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

ultralytics/yolo/v8/detect/predict.py

@@ -37,7 +37,7 @@ class DetectionPredictor(BasePredictor):
 
     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
@@ -69,7 +69,7 @@ class DetectionPredictor(BasePredictor):
                     f.write(('%g ' * len(line)).rstrip() % line + '\n')
             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.save_crop:
@@ -82,9 +82,9 @@ class DetectionPredictor(BasePredictor):
 
 
 def predict(cfg=DEFAULT_CFG, use_python=False):
-    model = cfg.model or "yolov8n.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.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:
@@ -95,5 +95,5 @@ def predict(cfg=DEFAULT_CFG, use_python=False):
         predictor.predict_cli()
 
 
-if __name__ == "__main__":
+if __name__ == '__main__':
     predict()