Files
ai-training/constants.py
T
Alex Bezdieniezhnykh b4a4826b19 add rabbit consumer
2025-03-05 20:58:33 +02:00

38 lines
1.1 KiB
Python

from os import path
from dto.annotationClass import AnnotationClass
azaion = '/azaion'
prefix = 'azaion-'
images = 'images'
labels = 'labels'
data_dir = path.join(azaion, 'data')
data_seeds_dir = path.join(azaion, 'data-seeds')
data_rabbit_dir = path.join(azaion, 'data-rabbit')
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')
annotation_classes = AnnotationClass.read_json()
date_format = '%Y-%m-%d'
checkpoint_file = 'checkpoint.txt'
checkpoint_date_format = '%Y-%m-%d %H:%M:%S'
CONFIG_FILE = 'config.yaml'
ANNOTATIONS_QUEUE = 'azaion-annotations'
ANNOTATIONS_CONFIRMED_QUEUE = 'azaion-annotations-confirm'
OFFSET_FILE = 'offset.yaml'