Can object detection be performed only in certain grid cells?

[seojupal]

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Question

Hello. I'm trying to train the yolov5s model with custom data.
I am interested in the way yolo performs detection with anchor boxes on a grid basis.
I would like to enter only grid cells that meet certain conditions to perform detection, so could you tell me which part of yolo.py I need to modify?
It may be because of a lack of understanding of the structure, but I'm confused whether it's the input layer or the last layer to be touched.
I'd appreciate your help.

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[glenn-jocher]

@jue0 hi there! In YOLOv5, object detection is performed on a grid basis with anchor boxes. If you only want to perform detection in certain grid cells that meet certain conditions, you can modify the detect() function in yolo.py.

In the detect() function, you can identify the grid cells that meet your desired conditions and perform detection only on those cells. You will need to modify the code that processes the grid cells and performs the detection.

Please note that modifying the detect() function requires a good understanding of the YOLOv5 architecture. It is recommended to refer to the YOLOv5 documentation and familiarize yourself with the structure before making any modifications.

If you have any further questions or need more assistance, feel free to ask.

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