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1. Click the Settings button. The Detection settings window will open.
   

2. Click the Stop video button to pause playback and capture a frame of the video image.
3. Click the Area of interest button to specify the area of detection. The button will be highlighted in blue.
   
4. On the captured video frame, sequentially set the anchor points of the area in which the objects will be detected by left-clicking the mouse button. The rest of the frame will be faded. If you don't specify the area of interest, the entire frame is analyzed.
   

   Info
   title Note
   You can add оnly only one area. If you try to add a second area, the first area will be deleted. To delete the area, click the button to the right of the Area of interest button.

   There can be only one area of interest.
5. Click the OK button to close the Detection settings window and return to the settings panel of the detection tool.

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1. Go to the Network settings tab on the settings panel of the detection tool.
   
2. By default, the standard (default) segmenting neural network is initialized according to the device selected in the Working mode drop-down list. The standard neural networks for different processor types are selected automatically. If you use a custom segmenting neural network, click the  button (1) to the right of the Segmenting network file field, and in the standard Windows Explorer window, specify the path to the file.
3. By default, two standard classification neural networks are initialized: сlassification classification neural network (PPE on the head) and сlassification classification neural network (PPE on the body) according to the selected processing device in the Working mode drop-down list. Each classification neural network detects equipment on a specific body segment. The standard classification neural networks for different processor types are selected automatically. If you want to detect only one item of equipment, click the button to the right of the Classification network file field (2), and in the standard Windows Explorer window, specify the path to the custom neural network file. If there are several custom neural network files, specify the path to each.
4. Click the Apply button to save the settings.

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