add *.jpeg support
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@ -1,5 +1,5 @@
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# pip3 install -U -r requirements.txt
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# conda install numpy opencv matplotlib tqdm && conda install pytorch torchvision -c pytorch
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# conda install numpy opencv matplotlib tqdm pillow && conda install pytorch torchvision -c pytorch
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numpy
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opencv-python
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torch >= 1.0.0
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@ -139,9 +139,11 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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assert n > 0, 'No images found in %s' % path
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self.img_size = img_size
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self.augment = augment
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self.label_files = [
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x.replace('images', 'labels').replace('.bmp', '.txt').replace('.jpg', '.txt').replace('.png', '.txt')
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for x in self.img_files]
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self.label_files = [x.replace('images', 'labels').
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replace('.jpeg', '.txt').
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replace('.jpg', '.txt').
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replace('.bmp', '.txt').
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replace('.png', '.txt') for x in self.img_files]
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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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