PixelLib VS PaddleSeg

Compare PixelLib vs PaddleSeg and see what are their differences.

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. (by PaddlePaddle)
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PixelLib PaddleSeg
3 17
1,013 8,253
- 2.2%
0.0 7.4
7 months ago 9 days ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

PixelLib

Posts with mentions or reviews of PixelLib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-29.

PaddleSeg

Posts with mentions or reviews of PaddleSeg. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing PixelLib and PaddleSeg you can also consider the following projects:

Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.

sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Ultra-Fast-Lane-Detection - Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

FasterRCNN - Clean and readable implementations of Faster R-CNN in PyTorch and TensorFlow 2 with Keras.

segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.

rembg-greenscreen - Rembg Video Virtual Green Screen Edition

YOLOP - You Only Look Once for Panopitic Driving Perception.(MIR2022)

mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation

OneFormer - OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023

fashion-segmentation - A tensorflow model for segmentation of fashion items out of multiple product images

HFT - [ICRA 2023] Official Pytorch implementation for HFT