Chongqing1_round1_train1_20191223
Webwith open (os. path. join ('data/chongqing1_round1_train1_20241223', 'annotations.json')) as f: round1_full = json. load (f) f. close with open (os. path. join ('data/chongqing1_round1_train1_20241223', … WebAug 16, 2024 · Issue-Label Bot is automatically applying the label bug to this issue, with a confidence of 0.71. Please mark this comment with 👍 or 👎 to give our bot feedback!. Links: app homepage, dashboard and code for this bot.
Chongqing1_round1_train1_20191223
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WebJan 7, 2024 · Recently, the feasibility study report for the Ankang-Chongqing section of the new Xi’an-Chongqing high-speed railway has been approved by the National … WebContribute to CharmingWang/LKRM development by creating an account on GitHub.
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WebJan 9, 2024 · 在训练自己的数据集时,难免要将数据集制作成标准数据集,现在主要流行的有两种coco和voc一,coco数据集以COCO2014为例:下载完COCO2014后进行解压后,目录如下:coco2014-images--train2014--val2014--test2014-annotations其中,images中的文件夹各自放置了训练、验证和测试的数据集图片。 Webimport os import csv def create_csv (dirname): path='./chongqing1_round1_testA_20241223/'+dirname+'/' name=os.listdir (path) with open (dirname+'.csv','w') as csvfile: writer=csv.writer (csvfile) writer.writerow ( ['data','label']) for n in name: if n [-4:]=='.jpg': print (n) writer.writerow ( …
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