myselfbasil
Student at Karunya Institute of Technology and Sciences
Karunya Institute of Technology and SciencesKarunya Nagar, Coimbatore
Pinned Repositories
Ceaser-Cypher
DeepStream-Yolo
NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
Guide-to-Flash-Eagle-Board
This repository is a step-by-step guide designed to help beginners properly flash the Eagle Board. It provides detailed instructions and necessary resources to ensure a smooth and successful flashing process. The Notion website for this documentation is given below:
Guide-to-Load-and-Run-PeopleNet-Deepstream-7.0-Model
This repository serves as a beginner's guide to properly load and run DeepStream v7.0 models.
Guide-to-Run-BodyPose3D-Deepstream-v7.0-Model
This repository offers a comprehensive guide for beginners to successfully run the BodyPose3D model using DeepStream v7.0. It provides detailed steps and resources to help users set up, execute, and optimize the model for accurate 3D body pose estimation.
Integration-of-YOLOv7-Model-with-Deepstream-v7.0
This repository provides a comprehensive guide for integrating the YOLOv7 model with DeepStream v7.0. It includes step-by-step instructions and resources to help users set up, deploy, and optimize the model for efficient object detection.
Introduction-to-C-in-Linux
This document serves as a comprehensive guide to understanding the C programming language within the Linux operating system. It covers fundamental concepts, tools, and practices that are essential for developing efficient and effective C applications in a UNIX-like environment.
Lung_Nodule_Segmentation
This repository contains the deployment of a trained lung nodule segmentation model using YOLOv8 and RetinaNet architectures.
myselfbasil
Speaker-Diarization-and-Audio-Segmentation-Project
The Objective of this project is on Audio Diarization and Speaker Classification
myselfbasil's Repositories
myselfbasil/Integration-of-YOLOv7-Model-with-Deepstream-v7.0
This repository provides a comprehensive guide for integrating the YOLOv7 model with DeepStream v7.0. It includes step-by-step instructions and resources to help users set up, deploy, and optimize the model for efficient object detection.
myselfbasil/Speaker-Diarization-and-Audio-Segmentation-Project
The Objective of this project is on Audio Diarization and Speaker Classification
myselfbasil/Ceaser-Cypher
myselfbasil/DeepStream-Yolo
NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
myselfbasil/Guide-to-Flash-Eagle-Board
This repository is a step-by-step guide designed to help beginners properly flash the Eagle Board. It provides detailed instructions and necessary resources to ensure a smooth and successful flashing process. The Notion website for this documentation is given below:
myselfbasil/Guide-to-Load-and-Run-PeopleNet-Deepstream-7.0-Model
This repository serves as a beginner's guide to properly load and run DeepStream v7.0 models.
myselfbasil/Guide-to-Run-BodyPose3D-Deepstream-v7.0-Model
This repository offers a comprehensive guide for beginners to successfully run the BodyPose3D model using DeepStream v7.0. It provides detailed steps and resources to help users set up, execute, and optimize the model for accurate 3D body pose estimation.
myselfbasil/Introduction-to-C-in-Linux
This document serves as a comprehensive guide to understanding the C programming language within the Linux operating system. It covers fundamental concepts, tools, and practices that are essential for developing efficient and effective C applications in a UNIX-like environment.
myselfbasil/Lung_Nodule_Segmentation
This repository contains the deployment of a trained lung nodule segmentation model using YOLOv8 and RetinaNet architectures.
myselfbasil/myselfbasil
myselfbasil/myselfbasil.github.io
myselfbasil/Naval_Hackathon_2024
myselfbasil/Rainfall_Data_Analysis
myselfbasil/Training-a-Custom-Model-with-TAO-Toolkit-Using-Indian-Driving-Dataset
This guide details training a custom model using NVIDIA's TAO Toolkit with the Indian Driving Dataset (IDD) and DetectNet_v2. It covers setting up the environment, dataset preprocessing, correcting label errors, augmenting images and bounding boxes, and configuring files for training. Finally, it runs the training process and evaluates the model.
myselfbasil/Training-a-Custom-Model-with-TAO-Toolkit-Using-the-Indian-Driving-Dataset.
This guide explains how to set up a project with the TAO Toolkit, including dataset preparation, environment configuration, and model training using the Indian Driving Dataset (IDD). It also covers image augmentation and adapting the training files for custom requirements.
myselfbasil/yolov7_fd
Project AI in Robotics