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MeHuL389/Anti_spoofing_detection
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Make a folder named outs where the detected photos will be saved Usage Example: python liveness_test.py --video_path test_shubham.mp4 --output_folder outs --skip 10 python liveness_test_softmax.py --video_path test_nilesh.mp4 --output_folder outs --skip 10 Reads test_shubham.mp4 by skipping every 10 frames and saving the processed frames in 'outs' folder # set video_path to 0 for using webcam python liveness_test.py --video_path 0 --output_folder outs # set output_path to 0 for displaying frames python liveness_test.py --video_path test.mp4 --output_folder 0 This is just a side branch, main brach includes speech emotion hybrid face anti spoofing recognition, will be adding soon
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