qshi
qshi
https://github.com/microsoft/human-pose-estimation.pytorch/blob/18f1d0fa5b5db7fe08de640610f3fdbdbed8fb2f/lib/utils/transforms.py#L57 dst_dir = np.array([0, dst_w * -0.5], np.float32) dst[1, :] = np.array([dst_w * 0.5, dst_h * 0.5]) + dst_dir I can get `dst[1, 1] == (dst_h-dst_w)*0.5` but Why?? why not...

from pytorch1.5 to onnx,then convert onnx to caffemodel with your code but the output of caffemodel is zero why? [onnx_pytorchv1.5.zip](https://github.com/MTlab/onnx2caffe/files/4626459/onnx_pytorchv1.5.zip)
Hello,thank you for your share.but i encounter some problems as follows: No such file or directory: '/with SPN/conv1/W.npy' "self.load_weights('/Users/shashank/TensorFlow/with SPN/weights/')" "self.sess.run(var.assign(np.load(path+var.name.split('/')[0]+'/b.npy')))" I guess the lack of files!!!
do you know public dataset that can prove my algorithm works
 the mistake occurs when detecting nothing! The score of background is the highest!
Do you try to combine two methods?
 这个结果和Repulsion loss一样都变差了,也是奇怪的很!希望作者贴出他的实验结果!