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The key points provided in this repo are manually annotated. We then use the annotations as supervision to train an Hourglass-like Network[1] for automatically predicting the key points, given an input vehicle image.
[1].A. Newell, K. Yang, and J. Deng. Stacked hourglass networks for human pose estimation. In ECCV, 2016
请问在代码当中是如何从一张训练集图片预测得到含有20个关键点的车辆响应图?
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