TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch
Pytorch-PCGrad
| TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch | Pytorch-PCGrad | |
|---|---|---|
| 2 | 1 | |
| 531 | 265 | |
| - | - | |
| 0.0 | 1.8 | |
| over 1 year ago | almost 3 years ago | |
| Python | Python | |
| - | BSD 3-clause "New" or "Revised" License |
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TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch
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Good cameras for computer vision applied to tennis
I'll consider using two cameras, I figured one was enough because this paper gets good results with just that and was planning to use the same/similar network to get the same/similar results but applied to a different sport.
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Deep Learning and Tennis Video annotation
Thanks - there are two models for ball tracking, first one is "coarse" and looks for the approximate position of the ball (using resized image) and the second one is updating coarse coordinates - and looks only at a patch of a high res image. It helped a lot and based on https://github.com/maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch
Pytorch-PCGrad
What are some alternatives?
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