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トップPython 3.xに関する質問openpose jsonファイル　

編集履歴

質問編集履歴

1

コード内容

2022/10/12 03:21

投稿

ke0313
ke0313

スコア65

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body CHANGED
@@ -46,18 +46,23 @@
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  def getSpecificData(filelist):
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  for i in range(len(filelist)):
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- with open(filelist[i]) as f:
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+ while True:
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- data = json.load(f)
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+ try:
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- data = np.array(data['people'][0]['pose_keypoints_2d']).reshape(-1,3)
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- df = pd.DataFrame(data, columns=['X','Y','P'], index=["Nose", "Neck", "RShoulder", "RElbow", "RWrist", "LShoulder", "LElbow", "LWrist", "MidHip", "RHip", \
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- "RKnee", "RAnkle", "LHip", "LKnee", "LAnkle", "REye", "LEye", "REar", "LEar", "LBigToe", "LSmallToe", "LHeel", "RBigToe", "RSmallToe", "RHeel"])
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- # 自分の必要なデータを取り出す
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- writeCSV([float(df.at["Nose", "X"]),float(df.at["Nose", "Y"]),float(df.at["Neck", "X"]),float(df.at["Neck", "Y"]),float(df.at["RShoulder", "X"]),float(df.at["RShoulder", "Y"]),float(df.at["RElbow", "X"]),float(df.at["RElbow", "Y"]), float(df.at["RWrist", "X"]), float(df.at["RWrist", "Y"]) ,float(df.at["LShoulder", "X"]),float(df.at["LShoulder", "Y"]),float(df.at["LElbow", "X"]) \
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- , float(df.at["LElbow", "Y"]), float(df.at["LWrist", "X"]), float(df.at["LWrist", "Y"]), float(df.at["MidHip", "X"]), float(df.at["MidHip", "Y"]), float(df.at["LWrist", "X"]), float(df.at["LWrist", "Y"]), float(df.at["RHip", "X"]), float(df.at["RHip", "Y"]), float(df.at["RKnee", "X"]), float(df.at["RKnee", "Y"]), float(df.at["RAnkle", "X"]), float(df.at["RAnkle", "Y"]), float(df.at["LHip", "X"]), float(df.at["LHip", "Y"])\
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- , float(df.at["LKnee", "X"]), float(df.at["LKnee", "Y"]), float(df.at["LAnkle", "X"]), float(df.at["LAnkle", "Y"]), float(df.at["REye", "X"]), float(df.at["REye", "Y"]), float(df.at["LEye", "X"]), float(df.at["LEye", "Y"]), float(df.at["REar", "X"]), float(df.at["REar", "Y"]), float(df.at["LEar", "X"]), float(df.at["LEar", "Y"]), float(df.at["LBigToe", "X"]), float(df.at["LBigToe", "Y"])\
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- , float(df.at["LSmallToe", "X"]), float(df.at["LSmallToe", "Y"]), float(df.at["LHeel", "X"]), float(df.at["LHeel", "Y"]), float(df.at["RBigToe", "X"]), float(df.at["RBigToe", "Y"]), float(df.at["RSmallToe", "X"]), float(df.at["RSmallToe", "Y"]), float(df.at["RHeel", "X"]), float(df.at["RHeel", "Y"])])
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+ with open(filelist[i]) as f:
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+ data = json.load(f)
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+ data = np.array(data['people'][0]['pose_keypoints_2d']).reshape(-1,3)
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+ df = pd.DataFrame(data, columns=['X','Y','P'], index=["Nose", "Neck", "RShoulder", "RElbow", "RWrist", "LShoulder", "LElbow", "LWrist", "MidHip", "RHip", \
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+ "RKnee", "RAnkle", "LHip", "LKnee", "LAnkle", "REye", "LEye", "REar", "LEar", "LBigToe", "LSmallToe", "LHeel", "RBigToe", "RSmallToe", "RHeel"])
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+ # 自分の必要なデータを取り出す
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+ writeCSV([float(df.at["Nose", "X"]),float(df.at["Nose", "Y"]),float(df.at["Neck", "X"]),float(df.at["Neck", "Y"]),float(df.at["RShoulder", "X"]),float(df.at["RShoulder", "Y"]),float(df.at["RElbow", "X"]),float(df.at["RElbow", "Y"]), float(df.at["RWrist", "X"]), float(df.at["RWrist", "Y"]) ,float(df.at["LShoulder", "X"]),float(df.at["LShoulder", "Y"]),float(df.at["LElbow", "X"]) \
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+ , float(df.at["LElbow", "Y"]), float(df.at["LWrist", "X"]), float(df.at["LWrist", "Y"]), float(df.at["MidHip", "X"]), float(df.at["MidHip", "Y"]), float(df.at["LWrist", "X"]), float(df.at["LWrist", "Y"]), float(df.at["RHip", "X"]), float(df.at["RHip", "Y"]), float(df.at["RKnee", "X"]), float(df.at["RKnee", "Y"]), float(df.at["RAnkle", "X"]), float(df.at["RAnkle", "Y"]), float(df.at["LHip", "X"]), float(df.at["LHip", "Y"])\
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+ , float(df.at["LKnee", "X"]), float(df.at["LKnee", "Y"]), float(df.at["LAnkle", "X"]), float(df.at["LAnkle", "Y"]), float(df.at["REye", "X"]), float(df.at["REye", "Y"]), float(df.at["LEye", "X"]), float(df.at["LEye", "Y"]), float(df.at["REar", "X"]), float(df.at["REar", "Y"]), float(df.at["LEar", "X"]), float(df.at["LEar", "Y"]), float(df.at["LBigToe", "X"]), float(df.at["LBigToe", "Y"])\
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+ , float(df.at["LSmallToe", "X"]), float(df.at["LSmallToe", "Y"]), float(df.at["LHeel", "X"]), float(df.at["LHeel", "Y"]), float(df.at["RBigToe", "X"]), float(df.at["RBigToe", "Y"]), float(df.at["RSmallToe", "X"]), float(df.at["RSmallToe", "Y"]), float(df.at["RHeel", "X"]), float(df.at["RHeel", "Y"])])
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+
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+ except IndexError:
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+ pass
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  def writeCSV(data):
Python 3.xPython