error"python preparation_york.py" KeyError:'line' about afm_cvpr2019 HOT 6 OPEN

I find the data struct is different from described on website.
So you read like this: 'P1020171/P1020171.jpg' and 'P1020171/P1020171LinesAndVP.mat'?
Also key_word "lines" is in *LinesAndVP.mat.

from afm_cvpr2019.

I find the data struct is different from described on website.
So you read like this: 'P1020171/P1020171.jpg' and 'P1020171/P1020171LinesAndVP.mat'?
Also key_word "lines" is in *LinesAndVP.mat.

yes，it is different from described on website.
It's the same with 'P1020171/P1020171.jpg' and 'P1020171/P1020171LinesAndVP.mat'
The temporary solution is not to execute “python preparation_york.py”

Do you have some good ideas?

from afm_cvpr2019.

I find the data struct is different from described on website.
So you read like this: 'P1020171/P1020171.jpg' and 'P1020171/P1020171LinesAndVP.mat'?
Also key_word "lines" is in *LinesAndVP.mat.

yes，it is different from described on website.
It's the same with 'P1020171/P1020171.jpg' and 'P1020171/P1020171LinesAndVP.mat'
The temporary solution is not to execute “python preparation_york.py”

Do you have some good ideas?
I modified code in preparation_york.py like :
$ test_lst = glob.glob(osp.join(data_root,'P*'))
$ test_lst = [osp.basename(f) for f in test_lst]
$def load_datum(filename):
$ image = cv2.imread(osp.join(data_root,filename,filename)+'.jpg')
$ lsgs = sio.loadmat(osp.join(data_root,filename,filename)+'LinesAndVP.mat')['lines']
mainly changed target pic path and mat path. Then run OK

from afm_cvpr2019.

I find the data struct is different from described on website.
So you read like this: 'P1020171/P1020171.jpg' and 'P1020171/P1020171LinesAndVP.mat'?
Also key_word "lines" is in *LinesAndVP.mat.

yes，it is different from described on website.
It's the same with 'P1020171/P1020171.jpg' and 'P1020171/P1020171LinesAndVP.mat'
The temporary solution is not to execute “python preparation_york.py”
Do you have some good ideas?
I modified code in preparation_york.py like :
$ test_lst = glob.glob(osp.join(data_root,'P*'))
$ test_lst = [osp.basename(f) for f in test_lst]
$def load_datum(filename):
$ image = cv2.imread(osp.join(data_root,filename,filename)+'.jpg')
$ lsgs = sio.loadmat(osp.join(data_root,filename,filename)+'LinesAndVP.mat')['lines']
mainly changed target pic path and mat path. Then run OK

Thanks for your reply.
I did it like what you had done.
It's ok now.Thanks!!
My requirement is to train the images in outside scenes.
Have you train the "york" dataset?
I read the "afm_atrous.yaml" and "readme.md"，only "wireframe" can train,the "york" folder can only be tested.
The "wireframe" folder have the "train.json" ,while the "york" folder didn't
Do you have some ideas? thank you!

from afm_cvpr2019.

I find the data struct is different from described on website.
So you read like this: 'P1020171/P1020171.jpg' and 'P1020171/P1020171LinesAndVP.mat'?
Also key_word "lines" is in *LinesAndVP.mat.

yes，it is different from described on website.
It's the same with 'P1020171/P1020171.jpg' and 'P1020171/P1020171LinesAndVP.mat'
The temporary solution is not to execute “python preparation_york.py”
Do you have some good ideas?
I modified code in preparation_york.py like :
$ test_lst = glob.glob(osp.join(data_root,'P*'))
$ test_lst = [osp.basename(f) for f in test_lst]
$def load_datum(filename):
$ image = cv2.imread(osp.join(data_root,filename,filename)+'.jpg')
$ lsgs = sio.loadmat(osp.join(data_root,filename,filename)+'LinesAndVP.mat')['lines']
mainly changed target pic path and mat path. Then run OK

Thanks for your reply.
I did it like what you had done.
It's ok now.Thanks!!
My requirement is to train the images in outside scenes.
Have you train the "york" dataset?
I read the "afm_atrous.yaml" and "readme.md"，only "wireframe" can train,the "york" folder can only be tested.
The "wireframe" folder have the "train.json" ,while the "york" folder didn't
Do you have some ideas? thank you!
On the way of training .

from afm_cvpr2019.

I find the data struct is different from described on website.
So you read like this: 'P1020171/P1020171.jpg' and 'P1020171/P1020171LinesAndVP.mat'?
Also key_word "lines" is in *LinesAndVP.mat.

yes，it is different from described on website.
It's the same with 'P1020171/P1020171.jpg' and 'P1020171/P1020171LinesAndVP.mat'
The temporary solution is not to execute “python preparation_york.py”
Do you have some good ideas?
I modified code in preparation_york.py like :
$ test_lst = glob.glob(osp.join(data_root,'P*'))
$ test_lst = [osp.basename(f) for f in test_lst]
$def load_datum(filename):
$ image = cv2.imread(osp.join(data_root,filename,filename)+'.jpg')
$ lsgs = sio.loadmat(osp.join(data_root,filename,filename)+'LinesAndVP.mat')['lines']
mainly changed target pic path and mat path. Then run OK

Thanks for your reply.
I did it like what you had done.
It's ok now.Thanks!!
My requirement is to train the images in outside scenes.
Have you train the "york" dataset?
I read the "afm_atrous.yaml" and "readme.md"，only "wireframe" can train,the "york" folder can only be tested.
The "wireframe" folder have the "train.json" ,while the "york" folder didn't
Do you have some ideas? thank you!
On the way of training .

okay , I'm waiting for your reply~
If possible,My email is [email protected]
We can email each other~

from afm_cvpr2019.