def load_images_torcs_4():
import glob
filepath = 'datasets/torcs_4/training_set/*.png'
filenames = glob.glob(filepath)
sample = scipy.ndimage.imread(filenames[0])
num_images = len(filenames)
images = np.zeros((num_images, sample.shape[0], sample.shape[1]), dtype=np.uint8)
for i in range(num_images):
images[i] = scipy.ndimage.imread(filenames[i])
images = images.reshape(len(images), 1, 64, 64)
return images
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