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@ -144,14 +144,15 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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for x in self.img_files]
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# Rectangular Training https://github.com/ultralytics/yolov3/issues/232
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self.train_rectangular = False
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self.train_rectangular = True
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if self.train_rectangular:
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bi = np.floor(np.arange(n) / batch_size).astype(np.int) # batch index
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nb = bi[-1] # number of batches
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nb = bi[-1] + 1 # number of batches
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from PIL import Image
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# Read image aspect ratios
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s = np.array([Image.open(f).size for f in tqdm(self.img_files, desc='Reading image shapes')])
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iter = tqdm(self.img_files, desc='Reading image shapes') if n > 100 else self.img_files
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s = np.array([Image.open(f).size for f in iter])
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ar = s[:, 1] / s[:, 0] # aspect ratio
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# Sort by aspect ratio
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