run_inference.py

import argparse
from asyncio.log import logger
from utils.ocr import prepare_batch_for_inference
from utils.inference_handler import handle
import logging
import os

if __name__ == "__main__":
    try:
        parser = argparse.ArgumentParser()
        parser.add_argument("--model_path", type=str)
        parser.add_argument("--images_path", type=str)
        args, _ = parser.parse_known_args()
        images_path = args.images_path
        image_files = os.listdir(images_path)
        images_path = [images_path+f'/{image_file}' for image_file in image_files]
        inference_batch = prepare_batch_for_inference(images_path)
        context = {"model_dir": args.model_path}
        handle(inference_batch,context)
    except Exception as err:
        os.makedirs('log', exist_ok=True)
        logging.basicConfig(filename='log/error_output.log', level=logging.ERROR,
                            format='%(asctime)s %(levelname)s %(name)s %(message)s')
        logger = logging.getLogger(__name__)
        logger.error(err)