have anyone run this code? how it performances?

[redaghanem]

i am trying to run it but until now i get this error

/TP-GAN/net_input_everything_featparts.py in init(self, datasplit, Random, LOAD_60_LABEL, MIRROR_TO_ONE_SIDE, RANDOM_VERIFY, GENERATE_MASK, source, testing) 66 split_f = self.csvpath.format(source, self.split) 67 split_f_test = self.csvpath.format(source, 'test') ---> 68 self.indices = open(split_f, 'r').read().splitlines() 69 self.indices_test = open(split_f_test, 'r').read().splitlines() 70 self.size = len(self.indices)

FileNotFoundError: [Errno 2] No such file or directory: '/data/FS/train.csv'

[redaghanem]

log_file = open('/'.join( [tb.path,'train','log.txt'] ) , 'w' ) 24 ---> 25 train_img_list = open(config.train['train_img_list'],'r').read().split('\n') 26 train_img_list.pop() 27 val_img_list = open(config.train['val_img_list'],'r').read().split('\n')

FileNotFoundError: [Errno 2] No such file or directory: 'pretrain_train.list'

[unrealgeometry]

Code actually works, if you create image lists by yourself. Pick the right training protocol from original paper. For 90-degrees and for 60-degrees it is different.

[redaghanem]

Please can you tell me how to make this file and what structure of dataset should be

Floder subfolders files

Please help me

[unrealgeometry]

• to reproduce you need MultiPIE dataset
• to create correct list of files, you will need 5 (landmark) points annotations for subset of MultiPIE images, you can find paper authors zip-file with annotations, https://drive.google.com/open?id=1bbMH71SNnX09r7kZj7ExqRLTEUHZVkno
• format of this list files can be understood when you read pdf-description of MultiPIE dataset. Basically, it is a list of files with full path. This code then automatically detects frontal images by subfolder name '051'. See TrainDataset class source code.
• many answers can be found in tensorflow original implementation https://github.com/HRLTY/TP-GAN and their README
• you also need to pretrain LightCNN on MultiPIE faces. You need to create pretrain_train.list and it should be in the form .../_any_other_stuff.jpg as you may deriver from PretrainDataset source code: person_label = int( self.imglist[idx].split('/')[-1].split('')[0] )
• please, put some feedback here and frontalized images if you succeed, especially if you try it on new dataset or plan to verify some new ideas ;)

[xiyichen]

I am having trouble getting the MultiPIE dataset. How did you get it? When I clicked on their link it just says the page cannot be found.

[unrealgeometry]

MultiPIE is a private dataset. Maybe your scientific advisor can help if your work requires it.

[zcxxlshirley]

log_file = open('/'.join( [tb.path,'train','log.txt'] ) , 'w' ) 24 ---> 25 train_img_list = open(config.train['train_img_list'],'r').read().split('\n') 26 train_img_list.pop() 27 val_img_list = open(config.train['val_img_list'],'r').read().split('\n')

FileNotFoundError: [Errno 2] No such file or directory: 'pretrain_train.list'

Have you solved your problem? How did you solve it? about No such file or directory: 'pretrain_train.list' Thank U!

[MahmoodHB]

Hello to all. I am PhD student and developing the TPGAN code and if anyone interested in cooperating work with me to get better result. you can rech me via email or my github page. mahmood.bidir1985@gmail.com https://github.com/MahmoodHB