PixelLib
fashion-segmentation
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PixelLib | fashion-segmentation | |
---|---|---|
3 | 1 | |
1,008 | 33 | |
- | - | |
0.0 | 0.0 | |
7 months ago | over 1 year ago | |
Python | Python | |
MIT License | - |
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PixelLib
- YOLOv6: Redefine state-of-the-art for object detection
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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
fashion-segmentation
What are some alternatives?
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
pix2pix - This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
SEAM-Match-RCNN - Official code of paper: MovingFashion: a Benchmark for the Video-to-Shop Challenge
FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.
Entity - EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
rembg-greenscreen - Rembg Video Virtual Green Screen Edition
mmfashion - Open-source toolbox for visual fashion analysis based on PyTorch
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.