def load_homography()

in sample.py [0:0]

• 11 lines of code
• 1 McCabe index (conditional complexity)

def load_homography(video_path, homography_path, seq_length):
	homography = []
	h = [1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0] * 15;
	homography.append(h)
	for i in range(seq_length-1):
		file = open(os.path.join(video_path, homography_path, "h" + str(i) + ".txt"))
		h = file.read().split()
		h = map(float, h)
		homography.append(h)
	homography = torch.Tensor(homography)
	return homography