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48 lines
1.5 KiB
48 lines
1.5 KiB
import os
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import shutil
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import hydra
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import ultralytics
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import ultralytics.yolo.v8 as yolo
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from ultralytics.yolo.engine.trainer import DEFAULT_CONFIG
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from .utils import LOGGER, colorstr
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@hydra.main(version_base=None, config_path="utils/configs", config_name="default")
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def cli(cfg):
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LOGGER.info(f"{colorstr(f'Ultralytics YOLO v{ultralytics.__version__}')}")
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module_file = None
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if cfg.task.lower() == "init": # special case
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shutil.copy2(DEFAULT_CONFIG, os.getcwd())
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LOGGER.info(f"""
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{colorstr("YOLO :")} configuration saved to {os.getcwd()}/{DEFAULT_CONFIG.name}.
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To run experiments using custom configuration:
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yolo task='task' mode='mode' --config-name config_file.yaml
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""")
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return
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elif cfg.task.lower() == "detect":
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module_file = yolo.detect
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elif cfg.task.lower() == "segment":
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module_file = yolo.segment
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elif cfg.task.lower() == "classify":
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module_file = yolo.classify
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if not module_file:
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raise Exception("task not recognized. Choices are `'detect', 'segment', 'classify'`")
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module_function = None
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if cfg.mode.lower() == "train":
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module_function = module_file.train
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elif cfg.mode.lower() == "val":
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module_function = module_file.val
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elif cfg.mode.lower() == "predict":
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module_function = module_file.predict
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if not module_function:
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raise Exception("mode not recognized. Choices are `'train', 'val', 'predict'`")
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module_function(cfg)
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