def hello(): from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets(os.environ['HOME'] + util.data_dir, one_hot=True) image = mnist.test.images[1] image = util.img2binary(image) image = util.index2ary(util.img_size * util.img_size, image) ret = rec.do(image) return str(ret)
def main(): from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets(os.environ['HOME'] + util.data_dir, one_hot=True) image = mnist.test.images[1] image = util.img2binary(image) image = util.index2ary(util.img_size * util.img_size, image) rec = DeepRecognizer() print(rec.do(image))