Are there any requirements and restrictions on input, this is my mistake：
Traceback (most recent call last):
File "main.py", line 71, in
predictions = model.predict_generator(generator_test(b_s=1, imgs_test_path=imgs_test_path), nb_imgs_test)
File "D:\tools\Anaconda\set\envs\python37tf\lib\site-packages\keras\engine\training.py", line 1662, in predict_generator
outs = self.predict_on_batch(x)
File "D:\tools\Anaconda\set\envs\python37tf\lib\site-packages\keras\engine\training.py", line 1286, in predict_on_batch
self.internal_input_shapes)
File "D:\tools\Anaconda\set\envs\python37tf\lib\site-packages\keras\engine\training.py", line 73, 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...
Are there any requirements and restrictions on input, this is my mistake： Traceback (most recent call last): File "main.py", line 71, in
predictions = model.predict_generator(generator_test(b_s=1, imgs_test_path=imgs_test_path), nb_imgs_test)
File "D:\tools\Anaconda\set\envs\python37tf\lib\site-packages\keras\engine\training.py", line 1662, in predict_generator
outs = self.predict_on_batch(x)
File "D:\tools\Anaconda\set\envs\python37tf\lib\site-packages\keras\engine\training.py", line 1286, in predict_on_batch
self.internal_input_shapes)
File "D:\tools\Anaconda\set\envs\python37tf\lib\site-packages\keras\engine\training.py", line 73, 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...