YoloV10 NPU for the RK3566/68/88
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Updated
Jun 19, 2024 - C++
YoloV10 NPU for the RK3566/68/88
This project uses YOLO models for efficient object detection with a Streamlit interface. Users can upload images or video streams for real-time detection. It supports YOLOv8, YOLOv9, and YOLOv10; offering flexibility and high accuracy in various scenarios.
From dataset https://universe.roboflow.com/roboflow-100/bone-fracture-7fylg a model is obtained, based on yolov10, with that custom dataset, to indicate fractures in x-rays.
System designed to provide real-time assistance to visually impaired individuals by detecting obstacles in their path and helping them finding desire objects in their environment.
This is an introductory walkthrough on how to use YOLOv10.
This is part of a project from IE University. It contains a notebook that walks you through creating a model for predicting rats on images using Computer Vision. It has two steps: Automatic annotation with Grounding DINO and Building the model with YOLOv10. We will leverage on Ultralytics and Roboflow platform
The Earthquake Emergency Response Robots project aims to create, develop, and implement systems specifically designed to handle post-earthquake situations. The main focus of the project is to build adaptable robots that come equipped with sensors and communication capabilities.
YOLOv10 right in your browser with onnxruntime-web
Prototype of an intelligent safety system for detecting driver drowsiness
From a selection of data from the Roboflow file https://universe.roboflow.com/landy-aw2jb/fracture-ov5p1/dataset/1, which represents a reduced but homogeneous version of that file, a model is obtained based on yolov10 with that custom dataset to indicate fractures in x-rays.
yolo model benchmark onnxruntime web
A Python bot for Infinite Stairs on the BlueStacks 5 emulator
YoloV10 for a bare Raspberry Pi 4 or 5
This repository contains code for object detection and tracking in videos using the YOLOv10 object detection model and the DeepSORT algorithm.
YOLO telegram bot for object detection and instance segmentation, implemented in Python + OpenCV + ONNXRuntime
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