Robo-Semantic-Segmentation
TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch
| Robo-Semantic-Segmentation | TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch | |
|---|---|---|
| 1 | 2 | |
| 0 | 531 | |
| - | - | |
| 0.0 | 0.0 | |
| over 3 years ago | over 1 year ago | |
| Python | Python | |
| MIT License | - |
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Robo-Semantic-Segmentation
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Where do I even start? Image segmentation.
Hi, you can look at this https://github.com/The-ML-Hero/Robo-Semantic-Segmentation/ which is my GitHub repo. This repo is all about segmentation specifically semantic segmentation, I have a couple of questions where did you get the dataset? and do you have the dataset ready?. But before you use the code be sure to understand the workings of semantic image segmentation architectures. The repo is implemented in Pytorch which is in the python language.
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
What are some alternatives?
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
torch-metrics - Metrics for model evaluation in pytorch
ttach - Image Test Time Augmentation with PyTorch!
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
torchio - Medical imaging toolkit for deep learning
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
torch-points3d - Pytorch framework for doing deep learning on point clouds.
Implicit-Internal-Video-Inpainting - [ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
cresset - Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.