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Add YOLOv5 dataset yamls (#207)

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Glenn Jocher 2023-01-10 18:33:44 +01:00 • committed by GitHub
parent e371e81aa0
commit c7629e93bd
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14 changed files with 2018 additions and 39 deletions
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21
ultralytics/yolo/engine/predictor.py
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@ -127,13 +127,26 @@ class BasePredictor:
if self.args.show:
self.args.show = check_imshow(warn=True)
if webcam:
self.args.show = check_imshow(warn=True)
self.dataset = LoadStreams(source, imgsz=imgsz, stride=stride, auto=pt, vid_stride=self.args.vid_stride)
self.dataset = LoadStreams(source,
imgsz=imgsz,
stride=stride,
auto=pt,
transforms=getattr(model.model, 'transforms', None),
vid_stride=self.args.vid_stride)
bs = len(self.dataset)
elif screenshot:
self.dataset = LoadScreenshots(source, imgsz=imgsz, stride=stride, auto=pt)
self.dataset = LoadScreenshots(source,
imgsz=imgsz,
stride=stride,
auto=pt,
transforms=getattr(model.model, 'transforms', None))
else:
self.dataset = LoadImages(source, imgsz=imgsz, stride=stride, auto=pt, vid_stride=self.args.vid_stride)
self.dataset = LoadImages(source,
imgsz=imgsz,
stride=stride,
auto=pt,
transforms=getattr(model.model, 'transforms', None),
vid_stride=self.args.vid_stride)
self.vid_path, self.vid_writer = [None] * bs, [None] * bs
model.warmup(imgsz=(1 if pt or model.triton else bs, 3, *imgsz)) # warmup