A template respository for creating a project that uses typescript and vercel ncc
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Updated
May 22, 2024 - TypeScript
A template respository for creating a project that uses typescript and vercel ncc
Use WTM to write .netcore app fast !!!
Prebundle 3rd party dependencies, output a single js file, a package.json file and the dts files.
List and write the municipalities of Philippines provinces or regions into JSON files from PAGASA 10-Day weather forecast excel files
Resolution of the normalized cross-correlation problem using the hybrid Evolutionary Pollination algorithm (mix of the Flower Pollination and Differential Evolution algorithms)
An utility function for bundling Node.js single executable applications.
C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"
...lego-like instructions for building an off-grid #earthship in australia...
A tool for image comparison using histograms and Normalized Cross-Correlation (NCC). Compares two specific images, revealing their similarity through metrics like histogram intersection, correlation, chi-square, Bhattacharyya distance, and NCC. Useful for various image analysis tasks.
🔨 Workarounds and implementations of different TypeScript runtimes across multiple compilers.
fast, high peformance image processing library for golang
Super Adobe CodeMark and Performance Solutions
This project demonstrates bundling TypeScript code to ES Modules.
Github action to autodeploy a client-side app to https://surge.sh
Stereo-image depth reconstruction with different matching costs and matching algorithms in Python using Numpy and Numba
🧠 Monitoring tool that provides intelligence on potential security threats by tracking assets and analyzing data.
A web application that use python script for image processing such as Extract the unique features in all images using Harris operator and λ-, Generate feature descriptors using scale invariant features(SIFT) and Match the image set features using sum of squared differences (SSD) and normalized cross correlations (NCC).
Programming assignments completed for my Computer Vision course: Topics include Image Layering, Feature Extracting and Matching, SIFT, Camera Matrix estimations, and Deep Learning (FCNs, ANNs, CNNs).
Add a description, image, and links to the ncc topic page so that developers can more easily learn about it.
To associate your repository with the ncc topic, visit your repo's landing page and select "manage topics."