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from pycocotools.coco import COCO dataType=’train2017′ annFile=’./data/coco/annotations/instances_{}.json’.format(dataType) coco=COCO(annFile) img_ids_0 = coco.getImgIds(catIds=[]) img_ids_1 = coco.imgToAnns.keys() print("img_ids_0: {}".format(len(img_ids_0))) print("img_ids_1: {}".format(len(img_ids_1))) Running the code …
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Output of a CNN is (13 * 13 * 5 * 25) tensor. assuming 5 anchor boxes and 20 classes …
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