Hi , i have some question, Alphapose result on coco is good, your group said pytorch-version can achieves 71mAp on COCO dataset. Is this result producted by the "yolov3-spp.weights(from darknet pretrained ) + duc_se.pth" ?
the pretrained weight published there, is not same as paper ----- std+hg+stdn . So ,i want ask is the 71mAP resulted from " yolov3-spp + duc_se"?
if not , how about the "" yolov3-spp + duc_se"" result ? mAP?
Hi , i have some question, Alphapose result on coco is good, your group said pytorch-version can achieves 71mAp on COCO dataset. Is this result producted by the "yolov3-spp.weights(from darknet pretrained ) + duc_se.pth" ?
the pretrained weight published there, is not same as paper ----- std+hg+stdn . So ,i want ask is the 71mAP resulted from " yolov3-spp + duc_se"? if not , how about the "" yolov3-spp + duc_se"" result ? mAP?