C# Yolo Darknet Wrapper (real-time object detection)
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Updated
Dec 8, 2022 - C#
C# Yolo Darknet Wrapper (real-time object detection)
A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
Localize 2D image object detection in 3D Scene with Yolo in Unity Barracuda and ARFoundation.
Demo of implement YOLO v3 with OpenCvSharp v4 on C#
A collaborative tool for labeling image data for yolo
YoloCSharp is a cross platform wrapper of Yolo/Darknet for .Net Standard 2.0
Implementation of YoloV3 and Caffe in OpenCvSharp
Darknet YOLOv2/3 annotation tool written in C#/WPF
Use the YOLO v3 (ONNX) model for object detection in C# using ML.Net
WPF (C#) Yolo Darknet Wrapper
C# Darknet YoloV3 GPU Object-Detection, 30+ fps, RTX 20 series, CUDA 10.2
Offers Neural Network Recognition (Yolov3) of IP Camerafeeds and signalling
Object Detection from Webcams with YOLO using Alturos.Yolo
C# Darknet YoloV3 GPU Object-Detection, 30+ fps, RTX 20 series, CUDA 10.2
OpenCV Sharp implementation of DNN module for YoloV3 and Caffe
Littel fun Object detection.
Video surveillance application based on YOLOv3 and SORT
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