Creating a Docker image or Dockerfile from this repo. about marker HOT 8 OPEN

I've got one working here: https://hub.docker.com/r/dibz15/marker_docker

It works, but right now it re-downloads the necessary resources on each run. If someone figures out how to get those to cache, that'd be great! Nevermind, got the HF models cached in the image now!

from marker.

@agarwalshashank95 You can build off of their image, e.g.

FROM dibz15/marker_docker:latest
RUN pip install ray
RUN pip uninstall -y torch torchvision torchaudio
RUN pip3 install torch torchvision
COPY local.env /usr/src/app/marker/marker/local.env
RUN mkdir /.cache && chmod -R 777 /.cache

with local.env in the same directory as

TORCH_DEVICE="cuda"

and

USER_ID=$(id -u)
GROUP_ID=$(id -g)

docker run --shm-size=10.24gb --gpus all -v "$PDF_DIR_SANITIZED":/pdfs --user $USER_ID:$GROUP_ID marker:latest python convert.py /pdfs/ /pdfs/

That said, it be great if there were a repo managed Dockerfile that we could all reference ...

from marker.

Here's the repo that I hosted the Dockerfile. I forgot to set it public.

from marker.

@Dibz15 would it be possible to share the Dockerfile for building it locally. It seems the Convert multiple file script "convert.py" doesn't work, probably because of a missing dependency.

from marker.

I started a repo here that uses @Dibz15 's docker image to generate markdown

from marker.

@robinsonkwame Thanks a ton! Didn't realize I could have used the existing Docker itself and built on top of that. This would work perfectly for my use case.
But yes I agree, there should be an official docker that we can all refer to.

from marker.

Hey, sorry I lost track of this. I didn't plan to run mine on a system with CUDA supported, so I didn't even think about that, sorry. Looks like it's been taken care of, though.

from marker.

how do I add fast api to this app?

from marker.