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2d-feature-tracking

This repo consist of my project based on Udacity Sensor Fusion Nanodegree on 2D Image Feature tracking

3d-object-tracking

LiDAR-Camera Fusion Time to collision(TTC) and object tracking.

another-neural-style-transfer-

Based on Coursera deeplearning.ai

computer-vision-nd

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

dmine

A simple and easy to use social media webscraper.

face-recognition-facenet-

Face recognition via Siamese Network

lidar-obstacle-detection

LiDAR obstacle detection using Voxel Grids, RANSAC, Euclidean Clustering with Kd-Tree in C++ using PCL.

neural-amp-modeler

Neural network emulator for guitar amplifiers.

pytorch-superpoint

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

radar-target-generation-and-detection

Matlab, FFT, 2D-FFT, CFAR

self_driving_car_nd

This repo contains my list of projects completed throughout my Nanodegree program

senet

Reimplementation of image classification model Squeeze-n-Excite Net

sfnd-3d-object-tracking

This project is part of the udacity nanodegree for sensor fusion. Its goal is to do 3D object trackng and calculating time to collision with preceding vehicles using both lidar and camera fusion. OpenCV library is used to implement this project in C++.

sfnd_2d_feature_tracking

transfer-learning

Using CNN as feature extractor

udacity-cpp-nanodegree

yet-another-yolo

Car detection using YOLO based on Coursera DeepLearning.ai