Exercise notebooks for CVND.

Computer Vision Nanodegree program from Udacity

📷 Computer Vision Nanodegree Repository

This repo contains my completed Computer Vision projects & exercises from Udacity Computer Vision Nanodegree

Landmark Detection and Tracking (SLAM) project for CVND

Automatically produce captions given an input image, using a resnet 50 as the encoder and a custom defined Decoder RNN, basically by combining a CNN for feature extraction and an RNN

As one of the 300 scholars chosen among 6,000 from the first phase, "Secure and Private AI" by Facebook AI, I have earned a full scholarship to Udacity’s Computer Vision Nanodegree

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnorma…

Landmark Detection and Robot Tracking (SLAM) made with ❤️ in Pytorch

Landmark detection and tracking project for Computer Vision Nanodegree.

Image Captioning using CNN-RNN architecture made with ❤️ in Pytorch. Do 🌟 he repo if you find it useful 🚀

Projects of Udacity Computer Vision Nanodegree, project 1 - facial keypoint detection, project 2 - Image Captioning, project 3 - SLAM and extra curricular project on code optimization

Projects and Labs of the Udacity's "Computer Vision Nanodegree"

Computer Vision Nanodegree program from Udacity

A facial keypoint detection system that takes in any image with faces, recognizes and detects faces using Viola-Jones Algorithm, and predicts the location of 68 distinguishing key points on each face using a regression convolutional neural network.

Facial Keypoint Detection project for Computer Vision Nanodegree.

CNN-RNN image captioning project for Udacity's Computer Vision Nanodegree (CVND) program.