New scale_segments() function (#9570)

* Rename scale_coords to scale_boxes

* add scale_segments

segment/predict.py

@@ -42,7 +42,7 @@ ROOT = Path(os.path.relpath(ROOT, Path.cwd()))  # relative
 from models.common import DetectMultiBackend
 from utils.dataloaders import IMG_FORMATS, VID_FORMATS, LoadImages, LoadScreenshots, LoadStreams
 from utils.general import (LOGGER, Profile, check_file, check_img_size, check_imshow, check_requirements, colorstr, cv2,
-                           increment_path, non_max_suppression, print_args, scale_coords, strip_optimizer, xyxy2xywh)
+                           increment_path, non_max_suppression, print_args, scale_boxes, strip_optimizer, xyxy2xywh)
 from utils.plots import Annotator, colors, save_one_box
 from utils.segment.general import process_mask
 from utils.torch_utils import select_device, smart_inference_mode
@@ -152,7 +152,7 @@ def run(
                 masks = process_mask(proto[i], det[:, 6:], det[:, :4], im.shape[2:], upsample=True)  # HWC
 
                 # Rescale boxes from img_size to im0 size
-                det[:, :4] = scale_coords(im.shape[2:], det[:, :4], im0.shape).round()
+                det[:, :4] = scale_boxes(im.shape[2:], det[:, :4], im0.shape).round()
 
                 # Print results
                 for c in det[:, 5].unique():