image_features[0,:] = get_image_model(CNN_weights_file_name).predict(im)[0] ValueError: could not broadcast input array from shape (1000) into shape (4096)

[yashkark]

No description provided.

[yashkark]

keras version 2.2.4
tensorflow version 1.12.0

[Archan2607]

Downgrade your keras version to 2.0, it will work.

[AmrataRamchandani]

The new error arises by downgrading the keras version.
@iamaaditya Is there any other way out for this problem ?

[akyso168]

You need to remove the top layers of the pre-trained VGG and keep the Dense layer of 4096 as your output

[lzy119]

@yashkark @AmrataRamchandani Hello, I have the same problem. Have you solved the problem? Can you share with us how to solve it? Thank you very much!

[Dishank99]

did any one find any working solution for this issue?

[Shahidkhan990]

I have facing this issue can anyone help?

AttributeError Traceback (most recent call last)
~\RobotLab\lib\site-packages\tensorflow_core\python\keras\engine\base_layer.py in setattr(self, name, value)
2260 try:
-> 2261 super(tracking.AutoTrackable, self).setattr(name, value)
2262 except AttributeError:

AttributeError: can't set attribute

During handling of the above exception, another exception occurred:

AttributeError Traceback (most recent call last)
in
----> 1 model_vgg = get_image_model(CNN_weights_file_name)
2 plot_model(model_vgg, to_file='model_vgg.png')

in get_image_model(CNN_weights_file_name)
3 with the weights. Requires the file VGG.py inside models/CNN '''
4 from models.CNN.VGG import VGG_16
----> 5 image_model = VGG_16(CNN_weights_file_name)
6 image_model.layers.pop()
7 image_model.layers.pop()

~\OneDrive\Documents\Process Studio Workspace\VQA_Demo-master\models\CNN\VGG.py in VGG_16(weights_path)
102
103 #Remove the last two layers to get the 4096D activations
--> 104 model = pop(model)
105 model = pop(model)
106

~\OneDrive\Documents\Process Studio Workspace\VQA_Demo-master\models\CNN\VGG.py in pop(model)
22 model.outbound_nodes = []
23 else:
---> 24 model.layers[-1].outbound_nodes = []
25 model.outputs = [model.layers[-1].output]
26 model.built = False

~\RobotLab\lib\site-packages\tensorflow_core\python\keras\engine\base_layer.py in setattr(self, name, value)
2264 ('Can't set the attribute "{}", likely because it conflicts with '
2265 'an existing read-only @Property of the object. Please choose a '
-> 2266 'different name.').format(name))
2267 return
2268

AttributeError: Can't set the attribute "outbound_nodes", likely because it conflicts with an existing read-only @Property of the object. Please choose a different name.

[svical]

Finally, I overcame this issue. It's a package version problem. Use python==3.5, tensorflow==1.2.0, keras==2.0.6, scikit-learn==0.18.1, spacy==2.0.2, opencv-python==3.2.0.7 and it will work. I have uploaded my anaconda env at https://drive.google.com/file/d/1-9QUB7ho3jzXmFN2eM-6K4O5uvkGAOGZ/view?usp=sharing.