Fix single-image dataset failure mode (#11694)
Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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2 changed files with 3 additions and 3 deletions
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@ -54,8 +54,8 @@ def test_export(model):
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def test_rtdetr(task="detect", model="yolov8n-rtdetr.yaml", data="coco8.yaml"):
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"""Test the RTDETR functionality with the Ultralytics framework."""
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# Warning: MUST use imgsz=640
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run(f"yolo train {task} model={model} data={data} --imgsz= 160 epochs =1, cache = disk") # add coma, spaces to args
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# Warning: must use imgsz=640 (note also add coma, spaces, fraction=0.25 args to test single-image training)
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run(f"yolo train {task} model={model} data={data} --imgsz= 160 epochs =1, cache = disk fraction=0.25")
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run(f"yolo predict {task} model={model} source={ASSETS / 'bus.jpg'} imgsz=160 save save_crop save_txt")
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@ -170,7 +170,7 @@ class BaseDataset(Dataset):
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if self.augment:
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self.ims[i], self.im_hw0[i], self.im_hw[i] = im, (h0, w0), im.shape[:2] # im, hw_original, hw_resized
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self.buffer.append(i)
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if len(self.buffer) >= self.max_buffer_length:
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if 1 < len(self.buffer) >= self.max_buffer_length: # prevent empty buffer
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j = self.buffer.pop(0)
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if self.cache != "ram":
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self.ims[j], self.im_hw0[j], self.im_hw[j] = None, None, None
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