resnet50???
henbucuoshanghai opened this issue · 7 comments
blocks = [
resnet_utils.Block('block1', bottleneck,
[(256, 64, 1)] * 2 + [(256, 64, 1)]),
resnet_utils.Block('block2', bottleneck,
[(512, 128, 2)] + [(512, 128, 1)] * 3),
resnet_utils.Block('block3', bottleneck,
[(1024, 256, 2)] + [(1024, 256, 1)] * 5),
resnet_utils.Block('block4', bottleneck,
[(2048, 512, 2)] + [(2048, 512, 1)] * 2)
]
blocks means resnet50??? but why compute net1234???
resnet_features = [net, net2, net3, net4]
return resnet_features
it means???
What are those question marks? I cannot understand your question.
blocks means resnet50???
but why compute [net, net2, net3, net4]???
I cannot understand your question. That is just pytorch official resnet code.
Sorry, tensorflow
official resnet code.
resnet v1?
but the official code is bad to understand,too complex to understand..