| | |
| | |
| |
|
| | """ |
| | TridentNet Training Script. |
| | |
| | This script is a simplified version of the training script in detectron2/tools. |
| | """ |
| |
|
| | import os |
| |
|
| | from detectron2.checkpoint import DetectionCheckpointer |
| | from detectron2.config import get_cfg |
| | from detectron2.engine import DefaultTrainer, default_argument_parser, default_setup, launch |
| | from detectron2.evaluation import COCOEvaluator |
| |
|
| | from tridentnet import add_tridentnet_config |
| |
|
| |
|
| | class Trainer(DefaultTrainer): |
| | @classmethod |
| | def build_evaluator(cls, cfg, dataset_name, output_folder=None): |
| | if output_folder is None: |
| | output_folder = os.path.join(cfg.OUTPUT_DIR, "inference") |
| | return COCOEvaluator(dataset_name, cfg, True, output_folder) |
| |
|
| |
|
| | def setup(args): |
| | """ |
| | Create configs and perform basic setups. |
| | """ |
| | cfg = get_cfg() |
| | add_tridentnet_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): |
| | cfg = setup(args) |
| |
|
| | if args.eval_only: |
| | model = Trainer.build_model(cfg) |
| | DetectionCheckpointer(model, save_dir=cfg.OUTPUT_DIR).resume_or_load( |
| | cfg.MODEL.WEIGHTS, resume=args.resume |
| | ) |
| | res = Trainer.test(cfg, model) |
| | return res |
| |
|
| | trainer = Trainer(cfg) |
| | trainer.resume_or_load(resume=args.resume) |
| | return trainer.train() |
| |
|
| |
|
| | if __name__ == "__main__": |
| | args = default_argument_parser().parse_args() |
| | print("Command Line Args:", args) |
| | launch( |
| | main, |
| | args.num_gpus, |
| | num_machines=args.num_machines, |
| | machine_rank=args.machine_rank, |
| | dist_url=args.dist_url, |
| | args=(args,), |
| | ) |
| |
|
