Comments (3)
Hi @JinchengWang , I haven't recorded the training time. But in genral, you can reach the performance about 55mm in one hour, and a complete training will take extra few hours. The model can be trained on all Nvidia GPUs which support Cuda and cudnn, you just need to install a suitable pytorch-gpu. I have experiences to train the model on gtx 1080, titan xp and rtx 3070 which can reach same performance on the accuracy.
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Thank you! That was fast oдo
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Because the network doesn't use image feature as input, so the tensor dimension is flexible. And also, we haven't predicted the camera parameters which requires lots of optimization steps in the training : ) Feel free to contact me(mailto: [email protected]) if you have any idea on the extension if I can help.
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Related Issues (20)
- kernel size HOT 2
- 如何将人体的关节信息映射到动画人物上的?
- 如何将人的关节信息映射到动画人物上? HOT 2
- With RGB image input for 3D motion prediction?
- Read the output of openpose on wild videos HOT 2
- 怎么改为输出zxy顺序的bvh文件? HOT 1
- How to obtain smooth animation? HOT 5
- Blender visualization issue. HOT 1
- 关于测试时如何获得更好的效果 HOT 1
- Several questions on the Neural FK. HOT 11
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- How to use custom pose 2D key-points? HOT 12
- question about training pose in world space.
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- 每个关节点预测出来的rotation是关于哪里的rotation
- Project dependencies may have API risk issues
- How to convert h36m 3d pose to quaternions or euler angles?
- Calculate Joint Angles from 3D skeleton
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