Hello. In the multi-class classification notebook of Tao-Toolkit-API, there should be the class names in the datastrure.
However. When I do model inference, the custom dataset of mine has not classified yet.
Is it possible to do multi-class classification model inference by Tao-Toolkit-API without classifying dataset ?
Can you elaborate more? Or share the .ipynb notebook file.
As the picture below, the description of dataset structure in the multi-class calssification notebook is required to set the classes firstly.
In my case, I have to do model inference with the dataset which has not been classified yet.
Could I upload the unclassified dataset used for inference in the process of model inference?
There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks
Should be working. You can run the last “TAO Inference” section.
TAO API is not forcing directory structure inside images_test.
You can have just raw images under images_test.
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