A state of the art real-time object detection system for C# (Visual Studio). This project has CPU and GPU support, with GPU the detection works much faster. The primary goal of this project is an easy use of yolo, this package is available on nuget and you must only install two packages to start detection. In the background we are use the Windows Yolo version of AlexeyAB/darknet. Send an image path or the byte array to yolo and receive the position of the detected objects. Our project is meant to return the object-type and -position as processable data.

Quick install Alturos.Yolo over nuget

PM> install-package Alturos.Yolo (c# wrapper and c++ dlls 22MB)
PM> install-package Alturos.YoloV2TinyVocData (Pre-Trained Dataset 56MB)

var configurationDetector = new ConfigurationDetector();
var config = configurationDetector.Detect();
//using (var yoloWrapper = new YoloWrapper("yolov2-tiny-voc.cfg", "yolov2-tiny-voc.weights", "voc.names"))
using (var yoloWrapper = new YoloWrapper(config))
{
	var items = yoloWrapper.Detect(@"image.jpg");
	//items[0].Type -> "Person, Car, ..."
	//items[0].Confidence -> 0.0 (low) -> 1.0 (high)
	//items[0].X -> bounding box
	//items[0].Y -> bounding box
	//items[0].Width -> bounding box
	//items[0].Height -> bounding box
}

• .NET Framework 4.6.1
• Microsoft Visual C++ 2017 Redistributable x64

1. Install Nvidia CUDA Toolkit 9.2 (must be installed add a hardware driver for cuda support)
2. Download Nvidia cuDNN v7.1.4 for CUDA 9.2 (DLL cudnn64_7.dll required for gpu processing)

• Visual Studio 2017

Average processing speed of test images bird1.png, bird2.png, car1.png, motorbike1.png

To marking bounded boxes of objects in images for training neural network you can use VoTT

Check graphic device usage "%PROGRAMFILES%\NVIDIA Corporation\NVSMI\nvidia-smi.exe"

http://cocodataset.org/

.
├── Alturos.Yolo.dll              # C# yolo wrapper
├── x64/
│   ├── yolo_cpp_dll_cpu.dll      # yolo runtime for cpu
│   ├── yolo_cpp_dll_gpu.dll      # yolo runtime fot gpu
│   ├── cudnn64_7.dll             # required by yolo_cpp_dll_gpu (optional only required for gpu processig)
│   ├── opencv_world340.dll       # required by yolo_cpp_dll_xxx (process image as byte data detect_mat)
│   ├── pthreadGC2.dll            # required by yolo_cpp_dll_xxx (POSIX Threads)
│   ├── pthreadVC2.dll            # required by yolo_cpp_dll_xxx (POSIX Threads)
│   ├── msvcr100.dll              # required by pthread (POSIX Threads)