Learn how to train your own OpenCV Haar classifier

Vehicle Detection by Haar Cascades with OpenCV

Feature Detection based on Haar Cascades in JavaScript (Viola-Jones-Lienhart et al Algorithm)

A Discrete Fourier Transform (DFT), a Fast Wavelet Transform (FWT), and a Wavelet Packet Transform (WPT) algorithm in 1-D, 2-D, and 3-D using normalized orthogonal (orthonormal) Haar, Coiflet, Daubechie, Legendre and normalized biorthognal wavelets in Java.

Real Time Detection and Classification of Vehicles and Pedestrians Using Haar Cascade Classifier

The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.

A nefarious browser extension that easily bypasses the haaretz{.co.il,.com} paywall

An imageclipper intended for using when creating OpenCV haar cascade sample images.

A complete collection of Haar-Cascade files. Every Haar-Cascades here!

haar + adboost, cnn,识别国内20多家银行的20多种银行卡，支持凸面和平面印刷字体

Authors' implementation of my SIGGRAPH Asia 2019 Technical Briefs (The Power of Box Filters: Real-time Approximation to Large Convolution Kernel by Box-filtered Image Pyramid) demo I (just for reference). A very fast approximation to large-kernel Gaussian blur with nonuniform blur radii, by making use of box-filtered mip maps V-cycle (theoratically related to Haar wavelet tranforms). The mathematical model can be found in the PDF file.

HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles (CVPR 2024)

Tutorial of OpenCV haartraining (Not maintained, new maintainer is wanted)

Blur Detection of Digital Images using Haar Wavelet

A Python-based computer vision application using OpenCV and Haar Cascades to detect faces and eyes in real-time with custom user-labeling features.

Facial Expression Recognition Using CNN and Haar-Cascade

本科毕业设计 基于Haar特征与AdaBoost算法的人脸检测的实现

Simple Hand Gesture Detection using Haar Cascades

OpenCV Haar classifier trained to detect the rear end of cars on the road. Useful for analyzing dashcam footage.

Detection of different body parts using Haar-like features

Face Recognition/Detection (image/video) using skin tone threshold algorithm, haar cascade for face detection and LBPH for face recognition. It also implements the concept of multithreaded server with multiple clients.

A convolution neural network with SE block and haar wavelet block for Chinese calligraphy styles classification by TensorFlow.(Paper: A novel CNN structure for fine-grained classification of Chinesecalligraphy styles)

An implementation of face detection and tracking on the dji Tello drone based on a HAAR Cascade using OpenCV and Python 3.6

Viola Jones Haar-Cascade on iOS+Metal

Collection of HAAR and LBP cascades designed to recognize various street signs

The Haar wavelet-based perceptual similarity index (HaarPSI) is a similarity measure for images that aims to correctly assess the perceptual similarity between two images with respect to a human viewer.

A repository of minified HAAR and LBP cascades. The performance is identical to OpenCV cascades but the file sizes are way smaller.

DECS-Net: with Haar wavelet-based attention

features extraction；artificial features；hog；haar；lbp；sift；softnms

🖼️ This is a HAAR Cascade Classifier training GUI application for Linux. This application make it really easy to train classifiers for object detection and tracking using opencv by providing a Graphical user interface to set parameters and perform necessary steps.