yolo-nas

There are 34 repositories under yolo-nas topic.

  • naseemap47/YOLO-NAS

    Train and Inference your custom YOLO-NAS model by Single Command Line

    Language:Python10612816
  • srebroa/awesome-yolo

    :rocket: :star: The list of the most popular YOLO algorithms - awesome YOLO

  • nmhaddad/fast-track

    Object tracking pipelines complete with YOLOv9, YOLO-NAS, YOLOv8, and YOLOv7 detection and BYTETracker tracking

    Language:Python69225
  • Hyuto/yolo-nas-onnx

    Inference YOLO-NAS ONNX model

    Language:C++65276
  • jason-li-831202/YOLO-NAS-onnxruntime

    This repo provides the C++ implementation of YOLO-NAS based on ONNXRuntime for performing object detection in real-time.Support float32/float16/int8 inference.

    Language:C++431107
  • Andrewhsin/YOLO-NAS-pytorch

    Train and Inference your custom YOLO-NAS model by Pytorch on Windows

    Language:Jupyter Notebook35124
  • sujanshresstha/YOLO-NAS_DeepSORT

    This repository contains code for object tracking in videos using the YOLO-NAS object detection model and the DeepSORT algorithm.

    Language:Python24207
  • mgonzs13/yolonas_ros

    YOLO-NAS for ROS 2

    Language:Python13112
  • meet5398/YOLO-NAS-object-detection

    This repository contains project of yolo-NAS (which gives more accurate result out of all other yolo versions), you can use these projects as a reference for building innovative projects using yolo-nas, It also contain links to some pre-trained custom model which you can use for your work

    Language:Jupyter Notebook11102
  • Y-T-G/YOLO-NAS-OpenVino-cpp

    C++ implementation of YOLO-NAS utilizing OpenVINO backend

    Language:C++10210
  • yolonas-cpp

    ukicomputers/yolonas-cpp

    An CPP library for object detection with full processing using OpenCV DNN (for ONNX) on YOLO-NAS model.

    Language:C++9121
  • farhad-dalirani/MultiObjectTracking-YOLO-NAS-DeepSORT

    Multi-object tracking using a tracking-by-detection scheme with YOLO-NAS + DeepSORT.

    Language:Python8100
  • dev6699/yolotriton

    Go gRPC client for YOLO-NAS, YOLOv8 inference using the Triton Inference Server.

    Language:Go7100
  • autodistill/autodistill-yolonas

    YOLO-NAS module for use with Autodistill.

    Language:Python6321
  • akashAD98/Vision_data_EDA

    Object detection Image data analysis or EDA

    Language:Python5202
  • Y-T-G/YOLO-NAS-DeepSparse-cpp

    C++ implementation of YOLO-NAS using DeepSparse

    Language:C++5100
  • Jawher-Ben-Abdallah/SAMYOL

    SAMYOL is a Python library that combines an object detection model and a segmentation model.

    Language:Jupyter Notebook4200
  • parsa-arjmand/object-detection

    detecting license plates and cars in a video using YOLO NAS and YOLOv5

    Language:Jupyter Notebook3110
  • hajin-park/V-QUIP

    V-QUIP: A Vision-based Quick Impromptu Polling System for the Classroom

    Language:JavaScript22133
  • JacobJ215/Vehicle-Detection-Tracking-App

    This repository contains a Streamlit web application for vehicle tracking using different SOTA object detection models. The app offers two options: YOLO-NAS with SORT tracking and YOLOv8 with ByteTrack and Supervision tracking. It enables users to upload a video file, set confidence levels, and visualize the tracking results in real-time.

    Language:Python2101
  • JacobJ215/YOLO-NAS-SAM

    This project demonstrates how to perform object detection and image segmentation using YOLO-NAS for object detection and SAM for image segmentation.

    Language:Jupyter Notebook2112
  • grappling-pose-identification

    talhaahussain/grappling-pose-identification

    Third year university dissertation. Continuous Assessment for ECM3401 - Individual Literature Review and Project. Involves the implementation of a human pose estimation computer vision model to detect two combat athletes, and a machine learning algorithm to identify their grappling position.

    Language:Jupyter Notebook2203
  • imane0x/Smoke-Detection

    This project focuses on leveraging the YOLO-NAS model for Smoke Detection.

    Language:Jupyter Notebook1100
  • malifalhakim/sistem-perhitungan-suara-otomatis

    An automatic election vote counting system using OCR and Object Detection technology on C1 form images.

    Language:Python1201
  • Rinkesh-8/YOLO-NAS_Garbage-Detection

    A Computer Vision project for Clean India, Green India.

    Language:Jupyter Notebook1100
  • werserk/AtomicHack-1st-place

    Решение соревнования Атомик Хак 2.0 от корпорации РосАтом по обнаружению дефектов сварочных швов во время визуального осмотра

    Language:Python1100
  • FilipMikus/Object_detection_and_segmentation_in_historical_encrypted_manuscripts

    Repository containing implemetation and documentation of master's thesis Object detection and segmentation in historical encrypted manuscripts at at Faculty of Electrical Engineering and Information Technology of Slovak University of Technology in Bratislava (FEI STU).

    Language:Jupyter Notebook0100
  • fraserlove/computer-vision

    A collection of computer vision projects, specifically covering image classification and object detection.

    Language:Jupyter Notebook0200
  • Rinkesh-8/YOLO_Potholes-Detection

    A computer Vision project for avoiding potholes on road.

    Language:Jupyter Notebook0100
  • mahimairaja/parkinson-detection

    To predict the Parkinson's disease in the early stage using hand drawings.

    Language:Jupyter Notebook
  • RATHOD-SHUBHAM/Yolo-NAS-2

    About YOLO_NAS is an architecture for object detection that automatically searches for optimal neural network structures, while Segment Anything Model is a versatile model for segmenting various objects in images.

    Language:Python10
  • talhaahussain/YOLO-NAS-POSE-simplified

    A simpler (and working) notebook and repo for convinient use of YOLO-NAS-POSE, a human pose estimation model by Deci AI. Aims to run in a less resource intensive manner, by eliminating real-time capture and playback, and instead reading from and writing to permanent image and video files.

    Language:Jupyter Notebook10
  • zl-gan/object-detection

    This project is completed as a fulfilment for the CDS590 Consultancy Project & Practicum provided by School of Computer Sciences, USM as part of their Masters of Science in Data Science and Analytics program.

    Language:Jupyter Notebook10