Local realtime person detection for RTSP cameras

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793

Very excited about this update, thank you.
My config is set up identically to the new example config (although with different region sizes/locations).
I’m getting objects being detected well outside of the regions (even when there is no partial detection inside a region). I also thought that because I’m overriding the global settings, it would only detect people not cars also?

Is anyone else getting this? Or am I doing something wrong?

Config:

web_port: 5000

mqtt:
  host: redacted     
  topic_prefix: frigate
  user: redacted
  password: redacted

objects:
  track:
    - person
    - car
    - truck
  filters:
    person:
      min_area: 5000
      max_area: 100000
      threshold: 0.5

cameras:
  driveway:
    ffmpeg:
      input: redacted                                                   

    take_frame: 1

    objects:
      track:
        - person
      filters:
        person:
          min_area: 5000
          max_area: 100000
          threshold: 0.5

    regions:
      - size: 300
        x_offset: 75
        y_offset: 145
      - size: 300
        x_offset: 320
        y_offset: 145

image
image1336×1004 472 KB

794

The global config and the camera config are merged. If you don’t want to detect cars or trucks on all cameras, you need to take them out of the global list and only add them to the cameras where you want them.

You are getting detections for objects outside your defined regions because they are being picked up by dynamic regions. When a partial object is detected, a dynamic region is created that is 2x the size of the detected bounding box to try and get a better detection. Imagine a dynamic region that is twice the width and height of the car in your driveway. In this particular example, frigate will have created 6 or more dynamic regions as it tries to track all the detected objects. These are in addition to the 2 regions you have predefined.

The purpose of a region is a bit different now. It is just a way to tell frigate where it should look for objects to track. It is no longer a way to limit where frigate looks. As objects are detected, it is going to follow them and pick up any other objects it finds along the way.

1 Like
795

Several others have asked for this as well. The mjpeg endpoint is intended to be more of a debug tool. The FPS is not displayed on snapshots sent over MQTT. Streaming from that endpoint increases the load and steals CPU time from processing detected objects. What are you using it for?

796

For the reasons I mentioned here, I don’t think the region filters will work because a dynamic region will certainly pick it up anyway. There isn’t a good way to restrict certain parts of a camera to specific objects in this release. Apologies, but it was a necessary side effect of dynamic regions.

797

I plan to create an addon in the future. Are you running on HassOS?

2 Likes
798

Been running 0.4.0-beta since yesterday. Overnight, Docker restarted the container 3 times because of a huge memory leak for some reason - my Home Assistant system monitor graphs show a slow increase over a couple of hours followed by a huge drop (presumably when the Docker daemon restarted the container), and then I see that the container was restarted in the Docker logs. Not sure what happened. I turned on more verbose ffmpeg output and will keep an eye on it. Anything else I can do to debug, @blakeblackshear?

EDIT: I should also note that when I brought up each of the debug mjpeg streams, one of them was not updating, but 3 of them were. Then I checked the camera’s RTSP stream for the non-updating one, and it was streaming fine.

799

Ah ok, got it about the configs merging. I’ve dropped cars and trucks from the global config and that’s now sorted.

So, it seems like I can’t use the regions anymore as a means of only receiving notifications if a person is detected within those regions? Should I use an image mask instead to block out anything other than my driveway?

800

chrome
chrome1080×2340 365 KB

801

There was probably an error that stopped one of the processing threads and a queue filled up. I would be surprised if the issue was in ffmpeg. There should have been an error message in the logs before restart. I would turn off the ffmpeg verbose logs since it will make it harder to see frigate error messages.

802

Using an image mask will work. It applies to all object types.

1 Like
803

Makes sense.

When it restarted several times during the night, the logs showed about 20 of these:

RegionPrepper: frame_time not in frame_cache

And then I also saw a couple of these:

Exception in thread Thread-25:
Traceback (most recent call last):
  File "/usr/lib/python3.5/threading.py", line 914, in _bootstrap_inner
    self.run()
  File "/opt/frigate/frigate/objects.py", line 98, in run
    self.camera.regions_in_process[frame['frame_time']] -= 1
KeyError: 1579146393.14267
804

Yea. That was it. I’m still trying to track down the cause of that error. If you can get to it before a restart next time, let me know what the output of the debug/stats endpoint is.

805

Alright, will do. I’ll keep an eye on it today and again tonight. The memory increase is fairly slow so I should be able to get you the output of the endpoint. It’s currently displaying nothing unusual (zeros for everything and ~1fps per camera), but I’ll keep an eye on it and let you know. Thanks!

806

The mjpeg endpoint is intended to be more of a debug tool. The FPS is not displayed on snapshots sent over MQTT.

This is an excellent point, I withdraw my request! :slight_smile:

807

Can confirm that I’m seeing OOM kills for frigate as well. In my case, dmesg is suggesting that it’s triggered by ffmpeg, and not python,

[Thu Jan 16 16:25:14 2020] ffmpeg invoked oom-killer: gfp_mask=0x500cc2(GFP_HIGHUSER|__GFP_ACCOUNT), order=0, oom_score_adj=985
[Thu Jan 16 16:25:14 2020] CPU: 1 PID: 13306 Comm: ffmpeg Not tainted 5.3.0-26-generic #28-Ubuntu
[Thu Jan 16 16:25:14 2020] Hardware name: HARDKERNEL ODROID-H2/ODROID-H2, BIOS 5.13 05/10/2019

Right before the OOM kill the following errors were logged from frigate:

	2020-01-16 11:25:11	
2020-01-16T16:25:11.588234486Z stderr F KeyError: 1579191911.491942
2020-01-16 11:25:11	
2020-01-16T16:25:11.588221833Z stderr F self.camera.regions_in_process[frame['frame_time']] -= 1
2020-01-16 11:25:11	
2020-01-16T16:25:11.588207951Z stderr F File "/opt/frigate/frigate/objects.py", line 98, in run
2020-01-16 11:25:11	
2020-01-16T16:25:11.588195077Z stderr F self.run()
2020-01-16 11:25:11	
2020-01-16T16:25:11.588181343Z stderr F File "/usr/lib/python3.5/threading.py", line 914, in _bootstrap_inner
2020-01-16 11:25:11	
2020-01-16T16:25:11.588166718Z stderr F Traceback (most recent call last):
2020-01-16 11:25:11	
2020-01-16T16:25:11.588113194Z stderr F Exception in thread Thread-3:

full gist of the surrounding logs can be found here

808

I’ve started with an hassio addon. It was not as complicated as I thought.
There is no need for the priviliged mode, mapping /dev/bus/usb as a device was enough for the container to “see” the coral device
(something like this https://docs.docker.com/compose/compose-file/compose-file-v2/#devices)

A minor change was needed for the config folder. Hassio exposes the HA configuration folder as /config in the container. In my HA config folder I have subfolder frigate so the detect_objects.py had to look for /config/frigate/config.yml

For now the addon is nothing more than two files.
A Dockerfile which uses the image build by blakeblackshear and modifies a file with SED and adds an environment variable FRIGATE_RTSP_PASSWORD

Any thoughts on this ?

1 Like
809

Hi,

Someone have some performance data using frigate+google coral ?

For example, for person detection, how many fps can process a setup with 1080p camera?

Thanks!

810

I really hope privileged mode is no longer required. That would be fantastic. You will also need to pass the devices to enable ffmpeg to use hardware acceleration when decoding (/dev/dri/renderD128) if you want that. Unfortunately, HassOS does not include the kernel flags for hardware accelerated decoding, so it won’t work there. I can update frigate to look for an environment variable that specifies the location of the config file.

811

It depends on a lot of variables, but the Coral can process over 100 300x300 images per second. You could look in at least 10 different locations of a 1080p camera at 10fps.

812

Caught it in process, Blake. Here’s the log and the output of debug/stats:

RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
RegionPrepper: frame_time not in frame_cache
Exception in thread Thread-13:
Traceback (most recent call last):
  File "/usr/lib/python3.5/threading.py", line 914, in _bootstrap_inner
    self.run()
  File "/opt/frigate/frigate/objects.py", line 98, in run
    self.camera.regions_in_process[frame['frame_time']] -= 1
KeyError: 1579200477.432628

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