[INQUIRY] How did you design this visualization feature? about darknet-vis HOT 2 CLOSED

@donnx32 The idea of this visualization is from the original YOLO paper. Specifically, YOLO, a one-stage detector try to map the object to a neuron on the feature map that its center belongs to. And the corresponding neuron works to regress the relative bounding box. YOLOv3 and YOLOv4 both inherit this character. Therefore, we can visualize a neuron via the i-th region proposal with a maximum objectness score. Ideally, there is an object that its center should be very close to the location of this neuron. See 88f1d4d commit get_obj_map() for details.

from darknet-vis.

@xueeinstein Thank you so much for your response, this is truly helpful. I will try to explore on your what you stated and attempt to apply it to the later versions.

from darknet-vis.