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In this video, we'll show you how to install YOLO v seven CPU mode on windows.
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CPU mode is intended for computers or laptops equipped with an nvidia GPU.
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Why should you use TPU?
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The reason for this is the GPUs can accelerate the computational process for deep learning resulting
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in maximum performance.
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The first step is to create an environment, press windows and type in condom.
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Click on End Condo Navigator.
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If it's already open click environments.
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Click create to start creating environments, then enter the environments name.
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In this example, we name it Your life is 7 to 4.
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You can v.
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In Python, select Python 3.10, then click create.
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Wait until the environment is finished.
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It will look like this when it is finished.
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Then open the anaconda prompt.
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Address the Windows key, then type in condom.
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Click on any kind of prompt.
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After that, activate the environment, use the commands, activate.
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Your life is 7 to 4.
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You can feel.
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Then press enter.
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If it looks like this, it means that the environment is active.
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Then navigate to the directory where the seven source code will be safe.
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In this example, it will be stored in a directory.
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Use the command D, then press enter.
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The next step is to clone the YOLO V7 repository.
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First launched a browser.
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Then visit the following repository.
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The original repository has been forced into this repository to clone copy the repository link using
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click code, then click the following button.
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If it has been copied back again to the prompt.
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Then execute the command.
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Declan.
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Then trace the repository link.
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Press enter.
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Wait until the cloning process is finished.
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If it is completed, the results will be saved in all of these seven folder.
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Since the name of the owner of his seven folder to all of his seven CPU use commands.
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When YOLO.
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Five seven.
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YOLO five seven CPU.
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This is the root directory of the seven source code.
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Then navigate to the root folder of the role of seven GPU using command city YOLO.
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574 you press enter.
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Following that, we install patrols which can run on the GPU.
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The first step is to launch a browser and navigate to the following URL.
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Continue to scroll down.
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On titles build select stable version.
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Under your OS select windows in packages, select PIP in language, Select Python at just the compute
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platform to the installed version of queued.
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If nothing matches, choose the first thing that is lower than the installed version of queued.
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In this example queue the 11.6.
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Here is the installation command.
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Copy the command.
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With a block like this.
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Then right click and select copy.
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We turn to the prompt after that.
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Then pace the command to install patrols by pressing control fee.
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Press enter.
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Wait until the installation is finished.
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If it looks like this, the installation is finished.
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Next install python requirements using the command chip install.
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That's are requirements.
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If you don't text, press enter.
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Wait until the installation is finished.
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To test the installation, we will perform object detection on the image.
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However, before we begin the detection, we must first download all of these seven weights.
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We launched the browser.
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Scroll down after the.
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Here are some examples of weights that can be used.
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We will download with you all of these seven in this example.
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Wait until the download is finished.
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When you're finished, go to the downloads folder and open the file.
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Next move the words to the root folder of the seven Dpu.
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Click the weights file, then press control X.
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Place in the root folder of 70 CPU by pressing the control button.
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YOLO V seven includes a number of sample images that can be used for detection.
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Sample image located in the inference.
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Images folder.
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In this example, we will detect objects on the image.
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Horses duct taped.
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We return to the Anaconda prompt to perform the detection, execute the command python, detect the
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PI.
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That's, that's it's, you know, five, seven.
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That's their source.
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Inference images sources dot jpg press enter.
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Wait for the detection process to finish.
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When finished, the detection results will be saved in the folder listed below.
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To see it.
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We open Windows Explorer.
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Then go back to the root for the rule of seven TPU, then navigate to the folder containing the detection
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results.
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The result of object detection using all of seven is shown below.
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In the detections and training section.
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We will use CPU mode to maximise the performance of the whole of seven.
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See you in the next video.
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