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Translate UI to French; keep code comments in English
functionNormallyAll user-facing text (tabs, buttons, labels, status messages, chart titles, metrics output) translated to French. Class names updated to Eau/Urbain/Agriculture/Forêt; band descriptions translated; composite preset names translated. Code comments and variable names unchanged.d5fdcdd -
Redesign: five-step pedagogical flow with spectral baseline
functionNormallyStep 1 - Know Your Data: full-scene composite viewer (natural/false/SWIR/single-band) with labelled-pixel markers overlaid, clickable pixel inspection. Step 2 - Spectral Signatures: per-class mean±sigma chart and NDVI/NDWI heatmaps computed from raw (unnormalised) bands for correct ratio semantics. Step 3 - Spectral Baseline: pure-numpy chunked KNN classifier that predicts the full 501x1001 scene from 7-band spectral features alone (no spatial context). Step 4 - Deep Learning: UNet training with side-by-side ground-truth / KNN / UNet patch comparison to make the spatial-context benefit concrete. Step 5 - Experiment Lab: compare up to 3 UNet experiments; max capped at 3. Also fixes natural-colour composite to use H4/H3/H2 (Red/Green/Blue) instead of the previous H3/H2/H1, and adds matplotlib + scipy to requirements.089078d
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Switch to real dataset: 4-class, rasterio patch loader, ignore unlabeled pixels
functionNormally9cb9bec
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Upload 7 files
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Delete visualize.py
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Upload 6 files
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