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def video_parser(video_name = "videos/{}".format("vid1.mp4")): | |
video_capture = cv2.VideoCapture(video_name) | |
OFFSET = 50 | |
OFFSET_TOP = 100 | |
QUALITY = 0.25 | |
CLASSES = { | |
"lannister": ['tyrion', 'cersei', 'jaime', 'joffery', 'myrcella', 'tommen', 'tywin'], | |
#----------------------- | |
"stark": ['arya', 'brandon', 'eddard', 'robb', 'sansa'] | |
} | |
known_face_encodings = [] | |
# [2] ADD THAT NAME HERE ALSO | |
known_face_names = [ | |
"tyrion", | |
'cersei', | |
'jaime', | |
'joffery', | |
'myrcella', | |
'tommen', | |
'tywin', | |
"arya", | |
'arya', | |
'brandon', | |
'eddard', | |
'robb', | |
'sansa' | |
] | |
# [3] ADD IMAGE WITH NAME.JPG FORMAT TO FACES/ FOLDER | |
# mapping | |
for name in known_face_names: | |
temp_image = face_recognition.load_image_file("faces/{}.jpg".format(name)) | |
temp_encoding = face_recognition.face_encodings(temp_image)[0] | |
known_face_encodings.append(temp_encoding) | |
# Initialize some variables | |
face_locations = [] | |
face_encodings = [] | |
face_names = [] | |
process_this_frame = True | |
COUNT = 0 | |
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