feat(ui): support multi-person skeleton drawing
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@ -12,12 +12,14 @@ from audio_player import AudioPlayer
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from pose_analyzer import PoseSimilarityAnalyzer
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from config import REALSENSE_AVAILABLE
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def draw_skeleton_with_similarity(img, keypoints, scores, joint_similarities=None, openpose_skeleton=True, kpt_thr=0.43, line_width=1):
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def draw_skeleton_with_similarity(img, keypoints, scores, joint_similarities=None, openpose_skeleton=True, kpt_thr=0.43, line_width=2):
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"""
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自定义骨骼绘制函数,根据关节相似度设置颜色
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相似度 > 90: 绿色
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相似度 80-90: 黄色
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相似度 < 80: 红色
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支持多人检测,将绘制所有检测到的人体骨骼
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"""
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if keypoints is None or len(keypoints) == 0:
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return img
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@ -40,44 +42,52 @@ def draw_skeleton_with_similarity(img, keypoints, scores, joint_similarities=Non
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# 骨骼的默认颜色
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default_color = (0, 255, 255) # 黄色
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person_kpts = keypoints[0] if len(keypoints.shape) > 2 else keypoints
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person_scores = scores[0] if len(scores.shape) > 1 else scores
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# 确保keypoints和scores的形状正确,处理多人情况
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if len(keypoints.shape) == 2:
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keypoints = keypoints[None, :, :]
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scores = scores[None, :, :]
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# 绘制骨骼
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for limb_id, limb in enumerate(skeleton):
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joint_a, joint_b = limb
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# 遍历所有人
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num_instances = keypoints.shape[0]
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for person_idx in range(num_instances):
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person_kpts = keypoints[person_idx]
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person_scores = scores[person_idx]
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if joint_a >= len(person_scores) or joint_b >= len(person_scores):
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continue
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# 绘制骨骼
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for limb_id, limb in enumerate(skeleton):
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joint_a, joint_b = limb
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if person_scores[joint_a] < kpt_thr or person_scores[joint_b] < kpt_thr:
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continue
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if joint_a >= len(person_scores) or joint_b >= len(person_scores):
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continue
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if person_scores[joint_a] < kpt_thr or person_scores[joint_b] < kpt_thr:
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continue
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x_a, y_a = person_kpts[joint_a]
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x_b, y_b = person_kpts[joint_b]
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x_a, y_a = person_kpts[joint_a]
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x_b, y_b = person_kpts[joint_b]
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# 确定线条颜色
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color = default_color
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if joint_similarities is not None:
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# 检查这个连接是否有对应的关节角度
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if (joint_a, joint_b) in joint_to_angle_mapping:
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angle_name = joint_to_angle_mapping[(joint_a, joint_b)]
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if angle_name in joint_similarities:
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similarity = joint_similarities[angle_name]
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if similarity > 90:
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color = (0, 255, 0) # 绿色
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elif similarity > 80:
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color = (0, 255, 255) # 黄色
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else:
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color = (0, 0, 255) # 红色
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cv2.line(img, (int(x_a), int(y_a)), (int(x_b), int(y_b)), color, thickness=line_width)
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# 确定线条颜色
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color = default_color
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if joint_similarities is not None:
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# 检查这个连接是否有对应的关节角度
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if (joint_a, joint_b) in joint_to_angle_mapping:
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angle_name = joint_to_angle_mapping[(joint_a, joint_b)]
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if angle_name in joint_similarities:
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similarity = joint_similarities[angle_name]
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if similarity > 90:
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color = (0, 255, 0) # 绿色
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elif similarity > 80:
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color = (0, 255, 255) # 黄色
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else:
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color = (0, 0, 255) # 红色
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cv2.line(img, (int(x_a), int(y_a)), (int(x_b), int(y_b)), color, thickness=line_width)
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# 绘制关键点
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for kpt_id, (x, y) in enumerate(person_kpts):
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if person_scores[kpt_id] < kpt_thr:
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continue
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cv2.circle(img, (int(x), int(y)), 3, (255, 0, 255), -1)
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# 绘制关键点
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for kpt_id, (x, y) in enumerate(person_kpts):
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if person_scores[kpt_id] < kpt_thr:
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continue
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cv2.circle(img, (int(x), int(y)), 3, (255, 0, 255), -1)
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return img
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