- TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch VS segmentation_models.pytorch
- TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch VS ttach
- TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch VS torchio
- TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch VS Robo-Semantic-Segmentation
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Robo-Semantic-Segmentation
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TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch reviews and mentions
Posts with mentions or reviews of 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
Stats
Basic TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch repo stats
2
531
0.0
over 1 year ago
The primary programming language of TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch is Python.
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