Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
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Updated
Jun 10, 2023 - Python
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
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
Detecting Cars in real time and identifying the speed of cars and tracking
Python module for face recognition with OpenCV and Deep Learning.
Person Detection using HOG Feature and SVM Classifier
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.
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.
🖐 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.
🖐 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.
Few computer vision algorithms implemented in Python for university course.
Numpy Implementation of classic computer vision feature extraction algorithm.
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