WIP
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@ -1,6 +1,8 @@
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import cv2
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import cv2
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import tensorflow as tf
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import tensorflow as tf
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import numpy as np
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import numpy as np
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from crop_hands_skeleton import crop_hands
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from cvzone.HandTrackingModule import HandDetector
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class_names = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', 'del', 'nothing', 'space']
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class_names = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', 'del', 'nothing', 'space']
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@ -29,9 +31,10 @@ def segment_video(video, fps=5):
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return result, num
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return result, num
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def save_frames(frames, dir):
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def save_frames(frames, dir):
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detector = HandDetector(maxHands=1, mode=True, detectionCon=0.7, minTrackCon=0.8)
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for i, frame in enumerate(frames):
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for i, frame in enumerate(frames):
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print(i)
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print(i)
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cv2.imwrite(f"{dir}/frame{i}.jpg", frame)
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cv2.imwrite(f"{dir}/frame{i}.jpg", crop_hands(frame, detector))
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def classify(img, model):
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def classify(img, model):
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