本文整理汇总了Python中pycocotools.coco.COCO.createIndex方法的典型用法代码示例。如果您正苦于以下问题：Python COCO.createIndex方法的具体用法？Python COCO.createIndex怎么用？Python COCO.createIndex使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pycocotools.coco.COCO的用法示例。
在下文中一共展示了COCO.createIndex方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: validate
# 需要导入模块: from pycocotools.coco import COCO [as 别名]
# 或者: from pycocotools.coco.COCO import createIndex [as 别名]
def validate(val_loader, model, i, silence=False):
batch_time = AverageMeter()
coco_gt = val_loader.dataset.coco
coco_pred = COCO()
coco_pred.dataset['images'] = [img for img in coco_gt.datasets['images']]
coco_pred.dataset['categories'] = copy.deepcopy(coco_gt.dataset['categories'])
id = 0
# switch to evaluate mode
model.eval()
end = time.time()
for i, (inputs, anns) in enumerate(val_loader):
# forward images one by one (TODO: support batch mode later, or
# multiprocess)
for j, input in enumerate(inputs):
input_anns= anns[j] # anns of this input
gt_bbox= np.vstack([ann['bbox'] + [ann['ordered_id']] for ann in input_anns])
im_info= [[input.size(1), input.size(2),
input_anns[0]['scale_ratio']]]
input_var= Variable(input.unsqueeze(0),
requires_grad=False).cuda()
cls_prob, bbox_pred, rois = model(input_var, im_info)
scores, pred_boxes = model.interpret_outputs(cls_prob, bbox_pred, rois, im_info)
print(scores, pred_boxes)
# for i in range(scores.shape[0]):
# measure elapsed time
batch_time.update(time.time() - end)
end= time.time()
coco_pred.createIndex()
coco_eval = COCOeval(coco_gt, coco_pred, 'bbox')
coco_eval.params.imgIds= sorted(coco_gt.getImgIds())
coco_eval.evaluate()
coco_eval.accumulate()
coco_eval.summarize()
print('iter: [{0}] '
'Time {batch_time.avg:.3f} '
'Val Stats: {1}'
.format(i, coco_eval.stats,
batch_time=batch_time))
return coco_eval.stats[0]示例2: createIndex
# 需要导入模块: from pycocotools.coco import COCO [as 别名]
# 或者: from pycocotools.coco.COCO import createIndex [as 别名]
def createIndex(self):
"""
Didn't change the original method, just call super
"""
return COCO.createIndex(self)