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fix: match integration_test2 Dockerfile and config
k22056537Replicate the working setup from FocusGuard/integration_test2: - Same Dockerfile structure with npm build and model downloads - Same .dockerignore (excludes .git, dev files) - Same .gitattributes (only pkl/npz/joblib as LFS) - Un-LFS .pt files so they're real objects in Docker contextc2bffa9
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Integrate L2CS-Net gaze estimation
Abdelrahman Almatrooshi- Add L2CS-Net in-tree (models/L2CS-Net/) with Gaze360 weights via Git LFS - L2CSPipeline: ResNet50 gaze + MediaPipe head pose, roll de-rotation, cosine scoring - 9-point polynomial gaze calibration with bias correction and IQR outlier filtering - Gaze-eye fusion: calibrated screen coords + EAR for focus detection - L2CS Boost mode: runs gaze alongside any base model (35/65 weight, veto at 0.38) - Calibration UI: fullscreen overlay, auto-advance, progress ring - Frontend: GAZE toggle, Calibrate button, gaze pointer dot on canvas - Bumped capture resolution to 640x480 @ JPEG 0.75 - Dockerfile: added git, CPU-only torch for HF Space deploymente557410
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chore: MLP pipeline, evaluation updates, feature importance, confusion matrices
k220565378b47064 -
chore: integration cleanup — remove eye CNN, add threshold justification, fix pipeline
k220565376114098
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Put all the models together (expect UI)
4a5bfab
