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A Pytorch implementation of MoveNet from Google. Include training code and pre-trained model.

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大神,请教一下,你是否有尝试过实现movenet模型的量化,比如在hub上提供的tensorflowjs 模型是半精度的即float16的,你这边是否有再进一步量化成uint8精度的?若有,请问是怎么操作的?效果如何?

fire老兄,请问你了解multipose的后处理吗?通过观察官方的multipose模型,看起来后处理跟singlepose颇有不同,不过有一些细节还不是很明白。

Thank you for creating this project. I am looking into fine-tuning the pretrained model and wanted to ask how I should approach this? Is it enough to just load the...

谢谢作者的大量工作,现有代码中实现的pre(),是否考虑过放置在movenet model 中? (现有输出onnx后移植到addroid app需要作较多工作,实现pre(...)) My target is implant the model to android app. https://github.com/tensorflow/examples/tree/master/lite/examples/pose_estimation/android

您好,您的模型结构主要是采取了哪篇论文,可以把论文共享一下吗,我想学习一下谢谢。

Hi, I am not able to match the pre-trained weights for the above model file from the output path. Could you guide me on how i can use the v3...

作者您好,我使用您的模型进行了训练,最后生成了热力图和关键点检测,但是没有找到对测试图片进行姿态估计效果图检测的文件,请指点一下!万分感谢