Dimension mismatch on imported training set


#1

Hi,

for testing purposes I imported the CatsVsDogs training set from here: https://www.kaggle.com/c/dogs-vs-cats

I am using a convnet in Keras for classification. My model seems to be working fine but there is a problem.

In the preprocessing I am resizing the images to 256x256 just for testing. Upon training I get the following error:

could not broadcast input array from shape (256,256,4) into shape (256,256,3)

So it seems like the preprocessing step bumps up my third image dimension to four channels.

Am I doing something wrong here?


#2

this means that some of your images has 4 channels. Maybe some images are PNG files with alpha channels.

You will need to cleanup your images first and make sure they have only 3 channels.


#3

There were only Jpegs in the training set but some of them had an invalid format.

So the rror message is misleading but my problem is solved.

Thanks!


#4

How did you check your images for invalid format? I have the same problem with all jpg’s…