carlottaruppert

@lxiaohuihuihui thanks so much for sharing! If I try with Coco data I get perfect results, but not on my own (because they are scaled differently?). Could you maybe explain...

I actually use detection bounding boxes from Mask RCNN and with coco data it works, I also checked wether the bboxes are correct and they are. Thanks anyway :)

As mentioned in https://github.com/microsoft/human-pose-estimation.pytorch/issues/26#issuecomment-449536235 the error was due to this line: c, s = _box2cs(box, data_numpy.shape[0], data_numpy.shape[1]) instead it should be: c, s = _box2cs(box, data_numpy.shape[1], data_numpy.shape[0]) So image_width and...

@tengshaofeng I'm not getting perfect results on your data either. I used w48_384x288 on your data I think it's because the joints of your humans are occluded by kinda baggy...

> > > As mentioned in [microsoft/human-pose-estimation.pytorch#26 (comment)](https://github.com/microsoft/human-pose-estimation.pytorch/issues/26#issuecomment-449536235) the error was due to this line: > > c, s = _box2cs(box, data_numpy.shape[0], data_numpy.shape[1]) > > instead it should be: >...

I think my result is better... since the picture width and height is basically the size of the bbox I scipped the Mask RCNN and coded the bbox hard. In...

from __future__ import absolute_import from __future__ import division from __future__ import print_function import argparse import os import pprint import torch import torch.nn.parallel import torch.backends.cudnn as cudnn import torch.optim import torch.utils.data...

if you are using Mask RCNN as well, change the bbox format with this function: def change_box_to_coco_format(mask_box): """mask rcnn box structure looks as follows: y1,x1,y2,x2 where y1,x1 refer to the...