Files
ai-training/constants.py
T
Alex Bezdieniezhnykh 538dc8efa9 train is ready
manual_run reuses train's export
add current_model to constants
2025-05-31 18:41:10 +03:00

43 lines
1.1 KiB
Python

from os import path
azaion = '/azaion'
prefix = 'azaion-'
images = 'images'
labels = 'labels'
data_dir = path.join(azaion, 'data')
data_images_dir = path.join(data_dir, images)
data_labels_dir = path.join(data_dir, labels)
processed_dir = path.join(azaion, 'data-processed')
processed_images_dir = path.join(processed_dir, images)
processed_labels_dir = path.join(processed_dir, labels)
corrupted_dir = path.join(azaion, 'data-corrupted')
corrupted_images_dir = path.join(corrupted_dir, images)
corrupted_labels_dir = path.join(corrupted_dir, labels)
sample_dir = path.join(azaion, 'data-sample')
datasets_dir = path.join(azaion, 'datasets')
models_dir = path.join(azaion, 'models')
date_format = '%Y-%m-%d'
checkpoint_file = 'checkpoint.txt'
checkpoint_date_format = '%Y-%m-%d %H:%M:%S'
CONFIG_FILE = 'config.yaml'
JPG_EXT = '.jpg'
TXT_EXT = '.txt'
OFFSET_FILE = 'offset.yaml'
SMALL_SIZE_KB = 3
CDN_CONFIG = 'cdn.yaml'
MODELS_FOLDER = 'models'
CURRENT_PT_MODEL = path.join(models_dir, f'{prefix[:-1]}.pt')
CURRENT_ONNX_MODEL = path.join(models_dir, f'{prefix[:-1]}.onnx')