Vehicle detection on images and video for Self-Driving Car Engineer Nanodegree program
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Updated
Feb 5, 2017 - Python
Vehicle detection on images and video for Self-Driving Car Engineer Nanodegree program
Pre-trained custom HOG detector for Cozmo cubes on greater distance
Detect Vehicles and Pedestrians and Objects on Road
Detecting vehicles in images using HOG features and SVM
Udacity vehicle detection project. Use HOG features and SVM to detect vehicles
Udacity Self Driving Car Engineer Nanodegree Project 5 Vehicle Detection
It, shoes? It's a demo project to use both traditional computer vision methods and deep learning to detect and recognize shoes based on shoes7k dataset
A Javascript/Python script collection to assist with creating bounding boxes and cropping images for use with a HOG classifier
Vehicle detection in dash cam video
pedestrian detection using GMM and HOG
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.
Compare different HOG descriptor parameters and machine learning algorithms for Image (MNIST) classification
Utilizing Histogram of Oriented Gradients (HOG) feature extraction and linear SVM to detect vehicles with sliding window search.
Udacity Self Driving Car Nanodegree - Vehicle Detection
HOG + SVM classifier for Object Detection + OpenCV + Python 3.6
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