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In this video, we'll tell you how to use your office seven to detect the object classes in an image.
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But first, YOLO v seven must be successfully installed and which must be downloaded to begin.
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Press the Windows key then type Anaconda.
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Click on any kind of prompt.
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After that activate the all of seven CPU environment used to commands activate.
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Jollof is seven to for you and phe.
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Press internal.
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Then navigate to the all of seven zip route folder.
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We will detect objects in the image here, but the source is a folder containing several images, not
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a single file.
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Use the following command.
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Python detector PI.
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That's.
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That's why it's all of seven.
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We use 0.5 in contrasts.
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In the image size.
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We use 640.
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In-source we will detect in the inference images folder.
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Use the few image argument.
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Use the safety argument.
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Chris intro.
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Went for the detection process to fitness.
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Because it uses the few inmates argument, the detection results will appear like this.
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The detection results will be saved in the folder listed below.
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We open Windows Explorer to see.
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Then navigate to the all of 73 use route folder.
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Navigate to the folder containing the text and results.
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Here are some object detection results obtained with the goal of seven.
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Because it uses a 0.5 threshold.
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The detection results will only sell objects with a score greater than 0.5.
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Then because it uses the safety argument, the detection results are stored in a file.
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The file is saved in the labels folder.
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This is the file where the text and results are safe.
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This file contains the class ID, mid-point, width and height, bounding box information.
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The next video will explain how to detect objects on video and webcam.
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See you in the next video.
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