resnet50easyPrediction2
fun resnet50easyPrediction2()
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This examples demonstrates the inference concept on ResNet'50 model:
Model configuration, model weights and labels are obtained from TFModelHub.
Weights are loaded from .h5 file, configuration is loaded from .json file.
Model predicts on a few images located in resources.
No additional training.
No new layers are added.
Special preprocessing (used in ResNet'50 during training on ImageNet dataset) is applied to images before prediction.