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In this section, we will explain how to use the rule of seven to detect object classes, images, videos
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and webcams will be used for detection.
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However, before we begin the section, we will explain some arguments that can be used.
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First there are argument weights.
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The argument is the use of seven weights file used.
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YOLO v seven is the default value.
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For an example of its application.
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See this?
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The following argument is can't stress this argument is an object confidence threshold.
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The default value is 0.25.
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An example of its use is as follows.
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The detection results that will be displayed on those with a score greater than this threshold.
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Image size is the next argument.
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This is the argument for inference size.
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The default setting is 640.
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This is an example of its application.
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By increasing the size, it may increase the accuracy, but the process is slower.
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Next is the source argument.
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This argument that accepts the source to be detected.
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This source could be either a file or a folder, An image, video or webcam can also be used as this
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source.
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The default value is inference images folder.
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This is an example of its application.
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Next argument fuel emits.
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This is an argument for displaying the detection resolve.
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There is no default value.
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Simply enter the arguments to use it.
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The following argument is safety XD.
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This is an argument for saving the detection results to a file.
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There is no default value.
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Simply enter the arguments to use it.
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The next video was so an example of the detection.
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See you in the next video.
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