computer-vision's Introduction

Coputer-Vision

I am currently working with computer vision with an ultimate goal of building a sign language trainslator

NB: I am using better comment extension, this might make some of my comments seem wired to you

Progress so far:

The learing process is really interesting, these are what I have accomplish:

A blue Screen minipulator script screen that removes the blue screen from an image and replaces it with another background
A green screen minipulator script similar to that of the blue screen
A colour selection script (currently for pink)
A day and Night image classifier that uses the H and V channel to classify the image, currently at 97.5% accuracy
Created an edge detection script that implemented fourier transform
Created a high pass filter for detecting edges. The filter takes in a Karnel and a gray image and then returns a binary edged image
Implemented low pass filter
Implemented Canny Edge Detection
Implenented shape detection using Hough transformation
Built a face detector using Haar Cascades
Studies feature detection and wrote some sample codes for contouring, corner detection and segmentation using K-mean
Learnt about the ORB algorithm and how to implement OpenCV's version of the algo for image recognition
Learnt about HOG algorithm
Learn about CNN and implemented a simple CNN using PyTorch
Exploring the FashionMNIST Data Set
Explored Single Shot Detector (SSD) and MobileNets for object detection

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