Human-Segmentation-PyTorch VS PixelLib

Compare Human-Segmentation-PyTorch vs PixelLib and see what are their differences.

Human-Segmentation-PyTorch

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch (by thuyngch)
semantic-segmentation Deep Learning Pytorch portrait-segmentation Unet deeplab bisenet pspnet icnet human-segmentation
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PixelLib

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/ (by ayoolaolafenwa)
Computer Vision Machine Learning Artificial intelligence image-segmentation semantic-segmentation instance-segmentation video-segmentation deeplab Deeplearning maskr-cnn Tensorflow Deep Learning pointrend Pytorch convolutional-neural-networks Segmentation object-detection
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Human-Segmentation-PyTorch PixelLib
1 3
533 1,016
- -
0.0 0.0
over 1 year ago 7 months ago
Jupyter Notebook Python
- MIT License
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.

Human-Segmentation-PyTorch

Posts with mentions or reviews of Human-Segmentation-PyTorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-30.

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.

What are some alternatives?

When comparing Human-Segmentation-PyTorch and PixelLib you can also consider the following projects:

unet - unet for image segmentation

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

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

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

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

rembg-greenscreen - Rembg Video Virtual Green Screen Edition

Vision-Project-Image-Segmentation

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

JejuNet - Real-Time Video Segmentation on Mobile Devices with DeepLab V3+, MobileNet V2. Worked on the project in 🏝 Jeju island

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

rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation

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.

Human-Segmentation-PyTorch vs unet PixelLib vs sahi Human-Segmentation-PyTorch vs Deep-Learning-In-Production PixelLib vs FasterRCNN Human-Segmentation-PyTorch vs HugsVision PixelLib vs rembg-greenscreen Human-Segmentation-PyTorch vs Vision-Project-Image-Segmentation PixelLib vs mask-rcnn Human-Segmentation-PyTorch vs JejuNet PixelLib vs fashion-segmentation Human-Segmentation-PyTorch vs rankseg PixelLib vs PaddleSeg