meetps/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
This project helps computer vision practitioners analyze images by automatically segmenting them. You provide an image, and it outputs a segmented image where each pixel is labeled with its corresponding object class (e.g., road, car, building). It's designed for researchers and engineers working with visual data who need to classify every pixel in an image.
3,411 stars. No commits in the last 6 months.
Use this if you need to perform semantic segmentation on images using various popular deep learning architectures.
Not ideal if you are looking for a simple, out-of-the-box solution without any programming or machine learning knowledge.
Stars
3,411
Forks
792
Language
Python
License
MIT
Category
Last pushed
Oct 11, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/meetps/pytorch-semseg"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related frameworks
MLSTRUCT/MLStructFP
Multi-unit floor plan dataset for architectural analysis and recognition
yassouali/pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
wkentaro/pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original...
fregu856/deeplabv3
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
MarvinTeichmann/MultiNet
Real-time Joint Semantic Reasoning for Autonomous Driving