FROM pytorch/pytorch:1.13.1-cuda11.6-cudnn8-devel # Arguments to build Docker Image using CUDA ARG USE_CUDA=0 ARG TORCH_ARCH= ENV AM_I_DOCKER True ENV BUILD_WITH_CUDA "${USE_CUDA}" ENV TORCH_CUDA_ARCH_LIST "${TORCH_ARCH}" ENV CUDA_HOME /usr/local/cuda-11.6/ RUN mkdir -p /home/appuser/Grounded-Segment-Anything COPY . /home/appuser/Grounded-Segment-Anything/ RUN apt-get update && apt-get install --no-install-recommends wget ffmpeg=7:* \ libsm6=2:* libxext6=2:* git=1:* nano=2.* \ vim=2:* -y \ && apt-get clean && apt-get autoremove && rm -rf /var/lib/apt/lists/* WORKDIR /home/appuser/Grounded-Segment-Anything RUN python -m pip install --no-cache-dir -e segment_anything # When using build isolation, PyTorch with newer CUDA is installed and can't compile GroundingDINO RUN python -m pip install --no-cache-dir wheel RUN python -m pip install --no-cache-dir --no-build-isolation -e GroundingDINO WORKDIR /home/appuser RUN pip install --no-cache-dir diffusers[torch]==0.15.1 opencv-python==4.7.0.72 \ pycocotools==2.0.6 matplotlib==3.5.3 \ onnxruntime==1.14.1 onnx==1.13.1 ipykernel==6.16.2 scipy gradio openai