updates
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@ -11,6 +11,7 @@ from PIL import Image
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from tqdm import tqdm
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from . import torch_utils
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from . import parse_config
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matplotlib.rc('font', **{'size': 12})
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@ -489,6 +490,14 @@ def strip_optimizer_from_checkpoint(filename='weights/best.pt'):
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torch.save(a, filename.replace('.pt', '_lite.pt'))
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def extract_bounding_boxes(data_cfg='data/coco_64img.data'): # from utils.utils import *; extract_bounding_boxes()
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# Extract bounding boxes into a new classification dataset
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data_dict = parse_config.parse_data_cfg(data_cfg)
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train_path = data_dict['train']
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nc = int(data_dict['classes']) # number of classes
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def coco_class_count(path='../coco/labels/train2014/'):
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# Histogram of occurrences per class
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nc = 80 # number classes
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