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# Ultralytics YOLO 🚀, GPL-3.0 license
import shutil
from pathlib import Path
import hydra
from ultralytics import hub, yolo
from ultralytics.yolo.utils import DEFAULT_CONFIG, LOGGER, colorstr
DIR = Path(__file__).parent
@hydra.main(version_base=None, config_path=str(DEFAULT_CONFIG.parent.relative_to(DIR)), config_name=DEFAULT_CONFIG.name)
def cli(cfg):
"""
Run a specified task and mode with the given configuration.
Args:
cfg (DictConfig): Configuration for the task and mode.
"""
# LOGGER.info(f"{colorstr(f'Ultralytics YOLO v{ultralytics.__version__}')}")
task, mode = cfg.task.lower(), cfg.mode.lower()
# Special case for initializing the configuration
if task == "init":
shutil.copy2(DEFAULT_CONFIG, Path.cwd())
LOGGER.info(f"""
{colorstr("YOLO:")} configuration saved to {Path.cwd() / DEFAULT_CONFIG.name}.
To run experiments using custom configuration:
yolo task='task' mode='mode' --config-name config_file.yaml
""")
return
# Mapping from task to module
task_module_map = {"detect": yolo.v8.detect, "segment": yolo.v8.segment, "classify": yolo.v8.classify}
module = task_module_map.get(task)
if not module:
raise SyntaxError(f"task not recognized. Choices are {', '.join(task_module_map.keys())}")
# Mapping from mode to function
mode_func_map = {
"train": module.train,
"val": module.val,
"predict": module.predict,
"export": yolo.engine.exporter.export,
"checks": hub.checks}
func = mode_func_map.get(mode)
if not func:
raise SyntaxError(f"mode not recognized. Choices are {', '.join(mode_func_map.keys())}")
func(cfg)
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