SAE : WARNING, RETRAIN IS REQUIRED !

fixed model sizes from previous update.
avoided bug in ML framework(keras) that forces to train the model on random noise.

Converter: added blur on the same keys as sharpness

Added new model 'TrueFace'. This is a GAN model ported from https://github.com/NVlabs/FUNIT
Model produces near zero morphing and high detail face.
Model has higher failure rate than other models.
Keep src and dst faceset in same lighting conditions.
This commit is contained in:
Colombo 2019-09-19 11:13:56 +04:00
parent 201b762541
commit dc11ec32be
26 changed files with 1308 additions and 250 deletions

50
mainscripts/dev_misc.py Normal file
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from . import Extractor
from . import Sorter
from pathlib import Path
from utils import Path_utils
import shutil
from interact import interact as io
def extract_vggface2_dataset(input_dir, device_args={} ):
multi_gpu = device_args.get('multi_gpu', False)
cpu_only = device_args.get('cpu_only', False)
input_path = Path(input_dir)
if not input_path.exists():
raise ValueError('Input directory not found. Please ensure it exists.')
output_path = input_path.parent / (input_path.name + '_out')
dir_names = Path_utils.get_all_dir_names(input_path)
if not output_path.exists():
output_path.mkdir(parents=True, exist_ok=True)
for dir_name in dir_names:
cur_input_path = input_path / dir_name
cur_output_path = output_path / dir_name
io.log_info (f"Processing: {str(cur_input_path)} ")
if not cur_output_path.exists():
cur_output_path.mkdir(parents=True, exist_ok=True)
Extractor.main( str(cur_input_path),
str(cur_output_path),
detector='s3fd',
image_size=256,
face_type='full_face',
max_faces_from_image=1,
device_args=device_args )
io.log_info (f"Sorting: {str(cur_input_path)} ")
Sorter.main (input_path=str(cur_output_path), sort_by_method='hist')
try:
io.log_info (f"Removing: {str(cur_input_path)} ")
shutil.rmtree(cur_input_path)
except:
io.log_info (f"unable to remove: {str(cur_input_path)} ")