Question about texture_mean and texture_basis about photometric_optimization HOT 4 CLOSED

Hey,

so I looked into the code and I think you can calculate/get those numpy arrays on your own.
Here is what I did:

1. Get the Texture space from the official FLAME website
2. Extract the zip file and execute the following script:

import numpy as np
tex_space = np.load('./FLAME_texture.npz')
tex_mean = tex_space['mean']
tex_basis = tex_space['tex_dir']
np.save('./texture_mean_image_completed.npy', np.reshape(tex_mean, (1, -1)))
np.save('./texture_basis_images_completed.npy', np.reshape(tex_basis, (-1, 200))[:, :50])

This should generate the necessary files. Keep in mind that only the 50 first principal components of the texture space are used by default. If you want to use all 200 principle components of the texture space just remove the [:, :50] above and exchange the value of tex_params at the beginning of the __main__ function with the value of 200.

from photometric_optimization.

same question,not found

from photometric_optimization.

Thanks for pointing it out. It's a version legacy issue, I've adapted the codes to FLAME_texture.npz as input, also fixed a texture space color range bug.

from photometric_optimization.

Could anyone tell me where to download the FLAME_texture.npz, is it one of the two :

from photometric_optimization.