You’re welcome to post pictures of you car, garage (with the bounding box), etc on a public forum and I’ll suggest where I’d mask - but I’m not going to be posting mine 
Just a random google image:
this is where I would not like to detect cars but do want to have people, dogs, etc if there are no cars:
Not useful - to mask, you need to know where it is being detected. And that is the bounding box. Mask the bottom centre of wherever it is being detected, to prevent it being detected, without masking the entire area.
If red is the bounding box, green is where you could mask to prevent it being detected - because it covers the bottom centre/middle of the box.
Pretty sure @tmjpugh already answered that in post 4692:
Where ‘mask: 0,0,1000,0,1000,200,0,20’ is your black area - that would prevent cars only being detected in that area.
objects:
track:
- person
- car
- dog
- cat
- bicycle
filters:
car:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.7
mask: 0,0,1000,0,1000,200,0,200
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Anyone using frigate with nginx proxy?
how you do this? (config example)
So I did this and Frigate restarted ok, will let you know if that works (not listing cars anymore on the parking.
schuurachter:
ffmpeg:
inputs:
- path: rtsp://admin:[email protected]:554/Streaming/Channels/101/
roles:
- detect
- clips
# - rtmp
width: 2048
height: 1536
fps: 4
snapshots:
enabled: true
crop: false
bounding_box: True
objects:
track:
- person
- car
- dog
- bicycle
- cat
filters:
car:
min_area: 5000
max_area: 100000
min_score: 0.5
threshold: 0.7
mask:
- '443,106,775,108,679,365,294,371'
- '2048,371,2048,585,1136,401,1090,130'
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: True
# Optional: Number of seconds before the event to include in the clips (default: shown below)
pre_capture: 2
# Optional: Number of seconds after the event to include in the clips (default: shown below)
post_capture: 2
# Optional: Objects to save clips for. (default: all tracked objects)
objects:
- person
- car
- dog
- bicycle
- cat
# Optional: Restrict clips 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: 100
car: 50
dog: 50
cat: 10
bicycle: 50
what are these for:
I cannot find an explanation in the documentation. only this https://blakeblackshear.github.io/frigate/configuration/false_positives/ but that does not explain met the meaning and values of min_area and max_area.
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I highly recommend spending some time reading the documentation start to finish, multiple times, including the commented/hashed lines in the example configuration - just reading, without trying to configure anything, or without skipping back and forth.
min_area and max_area are the area sizes, they’re shown on the bounding box on the snapshots if enabled.
Objects, bottom of the above:
# Optional: minimum width*height of the bounding box for the detected object (default: 0)
# Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
… over and out from me, I need a drink
P.S. You might actually need to at least remove the min_area and/or max_area, depending on the size of the cars being detecting - the numbers on the bounding box snapshots, if enabled, will tell you what the sizes are.
You need to look at a few of the false positives, to work out what the range of sizes are, for example, my car as it enters through the gates is around 10000 (so this is min_area, roughly, if i want it to be detected at that distance)… as it enters the garage and comes closer to the camera it is around 40000, but when parked and as close to the camera as it is going to be it is around 100000.
Naturally the above varies depending on the size of the car, how close the car gets to the camera and/or how far away it can reliably be detected.
Can’t I then better just leave these out?
To start with, probably, yes.
But tuning the min_area and max_areas, for each object, each camera, even separate zones, are a key part of enhancing reliable detection and/or reducing false positives (i.e a person can’t physically be 250000 on some cameras, or zones, so don’t let it think it can be).
But to start with, yes you can probably leave them out… because your need to know the sizes, at the various distances, to configure them properly.
After HA restart it’s working now for telegram & hass app
Seems like reloading the automation wasn’t enough
I thought it was odd when it was still not working even after using nobu casa link
Anyway, it’s just with hass ios notification I’m only getting photos (on hass android I’m getting both video & photos on android)
Does anyone have example on getting video notification with ios hass app?
Here’s the automation config btw
- alias: Notify of events
trigger:
platform: mqtt
topic: frigate/events
action:
- service: notify.telegram
data_template:
message: 'A {{trigger.payload_json["after"]["label"]}} was detected.'
data:
photo:
# this url should work for addon users
- url: 'http://ccab4aaf-frigate:5000/api/events/{{trigger.payload_json["after"]["id"]}}/thumbnail.jpg'
caption: 'A {{trigger.payload_json["after"]["label"]}} was detected on {{ trigger.payload_json["after"]["camera"] }} camera'
- delay:
hours: 0
minutes: 0
seconds: 53
milliseconds: 0
- service: notify.telegram
data_template:
message: Video of alert
data:
video:
- url: 'https://rpixxxxx.duckdns.org:8143/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/{{trigger.payload_json["after"]["camera"]}}/clip.mp4'
timeout: 1000
caption: 'A {{trigger.payload_json["after"]["label"]}} was detected on {{ trigger.payload_json["after"]["camera"] }} camera'
mode: single
#notify hass app
- alias: Notify of events hass
trigger:
platform: mqtt
topic: frigate/events
action:
- service: notify.mobile_app_iphone_keel
data_template:
message: 'A {{trigger.payload_json["after"]["label"]}} was detected.'
data:
image: 'https://rpixxxxx.duckdns.org:8143/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/thumbnail.jpg?format=android'
tag: '{{trigger.payload_json["after"]["id"]}}'
clickAction: https://rpixxxx.duckdns.org:8143/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/snapshot.jpg
group: Test
channel: frigate
color: "#2DF56D"
actions:
- action: URI
title: View Video
uri: https://rpixxxxx.duckdns.org:8143/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/{{trigger.payload_json["after"]["camera"]}}/clip.mp4
- action: URI
title: View Snapshot
uri: https://rpixxxx.duckdns.org:8143/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/snapshot.jpg
I have a Reolink RLC-420-5MP camera and have been trying to get Frigateto work with it for a couple of days now. Initially it seemed to be working fine on the 640x480 sub stream but it quickly became apparent that this was not detailed enough for decent detection so I’ve been attempting to move to the main stream instead but keep running into errors like this:
frigate.video INFO : driveway: ffmpeg sent a broken frame. memoryview assignment: lvalue and rvalue have different structures
frigate.video INFO : driveway: ffmpeg process is not running. exiting capture thread...
ffmpeg.driveway.detect ERROR : av_interleaved_write_frame(): Connection reset by peer
ffmpeg.driveway.detect ERROR : [flv @ 0xaaaae3041cb0] Failed to update header with correct duration.
ffmpeg.driveway.detect ERROR : [flv @ 0xaaaae3041cb0] Failed to update header with correct filesize.
ffmpeg.driveway.detect ERROR : Error writing trailer of rtmp://127.0.0.1/live/driveway: Connection reset by peer
frigate.video INFO : driveway: ffmpeg sent a broken frame. memoryview assignment: lvalue and rvalue have different structures
frigate.video INFO : driveway: ffmpeg process is not running. exiting capture thread...
ffmpeg.driveway.detect ERROR : av_interleaved_write_frame(): Connection reset by peer
ffmpeg.driveway.detect ERROR : [flv @ 0xaaab180047d0] Failed to update header with correct duration.
ffmpeg.driveway.detect ERROR : [flv @ 0xaaab180047d0] Failed to update header with correct filesize.
ffmpeg.driveway.detect ERROR : Error writing trailer of rtmp://127.0.0.1/live/driveway: Connection reset by peer
My configuration is:
mqtt:
host: core-mosquitto
cameras:
driveway:
ffmpeg:
input_args:
- -avoid_negative_ts
- make_zero
- -fflags
- nobuffer
- -flags
- low_delay
- -strict
- experimental
- -fflags
- +genpts+discardcorrupt
- -rw_timeout
- '5000000'
- -use_wallclock_as_timestamps
- '1'
inputs:
- path: rtmp://user:[email protected]/bcs/channel0_main.bcs?token=sdasdasd&channel=0&stream=0&user= user&password=pass
roles:
- detect
- rtmp
- clips
width: 2560
height: 1920
fps: 10
objects:
track:
- person
- car
- cat
- dog
rtmp:
enabled: True
clips:
enabled: True
pre_capture: 5
post_capture: 5
retain:
default: 10
I’m running this on a Home Assistant Blue with a Coral TPU.
Is anyone else successfully using a Reolink camera with Frigate? I’ve been so frustrated with all the little issues that this camera has that I ordered a Dahua IPC-T5442T-ZE last night to replace it as my main camera.
How’s the log output when you’re running the main camera stream with ffprobe?
I can’t figure out how to use ffprobe since my password has an exclamation mark in it and that doesn’t play well with the shell prompt.
Working to try and figure out how to overcome that as I haven’t been able to find a way to escape it.
EDIT: OK… I think I worked it out… Single quotes and double exclamation marks? Still issues though.
fffprobe -show_streams 'rtmp://user:[email protected]/bcs/channel0_sub.bcs?channel=0&stream=0&@192.168.1.143/bcs/channel0_sub.bcs?channel=0&stream=0&user=user&password=pass!!'
ffprobe version 4.4 Copyright (c) 2007-2021 the FFmpeg developers
built with Apple clang version 12.0.0 (clang-1200.0.32.29)
configuration: --prefix=/usr/local/Cellar/ffmpeg/4.4_1 --enable-shared --enable-pthreads --enable-version3 --enable-avresample --cc=clang --host-cflags= --host-ldflags= --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libbluray --enable-libdav1d --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox
libavutil 56. 70.100 / 56. 70.100
libavcodec 58.134.100 / 58.134.100
libavformat 58. 76.100 / 58. 76.100
libavdevice 58. 13.100 / 58. 13.100
libavfilter 7.110.100 / 7.110.100
libavresample 4. 0. 0 / 4. 0. 0
libswscale 5. 9.100 / 5. 9.100
libswresample 3. 9.100 / 3. 9.100
libpostproc 55. 9.100 / 55. 9.100
rtmp://user:[email protected]/bcs/channel0_sub.bcs?channel=0&stream=0&@192.168.1.143/bcs/channel0_sub.bcs?channel=0&stream=0&user=user&password=pass!!: Input/output error
I’m intentionally trying the sub stream first.
With all the errors it manages to get update every 10 seconds or so and display a few frames on the Frigate camera preview page. Certainly not 5fps as it dips whenever the rush of frames gets displayed.
EDIT: Just did a test and at 640x480 it does not detect peopler cars… There’s not enough detail at any distance.
I have been using the sub stream on a RLC-520 for detection. Using the same flags as you.
Might be worth checking the FPS of the substream on the camera, I think I had to adjust that initially.
Working fine on my iphone IOS with your code
I replace the android by ios on your code only, video can be play on my iphone
Do you mind sharing your modification?
I still can’t quite get it to work on my iphone
- alias: Notify of events detection camera
trigger:
platform: mqtt
topic: frigate/events
action:
- service: notify.mobile_app_tonio
data_template:
message: '{{trigger.payload_json["after"]["label"]}} a été détecté.'
data:
image: 'https://xxx.duckdns.org/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/thumbnail.jpg?format=ios'
tag: '{{trigger.payload_json["after"]["id"]}}'
clickAction: https://xxx.duckdns.org/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/snapshot.jpg
group: Test
channel: frigate
color: "#2DF56D"
actions:
- action: URI
title: Voir la Vidéo
uri: https://xxx.duckdns.org/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/{{trigger.payload_json["after"]["camera"]}}/clip.mp4
- action: URI
title: Voir le Snapshot
uri: https://xxx.duckdns.org/api/frigate/notifications/{{trigger.payload_json["after"]["id"]}}/snapshot.jpg
1 Like
Thanks, so the change is just on the image line, will test it out soon