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Update app.py
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app.py
CHANGED
@@ -52,24 +52,25 @@ def predict(img):
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# define colors for each body part
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body_part_colors = {
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"nose": (255,
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"left_eye": (
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"right_eye": (
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"left_ear": (255,
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"right_ear": (
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"left_shoulder": (
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"right_shoulder": (
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"left_elbow": (0, 128,
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"right_elbow": (
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"left_wrist": (
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"right_wrist": (0, 0,
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"left_hip": (
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"right_hip": (0,
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"left_knee": (128, 0
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"right_knee": (
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"left_ankle": (0,
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"right_ankle": (
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}
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# create a black image of the same size as the original image
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black_img = np.zeros((width, height, 3), np.uint8)
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@@ -79,18 +80,18 @@ def predict(img):
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keypoints = person['keypoints']
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# draw lines between keypoints to form a skeleton
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skeleton = [("nose", "left_eye"), ("left_eye", "left_ear"), ("nose", "right_eye"), ("right_eye", "right_ear"),
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("left_shoulder", "right_shoulder"), ("left_shoulder", "left_elbow"), ("right_shoulder", "right_elbow"),
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("left_elbow", "left_wrist"), ("right_elbow", "right_wrist"), ("left_shoulder", "left_hip"),
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("right_shoulder", "right_hip"), ("left_hip", "right_hip"), ("left_hip", "left_knee"),
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("right_hip", "right_knee"), ("left_knee", "left_ankle"), ("right_knee", "right_ankle")]
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for start_part, end_part in skeleton:
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start_idx = list(body_part_colors.keys()).index(start_part)
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end_idx = list(body_part_colors.keys()).index(end_part)
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if keypoints[start_idx][2] > 0.1 and keypoints[end_idx][2] > 0.1:
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pt1 = (int(keypoints[start_idx][0]), int(keypoints[start_idx][1]))
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pt2 = (int(keypoints[end_idx][0]), int(keypoints[end_idx][1]))
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cv2.line(black_img, pt1, pt2,
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# draw circles at each keypoint
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for i in range(keypoints.shape[0]):
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# define colors for each body part
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body_part_colors = {
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"nose": (255, 165, 0),
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"left_eye": (255, 165, 0),
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"right_eye": (255, 165, 0),
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"left_ear": (255, 165, 0),
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"right_ear": (255, 165, 0),
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"left_shoulder": (0, 128, 0),
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"right_shoulder": (0, 0, 255),
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"left_elbow": (0, 128, 0),
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"right_elbow": (0, 0, 255),
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"left_wrist": (0, 128, 0),
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"right_wrist": (0, 0, 255),
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"left_hip": (0, 128, 0),
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"right_hip": (0, 0, 255),
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"left_knee": (0, 128, 0),
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"right_knee": (0, 0, 255),
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"left_ankle": (0, 128, 0),
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"right_ankle": (0, 0, 255)
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}
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# create a black image of the same size as the original image
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black_img = np.zeros((width, height, 3), np.uint8)
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keypoints = person['keypoints']
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# draw lines between keypoints to form a skeleton
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skeleton = [("right_eye", "left_eye", (255, 165, 0)),("nose", "left_eye", (255, 165, 0)), ("left_eye", "left_ear", (255, 165, 0)), ("nose", "right_eye", (255, 165, 0)), ("right_eye", "right_ear", (255, 165, 0)),
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("left_shoulder", "left_ear", (255, 165, 0)),("right_shoulder", "right_ear", (255, 165, 0)), ("left_shoulder", "right_shoulder", (255, 165, 0)), ("left_shoulder", "left_elbow", (0, 128, 0)), ("right_shoulder", "right_elbow",(0, 0, 255)),
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("left_elbow", "left_wrist",(0, 128, 0), ("right_elbow", "right_wrist",(0, 0, 255)), ("left_shoulder", "left_hip",(255, 165, 0)),
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("right_shoulder", "right_hip", (255, 165, 0)), ("left_hip", "right_hip", (255, 165, 0)), ("left_hip", "left_knee",(0, 128, 0)),
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("right_hip", "right_knee",(0, 0, 255)), ("left_knee", "left_ankle",(0, 128, 0)), ("right_knee", "right_ankle",(0, 0, 255))]
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for start_part, end_part, color in skeleton:
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start_idx = list(body_part_colors.keys()).index(start_part)
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end_idx = list(body_part_colors.keys()).index(end_part)
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if keypoints[start_idx][2] > 0.1 and keypoints[end_idx][2] > 0.1:
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pt1 = (int(keypoints[start_idx][0]), int(keypoints[start_idx][1]))
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pt2 = (int(keypoints[end_idx][0]), int(keypoints[end_idx][1]))
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cv2.line(black_img, pt1, pt2, color, thickness=2, lineType=cv2.LINE_AA)
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# draw circles at each keypoint
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for i in range(keypoints.shape[0]):
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