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