🏞 A content-based image retrieval (CBIR) system
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Updated
Jul 7, 2022 - Python
🏞 A content-based image retrieval (CBIR) system
Artificial Intelligence Learning Notes.
Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
[DEPRECATED] Traffic sign detector and classifier that uses dlib and its implementation of the Felzenszwalb's version of the Histogram of Oriented Gradients (HoG) detector
Adaptive Real-Time Object Detection System with HOG and CNN Features
Detect eye blinks based on eye aspect ratio (EAR) introduced by Soukupová and Čech in their 2016 paper, Real-Time Eye Blink Detection Using Facial Landmarks.
Aggregated Channel Feature object detection in C++ and OpenGL ES 2.0 based on https://github.com/pdollar/toolbox
Histogram Of Oriented Gradients
HOG-based linear SVM for detecting vehicles (or any other object) in videos
Object detection using feature-based algorithms in Rust. Compiles to WebAssembly.
Term 1, Project 5 - Udacity Self Driving Car Nanodegree
Vehicle detection based on YOLO and SVM
This project uses Histogram of Oriented Gradients for pedestrian detection and Kalman Filter for tracking and prediction
使用HOG和SVM进行目标检测
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