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Commit History
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Wire integrated dashboard renderer (src/integrated_report.py)
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Wire integrated dashboard renderer (pipeline.py)
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Add integrated DFU dashboard + Fitzpatrick adjustment (English UI)
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revert: remove post-processing, use raw model output — works best for majority of images
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fix: iterative necrotic recovery (3x30px) — bridges gap to necrotic toes
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feat: necrotic tissue recovery — dark regions adjacent to foot reclassified as ulcer
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fix: shadow filtering + adaptive ITA trimming + increased periulcer dilation (60px) — reduces Fitzpatrick overestimation
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fix: preserve dark necrotic tissue connected to foot, only remove isolated dark blobs
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feat: postprocess segmentation — largest component + dark pixel exclusion + morphological cleanup
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feat: lighting quality assessment for Fitzpatrick estimation
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feat: lighting quality assessment for Fitzpatrick estimation
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fix: use CPU-only PyTorch for faster build on cpu-basic
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fix: update README to trigger clean rebuild
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feat: PDF report + guided camera capture with foot silhouette
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feat: PDF report + guided camera capture with foot silhouette
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feat: add downloadable clinical report (PNG 300 DPI + JSON)
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feat: add downloadable clinical report (PNG 300 DPI + JSON)
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feat: upgrade pipeline UI — binary seg + multiclass + PWAT raw vs adjusted
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feat: upgrade pipeline UI — binary seg + multiclass + PWAT raw vs adjusted
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Update README.md
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Fix: load 30 selected features from JSON instead of guessing from model
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Add selected feature columns (30 of 63 after correlation filter)
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Fix: extract feature names from XGBoost model to match training feature selection (30 vs 63)
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Fix: lazy loading, disable TTA on CPU, error handling, remove double inference
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Fix README with Gradio SDK metadata
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Add WoundNetB7 segmentation checkpoint (311MB)
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Add pipeline code, PWAT models, and Gradio app
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initial commit
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