devinzhang91/immch_rknn
By devinzhang91 · ↓ 0 · ♥ 0 · Updated 2025-02-08
What's in this repo
This page lists the files in devinzhang91/immch_rknn, including model.onnx and more.
- 12 ONNX models (.onnx files)
- 80 files, including 21 .armnn, 18 .json, 12 .onnx, 12 .rknn, 7 .md, 3 .txt
- Last updated 2025-02-08
ONNX files
| File | Size | Download |
|---|---|---|
| cache-rk3566/clip/ViT-B-32__openai/textual/model.onnx | — | Download |
| cache-rk3566/clip/ViT-B-32__openai/visual/model.onnx | — | Download |
| cache-rk3566/facial-recognition/buffalo_l/detection/model.onnx | — | Download |
| cache-rk3566/facial-recognition/buffalo_l/recognition/model.onnx | — | Download |
| cache-rk3568/clip/ViT-B-32__openai/textual/model.onnx | — | Download |
| cache-rk3568/clip/ViT-B-32__openai/visual/model.onnx | — | Download |
| cache-rk3568/facial-recognition/buffalo_l/detection/model.onnx | — | Download |
| cache-rk3568/facial-recognition/buffalo_l/recognition/model.onnx | — | Download |
| cache-rk3588/clip/ViT-B-32__openai/textual/model.onnx | — | Download |
| cache-rk3588/clip/ViT-B-32__openai/visual/model.onnx | — | Download |
Showing 10 of 12 .onnx files — see the full file list on the right.
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
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
Model info
Created: 2025-02-07
Updated: 2025-02-08
View on Hugging FaceFiles (80)
Related models
More from devinzhang91
No other models by this author.
More models
No task type declared.