Coral Edgetpu pci with docker on Win10

[TurboTronix]

I tried so many things but can't get Frigate to work with my edgetpu (its plugged to an M2 port on my motherboard). Keep getting:
ERROR : No EdgeTPU was detected. If you do not have a Coral device yet, you must configure CPU detectors.

Here's my docker compose:

services:
  frigate:
    container_name: frigate
    privileged: true # this may not be necessary for all setups
    restart: unless-stopped
    image: blakeblackshear/frigate:stable-aarch64
    shm_size: "768mb"
    devices:
      - /dev/apex_0:/dev/apex_0
    volumes:
      - /etc/localtime:/etc/localtime:ro
      - C:/compose//config/config.yml:/config/config.yml:ro 
      - D:/frigate/clips:/media/frigate/clips
      - D:/frigate/recordings:/media/frigate/recordings
      - type: tmpfs # Optional: 1GB of memory, reduces SSD/SD Card wear
        target: /tmp/cache
        tmpfs:
          size: 1000000000
    ports:
      - "5000:5000"
      - "1935:1935" 
    environment:
      FRIGATE_RTSP_PASSWORD: "password"

I get this:

16 16:08:54] frigate.edgetpu                ERROR   : No EdgeTPU was detected. If you do not have a Coral device yet, you must configure CPU detectors.
Traceback (most recent call last):
  File "/usr/lib/python3/dist-packages/tflite_runtime/interpreter.py", line 160, in load_delegate
    delegate = Delegate(library, options)
  File "/usr/lib/python3/dist-packages/tflite_runtime/interpreter.py", line 119, in __init__
    raise ValueError(capture.message)
ValueError
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
  File "/usr/lib/python3.8/multiprocessing/process.py", line 315, in _bootstrap
    self.run()
  File "/usr/lib/python3.8/multiprocessing/process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "/opt/frigate/frigate/edgetpu.py", line 156, in run_detector
    object_detector = LocalObjectDetector(
  File "/opt/frigate/frigate/edgetpu.py", line 64, in __init__
    edge_tpu_delegate = load_delegate("libedgetpu.so.1.0", device_config)
  File "/usr/lib/python3/dist-packages/tflite_runtime/interpreter.py", line 162, in load_delegate
    raise ValueError('Failed to load delegate from {}\n{}'.format(
ValueError: Failed to load delegate from libedgetpu.so.1.0

[zee-shany]

Hello,
were you able to sort out the error? please share how you solved it?

Thanks

[NickM-27]

Make sure coral drivers are installed

[zee-shany]

Thanks for your swift response, appreciated.

Coral is detected in win10 as seen in device manager.
what would i put in the docker-compose file under devices? please let me know, thanks

version: "3.9"
services:
  frigate:
    container_name: frigate
    privileged: true # this may not be necessary for all setups
    restart: unless-stopped
    image: blakeblackshear/frigate:<specify_version_tag>
    shm_size: "64mb" # update for your cameras based on calculation above
    devices:
      - /dev/bus/usb:/dev/bus/usb # passes the USB Coral, needs to be modified for other versions
      - /dev/apex_0:/dev/apex_0 # passes a PCIe Coral, follow driver instructions here https://coral.ai/docs/m2/get-started/#2a-on-linux

[NickM-27]

According to this it is a bit complicated with windows https://docs.microsoft.com/en-us/virtualization/windowscontainers/deploy-containers/hardware-devices-in-containers

I have no knowledge of windows docker so I can't really help there

[zee-shany]

Yea its clearly not that straight forward and searching around on google confirms that linux os is way easier than win10..
Thanks for your responses :)