Hey there!
I used the model provided by Keras (Resnet152) to train a classification model using the RGB images. It worked so so, reaching a f1 score of 0.7. Thing is I also got a NIR (near infrared) channel which I simply ignored, because I couldnt load it into the ready provided model of keras.
It should have exactly 3 inputs channels, and width and height should be no smaller than 32. E.g. (200, 200, 3) would be one valid value. (from the docs)
However now I want to do use the resnet152 model with four channels and I have some questions:
- Is it correct, that I have to manually implement the resnet152 model to use the 4 channels (and that there is no way to use the ones provided by TF)?
- Do you know of existing implementations, so that I can have a look at them or even use em?
- What should I watch out when creating a Resnet with 4 input channels?
- To preprocess the 4 channeld input to yield a 3 channeled one is not an option for me
Thank you very much!