Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Question about the organization of the FaceScape Dataset #9

Open
HowieMa opened this issue Sep 30, 2022 · 3 comments
Open

Question about the organization of the FaceScape Dataset #9

HowieMa opened this issue Sep 30, 2022 · 3 comments

Comments

@HowieMa
Copy link

HowieMa commented Sep 30, 2022

Dear authors of MofaNeRF,
Thank you for sharing such an amazing project! I have some questions about the subject IDs, and I sincerely hope you could help me solve it.

When I download the FaceScape, it has two separate files for training and testing, as shown below:
image
Thus, I'd like to know whether we need to combine these two folders together before we run the training code.

In detail, the current folder is organized as:

--train/
---- multi-view-images/
------ 102/
------ 103/
------ ......
---- texture/
--test/
---- multi-view-images/
------101/
------ 14/
------ ......
---- texture/

Should I put them in the following style:

--Root/
---- multi-view-images/
------ 102/
------ 103/
------101/
------ 14/
------ ......
---- texture/
------ ......

I have this question because I find that there are some subject IDs in the training folder and some IDs in the testing folder in the function getValidPerson. For example, ID 39 is in the testing folder and ID 52 is in the training folder.

Look forward to your reply, thanks!

Attached are all the training subjects and testing subjects:

Train:
'102', '103', '104', '106', '107', '108', '109', '112', '113', '115', '116', '117', '118', '119', '121', '122', '123', '124', '125', '126', '16', '160', '17', '18', '19', '20', '237', '238', '240', '241', '242', '244', '245', '246', '248', '249', '252', '253', '254', '255', '256', '257', '258', '259', '260', '261', '262', '263', '264', '265', '266', '267', '268', '269', '270', '271', '272', '273', '275', '277', '278', '279', '280', '281', '282', '283', '285', '286', '287', '289', '290', '291', '292', '293', '295', '296', '298', '302', '304', '306', '308', '309', '311', '312', '313', '315', '316', '317', '318', '320', '321', '322', '324', '325', '327', '328', '329', '33', '330', '331', '332', '334', '335', '336', '337', '339', '34', '340', '341', '342', '343', '344', '345', '346', '347', '348', '349', '35', '351', '352', '353', '354', '355', '357', '358', '359', '36', '361', '362', '365', '366', '367', '368', '369', '37', '370', '371', '372', '373', '374', '375', '376', '377', '378', '379', '38', '380', '381', '385', '386', '387', '389', '390', '392', '393', '394', '395', '396', '397', '398', '399', '400', '401', '402', '408', '41', '410', '412', '413', '414', '416', '417', '421', '422', '425', '427', '429', '431', '432', '433', '434', '436', '437', '438', '439', '44', '440', '441', '442', '443', '444', '445', '447', '450', '451', '452', '455', '456', '457', '458', '459', '46', '460', '461', '462', '463', '47', '48', '506', '52', '523', '524', '525', '527', '528', '529', '53', '530', '531', '532', '533', '534', '535', '536', '538', '540', '541', '543', '544', '547', '549', '55', '552', '554', '555', '556', '557', '559', '56', '563', '564', '565', '567', '568', '569', '570', '571', '572', '575', '577', '578', '587', '588', '592', '600', '604', '606', '607', '609', '61', '610', '611', '612', '615', '619', '62', '620', '622', '623', '624', '626', '627', '63', '66', '68', '69', '70', '72', '725', '728', '733', '74', '76', '77', '78', '79', '80', '81', '83', '84', '86', '87', '88', '89', '90', '91', '92', '93', '96', '97'

Test:
'101', '14', '15', '239', '247', '274', '276', '294', '301', '303', '307', '319', '326', '356', '360', '363', '364', '388', '39', '391', '40', '403', '405', '406', '407', '411', '415', '419', '42', '420', '423', '424', '426', '43', '446', '448', '45', '454', '464', '537', '54', '542', '546', '562', '566', '57', '576', '60', '602', '603', '613', '616', '65', '722', '73', '734', '85', '94', '95'

@HowieMa
Copy link
Author

HowieMa commented Sep 30, 2022

Besides, may I ask where I can find the "factors_id.npy" file as in the function load_bmData()? Thanks!

@ohjarwa
Copy link

ohjarwa commented Nov 1, 2022

Besides, may I ask where I can find the "factors_id.npy" file as in the function load_bmData()? Thanks!

Hi! I met the same question. Have you solved the problem?

@hmppt
Copy link

hmppt commented Mar 2, 2023

此外,请问在哪里可以找到函数load_bmData()中的“factors_id.npy”文件?谢谢!
在mofanerf_trainset或者mofanerf_testset目录里就可以找到

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants