mdrokz Goto Github PK

followers: 41.0 following: 13.0 repos: 162.0 gists: 38.0

Name: mdrokz

Type: User

Company: @MakerStudio-io

Bio: Tech prodigy since age 15, mastering languages and tech. Secured job at 18, showcasing exceptional skills. Gamer, seeker of knowledge, and versatile programmer.

Location: India, Madhya Pradesh

Hey there im mdrokz! im a full stack software engineer based in MP, India 👋

🌱 I’m currently learning Rust

🔭 I’m currently maintaining https://github.com/atroche/rust-headless-chrome

⚡My gists - https://gist.github.com/mdrokz

💬 Ask me about Rust, Reverse Engineering, Game Development & DevOps

👯 I’m looking to collaborate on Game Jams, Open Source Projects & etc.

📖 Download my CV/Resume from here https://github.com/mdrokz/resume/releases/tag/0.1.2

Connect with me:

Don't hesitate to get in touch!

Languages and Tools:

Github Stats:

Hacktoberfest:

Profile Views

mdrokz's Projects

among_us_controller

translates controller calls to keyboard calls for among us game

ani_mobile

Mobile app for watching anime based on https://github.com/pystardust/ani-cli

appkit

A collection of helpful modules for building applications in Go

arochem_scraper

Scrape All Attars from https://arochem.com

async_executor

simple bare bones executor for async futures in rust.

Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.