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			@ -313,8 +313,9 @@ class LoadImagesAndLabels(Dataset):  # for training/testing
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        if cache_labels or image_weights:  # cache labels for faster training
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            self.labels = [np.zeros((0, 5))] * n
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            extract_bounding_boxes = False
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            create_datasubset = False
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            pbar = tqdm(self.label_files, desc='Reading labels')
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            nm, nf, ne = 0, 0, 0  # number missing, number found, number empty
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            nm, nf, ne, ns = 0, 0, 0, 0  # number missing, number found, number empty, number datasubset
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            for i, file in enumerate(pbar):
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                try:
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                    with open(file, 'r') as f:
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			@ -330,6 +331,18 @@ class LoadImagesAndLabels(Dataset):  # for training/testing
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                    self.labels[i] = l
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                    nf += 1  # file found
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                    # Create subdataset (a smaller dataset)
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                    if create_datasubset and ns < 1E4:
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                        if ns == 0:
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                            create_folder(path='./datasubset')
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                            os.makedirs('./datasubset/images')
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                        exclude_classes = 43
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                        if exclude_classes not in l[:, 0]:
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                            ns += 1
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                            # shutil.copy(src=self.img_files[i], dst='./datasubset/images/')  # copy image
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                            with open('./datasubset/images.txt', 'a') as f:
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                                f.write(self.img_files[i] + '\n')
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                    # Extract object detection boxes for a second stage classifier
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                    if extract_bounding_boxes:
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                        p = Path(self.img_files[i])
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			@ -669,3 +682,10 @@ def convert_images2bmp():
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            '/Users/glennjocher/PycharmProjects/', '../')
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        with open(label_path.replace('5k', '5k_bmp'), 'w') as file:
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            file.write(lines)
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def create_folder(path='./new_folder'):
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    # Create folder
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    if os.path.exists(path):
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        shutil.rmtree(path)  # delete output folder
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    os.makedirs(path)  # make new output folder
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