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import pickle
import shutil
import struct
from pathlib import Path
import samplelib.SampleLoader
from core.interact import interact as io
from samplelib import Sample
from core import pathex
packed_faceset_filename = 'faceset.pak'
class PackedFaceset():
VERSION = 1
@staticmethod
def pack(samples_path):
samples_dat_path = samples_path / packed_faceset_filename
if samples_dat_path.exists():
io.log_info(f"{samples_dat_path} : file already exists !")
io.input("Press enter to continue and overwrite.")
as_person_faceset = False
dir_names = pathex.get_all_dir_names(samples_path)
if len(dir_names) != 0:
as_person_faceset = io.input_bool(f"{len(dir_names)} subdirectories found, process as person faceset?", True)
if as_person_faceset:
image_paths = []
for dir_name in dir_names:
image_paths += pathex.get_image_paths(samples_path / dir_name)
else:
image_paths = pathex.get_image_paths(samples_path)
samples = samplelib.SampleLoader.load_face_samples(image_paths)
samples_len = len(samples)
samples_configs = []
for sample in io.progress_bar_generator (samples, "Processing"):
sample_filepath = Path(sample.filename)
sample.filename = sample_filepath.name
if as_person_faceset:
sample.person_name = sample_filepath.parent.name
samples_configs.append ( sample.get_config() )
samples_bytes = pickle.dumps(samples_configs, 4)
of = open(samples_dat_path, "wb")
of.write ( struct.pack ("Q", PackedFaceset.VERSION ) )
of.write ( struct.pack ("Q", len(samples_bytes) ) )
of.write ( samples_bytes )
del samples_bytes #just free mem
del samples_configs
sample_data_table_offset = of.tell()
of.write ( bytes( 8*(samples_len+1) ) ) #sample data offset table
data_start_offset = of.tell()
offsets = []
for sample in io.progress_bar_generator(samples, "Packing"):
try:
if sample.person_name is not None:
sample_path = samples_path / sample.person_name / sample.filename
else:
sample_path = samples_path / sample.filename
with open(sample_path, "rb") as f:
b = f.read()
offsets.append ( of.tell() - data_start_offset )
of.write(b)
except:
raise Exception(f"error while processing sample {sample_path}")
offsets.append ( of.tell() )
of.seek(sample_data_table_offset, 0)
for offset in offsets:
of.write ( struct.pack("Q", offset) )
of.seek(0,2)
of.close()
if io.input_bool(f"Delete original files?", True):
for filename in io.progress_bar_generator(image_paths, "Deleting files"):
Path(filename).unlink()
if as_person_faceset:
for dir_name in io.progress_bar_generator(dir_names, "Deleting dirs"):
dir_path = samples_path / dir_name
try:
shutil.rmtree(dir_path)
except:
io.log_info (f"unable to remove: {dir_path} ")
@staticmethod
def unpack(samples_path):
samples_dat_path = samples_path / packed_faceset_filename
if not samples_dat_path.exists():
io.log_info(f"{samples_dat_path} : file not found.")
return
samples = PackedFaceset.load(samples_path)
for sample in io.progress_bar_generator(samples, "Unpacking"):
person_name = sample.person_name
if person_name is not None:
person_path = samples_path / person_name
person_path.mkdir(parents=True, exist_ok=True)
target_filepath = person_path / sample.filename
else:
target_filepath = samples_path / sample.filename
with open(target_filepath, "wb") as f:
f.write( sample.read_raw_file() )
samples_dat_path.unlink()
@staticmethod
def path_contains(samples_path):
samples_dat_path = samples_path / packed_faceset_filename
return samples_dat_path.exists()
@staticmethod
def load(samples_path):
samples_dat_path = samples_path / packed_faceset_filename
if not samples_dat_path.exists():
return None
f = open(samples_dat_path, "rb")
version, = struct.unpack("Q", f.read(8) )
if version != PackedFaceset.VERSION:
raise NotImplementedError
sizeof_samples_bytes, = struct.unpack("Q", f.read(8) )
samples_configs = pickle.loads ( f.read(sizeof_samples_bytes) )
samples = []
for sample_config in samples_configs:
sample_config = pickle.loads(pickle.dumps (sample_config))
samples.append ( Sample (**sample_config) )
offsets = [ struct.unpack("Q", f.read(8) )[0] for _ in range(len(samples)+1) ]
data_start_offset = f.tell()
f.close()
for i, sample in enumerate(samples):
start_offset, end_offset = offsets[i], offsets[i+1]
sample.set_filename_offset_size( str(samples_dat_path), data_start_offset+start_offset, end_offset-start_offset )
return samples
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