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Update Dockerfile

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  1. Dockerfile +6 -6
Dockerfile CHANGED
@@ -1,10 +1,6 @@
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  # Use the pre-built PyTorch Docker image with CUDA
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  FROM pytorch/pytorch:2.1.2-cuda11.8-cudnn8-devel
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- # Set up environment variables
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- # ENV CONDA_DIR=/opt/conda
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- # ENV PATH=$CONDA_DIR/bin:$PATH
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-
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  # Install build deps
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  RUN apt-get update -y && apt-get install -y wget git vim \
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  && apt-get clean && rm -f /var/lib/apt/lists/*_*
@@ -19,9 +15,13 @@ RUN git clone --recursive https://github.com/NVlabs/InstantSplat.git && \
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  # wget https://download.europe.naverlabs.com/ComputerVision/DUSt3R/DUSt3R_ViTLarge_BaseDecoder_512_dpt.pth -P checkpoints/ && \
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  # cd ../../
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  # Create the conda environment and install dependencies
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- RUN conda create -n instantsplat python=3.11 cmake=3.14.0 && \
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- conda activate instantsplat && \
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  conda install pytorch torchvision pytorch-cuda=12.1 -c pytorch -c nvidia -y && \
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  cd InstantSplat && \
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  pip install -r requirements.txt && \
 
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  # Use the pre-built PyTorch Docker image with CUDA
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  FROM pytorch/pytorch:2.1.2-cuda11.8-cudnn8-devel
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  # Install build deps
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  RUN apt-get update -y && apt-get install -y wget git vim \
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  && apt-get clean && rm -f /var/lib/apt/lists/*_*
 
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  # wget https://download.europe.naverlabs.com/ComputerVision/DUSt3R/DUSt3R_ViTLarge_BaseDecoder_512_dpt.pth -P checkpoints/ && \
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  # cd ../../
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+ # Set up environment variables
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+ ENV CONDA_DIR=/opt/conda
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+ ENV PATH=$CONDA_DIR/bin:$PATH
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+
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  # Create the conda environment and install dependencies
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+ RUN conda create -n instantsplat python=3.11 cmake=3.14.0
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+ RUN conda activate instantsplat && \
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  conda install pytorch torchvision pytorch-cuda=12.1 -c pytorch -c nvidia -y && \
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  cd InstantSplat && \
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  pip install -r requirements.txt && \