diffseg
PixelLib
| diffseg | PixelLib | |
|---|---|---|
| 1 | 3 | |
| 220 | 1,018 | |
| 9.1% | - | |
| 5.5 | 0.0 | |
| 17 days ago | 8 months ago | |
| Jupyter Notebook | 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.
diffseg
PixelLib
- YOLOv6: Redefine state-of-the-art for object detection
-
To separate objects detected from a video using PixelLib
This is the code, found from the reference here.
- New Project In Computer Vision For Beginner
What are some alternatives?
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
image-background-remove-tool - ✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.
ttach - Image Test Time Augmentation with PyTorch!
rembg-greenscreen - Rembg Video Virtual Green Screen Edition
PaddleViT - :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation
fashion-segmentation - A tensorflow model for segmentation of fashion items out of multiple product images
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.