SemanticSegmentation
Robo-Semantic-Segmentation
| SemanticSegmentation | Robo-Semantic-Segmentation | |
|---|---|---|
| 1 | 1 | |
| 166 | 0 | |
| - | - | |
| 0.0 | 0.0 | |
| 7 months ago | over 3 years ago | |
| Python | Python | |
| MIT License | MIT License |
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SemanticSegmentation
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.
What are some alternatives?
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
torch-metrics - Metrics for model evaluation in pytorch
HDF5ImageMarker - Utility to making datasets of images and points coordinates that have been marked up on these images by user
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
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
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/