First Issue: The scipy.misc module has been deprecated since Scipy version 1.0.0 and the 'imread' and 'imresize' functions are no longer available in the scipy.misc module.
Fix: In the prepare_imagenet_data.py replace the 'from scipy.misc import imread, imresize' with 'import imageio' and replace the following line 'img = imread(im_path, mode='RGB')' with 'img = imageio.imread(im_path, mode='RGB')'
Second issue: The imresize function is not available in scipy module and imageio module.
Fix: In the prepare_imagenet_data.py insert 'from skimage.transform import resize' at the start of the file along with the other packages aliases, then replace the line 'img = imresize(img, img_size)' with 'img = resize(img, img_size)'
Third Issue: In TensorFlow 2.x, the Session class has been removed, and the execution model has changed to using eager execution by default.
Fix: I have fixed this issue by updating the code of TensorFlow to 2.0 in demo_inception.py and replace the line 'persisted_sess = tf.Session()' with 'persisted_sess = tf.compat.v1.Session()' and replace 'tf.import_graph_def(graph_def, name='')' with 'tf.compat.v1.import_graph_def(graph_def, name='')'
Fourth Issue: The 'tf.GraphDef()' method is not available in TensorFlow 2.0 and make the changes in demo_inception.py and replace the line 'graph_def = tf.GraphDef()' with 'graph_def = tf.compat.v1.GraphDef()'
Fifth Issue: deprecation warning about FastGFile
Fix: In demo_inception.py replace the line 'with gfile.FastGFile(model, 'rb') as f:' with 'with tf.compat.v1.gfile.GFile(model, 'rb') as f:'
Sixth Issue: As of NumPy version 1.20.0, 'np.int' is no longer available as an alias for the built-in 'int'
Fix: In demo_inception.py replace the line 'str_label_original = labels[np.int(label_original)-1].split(',')[0]' with 'str_label_original = labels[int(label_original)-1].split(',')[0]' and replace 'str_label_perturbed = labels[np.int(label_perturbed)-1].split(',')[0]' with 'str_label_perturbed = labels[int(label_perturbed)-1].split(',')[0]'
The code should run with these changes but the issue I'm getting with running the 'python demo_inception.py -i data/test_img.png' command you get is a blank image instead of a plant pot. Please correct me if I'm wrong.
@husseinfawzi could you help me run the Universal adversarial perturbations code.
First Issue: The scipy.misc module has been deprecated since Scipy version 1.0.0 and the 'imread' and 'imresize' functions are no longer available in the scipy.misc module.
Fix: In the prepare_imagenet_data.py replace the 'from scipy.misc import imread, imresize' with 'import imageio' and replace the following line 'img = imread(im_path, mode='RGB')' with 'img = imageio.imread(im_path, mode='RGB')'
Second issue: The imresize function is not available in scipy module and imageio module.
Fix: In the prepare_imagenet_data.py insert 'from skimage.transform import resize' at the start of the file along with the other packages aliases, then replace the line 'img = imresize(img, img_size)' with 'img = resize(img, img_size)'
Third Issue: In TensorFlow 2.x, the Session class has been removed, and the execution model has changed to using eager execution by default.
Fix: I have fixed this issue by updating the code of TensorFlow to 2.0 in demo_inception.py and replace the line 'persisted_sess = tf.Session()' with 'persisted_sess = tf.compat.v1.Session()' and replace 'tf.import_graph_def(graph_def, name='')' with 'tf.compat.v1.import_graph_def(graph_def, name='')'
Fourth Issue: The 'tf.GraphDef()' method is not available in TensorFlow 2.0 and make the changes in demo_inception.py and replace the line 'graph_def = tf.GraphDef()' with 'graph_def = tf.compat.v1.GraphDef()'
Fifth Issue: deprecation warning about FastGFile
Fix: In demo_inception.py replace the line 'with gfile.FastGFile(model, 'rb') as f:' with 'with tf.compat.v1.gfile.GFile(model, 'rb') as f:'
Sixth Issue: As of NumPy version 1.20.0, 'np.int' is no longer available as an alias for the built-in 'int'
Fix: In demo_inception.py replace the line 'str_label_original = labels[np.int(label_original)-1].split(',')[0]' with 'str_label_original = labels[int(label_original)-1].split(',')[0]' and replace 'str_label_perturbed = labels[np.int(label_perturbed)-1].split(',')[0]' with 'str_label_perturbed = labels[int(label_perturbed)-1].split(',')[0]'
The code should run with these changes but the issue I'm getting with running the 'python demo_inception.py -i data/test_img.png' command you get is a blank image instead of a plant pot. Please correct me if I'm wrong.
@husseinfawzi could you help me run the Universal adversarial perturbations code.