devinzhang91/immch_rknn

immch machine learning with rockchip NPU (rknpu) model, with rknn format.
modify your docker-compose file:

immich-machine-learning:
    container_name: immich_machine_learning
    # For hardware acceleration, add one of -[armnn, cuda, openvino, rknn] to the image tag.
    # Example tag: ${IMMICH_VERSION:-release}-cuda
    image: registry.cn-hangzhou.aliyuncs.com/devinzhang91/immich-machine-learning:rknn-toolkit-lite2-rknn
    extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
      file: hwaccel.ml.yml
      service: rknn # set to one of [armnn, cuda, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable
    volumes:
      - cache-{YOUR_PLATFORM}:/cache

OR

docker run -v cache-{YOUR_PLATFORM}:/cache ... 

• github: here
  

immich-rknn docker images (ARC):

docker pull registry.cn-hangzhou.aliyuncs.com/devinzhang91/immich-machine-learning:rknn-toolkit-lite2-rknn

docker pull registry.cn-hangzhou.aliyuncs.com/devinzhang91/immich-server:rknn-toolkit-lite2-rknn