How to realize the function of license Plate recognition by TensorFlow

< 190: img_data[0][w+h*width] = 1 else: img_data[0][w+h*width] = 0 result = sess.run(conv, feed_dict = {x: np.array(img_data), keep_prob: 1.0}) max1 = 0 max2 = 0 max3 = 0 max1_index = 0 max2_index = 0 max3_index = 0 for j in range(NUM_CLASSES): if result[0][j] >

< 190: img_data[0][w+h*width] = 1 else: img_data[0][w+h*width] = 0 result = sess.run(conv, feed_dict = {x: np.array(img_data), keep_prob: 1.0}) max1 = 0 max2 = 0 max3 = 0 max1_index = 0 max2_index = 0 max3_index = 0 for j in range(NUM_CLASSES): if result[0][j] >

< 190: img_data[0][w+h*width] = 1 else: img_data[0][w+h*width] = 0 result = sess.run(conv, feed_dict = {x: np.array(img_data), keep_prob: 1.0}) max1 = 0 max2 = 0 max3 = 0 max1_index = 0 max2_index = 0 max3_index = 0 for j in range(NUM_CLASSES): if result[0][j] >

Max1: max1 = result [0] [j] max1_index = j continue if (result [0] [j] > max2) and (result [0] [j] max3) and (result [0] [j]