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Update .pre-commit-config.yaml (#1026)

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Glenn Jocher 2023-02-17 22:26:40 +01:00 • committed by GitHub
parent 9047d737f4
commit edd3ff1669
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76 changed files with 928 additions and 935 deletions
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12
ultralytics/yolo/v8/segment/predict.py
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@ -39,7 +39,7 @@ class SegmentationPredictor(DetectionPredictor):
def write_results(self, idx, results, batch):
p, im, im0 = batch
log_string = ""
log_string = ''
if len(im.shape) == 3:
im = im[None] # expand for batch dim
self.seen += 1
@ -84,7 +84,7 @@ class SegmentationPredictor(DetectionPredictor):
if self.args.save or self.args.save_crop or self.args.show: # Add bbox to image
c = int(cls) # integer class
name = f"id:{int(d.id.item())} {self.model.names[c]}" if d.id is not None else self.model.names[c]
name = f'id:{int(d.id.item())} {self.model.names[c]}' if d.id is not None else self.model.names[c]
label = None if self.args.hide_labels else (name if self.args.hide_conf else f'{name} {conf:.2f}')
self.annotator.box_label(d.xyxy.squeeze(), label, color=colors(c, True)) if self.args.boxes else None
if self.args.save_crop:
@ -97,9 +97,9 @@ class SegmentationPredictor(DetectionPredictor):
def predict(cfg=DEFAULT_CFG, use_python=False):
model = cfg.model or "yolov8n-seg.pt"
source = cfg.source if cfg.source is not None else ROOT / "assets" if (ROOT / "assets").exists() \
else "https://ultralytics.com/images/bus.jpg"
model = cfg.model or 'yolov8n-seg.pt'
source = cfg.source if cfg.source is not None else ROOT / 'assets' if (ROOT / 'assets').exists() \
else 'https://ultralytics.com/images/bus.jpg'
args = dict(model=model, source=source)
if use_python:
@ -110,5 +110,5 @@ def predict(cfg=DEFAULT_CFG, use_python=False):
predictor.predict_cli()
if __name__ == "__main__":
if __name__ == '__main__':
predict()