Chris Sharp's repositories
tensorflowiOS
A Real Time Object Detection application on iOS using Tensorflow and pre-trained COCO dataset models. Video frames are captured and inference is done locally using the provided mobilenet models. Both Swift and Objective-C projects.
DominantColors
This demonstrates how to find the dominant colors in an image. Included are Swift and command-line(cpp) samples. The command-line version outputs a PNG file of the palette and a PNG image quantized to the resulting palette. The Swift version uses an Objective-C Category to extend UIImage and Objective-C Bridging Header to expose the extension to Swift. A Camera preview allows the user to take a photo from which dominant colors are found.
CarND-Behavioral-Cloning
Self Driving Car Nanodegree Project 4
CarND-Advanced-Lane-Lines
Self Driving Car Nanodegree Project 2
CarND-Extended-Kalman-Filter
Self Driving Car Nanodegree project 5 - Extended Kalman Filter
CarND-LaneLines-P1
Self Driving Car Nanodegree project 1
CarND-Traffic-Sign-Classifier
Self Driving Car Nanodegree project 3 - Traffic sign classifier
Kidnapped-Vehicle-Project
Self Driving Car Nanodegree project 6 - Kidnapped-Vehicle-Project - Particle Filter
Path-Planning-Project
Udacity self-driving car nanodegree highway driving project