Kamran khan's Projects
Annotation File Converter is a GitHub repository that includes Python-based conversion scripts to convert annotations from one format to another.
This repository contains a JavaScript script aimed at preventing session timeouts during long-running processes.
We will learn everything needed to get started with OpenCV in Python in this repository. We shall begin from scratch and move forward, by the end of the course, you will be familiar with OpenCV's fundamental concepts and have applied a variety of methods to tackle practical computer vision challenges.
I have uploaded all the tasks which i have done during Data Science & Business Analytics Intern at the Sparks Foundation for batch #GRIPSEP21
In this repository, I will upload a modified application based on NVIDIA-AI-IOT's deepstream_python_apps repository. It provides valuable resources for DeepStream Python apps and bindings, which can be accessed through the official repository and documentation.
FlaskBankMarketingClassifier is a simple web application demonstrating end-to-end ML project development with Flask, including data preprocessing, model training, and deployment on cloud platforms. Explore and learn how to build and deploy your own ML projects with Flask using popular cloud providers.
This repository is designed to provide you a comprehensive introduction to both Git and GitHub
This concise guide helps you install CVAT (Computer Vision Annotation Tool) on Windows. Ideal for developers and CV enthusiasts, it offers step-by-step instructions for a hassle-free setup. Enhance your computer vision projects with ease! 🚀👁🗨
I have uploaded all the tasks which i have done during IoT and Computer Vision-internship at the Sparks Foundation, batch #GRIPMAR22
Config files for my GitHub profile.
Complete road map implementation of NLP
ProblemSolving is a repo with HackerRank problem solutions covering algorithms, data structures, etc. It's a great reference for efficient and readable solutions, suitable for beginners and experienced developers.
This repository contains a guide for installing the TAO Toolkit and DeepStream, including examples, configuration files, and troubleshooting tips.
This repository contains a comprehensive guide and accompanying notebook for installing and configuring MySQL Server on Ubuntu. The step-by-step instructions cover MySQL installation, service management, secure configuration, and common tasks. Use this resource to quickly set up a MySQL database on your Ubuntu system.
This script will guide you through the installation of PostgreSQL, user and database configuration, and the installation of pgAdmin using the official repository
This repository provides step-by-step guide on how to view Hikvision CCTV camera feeds on Ubuntu using the Firefox web browser. The guide explains the process of setting up Wine to run Firefox and emulating Internet Explorer to access the camera's web interface.
WebCameraStreamFlaskApp is a Flask-based application that captures frames from a web camera and streams them in real-time to a web page. It uses OpenCV for camera integration, providing a straightforward solution for displaying live video feeds. This repository includes the code and resources needed to set up the application quickly.
yolo model qat and deploy with deepstream&tensorrt
This repository provides instructions for installing the necessary libraries, configuring the YOLOv3 algorithm, training a custom object detector, and evaluating the performance of the model. It also includes sample datasets and annotations to help users get started quickly. With this repository, users can implement custom object detection systems.
The "YOLOv4 Custom Object Detection" Github repository provides a comprehensive guide and code for training a custom object detection model using the YOLOv4 algorithm.
This repository includes all the necessary code and scripts to train your own custom object detection model using YOLOv5. The repository contains detailed instructions and documentation to guide you through the process of data preparation, training, evaluation, and inference.