CoachingJane
CoachingJane
In the paper Convolutional Oriented Boundaries, you offered the hed and cedn scores(ODS) on PASCAL Context:   If it's convenient, could you offer your retrained model of these two...
File "hed.py", line 302, in main() File "hed.py", line 156, in main load_vgg16_caffe(net, args.vgg16_caffe) File "D:\Application\Object_Detection\hed-master\utils.py", line 87, in load_vgg16_caffe load_pretrained_caffe(net, path, only_vgg=True) File "D:\Application\Object_Detection\hed-master\utils.py", line 94, in load_pretrained_caffe pretrained_params...
the article said ‘use the originally annotated contours instead of our refined ones as ground truth for unbiased evaluation’,it means the eval_gt does not use DenseCRF refinement ? like (b),the...
E=edgesNmsMex(E,O,1,5,1.01,4),the parameters 1,5,1.01,4 can be modified? and if anyone could tell me what they mean? thanks!
when i run test2.py it shows TypeError: apply() got an unexpected keyword argument 'transform_fpcoor'