MiVOS
PixelLib
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| MiVOS | PixelLib | |
|---|---|---|
| 2 | 3 | |
| 432 | 984 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 months ago | about 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | 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
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Free instance segmentation annotation tool
Mivos, you'll get assisted by a deep learning model https://github.com/hkchengrex/MiVOS
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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.
PixelLib
What are some alternatives?
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation
FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.
fashion-segmentation - A tensorflow model for segmentation of fashion items out of multiple product images
rembg-greenscreen - Rembg Video Virtual Green Screen Edition
PaddleSeg - Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
yolact - A simple, fully convolutional model for real-time instance segmentation.
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline