My problem:
My Project about recognize identify. I using camera Intel D435 to collect and get depthmap of face, I folllow this paper with my dataset student. link
After I train Model include one pictures(.png) and one depthmap(.npy) of face, I train my model ResNet50 with pretrain Imagenet, using Pytorch, my dataset have 500 class with 70 picture/class. I got model 99.7% But i have problem my model only veryfi data trained in my dataset, and not verify real data.
So i want change another CNN, I want use Inception V3 and I changed input channel, from 3 channel to 4 channel( RGB image and depthmap) but i got error
when i train.
RuntimeError: Given groups=1, weight of size 64 4 3 3, expected input[16, 3, 299, 299] to have 4 channels, but got 3 channels instead

All code I post above from first question.
Thank for your help.