Robo-Semantic-Segmentation
torch-points3d
| Robo-Semantic-Segmentation | torch-points3d | |
|---|---|---|
| 1 | 1 | |
| 0 | 179 | |
| - | - | |
| 0.0 | 0.0 | |
| over 3 years ago | over 2 years ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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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.
torch-points3d
What are some alternatives?
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TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch - Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
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.
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ttach - Image Test Time Augmentation with PyTorch!