Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-06-17 18:02:04 +02:00
parent 55bb905072
commit 58203e49c8
1 changed files with 9 additions and 0 deletions
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9
utils/utils.py
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@ -11,6 +11,7 @@ from PIL import Image
from tqdm import tqdm from tqdm import tqdm
from . import torch_utils from . import torch_utils
from . import parse_config
matplotlib.rc('font', **{'size': 12}) matplotlib.rc('font', **{'size': 12})
@ -489,6 +490,14 @@ def strip_optimizer_from_checkpoint(filename='weights/best.pt'):
torch.save(a, filename.replace('.pt', '_lite.pt')) torch.save(a, filename.replace('.pt', '_lite.pt'))
def extract_bounding_boxes(data_cfg='data/coco_64img.data'): # from utils.utils import *; extract_bounding_boxes()
# Extract bounding boxes into a new classification dataset
data_dict = parse_config.parse_data_cfg(data_cfg)
train_path = data_dict['train']
nc = int(data_dict['classes']) # number of classes
def coco_class_count(path='../coco/labels/train2014/'): def coco_class_count(path='../coco/labels/train2014/'):
# Histogram of occurrences per class # Histogram of occurrences per class
nc = 80 # number classes nc = 80 # number classes