bicho:
开始时写成了
`small_imgs = torch.zeros(images.shape[0],images.shape[1],opt['network']['H'],opt['network']['H'],num).to('cuda')`
图像切花了
```go
reshape的时候要把多的一维放到batch旁边，torch默认最后两维是H、W‘’
#
def crop_imgs(images, opt):
scal = int(opt['datasets']['H']/opt['network']['H'])
num = scal*scal
small_imgs = torch.zeros(images.shape[0],num,images.shape[1],opt['network']['H'],opt['network']['H']).to('cuda')
count = 0
for i in range(scal):
for j in range(scal):
small_imgs[:,count,:,:,:] = images[:, :, i*opt['network']['H']:(i+1)*opt['network']['H'], j*opt['network']['H']:(j+1)*opt['network']['H']]
count+=1
small_imgs = torch.reshape(small_imgs, [small_imgs.shape[0]*small_imgs.shape[1], images.shape[1],opt['network']['H'],opt['network']['W']])
return small_imgs
