resnext_101_deploy.py 文件源码

def construc_net():
  net = caffe.NetSpec()

  net.data  = L.Input(input_param = dict(shape = dict(dim = [1,3,224,224])))

  block1    = _block_first(net, net.data)

  net.pool1 = L.Pooling(block1, pool = P.Pooling.MAX, kernel_size = 3, stride = 2)

  branch_2a = _branch('2a', net, net.pool1, 128, has_branch1 = True, is_branch_2a = True)
  branch_2b = _branch('2b', net, branch_2a, 128)
  branch_2c = _branch('2c', net, branch_2b, 128)

  branch_3a = _branch('3a', net, branch_2c, 256, has_branch1 = True)
  branch_3b = _branch('3b', net, branch_3a, 256)
  branch_3c = _branch('3c', net, branch_3b, 256)
  branch_3d = _branch('3d', net, branch_3c, 256)

  branch_4a = _branch('4a', net, branch_3d, 512, has_branch1 = True)
  branch_pre = branch_4a
  for idx in xrange(1,23,1): # conv4_x total 1+22=23
    flag = '4b{}'.format(idx)
    branch_pre = _branch(flag, net, branch_pre, 512)

  branch_5a = _branch('5a', net, branch_pre, 1024, has_branch1 = True)
  branch_5b = _branch('5b', net, branch_5a,  1024)
  branch_5c = _branch('5c', net, branch_5b,  1024)

  net.pool5 = L.Pooling(branch_5c, pool = P.Pooling.AVE, kernel_size = 7, stride = 1)

  net.fc6 = L.InnerProduct(net.pool5, num_output = 1000)
  net.prob = L.Softmax(net.fc6)

  return net.to_proto()