Open Coronal-Halo opened 1 month ago
Sure, I’ll update in two days.
Hi, could you please provide a simple demo script where a custom image is taken by the model to output an emotion label? Your Python notebook does not work.
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In the open_set_detection_test.ipynb, a model is trained using the pseudo labels. The trained model is evaluated on the test set which contains both closed-set and open-set samples. We record the index of the closed-set and open-set samples in order to view the separation of their predictions using the trained model. A better separation means that the model is better for open-set recognition. You only need to download the pretrained ResNet-50 to start training. Could you provide the error information as I do not see the missing pieces.
Hi, could you please provide a simple demo script where a custom image is taken by the model to output an emotion label? Your Python notebook does not work due to multiple errors and missing pieces...