Comments (3)
dia/env2/local/lib/python2.7/site-packages/keras_applications/resnet50.py:265: UserWarning: The output shape of ResNet50(include_top=False)
has been changed since Keras 2.2.0.
warnings.warn('The output shape of ResNet50(include_top=False)
'
Downloading data from https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5
94658560/94653016 [==============================] - 10s 0us/step
94666752/94653016 [==============================] - 10s 0us/step
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ValueError: number of input channels does not match corresponding dimension of filter, 224 != 3`
Looks like there's some dimension issue in you input, are keeping the right channel convention? See #2
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I was just to run the file using the default sample data, as demo. I did not do any customization, but configured the infrastructure and attempted executing the code. It should load by default some sample data and default model and output some video. Shouldn't it?
Thank you for sharing the url
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Related Issues (15)
- a small dataset provided HOT 2
- Unable to get SVA dataset HOT 2
- Do you know any GTA based Synthetic dataset for vehicle ReID? HOT 2
- Couldn't download pre-trained weights HOT 2
- Error using theano HOT 4
- Annotation tool
- Could you please provide the camera intrinsic and extrinsic parameters?
- Model was constructed with shape (None, None, None, 3) for input KerasTensor, but it was called on an input with incompatible shape (None, 3, 224, 224)
- ValueError: number of input channels does not match corresponding dimension of filter HOT 20
- Bird-eye view data generation HOT 2
- Datafile column labels HOT 1
- main.py not runnning HOT 1
- filtered dataset HOT 4
- ValueError: total size of new array must be unchanged HOT 2
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