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
Computer Vision: Vehicle Detection
Identify vehicles in a video from a front-facing camera on a car using computer vision and machine learning classification techniques.
Vehicle detection in dash cam video
Draw bounding boxes for detect vehicles in a video using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM).
Supervised Classification using Python, SVM, HOG, Jupyter, Anaconda, AWS, Ubuntu
Comparison of vehicle detection using color/HOG features and LeNet-5
This repository contains all my work from Computer Network Lab
This is an Example Storing user data in Sqlite Database and fetching data using listview By Using TabLayout
Detecting vehicles using HOG features and SVM
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Sliding window protocol using paper.js
Object Detection with cars
It is STOP AND WAIT Protocol in python. With minute changes you can use it for Selective Repeat and GO -Back N Protocol.
Use a Histogram of Oriented Gradients (HOG), Spatial Binning of Color, Histograms of Color, a Linear Support Vector Machine and multi-scale sliding windows for vehicle detection and tracking
Solutions to all the homework assignments with my experiments as well
TCP file transfer using UDP socket and implementation of sliding window.
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