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@ -146,9 +146,9 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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# Rectangular Training https://github.com/ultralytics/yolov3/issues/232
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self.pad_rectangular = rect
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if self.pad_rectangular:
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from PIL import Image
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bi = np.floor(np.arange(n) / batch_size).astype(np.int) # batch index
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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 shapes
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sp = 'data' + os.sep + path.replace('.txt', '.shapes').split(os.sep)[-1] # shapefile path
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