nilani-rangika

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Computer-Vision---Object-Detection-in-Python

Object detection (faces, humans, cars) using OpenCV in Python

darknet

Convolutional Neural Networks

deeplearning

Disaster-Tweet-Classification

doi

doi generation for a bibtex file

Mask-RCNN-series

This series we'll use Mask RCNN

nilani-rangika.github.io

textprocessing

Phase 3

Traffic-Flow-from-Footage

nilani-rangika/Traffic-Flow-from-Footage

nilani-rangika/academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

nilani-rangika/Computer-Vision---Object-Detection-in-Python

Object detection (faces, humans, cars) using OpenCV in Python

nilani-rangika/darknet

Convolutional Neural Networks

nilani-rangika/deeplearning

nilani-rangika/Disaster-Tweet-Classification

nilani-rangika/doi

doi generation for a bibtex file

nilani-rangika/Mask-RCNN-series

This series we'll use Mask RCNN

nilani-rangika/nilani-rangika.github.io

nilani-rangika/textprocessing

Phase 3

nilani-rangika/traffic-detection-dataset

nilani-rangika/Yolo-Vehicle-Counter

YoLo is a CNN architecture which specialize in object detection. I am using tutorial from https://www.pyimagesearch.com/2018/11/12/yolo-object-detection-with-opencv/ to develop my own modification. This project aims to count every vehicle(motorcycle, bus, car, cycle, truck) detected in the input image/video.