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

Convolutional Autoencoder for Loop Closure

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

HOG feature extractor with simple python implementation

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

Face detection implementation with different methods and applications

Object detector from HOG + Linear SVM framework

Person Detection using HOG Feature and SVM Classifier

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

Python module for face recognition with OpenCV and Deep Learning.

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

Attendance System using Face Recognition (HOG)

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

HOG implementation for pedestrian detection.

🖐 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.

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.

Few computer vision algorithms implemented in Python for university course.

🖐 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.