Mean and Std are zero

[keyxuliang]

=> loaded train set, 61161 images were found
Mean: 0.0000, 0.0000, 0.0000
Std: 0.0000, 0.0000, 0.0000
=> Epoch: 1 | LR 0.00025000
Not use all dataset.
Why is 0.0000?

[xsacha]

Probably a bug since it goes out of its way to compute these and ends up with zero. Training still works regardless.

[ZhongyuMa]

300W_LP: 0 files
300VW-3D: 217952 files
300W-Testset-3D: 600 files
AFLW2000-3D-Reannotated: 1998 files
Menpo-3D: 8955 files
why it not found images in 300W_LP data set??

[ZhongyuMa]

and the dataset is exits,the path is right

[dubrovin-sudo]

300W_LP: 0 files 300VW-3D: 217952 files 300W-Testset-3D: 600 files AFLW2000-3D-Reannotated: 1998 files Menpo-3D: 8955 files why it not found images in 300W_LP data set??

Hi @ZhongyuMa

Check that you folder tree looks like this and all landmarks in 300W_LP have .t7 format

  |-- 300VW-3D                
  |-- 300W-Testset-3D         
  |-- 300W_LP  
       |-- landmarks
             |-- *.t7    
  |-- AFLW2000-3D-Reannotated 
  `-- Menpo-3D

Then go to datasets/LS3DW_F.py and change lines 171-174

a = self.anno[i]
img_path = os.path.join(self.img_folder, self.anno[i].split('_')[0], self.anno[i][:-8] + '.jpg')
img = load_image(img_path)

to

from pathlib import Path
anno_path = Path(self.anno[i])
if 'landmarks' in str(anno_path):
   if 'pth' in str(anno_path):
      img_path = anno_path.parents[2] / anno_path.parts[-2] / (anno_path.stem + '.jpg')

elif '300W-Testset-3D' in str(anno_path):
   img_path = anno_path.parent / (anno_path.stem + '.png')

else: 
   img_path = anno_path.parent / (anno_path.stem + '.jpg')
img = load_image(str(img_path))