Ĭhart 2-5 take cuDNN Copy the contents of to CUDA 2.3 Windows Under the PIP install PaddlePaddle 2.3.1 Environmental preparationĪt present, the environments supported by the propeller are : Step five, The downloaded file is a compressed package, After decompression, there are three folders bin、include and lib, Copy the contents of the three folders to CUDA Installation directory ( By default C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0) Under the bin、include and lib Next, This should correspond one by one, Pictured 2-5 Shown. Step four, Go to the website install cuDNN v8.0.4, You need to log in, If you don't have an account, register one, Pictured 2-4 Shown. The third step, After that, you only need one default installation to complete, Pictured 2-3 Shown. The second step, When the installation is complete, double-click exe File start installation, Pictured 2-2 Shown. Install CUDA and cuDNN The steps of the library are as follows :įirst step, Go to the website download 11.0vCUDA, Pictured 2-1 Shown. ■ GPU Computing power exceeds 3.0 The hardware of ■ CUDA tool kit 11.2 coordination cuDNN v8.1.1 ■ CUDA tool kit 11.0 coordination cuDNN v8.0.4 ■ CUDA tool kit 10.1/10.2 coordination cuDNN 7 (cuDNN edition >=7.6.5) If your computer has NVIDIA GPU, Please ensure that the following conditions are met and the installation GPU edition PaddlePaddle Provide a rich collection of official support models, And launch a full range of high-performance deployment and integration solutions for developers. Ĭhart 1-6 hello python Fast installation PaddlePaddle And PaddleSeg02 2.1 PaddlePaddle brief introductionįlying propeller (PaddlePaddle) It is a core framework for in-depth learning launched by Baidu 、 Advanced technology integrating tool components and service platform 、 A fully functional open source deep learning platform, It has been widely used by Chinese enterprises, Deeply meet the needs of enterprise applications, Have an active developer community ecosystem. In the pop-up Windows In the command line window, Enter the code (“hello python”)>, The following figure is obtained 1-6 It turns out that Anaconda and Python All installed successfully. Ĭhart 1-4 add to Anaconda Path to PATH environment variable 1.3 test Anaconda installĪfter all installation, stay Windows“ Start ” From the menu Anaconda Navigator, After entering the main boundary, click Environments tab, Here's the picture 1-5 You can see the current Anaconda The default virtual environment is base(root), single click base(root) The green arrow on the right, Select from the pop-up menu Open with Python. Step four, Enter advanced installation options settings, Be sure to check Add Anaconda3 to my PATH environment variable, take Anaconda3 Add the path to the environment variable, And then click Install Button ,Anaconda installation is complete, Pictured 1-4 Shown. The third step, Set the installation path, Try to keep the default path, And then click Next> Button installation, Pictured 1-3 Shown. The second step, Find the download file Anaconda3-2021.05-Windows-x86_64.exe And double-click to install to figure 1-2 Interface in, Enter the user options interface and select by default Just Me, Click again Next> Button. įirst step, Through the website Get into Anaconda Official website, Just click Download Download, Pictured 1-1 Shown. 1.2 Download and install Anacondaĭownload and install Anaconda, The specific steps are as follows. Anaconda utilize an instrument / command conda To carry out package and environment Management of, And it already contains Python And related tools. install Anaconda 01 1.1 Anaconda summaryĪnaconda Is a distribution for Scientific Computing, Support Linux, Mac, Windows System, It provides package management and environment management functions, It's easy to solve multiple versions python Coexist 、 Switching and various third-party package installation problems. And introduced in detail OpenVINO Inference Engine Typical application development process, And how to use Python Programming language development AI Reasoning applications. This paper uses the PaddleSeg Image classification suite training classification model, Use OpenVINO The tool suite is a framework for optimizing the deployment of classification models, It introduces PaddleSeg Kits and OpenVINO Installation and use of tool kits, as well as BisNetV2 The whole process of segmentation model training. Semantic segmentation (Semantic Segmentation) It is the basis for computer vision to understand the real world, Big enough to drive automatically, Small to personal applications, as long as careful observation, we can find the application places of semantic segmentation everywhere, In fact, semantic segmentation is equivalent to image segmentation and the understanding of the segmented region.
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