Dlib predictor dataset link > https://www.kaggle.com/datasets/sajikim/shape-predictor-68-face-landmarks/data Default dlib shape predictor (which predicts 68 landmark points on face) file link -> https://drive.google.com/file/d/1VccRkDqQM6H9uWAFprow1iMuZy1FHNRH/view?usp=sharing Save all the files in the same folder Run haemorr2.py by typing -> python3 haemorr2.py in the terminal from the same directory that you put all the files in.
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This is an app interface that analyzes user eye states—open or closed—in real-time to gauge drowsiness levels accurately and give out alarm sound when detects drowsiness.
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