pytorch-segmentation VS PixelLib

Compare pytorch-segmentation vs PixelLib and see what are their differences.

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pytorch-segmentation PixelLib
1 3
1,571 1,016
- -
6.7 0.0
about 1 month ago 7 months ago
Jupyter Notebook Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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pytorch-segmentation

Posts with mentions or reviews of pytorch-segmentation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-25.
  • Any luck training Segnet?
    2 projects | /r/learnmachinelearning | 25 May 2023
    So I have read the paper on segnet and understood its architechture, and how the corresponding model has been written on the segnet.py file. I have a dataset and segmentation masks (in PNG). I came across the code given in this repo: https://github.com/yassouali/pytorch-segmentation

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 pytorch-segmentation and PixelLib you can also consider the following projects:

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

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

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

STEGO - Unsupervised Semantic Segmentation by Distilling Feature Correspondences

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

Subway-Station-Hazard-Detection - This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.

rembg-greenscreen - Rembg Video Virtual Green Screen Edition

super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

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.