I built and planned this little JavaScript demo application for Browser Support. First of all, I analyzed the market to find which resources I can use to find out which feature is supported by which browser and which market share that feature has. Then, I used different techniques: feature detection with fallback code, manual polyfills and Babel.

This Python code utilizes OpenCV to detect and draw circles in an image. It applies grayscale conversion and median blur to reduce noise, then employs the Hough Circle Transform for circle detection. Detected circles are highlighted in red on the image.

Adds a Modernizr build to your Nuxt.js app.

Gulp plugin to generate a custom Modernizr build.

Computer Vision Classes 2017

(was) Temporary testing space for SOC leeds.

The purpose of a feature, other than being an attribute, would be much easier to understand in the context of a problem. A feature is a characteristic that might help when solving the problem. Discover the most effective way to improve your models.

Coding used to process drone-captured Near-Infrared Images into Normalised Differential Vegetation Index (NDVI) greyscale images which are then further processed using both a segmentation of ndvi around the tomb region followed by a contour overlay in the perimeter of the tombs. Version 2 uses a standard contour, Version 4 is an attempt, with li…

does this JavaScript environment conform to DOM 4?

Lasso regression for classification and salient feature identification.

Tracking the key point feature in preceding vehicle using Computer vision.

Classifying buildings in Poznan.

Feature tracking module to evaluate various detector / descriptor combinations for autonomous vehicle collision detection system.

Gulp plugin for moderznir, Wezom studio version

Python code to stabalize a video using motion compensation.

Create a readable stream that emits Modernizr code

A JavaScript plugin that detects the client device's support capabilities of several APIs like touch, game pad etc.

Browser Technologies 💻

Sequential frame feature tracking for autonomous vehicle

cv/opencl learning project