A human classifier using HOG feature extraction and KNN clustering.

Image classification with kernel methods

Comparison of different face detection algoritms (in python) tested on realworld footage, but a the face was printed on paper.

DiagnoX is an open source project dedicated to diagnosing rare diseases. The original code is designed and specialized towards

Car recognition using no Deep Learning (so mainly using Histogram of gradient(HOG))

Final Electronic Engineering project

Few computer vision algorithms implemented in Python for university course.

Vehicle Detection Project

Objec Detection With Pytorch YOLO-V3

OpenCV Human Detection using HOG descriptor

このリポジトリは、顔検出および特徴量抽出のための様々な Python スクリプトを含んでいます。各スクリプトは異なるアルゴリズムや手法を使用しており、簡単に実行できるようになっています。

🖐 An implementation of a machine learning model for detecting and recognizing hand signs (0-5) accurately using Python. The project pipeline involves the following modules: Preprocessing, Feature Extraction, Model selection and training, and finally performance analysis.

Utilizing Histogram of Oriented Gradients (HOG) feature extraction and linear SVM to detect vehicles with sliding window search.

Numpy Implementation of classic computer vision feature extraction algorithm.

This is a simple implementation of the HOG algorithm

🚗 A car detection model using traditional machine learning (SVM) with a simple GUI to test the model

Pre-trained custom HOG detector for Cozmo cubes on greater distance