Author: Deep Learner

Guide

Developer guide for Hivecoin project

Developer guide for Hivecoin project. Install Content are writen in reStructuredText (RST) and rendered with Sphinx. Much of the content displayed on the is converted from Markdown toreStructuredText (RST) and renderedwith Sphinx. Render the documentation locally To render the documentation locally you first need to install Sphinx and therequired theme modules, e.g. by running pip install -r requirements.txt This should be done from the root of this repo. Then you can execute Sphinx by calling This will generate HTML from […]

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PyTorch

SSD-based Object Detection in PyTorch

서강대학교 현대모비스 SW 프로그램에서 진행한 인공지능 프로젝트입니다. Jetson nano를 이용해 pre-trained network를 fine tuning시켜 차량 및 신호등 인식을 구현하였습니다. https://www.youtube.com/watch?v=jYsIBuAgdao This repo implements SSD (Single Shot MultiBox Detector) in PyTorch for object detection, using MobileNet backbones. It also has out-of-box support for retraining on Google Open Images dataset. For documentation, please refer to Object Detection portion of the Hello AI World tutorial:Re-training SSD-Mobilenet Thanks to @qfgaohao for the upstream implementation from: https://github.com/qfgaohao/pytorch-ssd GitHub View Github    

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Automation

AWS EC2 S3 Automated With python

This programme is a Python3 script that utilizes Boto3 to automate the process of creating an AWS EC2 instance with an Apache web server installed on it and a S3 bucket configured for static web hosting. This script is designed for use in a Linux based operating system. This script only requires one other file to run successfully; the pre-built index.html page included in this repository. Upon completetion, the script will have launched the Apache web sebver, which will be […]

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Wrapper

Plazmix API wrapper for Python

An optimised, easy to use Plazmix API wrapper written in Python Features: Async and sync wrappers Using ujson instead of json for performance Regular updates Completely covers the Plazmix API Users Modes Online Metrics Moderator alerts News …and other more! Installing Important: Python 3.9 or higher is required To install the library you can just run the following command: Linux: # Linux/MacOS pip3 install plazmixapi Windows: python -m pip install plazmixapi OR pip install plazmixapi    

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Heatmap

Sky attention heatmap of submissions to astrometry.net

Installation Requires Python 3.6+, Tested with Python 3.9.5 Install library dependencies pip install -r requirements.txt The program requires the following .csv file to be extracted into this folder: http://broiler.astrometry.net/~dstn/temp/wcs.csv.gz Usage python main.py The plot is saved to the current directory as .png and shown in a matplotlib window. GitHub View Github    

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Scripts

A query extract python package

Made with Python3 (C) @FayasNoushad Copyright permission under MIT License License -> https://github.com/FayasNoushad/Query-Extract/blob/main/LICENSE Installation pip install Query-Extract Usage import query_extract link = “https://github-readme-stats.vercel.app/api?username=FayasNoushad&theme=tokyonight” print(query_extract.extract(link)) # returns :- “”” { “username”: “FayasNoushad”, “theme”: “tokyonight” } “”” data = { “username”: “FayasNoushad”, “theme”: “tokyonight” } print(query_extract.stringify(data)) # => username=FayasNoushad&theme=tokyonight GitHub – FayasNoushad/Query-Extract at pythonawesome.com A query extract python package. Contribute to FayasNoushad/Query-Extract development by creating an account on GitHub. GitHubFayasNoushad    

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OpenCV

A hobby project which includes a hand-gesture based virtual piano using a mobile phone camera and OpenCV library functions

This is a hobby project which includes a hand-gesture controlled virtual piano using an android phone camera and some OpenCV library. My motivation to initiate this project is two fold. I always felt the urge to be able to play piano since my childhood but huge instrumental costs barred my way. This is true for most of the musical instruments which are often very costly. I thought of putting my recently acquired computer vision skills to practice and make virtual […]

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