Hello,
I am working with grayscale images. I want to use the Resnet 18 architecture. I don’t want to use the pre-trained model as I am planning to train it from scratch. However, my input_image size is (512, 1536) and I cannot resize or downsample it. I need to feed this as an input to the resnet18. Once the image (feature_vectors) size reaches (44, 120) I would like to append another channel to this output.
i.e. if the output at layer “x” is (44, 120, 256), I would like to concatenate another image vector here and make the output layer “x” (44, 120, 257).
In order to find the correct layer at which the shape (44, 120) is achieved, I did some hand calculations for the layers, however, I can’t seem to figure out the answer.
I would really appreciate some help.