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#!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import detectron2.utils.comm as comm
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import get_cfg
from detectron2.engine import (default_argument_parser, default_setup, hooks,
launch)
from detectron2.evaluation import verify_results
from detectron2.utils.logger import setup_logger
from opendet2 import OpenDetTrainer, add_opendet_config, builtin
def setup(args):
"""
Create configs and perform basic setups.
"""
cfg = get_cfg()
# add opendet config
add_opendet_config(cfg)
cfg.merge_from_file(args.config_file)
cfg.merge_from_list(args.opts)
# Note: we use the key ROI_HEAD.NUM_KNOWN_CLASSES
# for open-set data processing and evaluation.
if 'RetinaNet' in cfg.MODEL.META_ARCHITECTURE:
cfg.MODEL.ROI_HEADS.NUM_KNOWN_CLASSES = cfg.MODEL.RETINANET.NUM_KNOWN_CLASSES
# add output dir if not exist
if cfg.OUTPUT_DIR == "./output":
config_name = os.path.basename(args.config_file).split(".yaml")[0]
cfg.OUTPUT_DIR = os.path.join(cfg.OUTPUT_DIR, config_name)
cfg.freeze()
default_setup(cfg, args)
setup_logger(output=cfg.OUTPUT_DIR,
distributed_rank=comm.get_rank(), name="opendet2")
return cfg
def main(args):
cfg = setup(args)
if args.eval_only:
model = OpenDetTrainer.build_model(cfg)
DetectionCheckpointer(model, save_dir=cfg.OUTPUT_DIR).resume_or_load(
cfg.MODEL.WEIGHTS, resume=args.resume
)
res = OpenDetTrainer.test(cfg, model)
if cfg.TEST.AUG.ENABLED:
res.update(OpenDetTrainer.test_with_TTA(cfg, model))
if comm.is_main_process():
verify_results(cfg, res)
return res
"""
If you'd like to do anything fancier than the standard training logic,
consider writing your own training loop (see plain_train_net.py) or
subclassing the trainer.
"""
trainer = OpenDetTrainer(cfg)
trainer.resume_or_load(resume=args.resume)
if cfg.TEST.AUG.ENABLED:
trainer.register_hooks(
[hooks.EvalHook(
0, lambda: trainer.test_with_TTA(cfg, trainer.model))]
)
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,),
)
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