SuperCrystal
commented
5 years ago from keras.models import load_model from keras.preprocessing import image import numpy as np import matplotlib.pyplot as plt from keras import models import sys from keras.applications.imagenet_utils import preprocess_input if __name__ == '__main__': sys.path.append(r"./") model = load_model(r"./outputs/cats_and_dogs_small_2.h5") model.summary() img_path = r'./cats_and_dogs_small/test/cats/cat.1700.jpg' img = image.load_img(img_path, target_size=(150, 150)) img_tensor = image.img_to_array(img) img_tensor = np.expand_dims(img_tensor, axis=0) # Remember that the model was trained on inputs # that were preprocessed in the following way: img_tensor = preprocess_input(img_tensor) # Extracts the outputs of the top 8 layers: layer_outputs = [layer.output for layer in model.layers[:8]] # Creates a model that will return these outputs, given the model input: activation_model = models.Model(inputs=model.input, outputs=layer_outputs) # This will return a list of 5 Numpy arrays: # one array per layer activation activations = activation_model.predict(img_tensor) first_layer_activation = activations[0] print(first_layer_activation.shape) print(first_layer_activation)I run this code in linux is fine, but when I use windows, It occur some errors.
Traceback (most recent call last): File "D:/python/python codes/dogs_and_cats/visualization.py", line 29, in <module> activations = activation_model.predict(img_tensor) File "D:\python\anaconda\lib\site-packages\keras\engine\training.py", line 1167, in predict steps=steps) File "D:\python\anaconda\lib\site-packages\keras\engine\training_arrays.py", line 294, in predict_loop batch_outs = f(ins_batch) File "D:\python\anaconda\lib\site-packages\keras\backend\tensorflow_backend.py", line 2666, in __call__ return self._call(inputs) File "D:\python\anaconda\lib\site-packages\keras\backend\tensorflow_backend.py", line 2635, in _call session) File "D:\python\anaconda\lib\site-packages\keras\backend\tensorflow_backend.py", line 2587, in _make_callable callable_fn = session._make_callable_from_options(callable_opts) File "D:\python\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1480, in _make_callable_from_options return BaseSession._Callable(self, callable_options) File "D:\python\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1441, in __init__ session._session, options_ptr, status) File "D:\python\anaconda\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 519, in __exit__ c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.InvalidArgumentError: input_1:0 is both fed and fetched. Exception ignored in: <bound method BaseSession._Callable.__del__ of <tensorflow.python.client.session.BaseSession._Callable object at 0x000001E29716B160>> Traceback (most recent call last): File "D:\python\anaconda\lib\site-packages\tensorflow\python\client\session.py", line 1464, in __del__ self._session._session, self._handle, status) File "D:\python\anaconda\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 519, in __exit__ c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.InvalidArgumentError: No such callable handle: 2072641053968
Hello, I have met with the same problem with you in win10. Did you figure out the possible solution? Thanks!
I run this code in linux is fine, but when I use windows, It occur some errors.