Human3.6M 解析3d pose标注 h36m

目录

解析pkl 并可视化

解析h5格式： view_h36m_h5_ok.py

nlf 预测并计算指标mpje

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解析pkl 并可视化

import os
import pickle

import cv2
import imageio
import numpy as np

if __name__ == '__main__':

    # pkl_path=r"E:\data\pose_3d\human3.6mtoolbox\annot\h36m_validation.pkl"
    pkl_path=r"E:\data\pose_3d\human3.6mtoolbox\annot\h36m_train.pkl"
    out_dir='h36m_view/'
    os.makedirs(out_dir,exist_ok=True)
    datas = pickle.load(open(pkl_path, "rb"), encoding="latin1")
    img_dir=r'E:\data\pose_3d\human3.6mto