Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

HOG feature extractor with simple python implementation

Convolutional Autoencoder for Loop Closure

Face detection implementation with different methods and applications

Detects Pedestrians in images using HOG as a feature extractor and SVM for classification

Detecting Cars in real time and identifying the speed of cars and tracking

Histogram Of Oriented Gradients

Person Detection using HOG Feature and SVM Classifier

Vehicle detection on images and video for Self-Driving Car Engineer Nanodegree program

Detection algorithms and applications from famous papers; simple theory; solid code.

Attendance System using Face Recognition (HOG)

Compare different HOG descriptor parameters and machine learning algorithms for Image (MNIST) classification

Detect Vehicles and Pedestrians and Objects on Road

Recognizing Traffic signs from GTSRB dataset ||:red_circle:||:small_red_triangle:||:small_red_triangle_down:||

Udacity vehicle detection project. Use HOG features and SVM to detect vehicles

Several methods for detecting pedestrians either in images or in camera feed, using OpenCV and Python. With inspiration and code from Adrian Rosebrock's PyImageSearch blog.

Vehicle detection in dash cam video

This project used OpenCV HOG people detector to build an accurate and fast enough implementation to detect people in images and videos.

🖐 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.