mirror of
https://github.com/facefusion/facefusion-labs.git
synced 2026-05-22 23:59:40 +02:00
harisreedhar
26 lines
1.1 KiB
Python
26 lines
1.1 KiB
Python
import os
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from configparser import ConfigParser
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import torch
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from .training import FaceSwapperTrainer
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CONFIG_PARSER = ConfigParser()
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CONFIG_PARSER.read('config.ini')
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def export() -> None:
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config_directory_path = CONFIG_PARSER.get('exporting', 'directory_path')
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config_source_path = CONFIG_PARSER.get('exporting', 'source_path')
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config_target_path = CONFIG_PARSER.get('exporting', 'target_path')
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config_target_size = CONFIG_PARSER.getint('exporting', 'target_size')
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config_ir_version = CONFIG_PARSER.getint('exporting', 'ir_version')
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config_opset_version = CONFIG_PARSER.getint('exporting', 'opset_version')
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os.makedirs(config_directory_path, exist_ok = True)
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model = FaceSwapperTrainer.load_from_checkpoint(config_source_path, config_parser = CONFIG_PARSER, map_location = 'cpu').eval()
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model.ir_version = torch.tensor(config_ir_version)
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source_tensor = torch.randn(1, 512)
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target_tensor = torch.randn(1, 3, config_target_size, config_target_size)
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torch.onnx.export(model, (source_tensor, target_tensor), config_target_path, input_names = [ 'source', 'target' ], output_names = [ 'output', 'mask' ], opset_version = config_opset_version)
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