from typing import List coco_limbSeq = [ [1, 2], [1, 5], [2, 3], [3, 4], [5, 6], [6, 7], [1, 8], [8, 9], [9, 10], [1, 11], [11, 12], [12, 13], [1, 0], [0, 14], [14, 16], [0, 15], [15, 17], ] coco_colors = [ [255, 0, 0], [255, 85, 0], [255, 170, 0], [255, 255, 0], [170, 255, 0], [85, 255, 0], [0, 255, 0], [0, 255, 85], [0, 255, 170], [0, 255, 255], [0, 170, 255], [0, 85, 255], [0, 0, 255], [85, 0, 255], [170, 0, 255], [255, 0, 255], [255, 0, 170], [255, 0, 85] ] body_25_limbSeq = [ [1, 8], [1, 2], [1, 5], [2, 3], [3, 4], [5, 6], [6, 7], [8, 9], [9, 10], [10, 11], [8, 12], [12, 13], [13, 14], [1, 0], [0, 15], [15, 17], [0, 16], [16, 18], [14, 19], [19, 20], [14, 21], [11, 22], [22, 23], [11, 24] ] body_25_colors = [ [255, 0, 85], [255, 0, 0], [255, 85, 0], [255, 170, 0], [255, 255, 0], [170, 255, 0], [85, 255, 0], [0, 255, 0], [255, 0, 0], [0, 255, 85], [0, 255, 170], [0, 255, 255], [0, 170, 255], [0, 85, 255], [0, 0, 255], [255, 0, 170], [170, 0, 255], [255, 0, 255], [85, 0, 255], [0, 0, 255], [0, 0, 255], [0, 0, 255], [0, 0, 255], [0, 255, 255], [0, 255, 255], [0, 255, 255] ] body_25B_limbSeq = [ [0, 1], [0, 2], [1, 3], [2, 4], [5, 7], [6, 8], [7, 9], [8, 10], [5, 11], [6, 12], [11, 13], [12, 14], [13, 15], [14, 16], [15, 19], [19, 20], [15, 21], [16, 22], [22, 23], [16, 24], [5, 17], [6, 17], [17, 18], [11, 12] ] body_25B_colors = [ [255, 0, 85], [170, 0, 255], [255, 0, 170], [85, 0, 255], [255, 0, 255], [170, 255, 0], [255, 85, 0], [85, 255, 0], [255, 170, 0], [0, 255, 0], [255, 255, 0], [0, 170, 255], [0, 255, 85], [0, 85, 255], [0, 255, 170], [0, 0, 255], [0, 255, 255], [255, 0, 0], [255, 0, 0], [0, 0, 255], [0, 0, 255], [0, 0, 255], [0, 255, 255], [0, 255, 255], [0, 255, 255] ] class Keypoint: def __init__(self, x: float, y: float, confidence: float = 1.0): """ Initialize a Keypoint object. Args: x (float): The x-coordinate of the keypoint. y (float): The y-coordinate of the keypoint. confidence (float): The confidence score of the keypoint. Default is 1.0. """ self.x = x self.y = y self.confidence = confidence def __repr__(self): return f"Keypoint(x={self.x}, y={self.y}, confidence={self.confidence})" class Skeleton: def __init__(self, keypoints: List[Keypoint]): self.keypoints = keypoints def __repr__(self): return f"Skeleton(keypoints={self.keypoints})" def is_healthy_skeleton(self): for keypoint in self.keypoints: if keypoint.confidence == 0.0: return False return True class Skeleton_Seqence: def __init__(self, skeletons: List[Skeleton]): self.skeletons_frame = skeletons def __repr__(self): return f"Skeleton_Seqence(Skeleton_frames={self.skeletons_frame})" def get_frame(self, frame_index: int) -> Skeleton: return self.skeletons_frame[frame_index] def add_frame(self, skeleton: Skeleton): self.skeletons_frame.append(skeleton) def is_healthy_seqence(self): for skeleton in self.skeletons_frame: if not skeleton.is_healthy_skeleton(): return False return True def fix_keypoints(keypoints, last_keypoints, next_keypoints): if not keypoints or not last_keypoints or not next_keypoints: return keypoints for i, keypoint in enumerate(keypoints): if keypoint.confidence == 0.0 and last_keypoints and next_keypoints: last_keypoint = last_keypoints[i] next_keypoint = next_keypoints[i] if last_keypoint.confidence > 0 and next_keypoint.confidence > 0: keypoint.x = (last_keypoint.x + next_keypoint.x) / 2 keypoint.y = (last_keypoint.y + next_keypoint.y) / 2 keypoint.confidence = (last_keypoint.confidence + next_keypoint.confidence) / 2 return keypoints def get_time_slice_for_Skeleton_Seqences(skeleton_seqences: List[Skeleton_Seqence], frame_index: int) -> List[Skeleton]: return [skeleton_seq.get_frame(frame_index) for skeleton_seq in skeleton_seqences]