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Hi! To train on your own dataset, you just have to create a new class in datasets/ which inherits the class HumanPoseEstimation.
You have to implement the standard methods of the pytorch class Dataset and the additional method evaluate_accuracy(self, output, target, params=None). You can use the COCO dataset as a reference.
Let me know if you have any other question and, if you're working on a public dataset, feel free to send a pull request with the new dataset class! I'll be glad to add it in this repository
Thanks for your excellent work. If I want to train on my own dataset, how can I do? Thanks.
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