initial commit

Dockerfile

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+# Use an official Python runtime as a parent image
+FROM python:3.12.3
+
+# Set up a new user named "user" with user ID 1000, Essential 
+RUN useradd -m -u 1000 user
+
+# Switch to the "user" user
+USER user
+
+# Set home to the user's home directory
+ENV HOME=/home/user \
+	PATH=/home/user/.local/bin:$PATH
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Try and run pip command after setting the user with `USER user` to avoid permission issues with Python
+RUN pip install --no-cache-dir --upgrade pip
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+# Install any needed packages specified in requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Download the weights for streamlit app for inference from github
+RUN wget https://github.com/meghakalia/depthEstimationColonoscopy/releases/download/0.0.1/depth.pth
+RUN wget https://github.com/meghakalia/depthEstimationColonoscopy/releases/download/0.0.1/encoder.pth
+RUN wget https://github.com/meghakalia/depthEstimationColonoscopy/releases/download/0.0.1/pose.pth
+RUN wget https://github.com/meghakalia/depthEstimationColonoscopy/releases/download/0.0.1/pose_encoder.pth
+
+# Create the .streamlit directory
+RUN mkdir -p .streamlit
+
+# Create the config.toml file and set the maxMessageSize, to display large data in the browser
+# RUN echo "\
+# [server]\n\
+# maxMessageSize = 2000\n\
+# " > .streamlit/config.toml
+
+# Important: Make port 8501 available to the world outside this container
+EXPOSE 8501
+
+# Run filter_data_app.py when the container launches
+CMD streamlit run depth_app.py