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Comments (4)

dnvtmf avatar dnvtmf commented on July 21, 2024 2

add preporcess part in inference(...) function

def inference(x, is_training,
              num_classes=1000,
              num_blocks=None,  # defaults to 50-layer network
              use_bias=False,  # defaults to using batch norm
              preprocess=True,
              bottleneck=True):
    if num_blocks is None:
        num_blocks = [3, 4, 6, 3]
    if preprocess:
        x = _imagenet_preprocess(x)
    # ....

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liyd avatar liyd commented on July 21, 2024

I have met the same problem, and my tensorflow version is r0.12.

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xiao1228 avatar xiao1228 commented on July 21, 2024

Hi I am having the same issue. Did you find the way to solve it?

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xiao1228 avatar xiao1228 commented on July 21, 2024

I just comment out the preporcess part.

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