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dis v2
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@ -709,9 +709,9 @@ if __name__ == "__main__":
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print("building model...")
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hypar["model"] = ISNetDIS() #U2NETFASTFEATURESUP()
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hypar["early_stop"] = 20 ## stop the training when no improvement in the past 20 validation periods, smaller numbers can be used here e.g., 5 or 10.
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hypar["model_save_fre"] = 20 ## valid and save model weights every 2000 iterations
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hypar["model_save_fre"] = 2000 ## valid and save model weights every 2000 iterations
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hypar["batch_size_train"] = 2 ## batch size for training
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hypar["batch_size_train"] = 8 ## batch size for training
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hypar["batch_size_valid"] = 1 ## batch size for validation and inferencing
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print("batch size: ", hypar["batch_size_train"])
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