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1. Features of metal tube rotameter
2. Practice tutorial | Practice tutorial of deploying PP Human based on C # and OpenVINO
Practice tutorial of deploying PP Human based on C # and OpenVINO This article will introduce in detail how to deploy PaddlePaddle PP Human using C # and OpenVINO toolkits to help developers quickly master and deploy industrial AI body analysis solutions. 1. PaddlePaddle real-time pedestrian analysis tool Noisy PP HumanPP Human is an open source real-time pedestrian analysis tool in PaddlePaddle target detection suite PaddleDetection, which provides five major abnormal behavior identification and four industrial level functions: human attribute analysis, pedestrian flow counting, and cross mirror ReID. 1.1 PP Human Technology Architecture PP Human supports single image, image folder, single shot video, and multi shot video input. Through object detection and feature association, it achieves functions such as attribute recognition, keypoint detection, trajectory/traffic counting, and behavior recognition. 1.2 Building a C # development environment To prevent issues with duplicate code, the following code development environments are listed, which can be set according to your own needs. Please note that OpenVINO must be the 2022 version, and other dependencies can be modified according to your own settings. Operating System: Windows 11 OpenVINO: 2022.3 OpenCV: 4.5.5 Visual Studio: 2022 Community C # Framework: NET 6.0 OpenCvSharp: The complete code of OpenCvSharp 41.3 project has been open sourced. The source code involved in the project has been open sourced on Gitee and can be directly cloned locally for use: git clone https://github.com/guojin-yan/Csharp_and_OpenVINO_deploy_PP-H
2.2 Introducing dynamic link library files in C # requires the use of the [DllImport()] method to introduce dynamic link library files in C #. The complete usage is shown in the following code: [DllImport (openvino-dll_cath, CharSet=CharSet. Unicode, CallnCnvention=CallnCnvention. Cdecl)] public external static IntPtr set_input_image_shark; Regarding the content in parentheses of [DllImport()]: openvino-dll-path is the dll file path CharSet=CharSet. Unicode represents the support for Chinese encoding format string CallinCnvention=CallinCnventionCdecl indicating the calling convention of the entry point. After declaring the dynamic link library, the caller can clean the stack and introduce the method liquid front in the dynamic link library. Since we generated the dynamic link library in the C++environment, in order for the compiler to recognize it, we need the method name and variable type to correspond one-to-one. Based on the above methods, we introduced all methods in the dynamic link library into C #
2.3 C # Building Core Class. In the previous step, we introduced... Encapsulate the OpenVINO dynamic link library into the Core class for easier use. Between different methods, the main way is to pass pointers between them is through the inference core structure. In C #, there is no such thing as a pointer, but it can be received through the IntPtr structure. To prevent tampering
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