mirror of
https://github.com/facefusion/facefusion-labs.git
synced 2026-06-25 07:59:55 +02:00
harisreedhar
27 lines
1.1 KiB
Python
27 lines
1.1 KiB
Python
import os
|
|
from configparser import ConfigParser
|
|
|
|
|
|
import torch
|
|
|
|
from .training import FaceSwapperTrainer
|
|
|
|
CONFIG_PARSER = ConfigParser()
|
|
CONFIG_PARSER.read('config.ini')
|
|
|
|
|
|
def export() -> None:
|
|
config_directory_path = CONFIG_PARSER.get('exporting', 'directory_path')
|
|
config_source_path = CONFIG_PARSER.get('exporting', 'source_path')
|
|
config_target_path = CONFIG_PARSER.get('exporting', 'target_path')
|
|
config_output_size = CONFIG_PARSER.getint('training.model.generator', 'output_size')
|
|
config_ir_version = CONFIG_PARSER.getint('exporting', 'ir_version')
|
|
config_opset_version = CONFIG_PARSER.getint('exporting', 'opset_version')
|
|
|
|
os.makedirs(config_directory_path, exist_ok = True)
|
|
model = FaceSwapperTrainer.load_from_checkpoint(config_source_path, config_parser = CONFIG_PARSER, map_location = 'cpu').eval()
|
|
model.ir_version = torch.tensor(config_ir_version)
|
|
source_tensor = torch.randn(1, 512)
|
|
target_tensor = torch.randn(1, 3, config_output_size, config_output_size)
|
|
torch.onnx.export(model, (source_tensor, target_tensor), config_target_path, input_names = [ 'source', 'target' ], output_names = [ 'output', 'mask' ], opset_version = config_opset_version)
|