Updated "CBAM_ResNet50_Cervical_Classification" and made it deployment ready #14
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@HeetDobariya07 is attempting to deploy a commit to the Meet's projects Team on Vercel. A member of the Team first needs to authorize it. |
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Pull request overview
This PR makes a CBAM-ResNet50 cervical cancer cell classification system deployment-ready by adding deployment configuration files, updating dependencies, improving documentation, and adding sample images with the trained model.
Key Changes:
- Added Streamlit Cloud deployment configuration files
- Modernized requirements.txt with flexible version constraints
- Added comprehensive README with deployment instructions
- Added Git LFS support for large model file
- Added sample images for testing
Reviewed changes
Copilot reviewed 9 out of 28 changed files in this pull request and generated 2 comments.
Show a summary per file
| File | Description |
|---|---|
| requirements.txt | Updated dependencies with relaxed version constraints and added missing packages |
| packages.txt | New file with system-level dependencies for deployment |
| README.md | Complete rewrite with deployment focus and quick start guide |
| .streamlit/config.toml | New Streamlit configuration for deployment |
| .gitignore | Added patterns for temporary files and outputs |
| .gitattributes | Added Git LFS configuration for model file |
| .devcontainer/devcontainer.json | Added GitHub Codespaces configuration |
| sample images | Added binary image files for testing |
| best_model.pth | Added trained model with Git LFS |
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| # with col2: | ||
| # st.markdown("#### 🌡️ Activation Heatmap") | ||
| # st.image(heatmap, use_container_width=True) | ||
| # st.caption("Red = High activation, Blue = Low activation") |
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| # with col2: | |
| # st.markdown("#### 🌡️ Activation Heatmap") | |
| # st.image(heatmap, use_container_width=True) | |
| # st.caption("Red = High activation, Blue = Low activation") |
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| class_names = checkpoint['class_names'] | ||
| num_classes = len(class_names) | ||
| class_names = ['Dyskeratotic', 'Koilocytotic', 'Metaplastic', 'Parabasal', 'Superficial-Intermediate'] |
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Variable class_names is not used.
| class_names = ['Dyskeratotic', 'Koilocytotic', 'Metaplastic', 'Parabasal', 'Superficial-Intermediate'] |
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