def get_gt_points()

in data_loaders.py [0:0]

• 9 lines of code
• 2 McCabe index (conditional complexity)

	def get_gt_points(self, obj_class, obj):
		samples = np.load(self.surf_location +obj_class + '/' + obj + '.npy')
		if self.args.eval:
			np.random.seed(0)
		np.random.shuffle(samples)
		gt_points = torch.FloatTensor(samples[:self.sample_num])
		gt_points *= .5 # scales the models to the size of shape we use
		gt_points[:, -1] += .6 # this is to make the hand and the shape the right releative sizes
		return gt_points