def __init__(self, config, rng=None):
self.rng = np.random.RandomState(1) if rng is None else rng
self.data_path = os.path.join(config.data_dir, 'gaze')
self.sample_path = os.path.join(self.data_path, config.sample_dir)
self.batch_size = config.batch_size
self.debug = config.debug
self.real_data, synthetic_image_path = load(config, self.data_path, self.sample_path, rng)
self.synthetic_data_paths = np.array(glob(os.path.join(synthetic_image_path, '*_cropped.png')))
self.synthetic_data_dims = list(imread(self.synthetic_data_paths[0]).shape) + [1]
self.synthetic_data_paths.sort()
if np.rank(self.real_data) == 3:
self.real_data = np.expand_dims(self.real_data, -1)
self.real_p = 0
gaze_data.py 文件源码
python
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