In this example, we will use transfer learning for feature extraction and a German traffic sign dataset to develop a classifier. Used here is an AlexNet implementation by Michael Guerzhoy and Davi Frossard, and AlexNet weights are from the Berkeley vision and Learning center. The complete code and dataset can be downloaded from here.
AlexNet expects a 227 x 227 x 3 pixel image, whereas the traffic sign images are 32 x 32 x 3 pixels. In order to feed the traffic sign images into AlexNet, we'll need to resize the images to the dimensions that AlexNet expects, that is, 227 x 227 x 3:
original_image = tf.placeholder(tf.float32, (None, 32, 32, 3))
resized_image = tf.image.resize_images(original_imag, (227 ...
