tool/MANO_render/render.py [44:55]:
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with open(osp.join(annot_root_path, split, 'InterHand2.6M_' + split + '_MANO_NeuralAnnot.json')) as f:
    mano_params = json.load(f)
with open(osp.join(annot_root_path, split, 'InterHand2.6M_' + split + '_camera.json')) as f:
    cam_params = json.load(f)
with open(osp.join(annot_root_path, split, 'InterHand2.6M_' + split + '_joint_3d.json')) as f:
    joints = json.load(f)

img_path_list = glob(osp.join(img_root_path, split, 'Capture' + capture_idx, seq_name, 'cam' + cam_idx, '*.jpg'))
for img_path in img_path_list:
    frame_idx = img_path.split('/')[-1][5:-4]
    img = cv2.imread(img_path)
    img_height, img_width, _ = img.shape
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tool/MANO_world_to_camera/convert.py [50:61]:
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with open(osp.join(annot_root_path, split, 'InterHand2.6M_' + split + '_MANO_NeuralAnnot.json')) as f:
    mano_params = json.load(f)
with open(osp.join(annot_root_path, split, 'InterHand2.6M_' + split + '_camera.json')) as f:
    cam_params = json.load(f)
with open(osp.join(annot_root_path, split, 'InterHand2.6M_' + split + '_joint_3d.json')) as f:
    joints = json.load(f)

img_path_list = glob(osp.join(img_root_path, split, 'Capture' + capture_idx, seq_name, 'cam' + cam_idx, '*.jpg'))
for img_path in img_path_list:
    frame_idx = img_path.split('/')[-1][5:-4]
    img = cv2.imread(img_path)
    img_height, img_width, _ = img.shape
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