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ultralytics 8.0.158 add benchmarks to coverage (#4432)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
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Glenn Jocher 2023-08-20 20:52:30 +02:00 • committed by GitHub
parent 495806565d
commit 87ce15d383
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51 changed files with 352 additions and 482 deletions
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27
ultralytics/models/yolo/segment/val.py
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@ -15,6 +15,18 @@ from ultralytics.utils.plotting import output_to_target, plot_images
class SegmentationValidator(DetectionValidator):
"""
A class extending the DetectionValidator class for validation based on a segmentation model.
Example:
```python
from ultralytics.models.yolo.segment import SegmentationValidator
args = dict(model='yolov8n-seg.pt', data='coco8-seg.yaml')
validator = SegmentationValidator(args=args)
validator(model=args['model'])
```
"""
def __init__(self, dataloader=None, save_dir=None, pbar=None, args=None, _callbacks=None):
"""Initialize SegmentationValidator and set task to 'segment', metrics to SegmentMetrics."""
@ -233,18 +245,11 @@ class SegmentationValidator(DetectionValidator):
return stats
def val(cfg=DEFAULT_CFG, use_python=False):
def val(cfg=DEFAULT_CFG):
"""Validate trained YOLO model on validation data."""
model = cfg.model or 'yolov8n-seg.pt'
data = cfg.data or 'coco8-seg.yaml'
args = dict(model=model, data=data)
if use_python:
from ultralytics import YOLO
YOLO(model).val(**args)
else:
validator = SegmentationValidator(args=args)
validator(model=args['model'])
args = dict(model=cfg.model or 'yolov8n-seg.pt', data=cfg.data or 'coco8-seg.yaml')
validator = SegmentationValidator(args=args)
validator(model=args['model'])
if __name__ == '__main__':