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import shutil
from pathlib import Path
import hydra
import ultralytics
from ultralytics import yolo
from .utils import DEFAULT_CONFIG, LOGGER, colorstr
@hydra.main(version_base=None, config_path="configs", config_name="default")
def cli(cfg):
cwd = Path().cwd()
LOGGER.info(f"{colorstr(f'Ultralytics YOLO v{ultralytics.__version__}')}")
task, mode = cfg.task.lower(), cfg.mode.lower()
if task == "init": # special case
shutil.copy2(DEFAULT_CONFIG, cwd)
LOGGER.info(f"""
{colorstr("YOLO:")} configuration saved to {cwd / DEFAULT_CONFIG.name}.
To run experiments using custom configuration:
yolo task='task' mode='mode' --config-name config_file.yaml
""")
return
elif task == "detect":
module = yolo.v8.detect
elif task == "segment":
module = yolo.v8.segment
elif task == "classify":
module = yolo.v8.classify
elif task == "export":
func = yolo.engine.exporter.export
else:
raise SyntaxError("task not recognized. Choices are `'detect', 'segment', 'classify'`")
if mode == "train":
func = module.train
elif mode == "val":
func = module.val
elif mode == "predict":
func = module.predict
elif mode == "export":
func = yolo.engine.exporter.export
else:
raise SyntaxError("mode not recognized. Choices are `'train', 'val', 'predict', 'export'`")
func(cfg)