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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.

Liver-Segmentation-with-AttentionUNet

Automatic Liver Segmentation of CT Volumes Using 2D Attention-UNet

EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

semantic-segmentation-pytorch

Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.

pytorch-FCN-easiest-demo

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

pytorch-nested-unet

PyTorch implementation of UNet++ (Nested U-Net).

simrdwn

Rapid satellite imagery object detection

DFM

Python (Pytorch) and Matlab (MatConvNet) implementations of CVPR 2021 Image Matching Workshop paper DFM: A Performance Baseline for Deep Feature Matching

PySIFT

Python SIFT (Scale Invariant Feature Transform) implementation

DeepMosaics

Automatically remove the mosaics in images and videos, or add mosaics to them.

GIFT

Code for "GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs" NeurIPS 2019

Key.Net

[ICCV 2019] Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters

rfnet

RF-Net: An End-to-End Image Matching Network based on Receptive Field

RFNet

RF-Net: A Unified Meta-Learning Framework for RF-enabledOne-Shot Human Activity Recognition

GraphLineMatching

The code for Robust Line Segments Matching via Graph Convolution Networks

matchnet

SuperGlue-pytorch

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.

pytorch-superpoint

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

universal-correspondence-network

A TensorFlow implementation of the Universal Correspondence Network paper.

lf-net-release

Code Release for LF-Net: Learning Local Features from Images

GCNv2_SLAM

Real-time SLAM system with deep features

open-ucn

The first fully convolutional metric learning for geometric/semantic image correspondences.

Imatch-P

A demo using SuperGlue and SuperPoint to do the image matching task based PaddlePaddle.

opencv_contrib

Repository for OpenCV's extra modules

WatershedSegmentation

Watershed segmentation algorithm using OpenCV

python-opencv-leaf-detection

Python-based OpenCV program for detecting leaves and creating segmentation masks based on images in the Komatsuna dataset.