There are 2 repositories under keypoints-detector topic.
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
Full pipeline for TianChi FashionAI clothes keypoints detection compitetion in TensorFlow
Basic demo of Vector Field Consensus method for image keypoint matching
FSRK : Fast Spherical Retina Keypoint
WACV 2023: Centroid Distance Keypoint Detector for Colored Point Clouds
Code for "Learning a Descriptor-Specific 3D Keypoint Detector" and "Learning to detect good 3d keypoints" -ICCV 2015, IJCV 2018
Content-Based Image Retrieval System
This work generates 2D and 3D landmark labels from videos with only two or three uncalibrated, handheld cameras moving in the wild. NeurIPS 2022.
an implement for CenterNet by keras and tensorflow
Swap face between two photos.
Feature Tracking and testing of various keypoint detector/descriptor combinations, keypoint matching using Brute Force and FLANN approach.
This is SRHandNet demo source code written in python3
Code for FashionAI KeyPoint Detection Challenge
:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose on google colab
Facial keypoints detection using 15 landmark points on human face
human pose estimation based on pose tensorflow
A set of from-scratch MATLAB scripts for detecting Harris corners and edges
PyTorch data loader that crops persons (with their body landmarks) from COCO dataset.
Monitor Your Workout through a Webcam/IP Camera. No equipment is required, other than a camera and a laptop. This application could potentially replace a personal trainer, making it the idea app for workout.
Object detection
A simple and minimal posenet inference in python
Build the feature tracking part of a collision detection system, and test various combinations of keypoint detectors and descriptors to see which combinations perform best.
PyTorch-based toolkit for landmark detection
Keypoint Tracking and Matching in Autonomous Vehicles to measure TTC between consecutive frames of the KITTI Dataset
Estimating trajectory using RGB-D images
This project contains code and explanation behind the code for detecting 15# facial keypoints for a given face image (Kaggle dataset) using Multi Layer Perceptron in Julia.
3D object tracking using keypoint detection and feature matching, lidar point cloud data, and image classification using YOLO deep learning model.
Keypoint-matching (AKAZE method) using OpenCV library
The implementation of part of the ORB (Oriented FAST and Rotated BRIEF) pipeline. The ORB consists of the feature detector and feature descriptor that detect and describe reproducible and discriminative regions in an image. Those, in turn, can be matched between pairs of images for correspondence search, 3D reconstruction, and so on.
A new approach to multi-scale template matching using key-point matching and perspective-transformations