAGS="-j2"
ARG PKG_CONFIG_PATH="/opt/ffmpeg/share/pkgconfig:/opt/ffmpeg/lib/pkgconfig:/opt/ffmpeg/lib64/pkgconfig"
ARG PREFIX=/opt/ffmpeg
ARG LD_LIBRARY_PATH="/opt/ffmpeg/lib:/opt/ffmpeg/lib64:/usr/lib64:/usr/lib:/lib64:/lib"
RUN buildDeps="autoconf \
automake \
cmake \
curl \
bzip2 \
libexpat1-dev \
g++ \
gcc \
git \
gperf \
libtool \
make \
nasm \
perl \
pkg-config \
python \
libssl-dev \
yasm \
libva-dev \
libmfx-dev \
zlib1g-dev" && \
apt-get -yqq update && \
apt-get install -yq --no-install-recommends ${buildDeps}
## opencore-amr https://sourceforge.net/projects/opencore-amr/
RUN \
DIR=/tmp/opencore-amr && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://versaweb.dl.sourceforge.net/project/opencore-amr/opencore-amr/opencore-amr-${OPENCOREAMR_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
## x264 http://www.videolan.org/developers/x264.html
RUN \
DIR=/tmp/x264 && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://download.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-${X264_VERSION}.tar.bz2 | \
tar -jx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared --enable-pic --disable-cli && \
make && \
make install && \
rm -rf ${DIR}
### x265 http://x265.org/
RUN \
DIR=/tmp/x265 && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://download.videolan.org/pub/videolan/x265/x265_${X265_VERSION}.tar.gz | \
tar -zx && \
cd x265_${X265_VERSION}/build/linux && \
sed -i "/-DEXTRA_LIB/ s/$/ -DCMAKE_INSTALL_PREFIX=\${PREFIX}/" multilib.sh && \
sed -i "/^cmake/ s/$/ -DENABLE_CLI=OFF/" multilib.sh && \
./multilib.sh && \
make -C 8bit install && \
rm -rf ${DIR}
### libogg https://www.xiph.org/ogg/
RUN \
DIR=/tmp/ogg && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/ogg/libogg-${OGG_VERSION}.tar.gz && \
echo ${OGG_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libogg-${OGG_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libopus https://www.opus-codec.org/
RUN \
DIR=/tmp/opus && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://archive.mozilla.org/pub/opus/opus-${OPUS_VERSION}.tar.gz && \
echo ${OPUS_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f opus-${OPUS_VERSION}.tar.gz && \
autoreconf -fiv && \
./configure --prefix="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libvorbis https://xiph.org/vorbis/
RUN \
DIR=/tmp/vorbis && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/vorbis/libvorbis-${VORBIS_VERSION}.tar.gz && \
echo ${VORBIS_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libvorbis-${VORBIS_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libtheora http://www.theora.org/
RUN \
DIR=/tmp/theora && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xiph.org/releases/theora/libtheora-${THEORA_VERSION}.tar.gz && \
echo ${THEORA_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f libtheora-${THEORA_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --with-ogg="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libvpx https://www.webmproject.org/code/
RUN \
DIR=/tmp/vpx && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://codeload.github.com/webmproject/libvpx/tar.gz/v${VPX_VERSION} | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-vp8 --enable-vp9 --enable-vp9-highbitdepth --enable-pic --enable-shared \
--disable-debug --disable-examples --disable-docs --disable-install-bins && \
make && \
make install && \
rm -rf ${DIR}
### libwebp https://developers.google.com/speed/webp/
RUN \
DIR=/tmp/vebp && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://storage.googleapis.com/downloads.webmproject.org/releases/webp/libwebp-${WEBP_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
### libmp3lame http://lame.sourceforge.net/
RUN \
DIR=/tmp/lame && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://versaweb.dl.sourceforge.net/project/lame/lame/$(echo ${LAME_VERSION} | sed -e 's/[^0-9]*\([0-9]*\)[.]\([0-9]*\)[.]\([0-9]*\)\([0-9A-Za-z-]*\)/\1.\2/')/lame-${LAME_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" --enable-shared --enable-nasm --disable-frontend && \
make && \
make install && \
rm -rf ${DIR}
### xvid https://www.xvid.com/
RUN \
DIR=/tmp/xvid && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO http://downloads.xvid.org/downloads/xvidcore-${XVID_VERSION}.tar.gz && \
echo ${XVID_SHA256SUM} | sha256sum --check && \
tar -zx -f xvidcore-${XVID_VERSION}.tar.gz && \
cd xvidcore/build/generic && \
./configure --prefix="${PREFIX}" --bindir="${PREFIX}/bin" && \
make && \
make install && \
rm -rf ${DIR}
### fdk-aac https://github.com/mstorsjo/fdk-aac
RUN \
DIR=/tmp/fdk-aac && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://github.com/mstorsjo/fdk-aac/archive/v${FDKAAC_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
autoreconf -fiv && \
./configure --prefix="${PREFIX}" --enable-shared --datadir="${DIR}" && \
make && \
make install && \
rm -rf ${DIR}
## openjpeg https://github.com/uclouvain/openjpeg
RUN \
DIR=/tmp/openjpeg && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sL https://github.com/uclouvain/openjpeg/archive/v${OPENJPEG_VERSION}.tar.gz | \
tar -zx --strip-components=1 && \
cmake -DBUILD_THIRDPARTY:BOOL=ON -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
make && \
make install && \
rm -rf ${DIR}
## freetype https://www.freetype.org/
RUN \
DIR=/tmp/freetype && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://download.savannah.gnu.org/releases/freetype/freetype-${FREETYPE_VERSION}.tar.gz && \
echo ${FREETYPE_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f freetype-${FREETYPE_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
## libvstab https://github.com/georgmartius/vid.stab
RUN \
DIR=/tmp/vid.stab && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/georgmartius/vid.stab/archive/v${LIBVIDSTAB_VERSION}.tar.gz && \
echo ${LIBVIDSTAB_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f v${LIBVIDSTAB_VERSION}.tar.gz && \
cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" . && \
make && \
make install && \
rm -rf ${DIR}
## fridibi https://www.fribidi.org/
RUN \
DIR=/tmp/fribidi && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/fribidi/fribidi/archive/${FRIBIDI_VERSION}.tar.gz && \
echo ${FRIBIDI_SHA256SUM} | sha256sum --check && \
tar -zx --strip-components=1 -f ${FRIBIDI_VERSION}.tar.gz && \
sed -i 's/^SUBDIRS =.*/SUBDIRS=gen.tab charset lib bin/' Makefile.am && \
./bootstrap --no-config --auto && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make -j1 && \
make install && \
rm -rf ${DIR}
## kvazaar https://github.com/ultravideo/kvazaar
RUN \
DIR=/tmp/kvazaar && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/ultravideo/kvazaar/archive/v${KVAZAAR_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f v${KVAZAAR_VERSION}.tar.gz && \
./autogen.sh && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/aom && \
git clone --branch ${AOM_VERSION} --depth 1 https://aomedia.googlesource.com/aom ${DIR} ; \
cd ${DIR} ; \
rm -rf CMakeCache.txt CMakeFiles ; \
mkdir -p ./aom_build ; \
cd ./aom_build ; \
cmake -DCMAKE_INSTALL_PREFIX="${PREFIX}" -DBUILD_SHARED_LIBS=1 ..; \
make ; \
make install ; \
rm -rf ${DIR}
## libxcb (and supporting libraries) for screen capture https://xcb.freedesktop.org/
RUN \
DIR=/tmp/xorg-macros && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive//individual/util/util-macros-${XORG_MACROS_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f util-macros-${XORG_MACROS_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/xproto && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive/individual/proto/xproto-${XPROTO_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f xproto-${XPROTO_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libXau && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://www.x.org/archive/individual/lib/libXau-${XAU_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libXau-${XAU_VERSION}.tar.gz && \
./configure --srcdir=${DIR} --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libpthread-stubs && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libpthread-stubs-${LIBPTHREAD_STUBS_VERSION}.tar.gz && \
./configure --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libxcb-proto && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f xcb-proto-${XCBPROTO_VERSION}.tar.gz && \
ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
./configure --prefix="${PREFIX}" && \
make && \
make install && \
rm -rf ${DIR}
RUN \
DIR=/tmp/libxcb && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://xcb.freedesktop.org/dist/libxcb-${LIBXCB_VERSION}.tar.gz && \
tar -zx --strip-components=1 -f libxcb-${LIBXCB_VERSION}.tar.gz && \
ACLOCAL_PATH="${PREFIX}/share/aclocal" ./autogen.sh && \
./configure --prefix="${PREFIX}" --disable-static --enable-shared && \
make && \
make install && \
rm -rf ${DIR}
## libzmq https://github.com/zeromq/libzmq/
RUN \
DIR=/tmp/libzmq && \
mkdir -p ${DIR} && \
cd ${DIR} && \
curl -sLO https://github.com/zeromq/libzmq/archive/v${LIBZMQ_VERSION}.tar.gz && \
echo ${LIBZMQ_SHA256SUM} | sha256sum --check && \
tar -xz --strip-components=1 -f v${LIBZMQ_VERSION}.tar.gz && \
./autogen.sh && \
./configure --prefix="${PREFIX}" && \
make && \
make check && \
make install && \
rm -rf ${DIR}
## ffmpeg https://ffmpeg.org/
RUN \
DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
curl -sLO https://ffmpeg.org/releases/ffmpeg-${FFMPEG_VERSION}.tar.bz2 && \
tar -jx --strip-components=1 -f ffmpeg-${FFMPEG_VERSION}.tar.bz2
RUN \
DIR=/tmp/ffmpeg && mkdir -p ${DIR} && cd ${DIR} && \
./configure \
--disable-debug \
--disable-doc \
--disable-ffplay \
--enable-shared \
--enable-avresample \
--enable-libopencore-amrnb \
--enable-libopencore-amrwb \
--enable-gpl \
--enable-libfreetype \
--enable-libvidstab \
--enable-libmfx \
--enable-libmp3lame \
--enable-libopus \
--enable-libtheora \
--enable-libvorbis \
--enable-libvpx \
--enable-libwebp \
--enable-libxcb \
--enable-libx265 \
--enable-libxvid \
--enable-libx264 \
--enable-nonfree \
--enable-openssl \
--enable-libfdk_aac \
--enable-postproc \
--enable-small \
--enable-version3 \
--enable-libzmq \
--extra-libs=-ldl \
--prefix="${PREFIX}" \
--enable-libopenjpeg \
--enable-libkvazaar \
--enable-libaom \
--extra-libs=-lpthread \
--enable-vaapi \
--extra-cflags="-I${PREFIX}/include" \
--extra-ldflags="-L${PREFIX}/lib" && \
make && \
make install && \
make tools/zmqsend && cp tools/zmqsend ${PREFIX}/bin/ && \
make distclean && \
hash -r && \
cd tools && \
make qt-faststart && cp qt-faststart ${PREFIX}/bin/
## cleanup
RUN \
ldd ${PREFIX}/bin/ffmpeg | grep opt/ffmpeg | cut -d ' ' -f 3 | xargs -i cp {} /usr/local/lib/ && \
for lib in /usr/local/lib/*.so.*; do ln -s "${lib##*/}" "${lib%%.so.*}".so; done && \
cp ${PREFIX}/bin/* /usr/local/bin/ && \
cp -r ${PREFIX}/share/ffmpeg /usr/local/share/ && \
LD_LIBRARY_PATH=/usr/local/lib ffmpeg -buildconf && \
cp -r ${PREFIX}/include/libav* ${PREFIX}/include/libpostproc ${PREFIX}/include/libsw* /usr/local/include && \
mkdir -p /usr/local/lib/pkgconfig && \
for pc in ${PREFIX}/lib/pkgconfig/libav*.pc ${PREFIX}/lib/pkgconfig/libpostproc.pc ${PREFIX}/lib/pkgconfig/libsw*.pc; do \
sed "s:${PREFIX}:/usr/local:g" <"$pc" >/usr/local/lib/pkgconfig/"${pc##*/}"; \
done
FROM base AS release
ENV LD_LIBRARY_PATH=/usr/local/lib:/usr/local/lib64:/usr/lib:/usr/lib64:/lib:/lib64
CMD ["--help"]
ENTRYPOINT ["ffmpeg"]
COPY --from=build /usr/local /usr/local/
RUN \
apt-get update -y && \
apt-get install -y --no-install-recommends libva-drm2 libva2 i965-va-driver mesa-va-drivers && \
rm -rf /var/lib/apt/lists/*

View File

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

View File

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

9
docker/Dockerfile.web Normal file
View File

@@ -0,0 +1,9 @@
ARG NODE_VERSION=14.0
FROM node:${NODE_VERSION}
WORKDIR /opt/frigate
COPY . .
RUN npm install && npm run build

42
docker/Dockerfile.wheels Normal file
View File

@@ -0,0 +1,42 @@
FROM ubuntu:20.04 as build
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get -qq update \
&& apt-get -qq install -y \
python3 \
python3-dev \
wget \
# opencv dependencies
build-essential cmake git pkg-config libgtk-3-dev \
libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
gfortran openexr libatlas-base-dev libssl-dev\
libtbb2 libtbb-dev libdc1394-22-dev libopenexr-dev \
libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
# scipy dependencies
gcc gfortran libopenblas-dev liblapack-dev cython
RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
&& python3 get-pip.py "pip==20.2.4"
RUN pip3 install scikit-build
RUN pip3 wheel --wheel-dir=/wheels \
opencv-python-headless \
# pinning due to issue in 1.19.5 https://github.com/numpy/numpy/issues/18131
numpy==1.19.4 \
imutils \
scipy \
psutil \
Flask \
paho-mqtt \
PyYAML \
matplotlib \
click \
setproctitle \
peewee
FROM scratch
COPY --from=build /wheels /wheels

View File

@@ -1,66 +0,0 @@
#!/bin/bash
set -euxo pipefail
NGINX_VERSION="1.22.1"
VOD_MODULE_VERSION="1.30"
SECURE_TOKEN_MODULE_VERSION="1.4"
RTMP_MODULE_VERSION="1.2.1"
cp /etc/apt/sources.list /etc/apt/sources.list.d/sources-src.list
sed -i 's|deb http|deb-src http|g' /etc/apt/sources.list.d/sources-src.list
apt-get update
apt-get -yqq build-dep nginx
apt-get -yqq install --no-install-recommends ca-certificates wget
update-ca-certificates -f
mkdir /tmp/nginx
wget -nv https://nginx.org/download/nginx-${NGINX_VERSION}.tar.gz
tar -zxf nginx-${NGINX_VERSION}.tar.gz -C /tmp/nginx --strip-components=1
rm nginx-${NGINX_VERSION}.tar.gz
mkdir /tmp/nginx-vod-module
wget -nv https://github.com/kaltura/nginx-vod-module/archive/refs/tags/${VOD_MODULE_VERSION}.tar.gz
tar -zxf ${VOD_MODULE_VERSION}.tar.gz -C /tmp/nginx-vod-module --strip-components=1
rm ${VOD_MODULE_VERSION}.tar.gz
# Patch MAX_CLIPS to allow more clips to be added than the default 128
sed -i 's/MAX_CLIPS (128)/MAX_CLIPS (1080)/g' /tmp/nginx-vod-module/vod/media_set.h
patch -d /tmp/nginx-vod-module/ -p1 << 'EOF'
--- a/vod/avc_hevc_parser.c 2022-06-27 11:38:10.000000000 +0000
+++ b/vod/avc_hevc_parser.c 2023-01-16 11:25:10.900521298 +0000
@@ -3,6 +3,9 @@
bool_t
avc_hevc_parser_rbsp_trailing_bits(bit_reader_state_t* reader)
{
+ // https://github.com/blakeblackshear/frigate/issues/4572
+ return TRUE;
+
uint32_t one_bit;
if (reader->stream.eof_reached)
EOF
mkdir /tmp/nginx-secure-token-module
wget https://github.com/kaltura/nginx-secure-token-module/archive/refs/tags/${SECURE_TOKEN_MODULE_VERSION}.tar.gz
tar -zxf ${SECURE_TOKEN_MODULE_VERSION}.tar.gz -C /tmp/nginx-secure-token-module --strip-components=1
rm ${SECURE_TOKEN_MODULE_VERSION}.tar.gz
mkdir /tmp/nginx-rtmp-module
wget -nv https://github.com/arut/nginx-rtmp-module/archive/refs/tags/v${RTMP_MODULE_VERSION}.tar.gz
tar -zxf v${RTMP_MODULE_VERSION}.tar.gz -C /tmp/nginx-rtmp-module --strip-components=1
rm v${RTMP_MODULE_VERSION}.tar.gz
cd /tmp/nginx
./configure --prefix=/usr/local/nginx \
--with-file-aio \
--with-http_sub_module \
--with-http_ssl_module \
--with-threads \
--add-module=../nginx-vod-module \
--add-module=../nginx-secure-token-module \
--add-module=../nginx-rtmp-module \
--with-cc-opt="-O3 -Wno-error=implicit-fallthrough"
make -j$(nproc) && make install
rm -rf /usr/local/nginx/html /usr/local/nginx/conf/*.default

View File

@@ -1,13 +0,0 @@
#!/command/with-contenv bash
# 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 "[INFO] The fake Frigate service is running..."
sleep 5s
done

View File

@@ -1,88 +0,0 @@
#!/bin/bash
set -euxo pipefail
apt-get -qq update
apt-get -qq install --no-install-recommends -y \
apt-transport-https \
gnupg \
wget \
procps vainfo \
unzip locales tzdata libxml2 xz-utils \
python3-pip \
curl \
jq
mkdir -p -m 600 /root/.gnupg
# add coral repo
wget --quiet -O /usr/share/keyrings/google-edgetpu.gpg https://packages.cloud.google.com/apt/doc/apt-key.gpg
echo "deb [signed-by=/usr/share/keyrings/google-edgetpu.gpg] https://packages.cloud.google.com/apt coral-edgetpu-stable main" | tee /etc/apt/sources.list.d/coral-edgetpu.list
echo "libedgetpu1-max libedgetpu/accepted-eula select true" | debconf-set-selections
# enable non-free repo
sed -i -e's/ main/ main contrib non-free/g' /etc/apt/sources.list
# coral drivers
apt-get -qq update
apt-get -qq install --no-install-recommends --no-install-suggests -y \
libedgetpu1-max python3-tflite-runtime python3-pycoral
# btbn-ffmpeg -> amd64
if [[ "${TARGETARCH}" == "amd64" ]]; then
mkdir -p /usr/lib/btbn-ffmpeg
wget -qO btbn-ffmpeg.tar.xz "https://github.com/BtbN/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linux64-gpl-5.1.tar.xz"
tar -xf btbn-ffmpeg.tar.xz -C /usr/lib/btbn-ffmpeg --strip-components 1
rm -rf btbn-ffmpeg.tar.xz /usr/lib/btbn-ffmpeg/doc /usr/lib/btbn-ffmpeg/bin/ffplay
fi
# ffmpeg -> arm32
if [[ "${TARGETARCH}" == "arm" ]]; then
# add raspberry pi repo
gpg --no-default-keyring --keyring /usr/share/keyrings/raspbian.gpg --keyserver keyserver.ubuntu.com --recv-keys 9165938D90FDDD2E
echo "deb [signed-by=/usr/share/keyrings/raspbian.gpg] http://raspbian.raspberrypi.org/raspbian/ bullseye main contrib non-free rpi" | tee /etc/apt/sources.list.d/raspi.list
apt-get -qq update
apt-get -qq install --no-install-recommends --no-install-suggests -y ffmpeg
fi
# ffmpeg -> arm64
if [[ "${TARGETARCH}" == "arm64" ]]; then
# add raspberry pi repo
gpg --no-default-keyring --keyring /usr/share/keyrings/raspbian.gpg --keyserver keyserver.ubuntu.com --recv-keys 82B129927FA3303E
echo "deb [signed-by=/usr/share/keyrings/raspbian.gpg] https://archive.raspberrypi.org/debian/ bullseye main" | tee /etc/apt/sources.list.d/raspi.list
apt-get -qq update
apt-get -qq install --no-install-recommends --no-install-suggests -y ffmpeg
fi
# arch specific packages
if [[ "${TARGETARCH}" == "amd64" ]]; then
# Use debian testing repo only for hwaccel packages
echo 'deb http://deb.debian.org/debian testing main non-free' >/etc/apt/sources.list.d/debian-testing.list
apt-get -qq update
# intel-opencl-icd specifically for GPU support in OpenVino
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
rm -f /etc/apt/sources.list.d/debian-testing.list
fi
if [[ "${TARGETARCH}" == "arm64" ]]; then
apt-get -qq install --no-install-recommends --no-install-suggests -y \
libva-drm2 mesa-va-drivers
fi
# not sure why 32bit arm requires all these
if [[ "${TARGETARCH}" == "arm" ]]; then
apt-get -qq install --no-install-recommends --no-install-suggests -y \
libgtk-3-dev \
libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
gfortran openexr libatlas-base-dev libtbb-dev libdc1394-22-dev libopenexr-dev \
libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev
fi
apt-get purge gnupg apt-transport-https wget xz-utils -y
apt-get clean autoclean -y
apt-get autoremove --purge -y
rm -rf /var/lib/apt/lists/*

View File

@@ -1,21 +0,0 @@
#!/bin/bash
set -euxo pipefail
s6_version="3.1.3.0"
if [[ "${TARGETARCH}" == "amd64" ]]; then
s6_arch="x86_64"
elif [[ "${TARGETARCH}" == "arm" ]]; then
s6_arch="armhf"
elif [[ "${TARGETARCH}" == "arm64" ]]; then
s6_arch="aarch64"
fi
mkdir -p /rootfs/
wget -qO- "https://github.com/just-containers/s6-overlay/releases/download/v${s6_version}/s6-overlay-noarch.tar.xz" |
tar -C /rootfs/ -Jxpf -
wget -qO- "https://github.com/just-containers/s6-overlay/releases/download/v${s6_version}/s6-overlay-${s6_arch}.tar.xz" |
tar -C /rootfs/ -Jxpf -

View File

@@ -1,5 +0,0 @@
/usr/local/lib/python3.9/dist-packages/nvidia/cudnn/lib
/usr/local/lib/python3.9/dist-packages/nvidia/cuda_runtime/lib
/usr/local/lib/python3.9/dist-packages/nvidia/cublas/lib
/usr/local/lib/python3.9/dist-packages/nvidia/cuda_nvrtc/lib
/usr/local/lib/python3.9/dist-packages/tensorrt

View File

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

View File

@@ -1,4 +0,0 @@
#!/command/with-contenv bash
# shellcheck shell=bash
exec logutil-service /dev/shm/logs/frigate

View File

@@ -1 +0,0 @@
longrun

View File

@@ -1,30 +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
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 "Service ${service} exited with code ${exit_code_service} (by signal ${exit_code_signal})" >&2
if [[ "${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
else
# Exit code 0 is expected when Frigate is restarted by the user. In this case,
# we create a signal for the go2rtc finish script to tolerate the restart.
touch /dev/shm/restarting-frigate
fi
exec /run/s6/basedir/bin/halt

View File

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

View File

@@ -1,16 +0,0 @@
#!/command/with-contenv bash
# shellcheck shell=bash
# Start the Frigate service
set -o errexit -o nounset -o pipefail
# Tell S6-Overlay not to restart this service
s6-svc -O .
echo "[INFO] Starting Frigate..." >&2
cd /opt/frigate || echo "[ERROR] Failed to change working directory to /opt/frigate" >&2
# Replace the bash process with the Frigate process, redirecting stderr to stdout
exec 2>&1
exec python3 -u -m frigate

View File

@@ -1 +0,0 @@
longrun

View File

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

View File

@@ -1,4 +0,0 @@
#!/command/with-contenv bash
# shellcheck shell=bash
exec logutil-service /dev/shm/logs/go2rtc

View File

@@ -1 +0,0 @@
longrun

View File

@@ -1,32 +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
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="go2rtc"
echo "Service ${service} exited with code ${exit_code_service} (by signal ${exit_code_signal})" >&2
if [[ "${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
else
# go2rtc is not supposed to exit, so even when it exits with 0 we make the
# container with 1. We only tolerate it when Frigate is restarting.
if [[ "${exit_code_container}" -eq 0 && ! -f /dev/shm/restarting-frigate ]]; then
echo "1" > /run/s6-linux-init-container-results/exitcode
fi
fi
exec /run/s6/basedir/bin/halt

View File

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

View File

@@ -1,60 +0,0 @@
#!/command/with-contenv bash
# shellcheck shell=bash
# Start the go2rtc service
set -o errexit -o nounset -o pipefail
# Tell S6-Overlay not to restart this service
s6-svc -O .
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: ${ip_address}" >&2
else
echo "[WARN] Failed to get IP address from supervisor" >&2
return 0
fi
local webrtc_port
local port_regex='^([0-9]{1,5})$'
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: ${ip_address}" >&2
else
echo "[WARN] Failed to get WebRTC port from supervisor" >&2
return 0
fi
export FRIGATE_GO2RTC_WEBRTC_CANDIDATE_INTERNAL="${ip_address}:${webrtc_port}"
}
echo "[INFO] Preparing go2rtc config..." >&2
if [[ -n "${SUPERVISOR_TOKEN:-}" ]]; then
# Running as a Home Assistant add-on, infer the IP address and port
get_ip_and_port_from_supervisor
fi
raw_config=$(python3 /usr/local/go2rtc/create_config.py)
echo "[INFO] Starting go2rtc..." >&2
# Replace the bash process with the go2rtc process, redirecting stderr to stdout
exec 2>&1
exec go2rtc -config="${raw_config}"

View File

@@ -1 +0,0 @@
longrun

View File

@@ -1,11 +0,0 @@
#!/command/with-contenv bash
# shellcheck shell=bash
# Prepare the logs folder for s6-log
set -o errexit -o nounset -o pipefail
dirs=(/dev/shm/logs/frigate /dev/shm/logs/go2rtc /dev/shm/logs/nginx)
mkdir -p "${dirs[@]}"
chown nobody:nogroup "${dirs[@]}"
chmod 02755 "${dirs[@]}"

View File

@@ -1 +0,0 @@
oneshot

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

View File

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

View File

@@ -1,4 +0,0 @@
#!/command/with-contenv bash
# shellcheck shell=bash
exec logutil-service /dev/shm/logs/nginx

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@@ -1 +0,0 @@
longrun

View File

@@ -1,28 +0,0 @@
#!/command/with-contenv bash
# shellcheck shell=bash
# Take down the S6 supervision tree when the service fails
set -o errexit -o nounset -o pipefail
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 "Service ${service} exited with code ${exit_code_service} (by signal ${exit_code_signal})" >&2
if [[ "${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

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

View File

@@ -1,11 +0,0 @@
#!/command/with-contenv bash
# shellcheck shell=bash
# Start the NGINX service
set -o errexit -o nounset -o pipefail
echo "[INFO] Starting NGINX..." >&2
# Replace the bash process with the NGINX process, redirecting stderr to stdout
exec 2>&1
exec nginx

View File

@@ -1 +0,0 @@
longrun

View File

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

View File

@@ -1,67 +0,0 @@
"""Creates a go2rtc config file."""
import json
import os
import sys
import yaml
BTBN_PATH = "/usr/lib/btbn-ffmpeg"
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
config_file_yaml = config_file.replace(".yml", ".yaml")
if os.path.isfile(config_file_yaml):
config_file = config_file_yaml
with open(config_file) as f:
raw_config = f.read()
if config_file.endswith((".yaml", ".yml")):
config = yaml.safe_load(raw_config)
elif config_file.endswith(".json"):
config = json.loads(raw_config)
go2rtc_config: dict[str, any] = config.get("go2rtc", {})
# 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", []):
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")
go2rtc_config["webrtc"] = {"candidates": default_candidates}
else:
print("[INFO] Not injecting WebRTC candidates into go2rtc config as it has been set manually", file=sys.stderr)
# 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)
print(json.dumps(go2rtc_config))

View File

@@ -1,271 +0,0 @@
daemon off;
user root;
worker_processes auto;
error_log /dev/stdout warn;
pid /var/run/nginx.pid;
events {
worker_connections 1024;
}
http {
include mime.types;
default_type application/octet-stream;
log_format main '$remote_addr - $remote_user [$time_local] "$request" '
'$status $body_bytes_sent "$http_referer" '
'"$http_user_agent" "$http_x_forwarded_for"';
access_log /dev/stdout main;
# send headers in one piece, it is better than sending them one by one
tcp_nopush on;
sendfile on;
keepalive_timeout 65;
gzip on;
gzip_comp_level 6;
gzip_types text/plain text/css application/json application/x-javascript application/javascript text/javascript image/svg+xml image/x-icon image/bmp image/png image/gif image/jpeg image/jpg;
gzip_proxied no-cache no-store private expired auth;
gzip_vary on;
upstream frigate_api {
server 127.0.0.1:5001;
keepalive 1024;
}
upstream mqtt_ws {
server 127.0.0.1:5002;
keepalive 1024;
}
upstream jsmpeg {
server 127.0.0.1:8082;
keepalive 1024;
}
upstream go2rtc {
server 127.0.0.1:1984;
keepalive 1024;
}
server {
listen 5000;
# vod settings
vod_base_url '';
vod_segments_base_url '';
vod_mode mapped;
vod_max_mapping_response_size 1m;
vod_upstream_location /api;
vod_align_segments_to_key_frames on;
vod_manifest_segment_durations_mode accurate;
vod_ignore_edit_list on;
vod_segment_duration 10000;
vod_hls_mpegts_align_frames off;
vod_hls_mpegts_interleave_frames on;
# file handle caching / aio
open_file_cache max=1000 inactive=5m;
open_file_cache_valid 2m;
open_file_cache_min_uses 1;
open_file_cache_errors on;
aio on;
# https://github.com/kaltura/nginx-vod-module#vod_open_file_thread_pool
vod_open_file_thread_pool default;
# vod caches
vod_metadata_cache metadata_cache 512m;
vod_mapping_cache mapping_cache 5m 10m;
# gzip manifests
gzip on;
gzip_types application/vnd.apple.mpegurl;
location /vod/ {
aio threads;
vod hls;
secure_token $args;
secure_token_types application/vnd.apple.mpegurl;
add_header Access-Control-Allow-Headers '*';
add_header Access-Control-Expose-Headers 'Server,range,Content-Length,Content-Range';
add_header Access-Control-Allow-Methods 'GET, HEAD, OPTIONS';
add_header Access-Control-Allow-Origin '*';
add_header Cache-Control "no-store";
expires off;
}
location /stream/ {
add_header Cache-Control "no-store";
expires off;
add_header 'Access-Control-Allow-Origin' "$http_origin" always;
add_header 'Access-Control-Allow-Credentials' 'true';
add_header 'Access-Control-Expose-Headers' 'Content-Length';
if ($request_method = 'OPTIONS') {
add_header 'Access-Control-Allow-Origin' "$http_origin";
add_header 'Access-Control-Max-Age' 1728000;
add_header 'Content-Type' 'text/plain charset=UTF-8';
add_header 'Content-Length' 0;
return 204;
}
types {
application/dash+xml mpd;
application/vnd.apple.mpegurl m3u8;
video/mp2t ts;
image/jpeg jpg;
}
root /tmp;
}
location /clips/ {
add_header 'Access-Control-Allow-Origin' "$http_origin" always;
add_header 'Access-Control-Allow-Credentials' 'true';
add_header 'Access-Control-Expose-Headers' 'Content-Length';
if ($request_method = 'OPTIONS') {
add_header 'Access-Control-Allow-Origin' "$http_origin";
add_header 'Access-Control-Max-Age' 1728000;
add_header 'Content-Type' 'text/plain charset=UTF-8';
add_header 'Content-Length' 0;
return 204;
}
types {
video/mp4 mp4;
image/jpeg jpg;
}
autoindex on;
root /media/frigate;
}
location /cache/ {
internal; # This tells nginx it's not accessible from the outside
alias /tmp/cache/;
}
location /recordings/ {
add_header 'Access-Control-Allow-Origin' "$http_origin" always;
add_header 'Access-Control-Allow-Credentials' 'true';
add_header 'Access-Control-Expose-Headers' 'Content-Length';
if ($request_method = 'OPTIONS') {
add_header 'Access-Control-Allow-Origin' "$http_origin";
add_header 'Access-Control-Max-Age' 1728000;
add_header 'Content-Type' 'text/plain charset=UTF-8';
add_header 'Content-Length' 0;
return 204;
}
types {
video/mp4 mp4;
}
autoindex on;
autoindex_format json;
root /media/frigate;
}
location /ws {
proxy_pass http://mqtt_ws/;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "Upgrade";
proxy_set_header Host $host;
}
location /live/jsmpeg/ {
proxy_pass http://jsmpeg/;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "Upgrade";
proxy_set_header Host $host;
}
location /live/mse/ {
proxy_pass http://go2rtc/;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "Upgrade";
proxy_set_header Host $host;
}
location /live/webrtc/ {
proxy_pass http://go2rtc/;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "Upgrade";
proxy_set_header Host $host;
}
location ~* /api/.*\.(jpg|jpeg|png)$ {
add_header 'Access-Control-Allow-Origin' '*';
add_header 'Access-Control-Allow-Methods' 'GET, POST, PUT, DELETE, OPTIONS';
rewrite ^/api/(.*)$ $1 break;
proxy_pass http://frigate_api;
proxy_pass_request_headers on;
proxy_set_header Host $host;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
}
location /api/ {
add_header Cache-Control "no-store";
expires off;
add_header 'Access-Control-Allow-Origin' '*';
add_header 'Access-Control-Allow-Methods' 'GET, POST, PUT, DELETE, OPTIONS';
proxy_pass http://frigate_api/;
proxy_pass_request_headers on;
proxy_set_header Host $host;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
}
location / {
add_header Cache-Control "no-store";
expires off;
location /assets/ {
access_log off;
expires 1y;
add_header Cache-Control "public";
}
sub_filter 'href="/BASE_PATH/' 'href="$http_x_ingress_path/';
sub_filter 'url(/BASE_PATH/' 'url($http_x_ingress_path/';
sub_filter '"/BASE_PATH/dist/' '"$http_x_ingress_path/dist/';
sub_filter '"/BASE_PATH/js/' '"$http_x_ingress_path/js/';
sub_filter '"/BASE_PATH/assets/' '"$http_x_ingress_path/assets/';
sub_filter '"/BASE_PATH/monacoeditorwork/' '"$http_x_ingress_path/assets/';
sub_filter 'return"/BASE_PATH/"' 'return window.baseUrl';
sub_filter '<body>' '<body><script>window.baseUrl="$http_x_ingress_path/";</script>';
sub_filter_types text/css application/javascript;
sub_filter_once off;
root /opt/frigate/web;
try_files $uri $uri/ /index.html;
}
}
}
rtmp {
server {
listen 1935;
chunk_size 4096;
allow publish 127.0.0.1;
deny publish all;
allow play all;
application live {
live on;
record off;
meta copy;
}
}
}

View File

@@ -1,34 +0,0 @@
#!/bin/bash
set -euxo pipefail
CUDA_HOME=/usr/local/cuda
LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
OUTPUT_FOLDER=/tensorrt_models
echo "Generating the following TRT Models: ${YOLO_MODELS:="yolov4-tiny-288,yolov4-tiny-416,yolov7-tiny-416"}"
# Create output folder
mkdir -p ${OUTPUT_FOLDER}
# Install packages
pip install --upgrade pip && pip install onnx==1.9.0 protobuf==3.20.3
# Clone tensorrt_demos repo
git clone --depth 1 https://github.com/yeahme49/tensorrt_demos.git /tensorrt_demos
# Build libyolo
cd /tensorrt_demos/plugins && make all
cp libyolo_layer.so ${OUTPUT_FOLDER}/libyolo_layer.so
# Download yolo weights
cd /tensorrt_demos/yolo && ./download_yolo.sh
# Build trt engine
cd /tensorrt_demos/yolo
for model in ${YOLO_MODELS//,/ }
do
python3 yolo_to_onnx.py -m ${model}
python3 onnx_to_tensorrt.py -m ${model}
cp /tensorrt_demos/yolo/${model}.trt ${OUTPUT_FOLDER}/${model}.trt;
done

View File

@@ -2,4 +2,32 @@
This website is built using [Docusaurus 2](https://v2.docusaurus.io/), a modern static website generator.
For installation and contributing instructions, please follow the [Contributing Docs](https://blakeblackshear.github.io/frigate/contributing).
## Installation
```console
yarn install
```
## Local Development
```console
yarn start
```
This command starts a local development server and open up a browser window. Most changes are reflected live without having to restart the server.
## Build
```console
yarn build
```
This command generates static content into the `build` directory and can be served using any static contents hosting service.
## Deployment
```console
GIT_USER=<Your GitHub username> USE_SSH=true yarn deploy
```
If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch.

View File

@@ -1,9 +1,50 @@
---
id: advanced
title: Advanced Options
sidebar_label: Advanced Options
title: Advanced
sidebar_label: Advanced
---
## Advanced configuration
### `motion`
Global motion detection config. These may also be defined at the camera level.
```yaml
motion:
# Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
# Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
# The value should be between 1 and 255.
threshold: 25
# Optional: Minimum size in pixels in the resized motion image that counts as motion
# Increasing this value will prevent smaller areas of motion from being detected. Decreasing will make motion detection more sensitive to smaller
# moving objects.
contour_area: 100
# Optional: Alpha value passed to cv2.accumulateWeighted when averaging the motion delta across multiple frames (default: shown below)
# Higher values mean the current frame impacts the delta a lot, and a single raindrop may register as motion.
# Too low and a fast moving person wont be detected as motion.
delta_alpha: 0.2
# Optional: Alpha value passed to cv2.accumulateWeighted when averaging frames to determine the background (default: shown below)
# Higher values mean the current frame impacts the average a lot, and a new object will be averaged into the background faster.
# Low values will cause things like moving shadows to be detected as motion for longer.
# https://www.geeksforgeeks.org/background-subtraction-in-an-image-using-concept-of-running-average/
frame_alpha: 0.2
# Optional: Height of the resized motion frame (default: 1/6th of the original frame height)
# This operates as an efficient blur alternative. Higher values will result in more granular motion detection at the expense of higher CPU usage.
# Lower values result in less CPU, but small changes may not register as motion.
frame_height: 180
```
### `detect`
Global object detection settings. These may also be defined at the camera level.
```yaml
detect:
# Optional: Number of frames without a detection before frigate considers an object to be gone. (default: double the frame rate)
max_disappeared: 10
```
### `logger`
Change the default log level for troubleshooting purposes.
@@ -23,7 +64,7 @@ Examples of available modules are:
- `frigate.app`
- `frigate.mqtt`
- `frigate.object_detection`
- `frigate.edgetpu`
- `frigate.zeroconf`
- `detector.<detector_name>`
- `watchdog.<camera_name>`
@@ -31,80 +72,68 @@ Examples of available modules are:
### `environment_vars`
This section can be used to set environment variables for those unable to modify the environment of the container (ie. within HassOS)
Example:
This section can be used to set environment variables for those unable to modify the environment of the container (ie. within Hass.io)
```yaml
environment_vars:
VARIABLE_NAME: variable_value
EXAMPLE_VAR: value
```
### `database`
Event and recording information is managed in a sqlite database at `/media/frigate/frigate.db`. If that database is deleted, recordings will be orphaned and will need to be cleaned up manually. They also won't show up in the Media Browser within Home Assistant.
Event and clip information is managed in a sqlite database at `/media/frigate/clips/frigate.db`. If that database is deleted, clips will be orphaned and will need to be cleaned up manually. They also won't show up in the Media Browser within HomeAssistant.
If you are storing your database on a network share (SMB, NFS, etc), you may get a `database is locked` error message on startup. You can customize the location of the database in the config if necessary.
If you are storing your clips on a network share (SMB, NFS, etc), you may get a `database is locked` error message on startup. You can customize the location of the database in the config if necessary.
This may need to be in a custom location if network storage is used for the media folder.
This may need to be in a custom location if network storage is used for clips.
```yaml
database:
path: /path/to/frigate.db
path: /media/frigate/clips/frigate.db
```
### `detectors`
```yaml
detectors:
# Required: name of the detector
coral:
# Required: type of the detector
# Valid values are 'edgetpu' (requires device property below) and 'cpu'. type: edgetpu
# Optional: device name as defined here: https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api
device: usb
# Optional: num_threads value passed to the tflite.Interpreter (default: shown below)
# This value is only used for CPU types
num_threads: 3
```
### `model`
If using a custom model, the width and height will need to be specified.
Custom models may also require different input tensor formats. The colorspace conversion supports RGB, BGR, or YUV frames to be sent to the object detector. The input tensor shape parameter is an enumeration to match what specified by the model.
| Tensor Dimension | Description |
| :--------------: | -------------- |
| N | Batch Size |
| H | Model Height |
| W | Model Width |
| C | Color Channels |
| Available Input Tensor Shapes |
| :---------------------------: |
| "nhwc" |
| "nchw" |
```yaml
# Optional: model config
model:
path: /path/to/model
width: 320
# Required: height of the trained model
height: 320
input_tensor: "nhwc"
input_pixel_format: "bgr"
# Required: width of the trained model
width: 320
```
The labelmap can be customized to your needs. A common reason to do this is to combine multiple object types that are easily confused when you don't need to be as granular such as car/truck. By default, truck is renamed to car because they are often confused. You cannot add new object types, but you can change the names of existing objects in the model.
## Custom Models
```yaml
model:
labelmap:
2: vehicle
3: vehicle
5: vehicle
7: vehicle
15: animal
16: animal
17: animal
```
Models for both CPU and EdgeTPU (Coral) are bundled in the image. You can use your own models with volume mounts:
Note that if you rename objects in the labelmap, you will also need to update your `objects -> track` list as well.
- CPU Model: `/cpu_model.tflite`
- EdgeTPU Model: `/edgetpu_model.tflite`
- Labels: `/labelmap.txt`
## Custom ffmpeg build
You also need to update the model width/height in the config if they differ from the defaults.
Included with Frigate is a build of ffmpeg that works for the vast majority of users. However, there exists some hardware setups which have incompatibilities with the included build. In this case, a docker volume mapping can be used to overwrite the included ffmpeg build with an ffmpeg build that works for your specific hardware setup.
### Customizing the Labelmap
To do this:
The labelmap can be customized to your needs. A common reason to do this is to combine multiple object types that are easily confused when you don't need to be as granular such as car/truck. You must retain the same number of labels, but you can change the names. To change:
1. Download your ffmpeg build and uncompress to a folder on the host (let's use `/home/appdata/frigate/custom-ffmpeg` for this example).
2. Update your docker-compose or docker CLI to include `'/home/appdata/frigate/custom-ffmpeg':'/usr/lib/btbn-ffmpeg':'ro'` in the volume mappings.
3. Restart Frigate and the custom version will be used if the mapping was done correctly.
NOTE: The folder that is mapped from the host needs to be the folder that contains `/bin`. So if the full structure is `/home/appdata/frigate/custom-ffmpeg/bin/ffmpeg` then `/home/appdata/frigate/custom-ffmpeg` needs to be mapped to `/usr/lib/btbn-ffmpeg`.
- Download the [COCO labelmap](https://dl.google.com/coral/canned_models/coco_labels.txt)
- Modify the label names as desired. For example, change `7 truck` to `7 car`
- Mount the new file at `/labelmap.txt` in the container with an additional volume
```
-v ./config/labelmap.txt:/labelmap.txt
```

View File

@@ -1,35 +0,0 @@
# Birdseye
Birdseye allows a heads-up view of your cameras to see what is going on around your property / space without having to watch all cameras that may have nothing happening. Birdseye allows specific modes that intelligently show and disappear based on what you care about.
### Birdseye Modes
Birdseye offers different modes to customize which cameras show under which circumstances.
- **continuous:** All cameras are always included
- **motion:** Cameras that have detected motion within the last 30 seconds are included
- **objects:** Cameras that have tracked an active object within the last 30 seconds are included
### Custom Birdseye Icon
A custom icon can be added to the birdseye background by providing a 180x180 image named `custom.png` inside of the Frigate `media` folder. The file must be a png with the icon as transparent, any non-transparent pixels will be white when displayed in the birdseye view.
### Birdseye view override at camera level
If you want to include a camera in Birdseye view only for specific circumstances, or just don't include it at all, the Birdseye setting can be set at the camera level.
```yaml
# Include all cameras by default in Birdseye view
birdseye:
enabled: True
mode: continuous
cameras:
front:
# Only include the "front" camera in Birdseye view when objects are detected
birdseye:
mode: objects
back:
# Exclude the "back" camera from Birdseye view
birdseye:
enabled: False
```

View File

@@ -1,144 +0,0 @@
---
id: camera_specific
title: Camera Specific Configurations
---
:::note
This page makes use of presets of FFmpeg args. For more information on presets, see the [FFmpeg Presets](/configuration/ffmpeg_presets) page.
:::
## MJPEG Cameras
Note that mjpeg cameras require encoding the video into h264 for recording, and restream roles. This will use significantly more CPU than if the cameras supported h264 feeds directly. It is recommended to use the restream role to create an h264 restream and then use that as the source for ffmpeg.
```yaml
go2rtc:
streams:
mjpeg_cam: ffmpeg:{your_mjpeg_stream_url}#video=h264#hardware # <- use hardware acceleration to create an h264 stream usable for other components.
cameras:
...
mjpeg_cam:
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/mjpeg_cam
roles:
- detect
- record
```
## JPEG Stream Cameras
Cameras using a live changing jpeg image will need input parameters as below
```yaml
input_args: preset-http-jpeg-generic
```
Outputting the stream will have the same args and caveats as per [MJPEG Cameras](#mjpeg-cameras)
## RTMP Cameras
The input parameters need to be adjusted for RTMP cameras
```yaml
ffmpeg:
input_args: preset-rtmp-generic
```
## UDP Only Cameras
If your cameras do not support TCP connections for RTSP, you can use UDP.
```yaml
ffmpeg:
input_args: preset-rtsp-udp
```
## Model/vendor specific setup
### Annke C800
This camera is H.265 only. To be able to play clips on some devices (like MacOs or iPhone) the H.265 stream has to be repackaged and the audio stream has to be converted to aac. Unfortunately direct playback of in the browser is not working (yet), but the downloaded clip can be played locally.
```yaml
cameras:
annkec800: # <------ Name the camera
ffmpeg:
output_args:
record: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c:v copy -tag:v hvc1 -bsf:v hevc_mp4toannexb -c:a aac
rtmp: -c:v copy -c:a aac -f flv
inputs:
- path: rtsp://user:password@camera-ip:554/H264/ch1/main/av_stream # <----- Update for your camera
roles:
- detect
- record
- rtmp
rtmp:
enabled: False # <-- RTMP should be disabled if your stream is not H264
detect:
width: # <---- update for your camera's resolution
height: # <---- update for your camera's resolution
```
### Blue Iris RTSP Cameras
You will need to remove `nobuffer` flag for Blue Iris RTSP cameras
```yaml
ffmpeg:
input_args: preset-rtsp-blue-iris
```
### Reolink Cameras
Reolink has older cameras (ex: 410 & 520) as well as newer camera (ex: 520a & 511wa) which support different subsets of options. In both cases using the http stream is recommended.
Frigate works much better with newer reolink cameras that are setup with the below options:
If available, recommended settings are:
- `On, fluency first` this sets the camera to CBR (constant bit rate)
- `Interframe Space 1x` this sets the iframe interval to the same as the frame rate
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:
inputs:
- path: rtsp://127.0.0.1:8554/reolink?video=copy&audio=aac
input_args: preset-rtsp-restream
roles:
- record
- 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.
```yaml
ffmpeg:
output_args:
record: preset-record-ubiquiti
rtmp: preset-rtmp-ubiquiti
```

View File

@@ -5,46 +5,406 @@ title: Cameras
## Setting Up Camera Inputs
Several inputs can be configured for each camera and the role of each input can be mixed and matched based on your needs. This allows you to use a lower resolution stream for object detection, but create recordings from a higher resolution stream, or vice versa.
A camera is enabled by default but can be temporarily disabled by using `enabled: False`. Existing events and recordings can still be accessed. Live streams, recording and detecting are not working. Camera specific configurations will be used.
Up to 4 inputs can be configured for each camera and the role of each input can be mixed and matched based on your needs. This allows you to use a lower resolution stream for object detection, but create clips from a higher resolution stream, or vice versa.
Each role can only be assigned to one input per camera. The options for roles are as follows:
| Role | Description |
| ---------- | ---------------------------------------------------------------------------------------- |
| `detect` | Main feed for object detection |
| `record` | Saves segments of the video feed based on configuration settings. [docs](record.md) |
| `rtmp` | Deprecated: Broadcast as an RTMP feed for other services to consume. [docs](restream.md) |
| Role | Description |
| -------- | ------------------------------------------------------------------------------------ |
| `detect` | Main feed for object detection |
| `clips` | Clips of events from objects detected in the `detect` feed. [docs](#recording-clips) |
| `record` | Saves 60 second segments of the video feed. [docs](#247-recordings) |
| `rtmp` | Broadcast as an RTMP feed for other services to consume. [docs](#rtmp-streams) |
### Example
```yaml
mqtt:
host: mqtt.server.com
cameras:
back:
enabled: True
ffmpeg:
inputs:
- path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
roles:
- detect
- rtmp # <- deprecated, recommend using restream instead
- rtmp
- path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/live
roles:
- clips
- record
detect:
width: 1280
height: 720
width: 1280
height: 720
fps: 5
```
Additional cameras are simply added to the config under the `cameras` entry.
## Masks & Zones
### Masks
Masks are used to ignore initial detection in areas of your camera's field of view.
There are two types of masks available:
- **Motion masks**: Motion masks are used to prevent unwanted types of motion from triggering detection. Try watching the video feed with `Motion Boxes` enabled to see what may be regularly detected as motion. For example, you want to mask out your timestamp, the sky, rooftops, etc. Keep in mind that this mask only prevents motion from being detected and does not prevent objects from being detected if object detection was started due to motion in unmasked areas. Motion is also used during object tracking to refine the object detection area in the next frame. Over masking will make it more difficult for objects to be tracked. To see this effect, create a mask, and then watch the video feed with `Motion Boxes` enabled again.
- **Object filter masks**: Object filter masks are used to filter out false positives for a given object type. These should be used to filter any areas where it is not possible for an object of that type to be. The bottom center of the detected object's bounding box is evaluated against the mask. If it is in a masked area, it is assumed to be a false positive. For example, you may want to mask out rooftops, walls, the sky, treetops for people. For cars, masking locations other than the street or your driveway will tell frigate that anything in your yard is a false positive.
To create a poly mask:
1. Visit the [web UI](/usage/web)
1. Click the camera you wish to create a mask for
1. Click "Mask & Zone creator"
1. Click "Add" on the type of mask or zone you would like to create
1. Click on the camera's latest image to create a masked area. The yaml representation will be updated in real-time
1. When you've finished creating your mask, click "Copy" and paste the contents into your `config.yaml` file and restart Frigate
Example of a finished row corresponding to the below example image:
```yaml
mqtt: ...
cameras:
back: ...
front: ...
side: ...
motion:
mask: '0,461,3,0,1919,0,1919,843,1699,492,1344,458,1346,336,973,317,869,375,866,432'
```
For camera model specific settings check the [camera specific](camera_specific.md) infos.
![poly](/img/example-mask-poly.png)
```yaml
# Optional: camera level motion config
motion:
# Optional: motion mask
# NOTE: see docs for more detailed info on creating masks
mask: 0,900,1080,900,1080,1920,0,1920
```
### Zones
Zones allow you to define a specific area of the frame and apply additional filters for object types so you can determine whether or not an object is within a particular area. Zones cannot have the same name as a camera. If desired, a single zone can include multiple cameras if you have multiple cameras covering the same area by configuring zones with the same name for each camera.
During testing, `draw_zones` should be set in the config to draw the zone on the frames so you can adjust as needed. The zone line will increase in thickness when any object enters the zone.
To create a zone, follow the same steps above for a "Motion mask", but use the section of the web UI for creating a zone instead.
```yaml
# Optional: zones for this camera
zones:
# Required: name of the zone
# NOTE: This must be different than any camera names, but can match with another zone on another
# camera.
front_steps:
# Required: List of x,y coordinates to define the polygon of the zone.
# NOTE: Coordinates can be generated at https://www.image-map.net/
coordinates: 545,1077,747,939,788,805
# Optional: Zone level object filters.
# NOTE: The global and camera filters are applied upstream.
filters:
person:
min_area: 5000
max_area: 100000
threshold: 0.7
```
## Objects
```yaml
# Optional: Camera level object filters config.
objects:
track:
- person
- car
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.7
# Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object
mask: 0,0,1000,0,1000,200,0,200
```
## Clips
Frigate can save video clips without any CPU overhead for encoding by simply copying the stream directly with FFmpeg. It leverages FFmpeg's segment functionality to maintain a cache of video for each camera. The cache files are written to disk at `/tmp/cache` and do not introduce memory overhead. When an object is being tracked, it will extend the cache to ensure it can assemble a clip when the event ends. Once the event ends, it again uses FFmpeg to assemble a clip by combining the video clips without any encoding by the CPU. Assembled clips are are saved to `/media/frigate/clips`. Clips are retained according to the retention settings defined on the config for each object type.
:::caution
Previous versions of frigate included `-vsync drop` in input parameters. This is not compatible with FFmpeg's segment feature and must be removed from your input parameters if you have overrides set.
:::
```yaml
clips:
# Required: enables clips for the camera (default: shown below)
# This value can be set via MQTT and will be updated in startup based on retained value
enabled: False
# Optional: Number of seconds before the event to include in the clips (default: shown below)
pre_capture: 5
# Optional: Number of seconds after the event to include in the clips (default: shown below)
post_capture: 5
# Optional: Objects to save clips for. (default: all tracked objects)
objects:
- person
# Optional: Camera override for retention settings (default: global values)
retain:
# Required: Default retention days (default: shown below)
default: 10
# Optional: Per object retention days
objects:
person: 15
```
## Snapshots
Frigate can save a snapshot image to `/media/frigate/clips` for each event named as `<camera>-<id>.jpg`.
```yaml
# Optional: Configuration for the jpg snapshots written to the clips directory for each event
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: print a timestamp on the snapshots (default: shown below)
timestamp: False
# Optional: draw bounding box on the snapshots (default: shown below)
bounding_box: False
# Optional: crop the snapshot (default: shown below)
crop: False
# Optional: height to resize the snapshot to (default: original size)
height: 175
# Optional: Camera override for retention settings (default: global values)
retain:
# Required: Default retention days (default: shown below)
default: 10
# Optional: Per object retention days
objects:
person: 15
```
## 24/7 Recordings
24/7 recordings can be enabled and are stored at `/media/frigate/recordings`. The folder structure for the recordings is `YYYY-MM/DD/HH/<camera_name>/MM.SS.mp4`. These recordings are written directly from your camera stream without re-encoding and are available in HomeAssistant's media browser. Each camera supports a configurable retention policy in the config.
:::caution
Previous versions of frigate included `-vsync drop` in input parameters. This is not compatible with FFmpeg's segment feature and must be removed from your input parameters if you have overrides set.
:::
```yaml
# Optional: 24/7 recording configuration
record:
# Optional: Enable recording (default: global setting)
enabled: False
# Optional: Number of days to retain (default: global setting)
retain_days: 30
```
## RTMP streams
Frigate can re-stream your video feed as a RTMP feed for other applications such as HomeAssistant to utilize it at `rtmp://<frigate_host>/live/<camera_name>`. Port 1935 must be open. This allows you to use a video feed for detection in frigate and HomeAssistant live view at the same time without having to make two separate connections to the 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.
Some video feeds are not compatible with RTMP. If you are experiencing issues, check to make sure your camera feed is h264 with AAC audio. If your camera doesn't support a compatible format for RTMP, you can use the ffmpeg args to re-encode it on the fly at the expense of increased CPU utilization.
## Full example
The following is a full example of all of the options together for a camera configuration
```yaml
cameras:
# Required: name of the camera
back:
# Required: ffmpeg settings for the camera
ffmpeg:
# Required: A list of input streams for the camera. See documentation for more information.
inputs:
# Required: the path to the stream
# NOTE: Environment variables that begin with 'FRIGATE_' may 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,clips,rtmp
# NOTICE: In addition to assigning the record, clips, and rtmp roles,
# they must also be enabled in the camera config.
roles:
- detect
- rtmp
# Optional: stream specific global args (default: inherit)
global_args:
# Optional: stream specific hwaccel args (default: inherit)
hwaccel_args:
# Optional: stream specific input args (default: inherit)
input_args:
# Optional: camera specific global args (default: inherit)
global_args:
# Optional: camera specific hwaccel args (default: inherit)
hwaccel_args:
# Optional: camera specific input args (default: inherit)
input_args:
# Optional: camera specific output args (default: inherit)
output_args:
# Required: width of the frame for the input with the detect role
width: 1280
# Required: height of the frame for the input with the detect role
height: 720
# Optional: desired fps for your camera for the input with the detect role
# NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
# Frigate will attempt to autodetect if not specified.
fps: 5
# Optional: camera level motion config
motion:
# Optional: motion mask
# NOTE: see docs for more detailed info on creating masks
mask: 0,900,1080,900,1080,1920,0,1920
# Optional: timeout for highest scoring image before allowing it
# to be replaced by a newer image. (default: shown below)
best_image_timeout: 60
# Optional: zones for this camera
zones:
# Required: name of the zone
# NOTE: This must be different than any camera names, but can match with another zone on another
# camera.
front_steps:
# Required: List of x,y coordinates to define the polygon of the zone.
# NOTE: Coordinates can be generated at https://www.image-map.net/
coordinates: 545,1077,747,939,788,805
# Optional: Zone level object filters.
# NOTE: The global and camera filters are applied upstream.
filters:
person:
min_area: 5000
max_area: 100000
threshold: 0.7
# Optional: Camera level detect settings
detect:
# 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: double the frame rate)
max_disappeared: 10
# Optional: save clips configuration
clips:
# Required: enables clips for the camera (default: shown below)
# This value can be set via MQTT and will be updated in startup based on retained value
enabled: False
# Optional: Number of seconds before the event to include in the clips (default: shown below)
pre_capture: 5
# Optional: Number of seconds after the event to include in the clips (default: shown below)
post_capture: 5
# Optional: Objects to save clips for. (default: all tracked objects)
objects:
- person
# Optional: Camera override for retention settings (default: global values)
retain:
# Required: Default retention days (default: shown below)
default: 10
# Optional: Per object retention days
objects:
person: 15
# Optional: 24/7 recording configuration
record:
# Optional: Enable recording (default: global setting)
enabled: False
# Optional: Number of days to retain (default: global setting)
retain_days: 30
# Optional: RTMP re-stream configuration
rtmp:
# Required: Enable the live stream (default: True)
enabled: True
# Optional: Configuration for the jpg snapshots written to the clips directory for each event
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: print a timestamp on the snapshots (default: shown below)
timestamp: False
# Optional: draw bounding box on the snapshots (default: shown below)
bounding_box: False
# Optional: crop the snapshot (default: shown below)
crop: False
# Optional: height to resize the snapshot to (default: original size)
height: 175
# Optional: Camera override for retention settings (default: global values)
retain:
# Required: Default retention days (default: shown below)
default: 10
# Optional: Per object retention days
objects:
person: 15
# Optional: Configuration for the jpg snapshots published via MQTT
mqtt:
# Optional: Enable publishing snapshot via mqtt for camera (default: shown below)
# NOTE: Only applies to publishing image data to MQTT via 'frigate/<camera_name>/<object_name>/snapshot'.
# All other messages will still be published.
enabled: True
# Optional: print a timestamp on the snapshots (default: shown below)
timestamp: True
# Optional: draw bounding box on the snapshots (default: shown below)
bounding_box: True
# Optional: crop the snapshot (default: shown below)
crop: True
# Optional: height to resize the snapshot to (default: shown below)
height: 270
# Optional: Camera level object filters config.
objects:
track:
- person
- car
filters:
person:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.7
# Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object
mask: 0,0,1000,0,1000,200,0,200
```
## Camera specific configuration
### RTMP Cameras
The input parameters need to be adjusted for RTMP cameras
```yaml
ffmpeg:
input_args:
- -avoid_negative_ts
- make_zero
- -fflags
- nobuffer
- -flags
- low_delay
- -strict
- experimental
- -fflags
- +genpts+discardcorrupt
- -use_wallclock_as_timestamps
- '1'
```
### Blue Iris RTSP Cameras
You will need to remove `nobuffer` flag for Blue Iris RTSP cameras
```yaml
ffmpeg:
input_args:
- -avoid_negative_ts
- make_zero
- -flags
- low_delay
- -strict
- experimental
- -fflags
- +genpts+discardcorrupt
- -rtsp_transport
- tcp
- -stimeout
- '5000000'
- -use_wallclock_as_timestamps
- '1'
```

View File

@@ -3,50 +3,22 @@ id: detectors
title: Detectors
---
Frigate provides the following builtin detector types: `cpu`, `edgetpu`, `openvino`, and `tensorrt`. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
The default config will look for a USB Coral device. If you do not have a Coral, you will need to configure a CPU detector. If you have PCI or multiple Coral devices, you need to configure your detector devices in the config file. When using multiple detectors, they run in dedicated processes, but pull from a common queue of requested detections across all cameras.
## CPU Detector (not recommended)
Frigate supports `edgetpu` and `cpu` as detector types. The device value should be specified according to the [Documentation for the TensorFlow Lite Python API](https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api).
The CPU detector type runs a TensorFlow Lite model utilizing the CPU without hardware acceleration. It is recommended to use a hardware accelerated detector type instead for better performance. To configure a CPU based detector, set the `"type"` attribute to `"cpu"`.
**Note**: There is no support for Nvidia GPUs to perform object detection with tensorflow. It can be used for ffmpeg decoding, but not object detection.
The number of threads used by the interpreter can be specified using the `"num_threads"` attribute, and defaults to `3.`
A TensorFlow Lite model is provided in the container at `/cpu_model.tflite` and is used by this detector type by default. To provide your own model, bind mount the file into the container and provide the path with `model.path`.
```yaml
detectors:
cpu1:
type: cpu
num_threads: 3
model:
path: "/custom_model.tflite"
cpu2:
type: cpu
num_threads: 3
```
When using CPU detectors, you can add one CPU detector per camera. Adding more detectors than the number of cameras should not improve performance.
## Edge-TPU Detector
The EdgeTPU detector type runs a TensorFlow Lite model utilizing the Google Coral delegate for hardware acceleration. To configure an EdgeTPU detector, set the `"type"` attribute to `"edgetpu"`.
The EdgeTPU device can be specified using the `"device"` attribute according to the [Documentation for the TensorFlow Lite Python API](https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api). If not set, the delegate will use the first device it finds.
A TensorFlow Lite model is provided in the container at `/edgetpu_model.tflite` and is used by this detector type by default. To provide your own model, bind mount the file into the container and provide the path with `model.path`.
### Single USB Coral
Single USB Coral:
```yaml
detectors:
coral:
type: edgetpu
device: usb
model:
path: "/custom_model.tflite"
```
### Multiple USB Corals
Multiple USB Corals:
```yaml
detectors:
@@ -58,30 +30,7 @@ detectors:
device: usb:1
```
### Native Coral (Dev Board)
_warning: may have [compatibility issues](https://github.com/blakeblackshear/frigate/issues/1706) after `v0.9.x`_
```yaml
detectors:
coral:
type: edgetpu
device: ""
```
### Multiple PCIE/M.2 Corals
```yaml
detectors:
coral1:
type: edgetpu
device: pci:0
coral2:
type: edgetpu
device: pci:1
```
### Mixing Corals
Mixing Corals:
```yaml
detectors:
@@ -93,143 +42,12 @@ detectors:
device: pci
```
## OpenVINO Detector
The OpenVINO detector type runs an OpenVINO IR model on Intel CPU, GPU and VPU hardware. To configure an OpenVINO detector, set the `"type"` attribute to `"openvino"`.
The OpenVINO device to be used is specified using the `"device"` attribute according to the naming conventions in the [Device Documentation](https://docs.openvino.ai/latest/openvino_docs_OV_UG_Working_with_devices.html). Other supported devices could be `AUTO`, `CPU`, `GPU`, `MYRIAD`, etc. If not specified, the default OpenVINO device will be selected by the `AUTO` plugin.
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.
CPU Detectors (not recommended):
```yaml
detectors:
ov:
type: openvino
device: AUTO
model:
path: /openvino-model/ssdlite_mobilenet_v2.xml
model:
width: 300
height: 300
input_tensor: nhwc
input_pixel_format: bgr
labelmap_path: /openvino-model/coco_91cl_bkgr.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.
```bash
sudo usermod -a -G users "$(whoami)"
cat <<EOF > 97-myriad-usbboot.rules
SUBSYSTEM=="usb", ATTRS{idProduct}=="2485", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"
SUBSYSTEM=="usb", ATTRS{idProduct}=="f63b", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"
EOF
sudo cp 97-myriad-usbboot.rules /etc/udev/rules.d/
sudo udevadm control --reload-rules
sudo udevadm trigger
```
Additionally, the Frigate docker container needs to run with the following configuration:
```bash
--device-cgroup-rule='c 189:\* rmw' -v /dev/bus/usb:/dev/bus/usb
```
or in your compose file:
```yml
device_cgroup_rules:
- "c 189:* rmw"
volumes:
- /dev/bus/usb:/dev/bus/usb
```
## NVidia TensorRT Detector
NVidia GPUs may be used for object detection using the TensorRT libraries. Due to the size of the additional libraries, this detector is only provided in images with the `-tensorrt` tag suffix. This detector is designed to work with Yolo models for object detection.
### Minimum Hardware Support
The TensorRT detector uses the 11.x series of CUDA libraries which have minor version compatibility. The minimum driver version on the host system must be `>=450.80.02`. Also the GPU must support a Compute Capability of `5.0` or greater. This generally correlates to a Maxwell-era GPU or newer, check the NVIDIA GPU Compute Capability table linked below.
> **TODO:** NVidia claims support on compute 3.5 and 3.7, but marks it as deprecated. This would have some, but not all, Kepler GPUs as possibly working. This needs testing before making any claims of support.
To use the TensorRT detector, make sure your host system has the [nvidia-container-runtime](https://docs.docker.com/config/containers/resource_constraints/#access-an-nvidia-gpu) installed to pass through the GPU to the container and the host system has a compatible driver installed for your GPU.
There are improved capabilities in newer GPU architectures that TensorRT can benefit from, such as INT8 operations and Tensor cores. The features compatible with your hardware will be optimized when the model is converted to a trt file. Currently the script provided for generating the model provides a switch to enable/disable FP16 operations. If you wish to use newer features such as INT8 optimization, more work is required.
#### Compatibility References:
[NVIDIA TensorRT Support Matrix](https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-841/support-matrix/index.html)
[NVIDIA CUDA Compatibility](https://docs.nvidia.com/deploy/cuda-compatibility/index.html)
[NVIDIA GPU Compute Capability](https://developer.nvidia.com/cuda-gpus)
### Generate Models
The model used for TensorRT must be preprocessed on the same hardware platform that they will run on. This means that each user must run additional setup to generate a model file for the TensorRT library. A script is provided that will build several common models.
To generate model files, create a new folder to save the models, download the script, and launch a docker container that will run the script.
```bash
mkdir trt-models
wget https://raw.githubusercontent.com/blakeblackshear/frigate/docker/tensorrt_models.sh
chmod +x tensorrt_models.sh
docker run --gpus=all --rm -it -v `pwd`/trt-models:/tensorrt_models -v `pwd`/tensorrt_models.sh:/tensorrt_models.sh nvcr.io/nvidia/tensorrt:22.07-py3 /tensorrt_models.sh
```
The `trt-models` folder can then be mapped into your Frigate container as `trt-models` and the models referenced from the config.
If your GPU does not support FP16 operations, you can pass the environment variable `-e USE_FP16=False` to the `docker run` command to disable it.
Specific models can be selected by passing an environment variable to the `docker run` command. Use the form `-e YOLO_MODELS=yolov4-416,yolov4-tiny-416` to select one or more model names. The models available are shown below.
```
yolov3-288
yolov3-416
yolov3-608
yolov3-spp-288
yolov3-spp-416
yolov3-spp-608
yolov3-tiny-288
yolov3-tiny-416
yolov4-288
yolov4-416
yolov4-608
yolov4-csp-256
yolov4-csp-512
yolov4-p5-448
yolov4-p5-896
yolov4-tiny-288
yolov4-tiny-416
yolov4x-mish-320
yolov4x-mish-640
yolov7-tiny-288
yolov7-tiny-416
```
### Configuration Parameters
The TensorRT detector can be selected by specifying `tensorrt` as the model type. The GPU will need to be passed through to the docker container using the same methods described in the [Hardware Acceleration](hardware_acceleration.md#nvidia-gpu) section. If you pass through multiple GPUs, you can select which GPU is used for a detector with the `device` configuration parameter. The `device` parameter is an integer value of the GPU index, as shown by `nvidia-smi` within the container.
The TensorRT detector uses `.trt` model files that are located in `/trt-models/` by default. These model file path and dimensions used will depend on which model you have generated.
```yaml
detectors:
tensorrt:
type: tensorrt
device: 0 #This is the default, select the first GPU
model:
path: /trt-models/yolov7-tiny-416.trt
input_tensor: nchw
input_pixel_format: rgb
width: 416
height: 416
cpu1:
type: cpu
cpu2:
type: cpu
```

View File

@@ -3,11 +3,7 @@ id: false_positives
title: Reducing false positives
---
Tune your object filters to adjust false positives: `min_area`, `max_area`, `min_ratio`, `max_ratio`, `min_score`, `threshold`.
The `min_area` and `max_area` values are compared against the area (number of pixels) from a given detected object. If the area is outside this range, the object will be ignored as a false positive. This allows objects that must be too small or too large to be ignored.
Similarly, the `min_ratio` and `max_ratio` values are compared against a given detected object's width/height ratio (in pixels). If the ratio is outside this range, the object will be ignored as a false positive. This allows objects that are proportionally too short-and-wide (higher ratio) or too tall-and-narrow (smaller ratio) to be ignored.
Tune your object filters to adjust false positives: `min_area`, `max_area`, `min_score`, `threshold`.
For object filters in your configuration, any single detection below `min_score` will be ignored as a false positive. `threshold` is based on the median of the history of scores (padded to 3 values) for a tracked object. Consider the following frames when `min_score` is set to 0.6 and threshold is set to 0.85:
@@ -20,4 +16,4 @@ For object filters in your configuration, any single detection below `min_score`
| 5 | 0.88 | 0.7, 0.85, 0.95, 0.90, 0.88 | 0.88 | Yes |
| 6 | 0.95 | 0.7, 0.85, 0.95, 0.90, 0.88, 0.95 | 0.89 | Yes |
In frame 2, the score is below the `min_score` value, so Frigate ignores it and it becomes a 0.0. The computed score is the median of the score history (padding to at least 3 values), and only when that computed score crosses the `threshold` is the object marked as a true positive. That happens in frame 4 in the example.
In frame 2, the score is below the `min_score` value, so frigate ignores it and it becomes a 0.0. The computed score is the median of the score history (padding to at least 3 values), and only when that computed score crosses the `threshold` is the object marked as a true positive. That happens in frame 4 in the example.

View File

@@ -1,77 +0,0 @@
---
id: ffmpeg_presets
title: FFmpeg presets
---
Some presets of FFmpeg args are provided by default to make the configuration easier. All presets can be seen in [this file](https://github.com/blakeblackshear/frigate/blob/master/frigate/ffmpeg_presets.py).
### Hwaccel Presets
It is highly recommended to use hwaccel presets in the config. These presets not only replace the longer args, but they also give Frigate hints of what hardware is available and allows Frigate to make other optimizations using the GPU such as when encoding the birdseye restream or when scaling a stream that has a size different than the native stream size.
See [the hwaccel docs](/configuration/hardware_acceleration.md) for more info on how to setup hwaccel for your GPU / iGPU.
| Preset | Usage | Other Notes |
| --------------------- | ---------------------------- | ----------------------------------------------------- |
| preset-rpi-32-h264 | 32 bit Rpi with h264 stream | |
| preset-rpi-64-h264 | 64 bit Rpi with h264 stream | |
| preset-vaapi | Intel & AMD VAAPI | Check hwaccel docs to ensure correct driver is chosen |
| preset-intel-qsv-h264 | Intel QSV with h264 stream | If issues occur recommend using vaapi preset instead |
| preset-intel-qsv-h265 | Intel QSV with h265 stream | If issues occur recommend using vaapi preset instead |
| preset-nvidia-h264 | Nvidia GPU with h264 stream | |
| preset-nvidia-h265 | Nvidia GPU with h265 stream | |
| preset-nvidia-mjpeg | Nvidia GPU with mjpeg stream | Recommend restreaming mjpeg and using nvidia-h264 |
### Input Args Presets
Input args presets help make the config more readable and handle use cases for different types of streams to ensure maximum compatibility.
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 |
:::caution
It is important to be mindful of input args when using restream because you can have a mix of protocols. `http` and `rtmp` presets cannot be used with `rtsp` streams. For example, when using a reolink cam with the rtsp restream as a source for record the preset-http-reolink will cause a crash. In this case presets will need to be set at the stream level. See the example below.
:::
```yaml
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}
input_args: preset-http-reolink
roles:
- detect
- path: rtsp://192.168.0.10:8554/garage
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
Output args presets help make the config more readable and handle use cases for different types of streams to ensure consistent recordings.
| Preset | Usage | Other Notes |
| -------------------------------- | --------------------------------- | --------------------------------------------- |
| preset-record-generic | Record WITHOUT audio | This is the default when nothing is specified |
| preset-record-generic-audio-aac | Record WITH aac audio | Use this to enable audio in recordings |
| preset-record-generic-audio-copy | Record WITH original audio | Use this to enable audio in recordings |
| preset-record-mjpeg | Record an mjpeg stream | Recommend restreaming mjpeg stream instead |
| preset-record-jpeg | Record live jpeg | Recommend restreaming live jpeg instead |
| preset-record-ubiquiti | Record ubiquiti stream with audio | Recordings with ubiquiti non-standard audio |

View File

@@ -1,147 +0,0 @@
---
id: hardware_acceleration
title: Hardware Acceleration
---
It is recommended to update your configuration to enable hardware accelerated decoding in ffmpeg. Depending on your system, these parameters may not be compatible. More information on hardware accelerated decoding for ffmpeg can be found here: https://trac.ffmpeg.org/wiki/HWAccelIntro
### Raspberry Pi 3/4
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.
```yaml
ffmpeg:
hwaccel_args: preset-rpi-64-h264
```
### Intel-based CPUs (<10th Generation) via Quicksync
```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
```yaml
ffmpeg:
hwaccel_args: preset-intel-qsv-h264
```
### AMD/ATI GPUs (Radeon HD 2000 and newer GPUs) via libva-mesa-driver
**Note:** You also need to set `LIBVA_DRIVER_NAME=radeonsi` as an environment variable on the container.
```yaml
ffmpeg:
hwaccel_args: preset-vaapi
```
### NVIDIA GPUs
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.
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
```yaml
services:
frigate:
...
image: ghcr.io/blakeblackshear/frigate:stable
deploy: # <------------- Add this section
resources:
reservations:
devices:
- driver: nvidia
device_ids: ['0'] # this is only needed when using multiple GPUs
count: 1 # number of GPUs
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 the ones your card supports)
```
V..... h263_cuvid Nvidia CUVID H263 decoder (codec h263)
V..... h264_cuvid Nvidia CUVID H264 decoder (codec h264)
V..... hevc_cuvid Nvidia CUVID HEVC decoder (codec hevc)
V..... mjpeg_cuvid Nvidia CUVID MJPEG decoder (codec mjpeg)
V..... mpeg1_cuvid Nvidia CUVID MPEG1VIDEO decoder (codec mpeg1video)
V..... mpeg2_cuvid Nvidia CUVID MPEG2VIDEO decoder (codec mpeg2video)
V..... mpeg4_cuvid Nvidia CUVID MPEG4 decoder (codec mpeg4)
V..... vc1_cuvid Nvidia CUVID VC1 decoder (codec vc1)
V..... vp8_cuvid Nvidia CUVID VP8 decoder (codec vp8)
V..... vp9_cuvid Nvidia CUVID VP9 decoder (codec vp9)
```
For example, for H264 video, you'll select `preset-nvidia-h264`.
```yaml
ffmpeg:
hwaccel_args: preset-nvidia-h264
```
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 `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 455.38 Driver Version: 455.38 CUDA Version: 11.1 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce GTX 166... Off | 00000000:03:00.0 Off | N/A |
| 38% 41C P2 36W / 125W | 2082MiB / 5942MiB | 5% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 12737 C ffmpeg 249MiB |
| 0 N/A N/A 12751 C ffmpeg 249MiB |
| 0 N/A N/A 12772 C ffmpeg 249MiB |
| 0 N/A N/A 12775 C ffmpeg 249MiB |
| 0 N/A N/A 12800 C ffmpeg 249MiB |
| 0 N/A N/A 12811 C ffmpeg 417MiB |
| 0 N/A N/A 12827 C ffmpeg 417MiB |
+-----------------------------------------------------------------------------+
```
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).

View File

@@ -1,13 +1,11 @@
---
id: index
title: Configuration File
title: Configuration
---
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`.
HassOS users can manage their configuration directly in the addon Configuration tab. For other installations, the default location for the config file is `/config/config.yml`. This can be overridden with the `CONFIG_FILE` environment variable. Camera specific ffmpeg parameters are documented [here](/configuration/cameras.md).
For all other installation types, the config file should be mapped to `/config/config.yml` inside the container.
It is recommended to start with a minimal configuration and add to it as described in [this guide](../guides/getting_started.md):
It is recommended to start with a minimal configuration and add to it:
```yaml
mqtt:
@@ -19,195 +17,112 @@ 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
- rtmp
width: 1280
height: 720
fps: 5
```
### VSCode Configuration Schema
## Required
VSCode (and VSCode addon) supports the JSON schemas which will automatically validate the config. This can be added by adding `# yaml-language-server: $schema=http://frigate_host:5000/api/config/schema.json` to the top of the config file. `frigate_host` being the IP address of Frigate or `ccab4aaf-frigate` if running in the addon.
### Full configuration reference:
:::caution
It is not recommended to copy this full configuration file. Only specify values that are different from the defaults. Configuration options and default values may change in future versions.
:::
## `mqtt`
```yaml
mqtt:
# Optional: Enable mqtt server (default: shown below)
enabled: True
# Required: host name
host: mqtt.server.com
# Optional: port (default: shown below)
port: 1883
# Optional: topic prefix (default: shown below)
# NOTE: must be unique if you are running multiple instances
# WARNING: must be unique if you are running multiple instances
topic_prefix: frigate
# Optional: client id (default: shown below)
# NOTE: must be unique if you are running multiple instances
# WARNING: must be unique if you are running multiple instances
client_id: frigate
# Optional: user
# NOTE: MQTT user can be specified with an environment variables that must begin with 'FRIGATE_'.
# e.g. user: '{FRIGATE_MQTT_USER}'
user: mqtt_user
# Optional: password
# NOTE: MQTT password can be specified with an environment variables that must begin with 'FRIGATE_'.
# e.g. password: '{FRIGATE_MQTT_PASSWORD}'
# NOTE: Environment variables that begin with 'FRIGATE_' may be referenced in {}.
# eg. password: '{FRIGATE_MQTT_PASSWORD}'
password: password
# Optional: tls_ca_certs for enabling TLS using self-signed certs (default: None)
tls_ca_certs: /path/to/ca.crt
# Optional: tls_client_cert and tls_client key in order to use self-signed client
# certificates (default: None)
# NOTE: certificate must not be password-protected
# do not set user and password when using a client certificate
tls_client_cert: /path/to/client.crt
tls_client_key: /path/to/client.key
# Optional: tls_insecure (true/false) for enabling TLS verification of
# the server hostname in the server certificate (default: None)
tls_insecure: false
# Optional: interval in seconds for publishing stats (default: shown below)
stats_interval: 60
```
# Optional: Detectors configuration. Defaults to a single CPU detector
detectors:
# Required: name of the detector
detector_name:
# Required: type of the detector
# Frigate provided types include 'cpu', 'edgetpu', and 'openvino' (default: shown below)
# Additional detector types can also be plugged in.
# Detectors may require additional configuration.
# Refer to the Detectors configuration page for more information.
type: cpu
## `cameras`
# Optional: Database configuration
database:
# The path to store the SQLite DB (default: shown below)
path: /media/frigate/frigate.db
Each of your cameras must be configured. The following is the minimum required to register a camera in Frigate. Check the [camera configuration page](cameras) for a complete list of options.
# Optional: model modifications
model:
# Optional: path to the model (default: automatic based on detector)
path: /edgetpu_model.tflite
# Optional: path to the labelmap (default: shown below)
labelmap_path: /labelmap.txt
# Required: Object detection model input width (default: shown below)
width: 320
# Required: Object detection model input height (default: shown below)
height: 320
# Optional: Object detection model input colorspace
# Valid values are rgb, bgr, or yuv. (default: shown below)
input_pixel_format: rgb
# Optional: Object detection model input tensor format
# Valid values are nhwc or nchw (default: shown below)
input_tensor: nhwc
# Optional: Label name modifications. These are merged into the standard labelmap.
labelmap:
2: vehicle
```yaml
cameras:
# Name of your camera
front_door:
ffmpeg:
inputs:
- path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
roles:
- detect
- rtmp
width: 1280
height: 720
fps: 5
```
# Optional: logger verbosity settings
logger:
# Optional: Default log verbosity (default: shown below)
default: info
# Optional: Component specific logger overrides
logs:
frigate.event: debug
## Optional
# Optional: set environment variables
environment_vars:
EXAMPLE_VAR: value
### `clips`
# Optional: birdseye configuration
# NOTE: Can (enabled, mode) be overridden at the camera level
birdseye:
# Optional: Enable birdseye view (default: shown below)
enabled: True
# Optional: Restream birdseye via RTSP (default: shown below)
# NOTE: Enabling this will set birdseye to run 24/7 which may increase CPU usage somewhat.
restream: False
# Optional: Width of the output resolution (default: shown below)
width: 1280
# Optional: Height of the output resolution (default: shown below)
height: 720
# Optional: Encoding quality of the mpeg1 feed (default: shown below)
# 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
quality: 8
# Optional: Mode of the view. Available options are: objects, motion, and continuous
# objects - cameras are included if they have had a tracked object within the last 30 seconds
# motion - cameras are included if motion was detected in the last 30 seconds
# continuous - all cameras are included always
mode: objects
```yaml
clips:
# Optional: Maximum length of time to retain video during long events. (default: shown below)
# NOTE: If an object is being tracked for longer than this amount of time, the cache
# will begin to expire and the resulting clip will be the last x seconds of the event.
max_seconds: 300
# Optional: size of tmpfs mount to create for cache files (default: not set)
# mount -t tmpfs -o size={tmpfs_cache_size} tmpfs /tmp/cache
# Notice: If you have mounted a tmpfs volume through docker, this value should not be set in your config
tmpfs_cache_size: 256m
# Optional: Retention settings for clips (default: shown below)
retain:
# Required: Default retention days (default: shown below)
default: 10
# Optional: Per object retention days
objects:
person: 15
```
# Optional: ffmpeg configuration
# More information about presets at https://docs.frigate.video/configuration/ffmpeg_presets
### `ffmpeg`
```yaml
ffmpeg:
# Optional: global ffmpeg args (default: shown below)
global_args: -hide_banner -loglevel warning
global_args: -hide_banner -loglevel fatal
# Optional: global hwaccel args (default: shown below)
# NOTE: See hardware acceleration docs for your specific device
hwaccel_args: []
# Optional: global input args (default: shown below)
input_args: preset-rtsp-generic
input_args: -avoid_negative_ts make_zero -fflags +genpts+discardcorrupt -rtsp_transport tcp -stimeout 5000000 -use_wallclock_as_timestamps 1
# Optional: global output args
output_args:
# Optional: output args for detect streams (default: shown below)
detect: -f rawvideo -pix_fmt yuv420p
# Optional: output args for record streams (default: shown below)
record: preset-record-generic
record: -f segment -segment_time 60 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy -an
# Optional: output args for clips streams (default: shown below)
clips: -f segment -segment_time 10 -segment_format mp4 -reset_timestamps 1 -strftime 1 -c copy -an
# Optional: output args for rtmp streams (default: shown below)
rtmp: preset-rtmp-generic
rtmp: -c copy -f flv
```
# Optional: Detect configuration
# NOTE: Can be overridden at the camera level
detect:
# Optional: width of the frame for the input with the detect role (default: shown below)
width: 1280
# Optional: height of the frame for the input with the detect role (default: shown below)
height: 720
# Optional: desired fps for your camera for the input with the detect role (default: shown below)
# 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
# Optional: Configuration for stationary object tracking
stationary:
# Optional: Frequency for confirming stationary objects (default: shown below)
# When set to 0, object detection will not confirm stationary objects until movement is detected.
# If set to 10, object detection will run to confirm the object still exists on every 10th frame.
interval: 0
# Optional: Number of frames without a position change for an object to be considered stationary (default: 10x the frame rate or 10s)
threshold: 50
# Optional: Define a maximum number of frames for tracking a stationary object (default: not set, track forever)
# This can help with false positives for objects that should only be stationary for a limited amount of time.
# It can also be used to disable stationary object tracking. For example, you may want to set a value for person, but leave
# car at the default.
# WARNING: Setting these values overrides default behavior and disables stationary object tracking.
# There are very few situations where you would want it disabled. It is NOT recommended to
# copy these values from the example config into your config unless you know they are needed.
max_frames:
# Optional: Default for all object types (default: not set, track forever)
default: 3000
# Optional: Object specific values
objects:
person: 1000
### `objects`
# Optional: Object configuration
# NOTE: Can be overridden at the camera level
Can be overridden at the camera level
```yaml
objects:
# Optional: list of objects to track from labelmap.txt (default: shown below)
track:
- person
# Optional: mask to prevent all object types from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object.
# NOTE: This mask is COMBINED with the object type specific mask below
mask: 0,0,1000,0,1000,200,0,200
# Optional: filters to reduce false positives for specific object types
filters:
person:
@@ -215,281 +130,8 @@ objects:
min_area: 5000
# Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
max_area: 100000
# Optional: minimum width/height of the bounding box for the detected object (default: 0)
min_ratio: 0.5
# Optional: maximum width/height of the bounding box for the detected object (default: 24000000)
max_ratio: 2.0
# Optional: minimum score for the object to initiate tracking (default: shown below)
min_score: 0.5
# Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
threshold: 0.7
# Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object
mask: 0,0,1000,0,1000,200,0,200
# Optional: Motion configuration
# NOTE: Can be overridden at the camera level
motion:
# Optional: The threshold passed to cv2.threshold to determine if a pixel is different enough to be counted as motion. (default: shown below)
# Increasing this value will make motion detection less sensitive and decreasing it will make motion detection more sensitive.
# The value should be between 1 and 255.
threshold: 25
# Optional: Minimum size in pixels in the resized motion image that counts as motion (default: 30)
# Increasing this value will prevent smaller areas of motion from being detected. Decreasing will
# make motion detection more sensitive to smaller moving objects.
# As a rule of thumb:
# - 15 - high sensitivity
# - 30 - medium sensitivity
# - 50 - low sensitivity
contour_area: 30
# Optional: Alpha value passed to cv2.accumulateWeighted when averaging the motion delta across multiple frames (default: shown below)
# Higher values mean the current frame impacts the delta a lot, and a single raindrop may register as motion.
# Too low and a fast moving person wont be detected as motion.
delta_alpha: 0.2
# Optional: Alpha value passed to cv2.accumulateWeighted when averaging frames to determine the background (default: shown below)
# Higher values mean the current frame impacts the average a lot, and a new object will be averaged into the background faster.
# Low values will cause things like moving shadows to be detected as motion for longer.
# https://www.geeksforgeeks.org/background-subtraction-in-an-image-using-concept-of-running-average/
frame_alpha: 0.2
# Optional: Height of the resized motion frame (default: 50)
# This operates as an efficient blur alternative. Higher values will result in more granular motion detection at the expense
# of higher CPU usage. Lower values result in less CPU, but small changes may not register as motion.
frame_height: 50
# Optional: motion mask
# NOTE: see docs for more detailed info on creating masks
mask: 0,900,1080,900,1080,1920,0,1920
# Optional: improve contrast (default: shown below)
# Enables dynamic contrast improvement. This should help improve night detections at the cost of making motion detection more sensitive
# for daytime.
improve_contrast: False
# Optional: Delay when updating camera motion through MQTT from ON -> OFF (default: shown below).
mqtt_off_delay: 30
# Optional: Record configuration
# NOTE: Can be overridden at the camera level
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.
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
expire_interval: 60
# Optional: Retention settings for recording
retain:
# Optional: Number of days to retain recordings regardless of events (default: shown below)
# NOTE: This should be set to 0 and retention should be defined in events section below
# if you only want to retain recordings of events.
days: 0
# Optional: Mode for retention. Available options are: all, motion, and active_objects
# all - save all recording segments regardless of activity
# motion - save all recordings segments with any detected motion
# active_objects - save all recording segments with active/moving objects
# NOTE: this mode only applies when the days setting above is greater than 0
mode: all
# Optional: Event recording settings
events:
# Optional: Number of seconds before the event to include (default: shown below)
pre_capture: 5
# Optional: Number of seconds after the event to include (default: shown below)
post_capture: 5
# Optional: Objects to save recordings for. (default: all tracked objects)
objects:
- person
# Optional: Restrict recordings to objects that entered any of the listed zones (default: no required zones)
required_zones: []
# Optional: Retention settings for recordings of events
retain:
# Required: Default retention days (default: shown below)
default: 10
# Optional: Mode for retention. (default: shown below)
# all - save all recording segments for events regardless of activity
# motion - save all recordings segments for events with any detected motion
# active_objects - save all recording segments for event with active/moving objects
#
# NOTE: If the retain mode for the camera is more restrictive than the mode configured
# here, the segments will already be gone by the time this mode is applied.
# For example, if the camera retain mode is "motion", the segments without motion are
# never stored, so setting the mode to "all" here won't bring them back.
mode: motion
# Optional: Per object retention days
objects:
person: 15
# Optional: Configuration for the jpg snapshots written to the clips directory for each event
# 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
# Optional: print a timestamp on the snapshots (default: shown below)
timestamp: False
# Optional: draw bounding box on the snapshots (default: shown below)
bounding_box: False
# Optional: crop the snapshot (default: shown below)
crop: False
# Optional: height to resize the snapshot to (default: original size)
height: 175
# Optional: Restrict snapshots to objects that entered any of the listed zones (default: no required zones)
required_zones: []
# Optional: Camera override for retention settings (default: global values)
retain:
# Required: Default retention days (default: shown below)
default: 10
# Optional: Per object retention days
objects:
person: 15
# Optional: RTMP configuration
# NOTE: RTMP is deprecated in favor of restream
# NOTE: Can be overridden at the camera level
rtmp:
# Optional: Enable the RTMP stream (default: False)
enabled: False
# Optional: Restream configuration
# Uses https://github.com/AlexxIT/go2rtc (v1.0.1)
go2rtc:
# Optional: jsmpeg stream configuration for WebUI
live:
# Optional: Set the name of the stream that should be used for live view
# in frigate WebUI. (default: name of camera)
stream_name: camera_name
# Optional: Set the height of the jsmpeg stream. (default: 720)
# This must be less than or equal to the height of the detect stream. Lower resolutions
# reduce bandwidth required for viewing the jsmpeg stream. Width is computed to match known aspect ratio.
height: 720
# Optional: Set the encode quality of the jsmpeg stream (default: shown below)
# 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
quality: 8
# Optional: in-feed timestamp style configuration
# NOTE: Can be overridden at the camera level
timestamp_style:
# Optional: Position of the timestamp (default: shown below)
# "tl" (top left), "tr" (top right), "bl" (bottom left), "br" (bottom right)
position: "tl"
# Optional: Format specifier conform to the Python package "datetime" (default: shown below)
# Additional Examples:
# german: "%d.%m.%Y %H:%M:%S"
format: "%m/%d/%Y %H:%M:%S"
# Optional: Color of font
color:
# All Required when color is specified (default: shown below)
red: 255
green: 255
blue: 255
# Optional: Line thickness of font (default: shown below)
thickness: 2
# Optional: Effect of lettering (default: shown below)
# None (No effect),
# "solid" (solid background in inverse color of font)
# "shadow" (shadow for font)
effect: None
# Required
cameras:
# Required: name of the camera
back:
# Optional: Enable/Disable the camera (default: shown below).
# If disabled: config is used but no live stream and no capture etc.
# Events/Recordings are still viewable.
enabled: True
# Required: ffmpeg settings for the camera
ffmpeg:
# Required: A list of input streams for the camera. See documentation for more information.
inputs:
# 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,
# they must also be enabled in the camera config.
roles:
- detect
- restream
- rtmp
# Optional: stream specific global args (default: inherit)
# global_args:
# Optional: stream specific hwaccel args (default: inherit)
# hwaccel_args:
# Optional: stream specific input args (default: inherit)
# input_args:
# Optional: camera specific global args (default: inherit)
# global_args:
# Optional: camera specific hwaccel args (default: inherit)
# hwaccel_args:
# Optional: camera specific input args (default: inherit)
# input_args:
# Optional: camera specific output args (default: inherit)
# output_args:
# Optional: timeout for highest scoring image before allowing it
# to be replaced by a newer image. (default: shown below)
best_image_timeout: 60
# Optional: zones for this camera
zones:
# Required: name of the zone
# NOTE: This must be different than any camera names, but can match with another zone on another
# camera.
front_steps:
# Required: List of x,y coordinates to define the polygon of the zone.
# NOTE: Presence in a zone is evaluated only based on the bottom center of the objects bounding box.
coordinates: 545,1077,747,939,788,805
# Optional: List of objects that can trigger this zone (default: all tracked objects)
objects:
- person
# Optional: Zone level object filters.
# NOTE: The global and camera filters are applied upstream.
filters:
person:
min_area: 5000
max_area: 100000
threshold: 0.7
# Optional: Configuration for the jpg snapshots published via MQTT
mqtt:
# Optional: Enable publishing snapshot via mqtt for camera (default: shown below)
# NOTE: Only applies to publishing image data to MQTT via 'frigate/<camera_name>/<object_name>/snapshot'.
# All other messages will still be published.
enabled: True
# Optional: print a timestamp on the snapshots (default: shown below)
timestamp: True
# Optional: draw bounding box on the snapshots (default: shown below)
bounding_box: True
# Optional: crop the snapshot (default: shown below)
crop: True
# Optional: height to resize the snapshot to (default: shown below)
height: 270
# Optional: jpeg encode quality (default: shown below)
quality: 70
# Optional: Restrict mqtt messages to objects that entered any of the listed zones (default: no required zones)
required_zones: []
# Optional: Configuration for how camera is handled in the GUI.
ui:
# Optional: Adjust sort order of cameras in the UI. Larger numbers come later (default: shown below)
# By default the cameras are sorted alphabetically.
order: 0
# Optional: Whether or not to show the camera in the Frigate UI (default: shown below)
dashboard: True
# Optional
ui:
# Optional: Set the default live mode for cameras in the UI (default: shown below)
live_mode: mse
# 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
# 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
```

View File

@@ -1,104 +0,0 @@
---
id: live
title: Live View
---
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 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 make sure both are enabled.
```yaml
go2rtc:
streams:
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
There may be some cameras that you would prefer to use the sub stream for live view, but the main stream for recording. This can be done via `live -> stream_name`.
```yaml
go2rtc:
streams:
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:
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
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
input_args: preset-rtsp-restream
roles:
- detect
live:
stream_name: test_cam_sub
```
### WebRTC extra configuration:
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, 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:
```yaml title="/config/frigate.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
If you are having difficulties getting WebRTC to work and you are running Frigate with docker, you may want to try changing the container network mode:
- `network: host`, in this mode you don't need to forward any ports. The services inside of the Frigate container will have full access to the network interfaces of your host machine as if they were running natively and not in a container. Any port conflicts will need to be resolved. This network mode is recommended by go2rtc, but we recommend you only use it if necessary.
- `network: bridge` creates a virtual network interface for the container, and the container will have full access to it. You also don't need to forward any ports, however, the IP for accessing Frigate locally will differ from the IP of the host machine. Your router will see Frigate as if it was a new device connected in the network.
:::
See https://github.com/AlexxIT/go2rtc#module-webrtc for more information about this.

View File

@@ -1,77 +0,0 @@
---
id: masks
title: Masks
---
There are two types of masks available:
**Motion masks**: Motion masks are used to prevent unwanted types of motion from triggering detection. Try watching the debug feed with `Motion Boxes` enabled to see what may be regularly detected as motion. For example, you want to mask out your timestamp, the sky, rooftops, etc. Keep in mind that this mask only prevents motion from being detected and does not prevent objects from being detected if object detection was started due to motion in unmasked areas. Motion is also used during object tracking to refine the object detection area in the next frame. Over masking will make it more difficult for objects to be tracked. To see this effect, create a mask, and then watch the video feed with `Motion Boxes` enabled again.
**Object filter masks**: Object filter masks are used to filter out false positives for a given object type based on location. These should be used to filter any areas where it is not possible for an object of that type to be. The bottom center of the detected object's bounding box is evaluated against the mask. If it is in a masked area, it is assumed to be a false positive. For example, you may want to mask out rooftops, walls, the sky, treetops for people. For cars, masking locations other than the street or your driveway will tell Frigate that anything in your yard is a false positive.
To create a poly mask:
1. Visit the Web UI
1. Click the camera you wish to create a mask for
1. Select "Debug" at the top
1. Expand the "Options" below the video feed
1. Click "Mask & Zone creator"
1. Click "Add" on the type of mask or zone you would like to create
1. Click on the camera's latest image to create a masked area. The yaml representation will be updated in real-time
1. When you've finished creating your mask, click "Copy" and paste the contents into your config file and restart Frigate
Example of a finished row corresponding to the below example image:
```yaml
motion:
mask: "0,461,3,0,1919,0,1919,843,1699,492,1344,458,1346,336,973,317,869,375,866,432"
```
Multiple masks can be listed.
```yaml
motion:
mask:
- 458,1346,336,973,317,869,375,866,432
- 0,461,3,0,1919,0,1919,843,1699,492,1344
```
![poly](/img/example-mask-poly-min.png)
### Further Clarification
This is a response to a [question posed on reddit](https://www.reddit.com/r/homeautomation/comments/ppxdve/replacing_my_doorbell_with_a_security_camera_a_6/hd876w4?utm_source=share&utm_medium=web2x&context=3):
It is helpful to understand a bit about how Frigate uses motion detection and object detection together.
First, Frigate uses motion detection as a first line check to see if there is anything happening in the frame worth checking with object detection.
Once motion is detected, it tries to group up nearby areas of motion together in hopes of identifying a rectangle in the image that will capture the area worth inspecting. These are the red "motion boxes" you see in the debug viewer.
After the area with motion is identified, Frigate creates a "region" (the green boxes in the debug viewer) to run object detection on. The models are trained on square images, so these regions are always squares. It adds a margin around the motion area in hopes of capturing a cropped view of the object moving that fills most of the image passed to object detection, but doesn't cut anything off. It also takes into consideration the location of the bounding box from the previous frame if it is tracking an object.
After object detection runs, if there are detected objects that seem to be cut off, Frigate reframes the region and runs object detection again on the same frame to get a better look.
All of this happens for each area of motion and tracked object.
> Are you simply saying that INITIAL triggering of any kind of detection will only happen in un-masked areas, but that once this triggering happens, the masks become irrelevant and object detection takes precedence?
Essentially, yes. I wouldn't describe it as object detection taking precedence though. The motion masks just prevent those areas from being counted as motion. Those masks do not modify the regions passed to object detection in any way, so you can absolutely detect objects in areas masked for motion.
> If so, this is completely expected and intuitive behavior for me. Because obviously if a "foot" starts motion detection the camera should be able to check if it's an entire person before it fully crosses into the zone. The docs imply this is the behavior, so I also don't understand why this would be detrimental to object detection on the whole.
When just a foot is triggering motion, Frigate will zoom in and look only at the foot. If that even qualifies as a person, it will determine the object is being cut off and look again and again until it zooms back out enough to find the whole person.
It is also detrimental to how Frigate tracks a moving object. Motion nearby the bounding box from the previous frame is used to intelligently determine where the region should be in the next frame. With too much masking, tracking is hampered and if an object walks from an unmasked area into a fully masked area, they essentially disappear and will be picked up as a "new" object if they leave the masked area. This is important because Frigate uses the history of scores while tracking an object to determine if it is a false positive or not. It takes a minimum of 3 frames for Frigate to determine is the object type it thinks it is, and the median score must be greater than the threshold. If a person meets this threshold while on the sidewalk before they walk into your stoop, you will get an alert the instant they step a single foot into a zone.
> I thought the main point of this feature was to cut down on CPU use when motion is happening in unnecessary areas.
It is, but the definition of "unnecessary" varies. I want to ignore areas of motion that I know are definitely not being triggered by objects of interest. Timestamps, trees, sky, rooftops. I don't want to ignore motion from objects that I want to track and know where they go.
> For me, giving my masks ANY padding results in a lot of people detection I'm not interested in. I live in the city and catch a lot of the sidewalk on my camera. People walk by my front door all the time and the margin between the sidewalk and actually walking onto my stoop is very thin, so I basically have everything but the exact contours of my stoop masked out. This results in very tidy detections but this info keeps throwing me off. Am I just overthinking it?
This is what `required_zones` are for. You should define a zone (remember this is evaluated based on the bottom center of the bounding box) and make it required to save snapshots and clips (now events in 0.9.0). You can also use this in your conditions for a notification.
> Maybe my specific situation just warrants this. I've just been having a hard time understanding the relevance of this information - it seems to be that it's exactly what would be expected when "masking out" an area of ANY image.
That may be the case for you. Frigate will definitely work harder tracking people on the sidewalk to make sure it doesn't miss anyone who steps foot on your stoop. The trade off with the way you have it now is slower recognition of objects and potential misses. That may be acceptable based on your needs. Also, if your resolution is low enough on the detect stream, your regions may already be so big that they grab the entire object anyway.

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