Cli support (#50)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

ultralytics/__init__.py

@@ -1 +1 @@
-__version__ = "0.0.1.dev0"
+__version__ = "8.0.0.dev0"

ultralytics/yolo/__init__.py

@@ -1,7 +1,39 @@
-import ultralytics.yolo.v8 as v8
+import hydra
+
+import ultralytics
+import ultralytics.yolo.v8 as yolo
 
 from .engine.model import YOLO
-from .engine.trainer import BaseTrainer
+from .engine.trainer import DEFAULT_CONFIG, BaseTrainer
 from .engine.validator import BaseValidator
+from .utils import LOGGER
 
 __all__ = ["BaseTrainer", "BaseValidator", "YOLO"]  # allow simpler import
+
+
+@hydra.main(version_base=None, config_path="utils/configs", config_name="default")
+def cli(cfg):
+    LOGGER.info(f"using Ultralytics YOLO v{ultralytics.__version__}")
+    module_file = None
+    if cfg.task.lower() == "detect":
+        module_file = yolo.detect
+    elif cfg.task.lower() == "segment":
+        module_file = yolo.segment
+    elif cfg.task.lower() == "classify":
+        module_file = yolo.classify
+
+    if not module_file:
+        raise Exception("task not recognized. Choices are `'detect', 'segment', 'classify'`")
+
+    module_function = None
+
+    if cfg.mode.lower() == "train":
+        module_function = module_file.train
+    elif cfg.mode.lower() == "val":
+        module_function = module_file.val
+    elif cfg.mode.lower() == "infer":
+        module_function = module_file.infer
+
+    if not module_function:
+        raise Exception("mode not recognized. Choices are `'train', 'val', 'infer'`")
+    module_function(cfg)

ultralytics/yolo/utils/configs/default.yaml

@@ -1,6 +1,9 @@
 # YOLO 🚀 by Ultralytics, GPL-3.0 license
 # Default training settings and hyperparameters for medium-augmentation COCO training
 
+# Task and Mode
+task: "classify" # choices=['detect', 'segment', 'classify']
+mode: "train" # choice=['train', 'val', 'infer']
 
 # Train settings -------------------------------------------------------------------------------------------------------
 model: null  # i.e. yolov5s.pt, yolo.yaml
@@ -36,7 +39,6 @@ max_det: 300
 half: True
 plots: False
 save_txt: False
-task: 'val'
 
 # Hyperparameters ------------------------------------------------------------------------------------------------------
 lr0: 0.001  # initial learning rate (SGD=1E-2, Adam=1E-3)

ultralytics/yolo/v8/classify/__init__.py

@@ -1,4 +1,4 @@
-from ultralytics.yolo.v8.classify.train import ClassificationTrainer
+from ultralytics.yolo.v8.classify.train import ClassificationTrainer, train
 from ultralytics.yolo.v8.classify.val import ClassificationValidator
 
 __all__ = ["train"]

ultralytics/yolo/v8/segment/__init__.py

@@ -1,2 +1,2 @@
-from ultralytics.yolo.v8.segment.train import SegmentationTrainer
+from ultralytics.yolo.v8.segment.train import SegmentationTrainer, train
 from ultralytics.yolo.v8.segment.val import SegmentationValidator