matrix_w = 5
matrix_min_xy = 0
matrix_max_xy = 255
visualize_after = 1000
visualize_image_after = 30000
matrix = np.random.rand(matrix_h, matrix_w,
3) * (matrix_max_xy - matrix_min_xy) + matrix_min_xy
image_filename = "woman.png"
#image_filename = "parrot.png"
dataset = Dataset(image_filename)
data = dataset.get_all()
#visualized_data = dataset.get_every_nth(30)
visualized_data = dataset.next_batch(1000)
step = 0
visualize.copy_image(image_filename, "out_image_original.png")
visualize.clear_image("out_image.png")
while True:
step += 1
#while True:
#data_sample = np.random.rand(2) * (data_max_xy - data_min_xy) + data_min_xy
