omniparser-fast / Dockerfile
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# Base: nvidia/cuda:12.3.1-devel-ubuntu22.04
FROM nvidia/cuda:12.3.1-devel-ubuntu22.04
# Install system dependencies with explicit OpenGL libraries
RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y \
git-lfs \
wget \
libgl1 \
libglib2.0-0 \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/* \
&& git lfs install
# Install Miniconda for Python 3.12
RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh && \
bash miniconda.sh -b -p /opt/conda && \
rm miniconda.sh
ENV PATH="/opt/conda/bin:$PATH"
# Create and activate Conda environment with Python 3.12, and set it as the default
RUN conda create -n omni python=3.12 && \
echo "source activate omni" > ~/.bashrc
ENV CONDA_DEFAULT_ENV=omni
ENV PATH="/opt/conda/envs/omni/bin:$PATH"
# Set a writable directory for EasyOCR
ENV HOME=/usr/src/app
# Set the working directory in the container
WORKDIR /usr/src/app
RUN chown -R 1000:1000 /usr/src/app
# Create EasyOCR writable directory
RUN mkdir -p /usr/src/app/.EasyOCR && chown -R 1000:1000 /usr/src/app/.EasyOCR
# Copy project files and requirements
COPY . .
COPY requirements.txt /usr/src/app/requirements.txt
# Initialize Git LFS and pull LFS files
# RUN git lfs install && \
# git lfs pull
# Install dependencies from requirements.txt with specific opencv-python-headless version
RUN . /opt/conda/etc/profile.d/conda.sh && conda activate omni && \
pip uninstall -y opencv-python opencv-python-headless && \
pip install --no-cache-dir opencv-python-headless==4.8.1.78 && \
pip install -r requirements.txt && \
pip install huggingface_hub
# # Run download.py to fetch model weights and convert safetensors to .pt format
# RUN . /opt/conda/etc/profile.d/conda.sh && conda activate omni && \
# python download.py && \
# echo "Contents of weights directory:" && \
# ls -lR weights && \
# python weights/convert_safetensor_to_pt.py
# Expose the port for the FastAPI app
EXPOSE 7860
# Set the entry point for the FastAPI app
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]