mnahkies/recognize-anything-api repository overview

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

Dockerized FastAPI wrapper around the impressive recognize-anything⁠ image recognition models.

⁠Usage

Run the image:

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

Note: this assumes you have the nvidia container runtime⁠ installed, but omitting --gpus all should still work fine running inference on the CPU.

Then make requests using your client of choice, eg:

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:

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.