Bado Lee

@tianzhi0549 Thank you very much for your reply :) I was testing with the official test scrip which is [ICDAR evaluation](http://rrc.cvc.uab.es/?com=downloads&action=download&ch=2&f=aHR0cDovL2RhdGFzZXRzLmN2Yy51YWIuZXMvcnJjL3N0YW5kYWxvbmVzL3NjcmlwdF90ZXN0X2NoMl90MV9lMS0xNTAxNTI4MzE5LnppcA==) which got me result of ``` Evalutation - ICDAR...

@lxx1884896 hi, in original code, output is scaled value. the "f" I've mentioned is the one at https://github.com/tianzhi0549/CTPN/blob/0ea6ab2dccd84b225cca49f267bd9257a68e0dd0/tools/demo.py#L54 This to be in original image's scale, you need to scale it...

''' Process the 0-th class, containing 447 elements...............Traceback (most recent call last): File "decor_recomposition.py", line 609, in result, input_map, output_map, input_dir_map, output_dir_map = GOT.Move(Img,Cha,Seg,TargetImg,TargetCha, opt.style name, opt.content_name) File "decor_recomposition.py", line...

@justfouw Hi, any luck with this problem?

@justfouw Thank you for your comment. I'll try your suggestion.

 weird it's holding there... @justfouw Were you successful running the "runtest.py" ?

@justfouw it seems like it falls into infinite loop. after applying protective operation... decor_recomposition.py : while(x_startoutput_img.shape[1]-5):

I was able to run runtest.py after a bit of modification. Simply check new_size validity before resizing. If it's not valid, continue. Hope this will help someone. Anyhow, my test...

@xphsean12 I didn't face the same issue. However, the error is because of dimension mismatch between "input_thinkness_map" and the "mask" I think this is the error that should be debugged....