bojohn
bojohn
@wangruohui Ok, thanks.
@leoxiaobin @lxiaohuihuihui @MassyMeniche @jinfagang @wait1988 @njustczr i have try the inference for a single image. But I don not think the result is good. Is it the problem of trained...
@carlottaruppert , thanks so much for your reply. I think your performance is better than mine. Have u used the operation of fliping when test?
@carlottaruppert ,yes , I try as you said. It performance better. Really thanks for your advice. sorry to bother u again. the follow image is not good, can u try...
@carlottaruppert , when i comment the "if center[0] != -1: scale = scale * 1.25" the result is like follows:  maybe I should try the model of w48_384x288
@carlottaruppert , when i set the box as large as the image, and I use the w48_384x288,but the result is as follows, I do not know why I can not...
@carlottaruppert , thanks so much.
@carlottaruppert ， I found the problem. because of the bbox, my bbox is [0, 0, 130, 410], yours is [0, 0, 410, 130 ], the input image' width is 130,...
@carlottaruppert , I have found the solution after I read the code carefully. Actually，it shoud be: c, s = _box2cs(box, cfg.MODEL.IMAGE_SIZE[0], cfg.MODEL.IMAGE_SIZE[1]) instead of: c, s = _box2cs(box, data_numpy.shape[1], data_numpy.shape[0])...
i also meet the problem, have you fixed it?