Add Deepstack/CodeProject-AI.Server detector plugin #6143

skrashevich · 2023-04-18T16:45:13Z

example configuration:

deepstack:
  api_url: http:https://192.168.88.50:5500/v1/vision/detection
  type: deepstack
  api_timeout: 0.1

docker container for test: skrashevich/frigate:deepstack

… API key

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NickM-27 · 2023-04-18T16:55:20Z

What kinds of inference times are you seeing?

skrashevich · 2023-04-18T17:08:32Z

6 cameras, each on 10fps. frigate and ai.server on different physical machines:

NickM-27 · 2023-04-18T17:10:03Z

thanks, and what is the deepstack server using to run the inferences (CPU, gpu, etc?)

skrashevich · 2023-04-18T17:16:10Z

CodeProject Ai.Server 2.1.1, YOLOv5 6.2 Large model, half-precision. GPU NVIDIA GeForce GTX 1070

hawkeye217 · 2023-04-22T02:19:40Z

I've been seeing some hype around the interwebs lately about CodeProject AI, so I wanted to experiment with some of the custom models they've trained ("ipcam-dark" specifically). I tested this PR by quickly spinning up CodeProject AI via docker-compose:

  codeprojectai:
    container_name: codeprojectai
    image: codeproject/ai-server:2.1.3
    ports:
      - 32168:32168
    restart: always
    volumes:
      - /home/myuser/docker/codeprojectai/etc:/etc/codeproject/ai
      - /home/myuser/docker/codeprojectai/modules:/app/modules

config.yml:

detectors:
  deepstack:
    api_url: http:https://192.168.1.4:32168/v1/vision/custom/ipcam-dark
    type: deepstack
    api_timeout: 1

The particular ipcam-dark model returns a label with a capital first letter, so that threw off Frigate. A quick hack on line 78 of this PR fixed it:

int(self.get_label_index(detection["label"].lower()))

Additionally, the default YOLOv5 model in CodeProject seemed to return labels that weren't in /labelmap.txt - I didn't dig any deeper, but Frigate crashed whenever that happened.

Overall though, I love the flexibility to have various detectors as plugins.

skrashevich · 2023-04-23T13:13:48Z

Additionally, the default YOLOv5 model in CodeProject seemed to return labels that weren't in /labelmap.txt - I didn't dig any deeper, but Frigate crashed whenever that happened.

Please show the logs from the moment the frigate crashes

hawkeye217 · 2023-04-23T13:18:07Z

Additionally, the default YOLOv5 model in CodeProject seemed to return labels that weren't in /labelmap.txt - I didn't dig any deeper, but Frigate crashed whenever that happened.

Please show the logs from the moment the frigate crashes

2023-04-23 08:17:22.489122981    File "/usr/lib/python3.9/multiprocessing/process.py", line 315, in _bootstrap
2023-04-23 08:17:22.489124149      self.run()
2023-04-23 08:17:22.489125520    File "/usr/lib/python3.9/multiprocessing/process.py", line 108, in run
2023-04-23 08:17:22.489126709      self._target(*self._args, **self._kwargs)
2023-04-23 08:17:22.489128057    File "/opt/frigate/frigate/object_detection.py", line 121, in run_detector
2023-04-23 08:17:22.489129311      detections = object_detector.detect_raw(input_frame)
2023-04-23 08:17:22.489130588    File "/opt/frigate/frigate/object_detection.py", line 71, in detect_raw
2023-04-23 08:17:22.489131841      return self.detect_api.detect_raw(tensor_input=tensor_input)
2023-04-23 08:17:22.489133171    File "/opt/frigate/frigate/detectors/plugins/deepstack.py", line 78, in detect_raw
2023-04-23 08:17:22.489134415      int(self.get_label_index(detection["label"])),
2023-04-23 08:17:22.489135776  TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'

hawkeye217 · 2023-04-23T13:45:28Z

So the issue here specifically has to do with the label "truck".

In /labelmap.txt, 7 truck has been renamed to 7 car - this was a decision by the devs a while ago as the default model has a hard time distinguishing between car and truck.

When the CodeProject model returns "truck", this is what causes Frigate to crash.

skrashevich · 2023-04-23T14:25:00Z

Probably fixed

…leshooting

NickM-27 · 2023-04-23T15:39:53Z

Please use black to reformat so check can pass

skrashevich · 2023-04-23T15:59:33Z

Done

Some fixes to use build-in label map instead of custom loader

sstratoti · 2023-04-25T16:48:09Z

Whoa, this would be huge! I currently have deepstack running with a model that I trained for delivery truck logos, and I use this in conjunction with "mail and packages" HACS integration to track when deliveries are outside. Right now this is all through a node-red flow that grabs the snapshot from frigate API and runs it against deepstack's api.

I have a Coral USB that I'm using with Frigate. If deepstack were added as a detector and if I still wanted to use the coral for other objects, would I just set up a second camera with the same restream that uses only the deepstack detector? I wouldn't be recording, just detecting objects and passing along the values back into HA for consumption / sending alerts. I hate porch pirates.

NickM-27 · 2023-04-25T16:49:22Z

@sstratoti Running multiple different detectors is currently not supported

sstratoti · 2023-04-25T16:53:33Z

Hmm, then maybe I could spin up a second Frigate with deepstack as the detector and use it just for detecting objects / logos? Either way, this is an exciting enhancement. Thanks!

hawkeye217 · 2023-04-25T17:17:52Z

Hmm, then maybe I could spin up a second Frigate with deepstack as the detector and use it just for detecting objects / logos? Either way, this is an exciting enhancement. Thanks!

That's probably what you'd have to do at this point, and you'd need to also customize your labelmap based on your model.

skrashevich · 2023-04-26T05:53:01Z

I have a Coral USB that I'm using with Frigate. If deepstack were added as a detector and if I still wanted to use the coral for other objects, would I just set up a second camera with the same restream that uses only the deepstack detector? I wouldn't be recording, just detecting objects and passing along the values back into HA for consumption / sending alerts. I hate porch pirates.

See #6258

blakeblackshear · 2023-04-26T11:19:23Z

This just needs docs updates before it can be merged.

skrashevich · 2023-05-02T19:45:03Z

This just needs docs updates before it can be merged.

Can you help me with docs? I'm not a native english speaker, so my docs will be ugly (or funny :) )

NickM-27 · 2023-05-02T19:49:58Z

I'd say the main section of https://docs.frigate.video/configuration/detectors#openvino-detector would be a good template. Basically you want to have:

# <title>

<brief description of CodeProject.AI and the devices it can be run on. I think it would be important for you to mention it is over the network so inference times won't be as good as a native detector.>

## Setup

<describe where to get codeproject ai, I think full setup instructions are outside the scope of the frigate docs>

<show the frigate config file changes that need to be made>

<describe how to verify it is working>

skrashevich · 2023-05-02T20:00:02Z

Here's the question, describe deepstack or codeproject ai.server in Setup section?

NickM-27 · 2023-05-02T20:02:46Z

Here's the question, describe deepstack or codeproject ai.server in Setup section?

Given that this is directly interfacing with deepstack, it would be deepstack in that case

skrashevich · 2023-05-02T20:05:24Z

Given that this is directly interfacing with deepstack, it would be deepstack in that case

but deepstack and ai.server implements the identical API (ai.server can be used as drop-in replacement of deepstack). Deepstack was the first, but not maintained now, unlike ai.server

NickM-27 · 2023-05-02T20:06:39Z

Given that this is directly interfacing with deepstack, it would be deepstack in that case

but deepstack and ai.server implements the identical API (ai.server can be used as drop-in replacement of deepstack). Deepstack was the first, but not maintained now, unlike ai.server

I see, that makes sense. In that case I would state exactly that, and mainly focus on codeproject ai

skrashevich · 2023-05-02T20:26:24Z

🤷

sstratoti · 2023-05-02T20:27:06Z

Re: deepstack being maintained...

johnolafenwa/DeepStack#182

He posted this 3 months ago. No new commits, but it's not entirely dead yet.

skrashevich · 2023-05-02T20:31:50Z

He posted this 3 months ago. No new commits, but it's not entirely dead yet.

but latest release was more than year ago...
anyway, punks not dead! :)

docs/docs/configuration/detectors.md

Co-authored-by: Nicolas Mowen <[email protected]>

skrashevich · 2023-05-02T22:20:21Z

Perhaps it makes sense to add information that the documentation on codeproject.com is dramatically outdated, and user need to use another port (5000 instead of 32168) to run in the docker container?

NickM-27 · 2023-05-02T22:22:22Z

Interesting, that port worked for me when testing code project ai on my server on the latest version.

hawkeye217 · 2023-05-02T22:22:34Z

Perhaps it makes sense to add information that the documentation on codeproject.com is dramatically outdated, and user need to use another port (5000 instead of 32168) to run in the docker container?

I used those instructions and port 32168 when spinning up my container when testing this PR and didn't have any issues.

skrashevich · 2023-05-02T22:24:29Z

What versions of the container and host OS (windows, linux,mac)?

NickM-27 · 2023-05-02T22:25:51Z

What versions of the container and host OS (windows, linux,mac)?

Linux, pulling the latest codeproject/ai-server:gpu

skrashevich · 2023-05-02T22:27:00Z

Linux, pulling the latest codeproject/ai-server:gpu

the same image on linux for me works on port 5000. can you check this port on you installation? :)

hawkeye217 · 2023-05-02T22:27:31Z

What versions of the container and host OS (windows, linux,mac)?

Similar to Nick, Linux, using codeproject/ai-server, non-gpu though.

My docker-compose was here

skrashevich · 2023-05-02T22:59:49Z

It's a bug in AI.Server. in some cases, related to docker network type (macvlan of ipvlan) it may stops listen on 32168.
need to keep in mind...

kirsch33 · 2023-05-09T20:11:11Z

I've been seeing some hype around the interwebs lately about CodeProject AI, so I wanted to experiment with some of the custom models they've trained ("ipcam-dark" specifically). I tested this PR by quickly spinning up CodeProject AI via docker-compose:
  codeprojectai:
    container_name: codeprojectai
    image: codeproject/ai-server:2.1.3
    ports:
      - 32168:32168
    restart: always
    volumes:
      - /home/myuser/docker/codeprojectai/etc:/etc/codeproject/ai
      - /home/myuser/docker/codeprojectai/modules:/app/modules
config.yml:
detectors:
  deepstack:
    api_url: http:https://192.168.1.4:32168/v1/vision/custom/ipcam-dark
    type: deepstack
    api_timeout: 1
The particular ipcam-dark model returns a label with a capital first letter, so that threw off Frigate. A quick hack on line 78 of this PR fixed it:
int(self.get_label_index(detection["label"].lower()))
Additionally, the default YOLOv5 model in CodeProject seemed to return labels that weren't in /labelmap.txt - I didn't dig any deeper, but Frigate crashed whenever that happened.

Overall though, I love the flexibility to have various detectors as plugins.

did you ever try out the ipcam models from Codeproject? just curious how good they were

hawkeye217 · 2023-05-09T21:34:44Z

did you ever try out the ipcam models from Codeproject? just curious how good they were

No, I never did.

skrashevich · 2023-05-11T08:53:16Z

did you ever try out the ipcam models from Codeproject? just curious how good they were

They work worse than the main.

The best thing you can do: fetch https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5x6.pt, save to /app/preinstalled-modules/ObjectDetectionYolo/custom-models/ipcam-yolov5x6 and use in this detector: api_url: http:https://x.x.x.x:nnnn/v1/vision/custom/ipcam-yolov5x6
Even good within PR #6429

inspired27 · 2023-06-18T01:47:16Z

did you ever try out the ipcam models from Codeproject? just curious how good they were

They work worse than the main.

The best thing you can do: fetch https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5x6.pt, save to /app/preinstalled-modules/ObjectDetectionYolo/custom-models/ipcam-yolov5x6 and use in this detector: api_url: http:https://x.x.x.x:nnnn/v1/vision/custom/ipcam-yolov5x6 Even good within PR #6429

Hi, @skrashevich I want to use the license-plate model in codeproject.ai with the Frigate deepstack detector, I have codeproject.ai server running and detector pointing to the license-plate model as below but it is not detecting. The labels returned I think are Dayplate and Nightplate but I do not know how to make this work with Frigate is there something else I need to update? I am running dev 0.13.0-0996883 in docker. I am new so some simple steps instructions would really help.

detectors:
  deepstack:
    api_url: http:https://192.168.1.xx:32168/v1/vision/custom/license-plate
    type: deepstack
    api_timeout: 1 # seconds

I have tried your suggestion above with yolov5x6.pt and it works fine so I know I have got the connectivity to codeproject.ai server fine but I do not know how to setup for the license-plate model. I am sure it is something simple like add labels or something but I do not know how in docker and would appreciate it if you can tell me how.

Add Deepstack detector plugin with configurable API URL, timeout, and…

445315e

… API key

Update DeepStack plugin to recognize 'truck' as 'car' for label indexing

f02a9d6

Add debug logging to DeepStack plugin for better monitoring and troub…

2794cd0

…leshooting

skrashevich added 2 commits April 23, 2023 18:40

Refactor DeepStack label loading from file to use merged labelmap

1a2f8c5

Black format

aa6d99a

add documentation draft

f7f70ce

skrashevich force-pushed the deepstack-detector branch from dd2e8f2 to f7f70ce Compare May 2, 2023 20:21

fix link to codeproject website

a3af809

NickM-27 requested changes May 2, 2023

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Co-authored-by: Nicolas Mowen <[email protected]>

skrashevich requested a review from NickM-27 May 2, 2023 21:00

NickM-27 approved these changes May 2, 2023

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blakeblackshear merged commit ede1ded into blakeblackshear:dev May 4, 2023

skrashevich deleted the deepstack-detector branch May 4, 2023 23:26

mweinelt mentioned this pull request May 23, 2023

deepstack: pass api key in request #6579

Merged

Add Deepstack/CodeProject-AI.Server detector plugin #6143

Add Deepstack/CodeProject-AI.Server detector plugin #6143

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