YOLO v5 Series - Deploy

OpenCV-4.8.0

https://opencv.org/releases/

(alpha) D:\Deploy>wget https://cyfuture.dl.sourceforge.net/project/opencvlibrary/4.8.0/opencv-4.8.0-windows.exe?viasf=1
--2025-02-02 13:40:22--  https://cyfuture.dl.sourceforge.net/project/opencvlibrary/4.8.0/opencv-4.8.0-windows.exe?viasf=1
Resolving cyfuture.dl.sourceforge.net (cyfuture.dl.sourceforge.net)... 49.50.119.27
Connecting to cyfuture.dl.sourceforge.net (cyfuture.dl.sourceforge.net)|49.50.119.27|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 176191149 (168M) [application/octet-stream]
Saving to: 'opencv-4.8.0-windows.exe@viasf=1'

opencv-4.8.0-windows.exe@vias 100%[=================================================>] 168.03M   113KB/s    in 19m 58s

2025-02-02 14:00:22 (144 KB/s) - 'opencv-4.8.0-windows.exe@viasf=1' saved [176191149/176191149]

include & lib & path

D:\Deploy\opencv-4.8.0\build\include
    └─ opencv2 
D:\Deploy\opencv-4.8.0\build\x64\vc16\lib 
    │  opencv_world480.lib
    │  opencv_world480d.lib
    └─ ... 
D:\Deploy\opencv-4.8.0\build\x64\vc16\bin
    │  opencv_world480.dll
    │  opencv_world480d.dll
    └─ ... 

Release - x64


Proj-OpenCV-4.8.0

#include <opencv2\opencv.hpp> 
#include <iostream>

using namespace std;   // c++标准库中所有标识符都被定义于一个名为std的namespace中
using namespace cv;

int main()
{
	Mat img = imread("D:/Deploy/scenario/images/1734613232.139.0.jpg");
	if (img.empty())
	{
		cout << "Error......" << endl;
		return 0;
	}
	imshow("Proj-OpenCV-4.8.0", img);
	waitKey(0);
	return 0;
}

libtorch-win-shared-with-deps-2.2.2+cu121

D:\Deploy>wget https://download.pytorch.org/libtorch/cu121/libtorch-win-shared-with-deps-2.2.2%2Bcu121.zip
--2025-02-02 15:26:56--  https://download.pytorch.org/libtorch/cu121/libtorch-win-shared-with-deps-2.2.2%2Bcu121.zip
Resolving download.pytorch.org (download.pytorch.org)... 108.139.10.61, 108.139.10.124, 108.139.10.87, ...
Connecting to download.pytorch.org (download.pytorch.org)|108.139.10.61|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 2405749801 (2.2G) [application/zip]
Saving to: 'libtorch-win-shared-with-deps-2.2.2+cu121.zip'

libtorch-win-shared-with-deps  61%[=============================>                    ]   1.39G   245KB/s    in 95m 48s

2025-02-02 17:02:46 (253 KB/s) - Connection closed at byte 1489657708. Retrying.

--2025-02-02 17:02:47--  (try: 2)  https://download.pytorch.org/libtorch/cu121/libtorch-win-shared-with-deps-2.2.2%2Bcu121.zip
Connecting to download.pytorch.org (download.pytorch.org)|108.139.10.61|:443... connected.
HTTP request sent, awaiting response... 206 Partial Content
Length: 2405749801 (2.2G), 916092093 (874M) remaining [application/zip]
Saving to: 'libtorch-win-shared-with-deps-2.2.2+cu121.zip'

libtorch-win-shared-with-deps  85%[++++++++++++++++++++++++++++++===========>        ]   1.92G   254KB/s    in 36m 28s

2025-02-02 17:39:16 (256 KB/s) - Connection closed at byte 2063385389. Retrying.

--2025-02-02 17:39:18--  (try: 3)  https://download.pytorch.org/libtorch/cu121/libtorch-win-shared-with-deps-2.2.2%2Bcu121.zip
Connecting to download.pytorch.org (download.pytorch.org)|108.139.10.61|:443... connected.
HTTP request sent, awaiting response... 206 Partial Content
Length: 2405749801 (2.2G), 342364412 (327M) remaining [application/zip]
Saving to: 'libtorch-win-shared-with-deps-2.2.2+cu121.zip'

libtorch-win-shared-with-deps 100%[++++++++++++++++++++++++++++++++++++++++++=======>]   2.24G   261KB/s    in 21m 52s

2025-02-02 18:01:11 (255 KB/s) - 'libtorch-win-shared-with-deps-2.2.2+cu121.zip' saved [2405749801/2405749801]

CUDA + cuDNN

include & lib & path

D:\Deploy\opencv-4.8.0\build\include
D:\Deploy\libtorch\include
D:\Deploy\libtorch\include\torch\csrc\api\include

D:\Deploy\libtorch\lib

D:\Deploy\libtorch\lib

Proj-Cuda-12.1

#include <torch/torch.h>
#include <torch/script.h>

#include <iostream>
using namespace std;   // c++标准库中所有标识符都被定义于一个名为std的namespace中

#include <opencv2\opencv.hpp> 
using namespace cv;

int main()
{
	cout << "CUDA   checking : " << torch::cuda::is_available() << endl;
	cout << "cuDNN  checking : " << torch::cuda::cudnn_is_available() << endl;
	cout << "Device counting : " << torch::cuda::device_count() << endl;

	torch::Tensor tensor = torch::arange(0, 25, torch::kFloat32).reshape({ 5,5 });
	cout << "\n" << tensor << "\n" << endl;

	if (true) {
		cout << "Press any key to continue ..." << endl;
		getchar();
	}

	return 0;
}

Release - x64