This repository contains my exercises and projects for the Computer-Vision-Nanodegree at Udacity.
This repositary contain all my exercises and projects of Udacity Computer Vision Nanodegree Program
Facial Keypoint Detection Project
In this project, I build a facial keypoint detection system. The system consists of a face detector that uses Haar Cascades and a Convolutional Neural Network (CNN) that predict the facial keypoints in the detected faces. The facial keypoint detection system takes in any image with faces and predicts the location of 68 distinguishing keypoints on each face.
Some results from my facial keypoint detection system:
The Udacity repository for this project: P1_Facial_Keypoints
In this project, I design and train a CNN-RNN (Convolutional Neural Network - Recurrent Neural Network) model for automatically generating image captions. The network is trained on the Microsoft Common Objects in COntext (MS COCO) dataset. The image captioning model is displayed below.
One good and one not so good sample made by my model:
The Udacity repository for this project: CVND---Image-Captioning-Project
In this project, I implement SLAM (Simultaneous Localization and Mapping) for a 2-dimensional world. Sensor and motion data gathered by a simulated robot is used to create a map of an environment. SLAM gives us a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, etc.
The Udacity repository for this project: Project_Landmark Detection
