35 lines
1.0 KiB
Docker
35 lines
1.0 KiB
Docker
FROM pytorch/pytorch:2.3.1-cuda12.1-cudnn8-devel
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# Arguments to build Docker Image using CUDA
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ARG USE_CUDA=0
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ARG TORCH_ARCH="7.0;7.5;8.0;8.6"
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ENV AM_I_DOCKER True
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ENV BUILD_WITH_CUDA "${USE_CUDA}"
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ENV TORCH_CUDA_ARCH_LIST="${TORCH_ARCH}"
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ENV CUDA_HOME /usr/local/cuda-12.1/
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# Ensure CUDA is correctly set up
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ENV PATH /usr/local/cuda-12.1/bin:${PATH}
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ENV LD_LIBRARY_PATH /usr/local/cuda-12.1/lib64:${LD_LIBRARY_PATH}
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# Install required packages and specific gcc/g++
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RUN apt-get update && apt-get install --no-install-recommends wget ffmpeg=7:* \
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libsm6=2:* libxext6=2:* git=1:* nano vim=2:* ninja-build gcc-10 g++-10 -y \
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&& apt-get clean && apt-get autoremove && rm -rf /var/lib/apt/lists/*
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ENV CC=gcc-10
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ENV CXX=g++-10
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RUN mkdir -p /home/appuser/Grounded-SAM-2
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COPY . /home/appuser/Grounded-SAM-2/
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WORKDIR /home/appuser/Grounded-SAM-2
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# Install essential Python packages
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RUN python -m pip install --upgrade pip setuptools wheel numpy
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# Install segment_anything package in editable mode
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RUN python -m pip install -e .
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