Upload 2 files
Browse files- Dockerfile +49 -0
- requirements.txt +24 -0
Dockerfile
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# Use an official Python runtime as a parent image
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FROM python:3.10-slim
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# Set the working directory in the container
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WORKDIR /app
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# Install necessary system dependencies
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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unzip \
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git \
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# Add potential ITK/build dependencies (might need adjustment)
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build-essential \
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cmake \
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libgl1 \
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libglib2.0-0 \
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# libitk5-dev # Removed: Rely on pip install of itk-elastix
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&& \
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rm -rf /var/lib/apt/lists/*
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# Copy the requirements file first to leverage Docker cache
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COPY requirements.txt .
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# Install Python packages specified in requirements.txt
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# Using --no-cache-dir can reduce image size
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RUN pip install --no-cache-dir -r requirements.txt
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# --- HD-BET is now copied locally via src/BrainIAC ---
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# Copy the rest of the application code (including local HD_BET)
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COPY src/BrainIAC /app/BrainIAC
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# Copy static files (like images)
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COPY src/BrainIAC/static /app/BrainIAC/static
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# Copy the MNI templates and parameter files
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COPY src/BrainIAC/golden_image /app/BrainIAC/golden_image
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# Copy the HD-BET models
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COPY src/BrainIAC/hdbet_model /app/BrainIAC/hdbet_model
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# Copy the MCI classification model checkpoint
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COPY src/BrainIAC/checkpoints/mci_model.pt /app/BrainIAC/checkpoints/mci_model.pt
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# Make port 7860 available (for Gradio)
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EXPOSE 7860
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# Run app_gradio.py when the container launches using python
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CMD ["python", "/app/BrainIAC/app_gradio.py"]
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requirements.txt
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pytorch-lightning==2.3.3
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monai==1.3.2
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nibabel==5.2.1
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scikit-image==0.21.0
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scikit-learn==1.2.2
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scipy==1.10.1
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seaborn==0.12.2
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numpy==1.23.5
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autograd==1.7.0
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matplotlib==3.7.1
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SimpleITK==2.4.0
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tqdm
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pydicom
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wandb
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lifelines
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torch==2.6.0
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opencv-python
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pandas
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Flask
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gunicorn
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PyYAML
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dicom2nifti
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itk-elastix
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gradio
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