Adding classification test method
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@ -162,7 +162,7 @@ if __name__ == '__main__':
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set = 'test'
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# Initiate dataset
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if config.dataset.startswith('ModelNet40'):
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if config.dataset == 'ModelNet40':
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test_dataset = ModelNet40Dataset(config, train=False)
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test_sampler = ModelNet40Sampler(test_dataset)
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collate_fn = ModelNet40Collate
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@ -209,7 +209,7 @@ if __name__ == '__main__':
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# Training
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if config.dataset_task == 'classification':
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a = 1/0
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tester.classification_test(net, test_loader, config)
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elif config.dataset_task == 'cloud_segmentation':
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tester.cloud_segmentation_test(net, test_loader, config)
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elif config.dataset_task == 'slam_segmentation':
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