MiVOS
Robo-Semantic-Segmentation
MiVOS | Robo-Semantic-Segmentation | |
---|---|---|
2 | 1 | |
448 | 0 | |
- | - | |
4.6 | 0.0 | |
about 2 months ago | over 3 years ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MiVOS
-
Free instance segmentation annotation tool
Mivos, you'll get assisted by a deep learning model https://github.com/hkchengrex/MiVOS
-
Deploying video object segmentation at scale in a day
We've been building a ton of infrastructure to process a lot of video data very quickly at Sieve, and video object segmentation is a cool task a lot of companies have used us for. Models like MiVOS and PointRend have made it possible for companies like RunwayML to build these ML-based video editing features like green screen. We wrote about how you might go about building this yourself in a day.
Robo-Semantic-Segmentation
-
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?
make-sense - Free to use online tool for labelling photos. https://makesense.ai
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
torch-metrics - Metrics for model evaluation in pytorch
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
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)
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.