quickvision
Computer Vision Library
A PyTorch-based computer vision library providing easy-to-use APIs and customizable models for faster training
An Easy To Use PyTorch Computer Vision Library
51 stars
5 watching
4 forks
Language: Python
last commit: over 1 year ago computer-visiondeep-learningpytorchpytorch-lightning
Related projects:
| Repository | Description | Stars |
|---|---|---|
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 openseg-group/openseg.pytorch | Provides a PyTorch implementation of several computer vision tasks including object detection, segmentation and parsing. | 1,191 |
 felixgwu/img_classification_pk_pytorch | A PyTorch project for comparing image classification models and facilitating quick experiment setup | 366 |
 alankbi/detecto | A Python package for building and deploying computer vision models with PyTorch | 614 |
 ben-louis/deep-image-analogy-pytorch | A Python implementation of an image analogy algorithm based on PyTorch. | 181 |
 woozzu/dong_iccv_2017 | An implementation of semantic image synthesis via adversarial learning using PyTorch | 145 |
 byungkwanlee/collavo | Develops a PyTorch implementation of an enhanced vision language model | 93 |
 luispedro/mahotas | A library of fast computer vision algorithms implemented in C++ for speed, operating over numpy arrays. | 855 |
 keras-team/keras-cv | Provides modular computer vision components compatible with various deep learning frameworks | 1,013 |
 eduardoleao052/js-pytorch | A JavaScript library that provides GPU-accelerated deep learning capabilities with automatic differentiation and neural network layers. | 1,093 |
 cmsflash/beauty-net | Provides a basic framework for training deep learning models on image classification tasks using PyTorch | 187 |
 anuragranj/back2future.pytorch | An implementation of unsupervised learning for multi-frame optical flow with occlusions using PyTorch. | 112 |
 truskovskiyk/nima.pytorch | Assesses and evaluates images using deep learning models | 335 |
 graal-research/poutyne | A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 572 |
 donnyyou/pytorchcv | A PyTorch-based framework for building and training deep learning models in computer vision. | 47 |