#!/usr/bin/env python # -------------------------------------------------------------------------------- # MPViT: Multi-Path Vision Transformer for Dense Prediction # Copyright (c) 2022 Electronics and Telecommunications Research Institute (ETRI). # All Rights Reserved. # Written by Youngwan Lee # -------------------------------------------------------------------------------- """ Detection Training Script for MPViT. """ from detectron2.checkpoint import DetectionCheckpointer from detectron2.config import get_cfg from detectron2.engine import default_argument_parser, default_setup, launch from detectron2.data.datasets import register_coco_instances from ditod import MyTrainer, add_vit_config def setup(args): """ Create configs and perform basic setups. """ cfg = get_cfg() # add_coat_config(cfg) add_vit_config(cfg) cfg.merge_from_file(args.config_file) cfg.merge_from_list(args.opts) cfg.freeze() default_setup(cfg, args) return cfg def main(args): register_coco_instances( "funsd_train", {}, "data/instances_training.json", "data/imgs" ) register_coco_instances( "funsd_test", {}, "data/instances_test.json", "data/imgs" ) cfg = setup(args) if args.eval_only: model = MyTrainer.build_model(cfg) DetectionCheckpointer(model, save_dir=cfg.OUTPUT_DIR).resume_or_load( cfg.MODEL.WEIGHTS, resume=args.resume ) res = MyTrainer.test(cfg, model) return res trainer = MyTrainer(cfg) trainer.resume_or_load(resume=args.resume) return trainer.train() if __name__ == "__main__": parser = default_argument_parser() parser.add_argument("--debug", action="store_true", help="enable debug mode") args = parser.parse_args() print("Command Line Args:", args) if args.debug: import debugpy print("Enabling attach starts.") debugpy.listen(address=('0.0.0.0', 9310)) debugpy.wait_for_client() print("Enabling attach ends.") launch( main, args.num_gpus, num_machines=args.num_machines, machine_rank=args.machine_rank, dist_url=args.dist_url, args=(args,), )