tensorflow / tensorflow/models
VGG Inference not producing the same accuracy
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@marksandler2 is already working on this.
Since Jun 8, 2020.
models:research
type:support
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Description
I converted the checkpoint of VGG16 and VGG19 checkpoints into pb files. Afterward, I ran inference using the vgg_preprocessing on ORG imageNet images. The top-1 accuracy results do not match the given table by around (2-5%)
Can you please advise? Am I missing something when running inference for VGG? An example of running inference on VGG for a given input image would be appreciated.
PS: Please note that I also used the rest of the DNNs and they are fine.
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