mks0601/TF-SimpleHumanPose

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..