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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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33
ultralytics/models/yolo/pose/predict.py
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@ -2,10 +2,23 @@
from ultralytics.engine.results import Results
from ultralytics.models.yolo.detect.predict import DetectionPredictor
from ultralytics.utils import ASSETS, DEFAULT_CFG, LOGGER, ops
from ultralytics.utils import DEFAULT_CFG, LOGGER, ops
class PosePredictor(DetectionPredictor):
"""
A class extending the DetectionPredictor class for prediction based on a pose model.
Example:
```python
from ultralytics.utils import ASSETS
from ultralytics.models.yolo.pose import PosePredictor
args = dict(model='yolov8n-pose.pt', source=ASSETS)
predictor = PosePredictor(overrides=args)
predictor.predict_cli()
```
"""
def __init__(self, cfg=DEFAULT_CFG, overrides=None, _callbacks=None):
super().__init__(cfg, overrides, _callbacks)
@ -40,21 +53,3 @@ class PosePredictor(DetectionPredictor):
boxes=pred[:, :6],
keypoints=pred_kpts))
return results
def predict(cfg=DEFAULT_CFG, use_python=False):
"""Runs YOLO to predict objects in an image or video."""
model = cfg.model or 'yolov8n-pose.pt'
source = cfg.source or ASSETS
args = dict(model=model, source=source)
if use_python:
from ultralytics import YOLO
YOLO(model)(**args)
else:
predictor = PosePredictor(overrides=args)
predictor.predict_cli()
if __name__ == '__main__':
predict()