mirror of
https://github.com/azaion/ai-training.git
synced 2026-04-22 05:26:36 +00:00
Alex Bezdieniezhnykh
32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
import shutil
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from datetime import datetime
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from os import path
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from constants import models_dir, prefix, date_format, MODELS_FOLDER
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from api_client import ApiClient
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from augmentation import Augmentator
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from exports import export_onnx
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from security import Security
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# Augmentator().augment_annotations()
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#train_dataset(from_scratch=True)
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# resume_training('/azaion/dev/ai-training/runs/detect/train12/weights/last.pt')
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result_dir = '/azaion/dev/ai-training/runs/detect/train12'
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model_dir = path.join(models_dir, f'{prefix}2025-05-18')
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shutil.copytree(result_dir, model_dir, dirs_exist_ok=True)
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model_path = path.join(models_dir, f'{prefix[:-1]}.pt')
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shutil.copy(path.join(model_dir, 'weights', 'best.pt'), model_path)
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api_client = ApiClient()
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onnx_path = export_onnx(model_path)
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print(f'Conversion done: onnx path: {onnx_path}')
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with open(onnx_path, 'rb') as binary_file:
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onnx_bytes = binary_file.read()
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key = Security.get_model_encryption_key()
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api_client.upload_big_small_resource(onnx_bytes, onnx_path, MODELS_FOLDER, key)
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