79 lines
2.7 KiB
Python
79 lines
2.7 KiB
Python
import json
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class ConvertPoseToStandardFormat:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"raw_pose_data": ("POSE_KEYPOINT",),
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}
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}
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RETURN_TYPES = ("POSE_KEYPOINT",)
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RETURN_NAMES = ("standardized_pose_data",)
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FUNCTION = "convert"
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CATEGORY = "Snap Processing"
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def convert(self, raw_pose_data):
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frames = []
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if isinstance(raw_pose_data, str):
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try:
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parsed = json.loads(raw_pose_data)
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except json.JSONDecodeError as e:
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raise ValueError(f"[ConvertPoseToStandardFormat] JSON 解析失败: {e}")
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if isinstance(parsed, dict):
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frames = [parsed]
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elif isinstance(parsed, list):
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frames = parsed
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else:
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raise ValueError(f"[ConvertPoseToStandardFormat] 解析后不是 dict/list: {type(parsed)}")
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elif isinstance(raw_pose_data, dict):
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frames = [raw_pose_data]
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elif isinstance(raw_pose_data, list):
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for idx, entry in enumerate(raw_pose_data):
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if isinstance(entry, dict):
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frames.append(entry)
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elif isinstance(entry, str):
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try:
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e = json.loads(entry)
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except json.JSONDecodeError:
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raise ValueError(f"[ConvertPoseToStandardFormat] 第 {idx} 项 JSON 解析失败：{entry[:100]}…")
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if isinstance(e, dict):
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frames.append(e)
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else:
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raise ValueError(f"[ConvertPoseToStandardFormat] 第 {idx} 项解析后不是 dict: {type(e)}")
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else:
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raise ValueError(f"[ConvertPoseToStandardFormat] 第 {idx} 项类型不支持: {type(entry)}")
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else:
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raise ValueError(f"[ConvertPoseToStandardFormat] 不支持的 raw_pose_data 类型: {type(raw_pose_data)}")
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output = []
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for frame in frames:
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ppl = frame.get("people")
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if not isinstance(ppl, list) or len(ppl) == 0:
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print(f"[ConvertPoseToStandardFormat] 跳过无效 frame：{frame}")
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continue
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new_people = []
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for person in ppl:
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new_people.append({
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"pose_keypoints_2d": person.get("pose_keypoints_2d", []),
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"face_keypoints_2d": [],
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"hand_left_keypoints_2d": [],
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"hand_right_keypoints_2d": [],
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})
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output.append({"people": new_people})
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return (output,)
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NODE_CLASS_MAPPINGS = {
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"ConvertPoseToStandardFormat": ConvertPoseToStandardFormat,
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}
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