mnahkies/recognize-anything-api

Github: https://github.com/mnahkies/recognize-anything-api

Dockerized FastAPI wrapper around the impressive https://github.com/xinyu1205/recognize-anything image recognition models.

Usage

Run the image:

shell
docker run -it --rm --gpus all -p 8000:8000 mnahkies/recognize-anything-api

Note: this assumes you have the https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html installed, but omitting --gpus all should still work fine running inference on the CPU.

Then make requests using your client of choice, eg:

shell
curl --verbose -F file=@/path/to/image.jpg localhost:8000/

Offline support

All model weights, etc are baked into the docker image rather than fetched at runtime.

This means it's possible to run this image without granting it internet access, and hopefully means it will continue to work in 6 months time. You can verify this by running the image with --net none and using docker exec trying:

shell
curl --verbose -F file=@/opt/app/recognize_anything/images/demo/demo1.jpg localhost:8000/

Caveat, the image is huge (~20gb, of which ~13gb is weights, ~6gb pip dependencies) as a result - though it could probably be slimmed down a bit.