No matter how many bbox, about yolov5-gradcam HOT 5 CLOSED

Hi @xiaoma-ux, this is due to the gradient that is taken from the classification part of each object. Unlike classification networks, object detection models have classification nodes for each object alongside the bounding box and objectness probability notes. That's why the thermal map differs for each object.

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hi@pooya-mohammadi，I mean the thermal map of the whole picture should be the same。There may be multiple BBoxes on a particular layer, but the thermal map of the entire image should be the same

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@xiaoma-ux The code does not return or even compute the thermal map of the whole image. The thermal is computed for each bbox then combined together

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So how do you calculate the thermal map of the whole picture? Can you tell me about it?

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@xiaoma-ux I'm afraid there is no way because yolo model has no classification section for the whole image

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