IndexError: list index out of range (input_shape) about deepface HOT 8 CLOSED

Could you share your environment version?

import tensorflow
print(tensorflow.__version__)
import keras
print(keras.__version__)

from deepface.

BTW, if I print the input shape of 1st layer of the model, then it returns (None, 224, 224, 3) but you got [(None, 224, 224, 3)]. I think this is because we are using different versions.

Still, I'm going to add the following block in the next version of deepface. This will work in both returning types.

input_shape = custom_model.layers[0].input_shape

if type(input_shape) == list:
	input_shape = input_shape[0][1:3]
else:
	input_shape = input_shape[1:3]

I'm running unit tests now. It is going to be live in half hour. You should install the package "pip install deepface==0.0.31" after it published.

from deepface.

New version is on live. I think you can run deepface with this version even if you haven't change your tensorflow and keras versions.

https://pypi.org/project/deepface/0.0.31/

from deepface.

wow, thanks a lot for the very quick answer and help! i will test & watch it as soon as i have time.

from deepface.

I tried deepface version 0.0.31, but I had problems with that too. The problem was with opencv, but seems to have nothing in common with my original problem in this issue.

The opencv version I was using (OpenCV 4.1.2 ) did not work correctly with raspbian (see EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi#67 (comment) ).

So i installed opencv-python 3.4.6.27 (pip3 install opencv-python==3.4.6.27) and now it works.

Thank you serengil!

from deepface.

Please try the following version. That's exactly same version of mine. BTW, exception is same or changed? Could you share the new exception messages if it is changed.

pip install opencv-python==3.4.4

from deepface.

Sorry, I had a typo in my answer. I meant "now it works".

So everything is working now with opencv-python 3.4.6.27.

from deepface.

It's awesome. Thank you for analysis as well. I could not solve this problem if you haven't analyze it.

from deepface.