fix: remove aggressive LFS patterns, keep only L2CS weights as LFS

Small checkpoints (mlp_best.pt, scaler_mlp.joblib, etc.) were
being stored as LFS pointers which broke model loading on HF Spaces.
Only the 91 MB L2CSNet_gaze360.pkl needs LFS. Added build-time
checkpoint verification to catch this earlier.

.gitattributes

@@ -1,8 +1,8 @@
 checkpoints/L2CSNet_gaze360.pkl filter=lfs diff=lfs merge=lfs -text
-models/cnn/CNN_MODEL/weights/yolo11s-cls.pt filter=lfs diff=lfs merge=lfs -text
+models/L2CS-Net/models/L2CSNet_gaze360.pkl filter=lfs diff=lfs merge=lfs -text
 *.npz filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
 *.joblib filter=lfs diff=lfs merge=lfs -text
 *.db filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -21,6 +21,27 @@ RUN pip install --no-cache-dir -r requirements.txt
 
 COPY . .
 
+RUN python -c "\
+import os, sys;\
+checks = [\
+  ('checkpoints/mlp_best.pt', 1000),\
+  ('checkpoints/scaler_mlp.joblib', 100),\
+  ('checkpoints/xgboost_face_orientation_best.json', 1000),\
+  ('checkpoints/hybrid_focus_config.json', 50),\
+];\
+ok = True;\
+for path, min_bytes in checks:\
+  if not os.path.isfile(path):\
+    print(f'[MISSING] {path}'); ok = False\
+  elif os.path.getsize(path) < min_bytes:\
+    print(f'[BAD] {path} only {os.path.getsize(path)}B — likely LFS pointer'); ok = False\
+  else:\
+    print(f'[OK] {path} ({os.path.getsize(path)} bytes)');\
+if not ok:\
+  print('Checkpoint verification failed'); sys.exit(1);\
+print('All checkpoints verified')\
+"
+
 RUN npm install && npm run build && mkdir -p /app/static && cp -R dist/* /app/static/
 
 ENV FOCUSGUARD_CACHE_DIR=/app/.cache/focusguard