OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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Updated
May 22, 2024 - C++
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
使用retinaface完成车牌关键点检测,并在tensorRT下部署
使用ONNXRuntime部署DeDoDe:"局部特征匹配:检测,不要描述——描述,不要检测"。依然是C++和Python两个版本的程序
ZED SDK Example projects
WACV 2023: Centroid Distance Keypoint Detector for Colored Point Clouds
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.
Testing various detector / descriptor combinations to see which ones perform best to be used in a collision detection system. Also 2 different approaches (FLANN vs. Brute-force with the descriptor distance ratio test) for keypoints matching are tested.
Compute time-to-collision (TTC) using Lidar and Camera sensors. Identify suitable keypoint detector-descriptor combinations for TTC estimation.
Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).
Final Project of Computer Vision Exam (A.Y. 2022/2023) from Prof. Zanuttigh
Minimal-dependency Computer Vision & Image Processing library built in C++17.
Feature tracking using keypoints and descriptors
Keypoint-matching (AKAZE method) using OpenCV library
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