def load_openpose()

in sample.py [0:0]

• 12 lines of code
• 3 McCabe index (conditional complexity)

def load_openpose(video_path, openpose_path, seq_length):
	openpose = []
	for i in range(seq_length):
		with open(os.path.join(video_path, openpose_path, "imxx" + str(i+1) + "_keypoints.json"), 'r') as f:
			js = json.load(f)
			if ('people' not in js) or (len(js['people']) <= 0) or ('pose_keypoints_2d' not in js['people'][0]):
				pose2 = [0] * 75
			else:
				pose2 = js['people'][0]['pose_keypoints_2d']
		openpose.append(pose2)
	openpose = torch.Tensor(openpose)
	return openpose