import os

# Pretrained models paths
e4e = './pti/e4e_w+.pt'
stylegan2_ada_shhq = './pretrained_models/stylegan_human_v2_1024.pkl'
ir_se50 = ''  # './model_ir_se50.pth'

# Dirs for output files
checkpoints_dir = './outputs/pti/checkpoints/'
embedding_base_dir = './outputs/pti/embeddings'
experiments_output_dir = './outputs/pti/'

# Input info
# Input dir, where the images reside
input_data_path = 'aligned_image/'
# Inversion identifier, used to keeping track of the inversion results. Both the latent code and the generator
input_data_id = 'test'

# Keywords
pti_results_keyword = 'PTI'
e4e_results_keyword = 'e4e'
sg2_results_keyword = 'SG2'
sg2_plus_results_keyword = 'SG2_Plus'
multi_id_model_type = 'multi_id'