tensorlayer
generate train data for MPII
Someone can answer that for me in the hyperpose/dataset/mpii_dataset/Dataset/mpii_dataset/generate.py
target_list=[]
for kpts,head_bbx in zip(kpts_list,bbx_list):
bbx=np.array(head_bbx).copy()
bbx[:,2]=bbx[:,2]*4
bbx[:,3]=bbx[:,3]*4
target_list.append({
"kpt":kpts,
"mask":None,
"bbx":bbx,
"head_bbx":head_bbx,
"labeled":1
})
What does bbx[:,2]=bbx[:,2]*4 and bbx[:,3]=bbx[:,3]*4 mean？ bbox[:,0] is head center x, bbox[:,1] is head center y. So what does BBX mean？
Hello! @w8501 bbx stands for bounding box, bbx[0] is the x for the box, bbx[1] is y, while bbx[2] is weight and bbx[3] is height. For MSCOCO dataset, the labeled bounding box is a rectanguler that contains the whole object( for pose estimation, each object is a person), however, for MPII dataset, the labeled bounding box stands for the rectangular that contains the person's head, so here we multiplt the MPII labeled bounding box by 4 to approximate the whole bounding box that contains a person. :)
Hello! @w8501 bbx stands for bounding box, bbx[0] is the x for the box, bbx[1] is y, while bbx[2] is weight and bbx[3] is height. For MSCOCO dataset, the labeled bounding box is a rectanguler that contains the whole object( for pose estimation, each object is a person), however, for MPII dataset, the labeled bounding box stands for the rectangular that contains the person's head, so here we multiplt the MPII labeled bounding box by 4 to approximate the whole bounding box that contains a person. :)
Hi! @Gyx-One Thanks for your reply. I take your point.But the bbx[0] is head center x , bbx[1] is head center y. So the top left point is(head center x，head center y), and bottom right point is(head center x+w，head center y+h)，which does not contain the whole object.
Hello! @w8501 Sorry to response so late! Thanks for pointing this out! I think you are correct and I'll check the issues that it may cause and fix them. :)