FelixIsCoding
commented
6 years ago I'm using the sample images in your code, and I put a print in main.py
images = [imgs_test_path + f for f in os.listdir(imgs_test_path) if f.endswith(('.jpg', '.jpeg', '.png'))]
images.sort()
print len(images)
So I'm sure the images have been read.
Hello, I've meet some errors when trying to use this code. I have the same version as mentioned and I didn't change any code. But it gives me these two errors. Exception in thread Thread-1: Traceback (most recent call last): File "/usr/lib/python2.7/threading.py", line 810, in __bootstrap_inner self.run() File "/usr/lib/python2.7/threading.py", line 763, in run self.target(*self.args, **self.__kwargs) File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 425, in data_generator_task generator_output = next(generator) File "main.py", line 48, in generator_test yield [preprocess_images(images[counter:counter + b_s], shape_r, shape_c), gaussian] File "/home/huying/workspace_linux/Saliency/sam-master/utilities.py", line 79, in preprocess_images padded_image = padding(original_image, shape_r, shape_c, 3) File "/home/huying/workspace_linux/Saliency/sam-master/utilities.py", line 13, in padding original_shape = img.shape AttributeError: 'NoneType' object has no attribute 'shape'
Traceback (most recent call last): File "main.py", line 112, in
predictions = m.predict_generator(generator_test(b_s=b_s, imgs_test_path=imgs_test_path), nb_imgs_test)[0]
File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 1634, in predict_generator
outs = self.predict_on_batch(x)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 1268, in predict_on_batch
self.internal_input_shapes)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 70, in standardize_input_data
'Found: ' + str(data)[:200] + '...')
Exception: Error when checking : data should be a Numpy array, or list/dict of Numpy arrays. Found: None...
Can you help with that?