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Python boxes.clip_boxes_to_image方法代码示例

本文整理汇总了Python中detectron.utils.boxes.clip_boxes_to_image方法的典型用法代码示例。如果您正苦于以下问题:Python boxes.clip_boxes_to_image方法的具体用法?Python boxes.clip_boxes_to_image怎么用?Python boxes.clip_boxes_to_image使用的例子?那么, 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detectron.utils.boxes的用法示例。


在下文中一共展示了boxes.clip_boxes_to_image方法的3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: _add_proposals_from_file

# 需要导入模块: from detectron.utils import boxes [as 别名]
# 或者: from detectron.utils.boxes import clip_boxes_to_image [as 别名]
def _add_proposals_from_file(
        self, roidb, proposal_file, min_proposal_size, top_k, crowd_thresh
    ):
        """Add proposals from a proposals file to an roidb."""
        logger.info('Loading proposals from: {}'.format(proposal_file))
        proposals = load_object(proposal_file)

        id_field = 'indexes' if 'indexes' in proposals else 'ids'  # compat fix
        _sort_proposals(proposals, id_field)
        box_list = []
        for i, entry in enumerate(roidb):
            if i % 2500 == 0:
                logger.info(' {:d}/{:d}'.format(i + 1, len(roidb)))
            boxes = proposals['boxes'][i]
            # Sanity check that these boxes are for the correct image id
            assert entry['id'] == proposals[id_field][i]
            # Remove duplicate boxes and very small boxes and then take top k
            boxes = box_utils.clip_boxes_to_image(
                boxes, entry['height'], entry['width']
            )
            keep = box_utils.unique_boxes(boxes)
            boxes = boxes[keep, :]
            keep = box_utils.filter_small_boxes(boxes, min_proposal_size)
            boxes = boxes[keep, :]
            if top_k > 0:
                boxes = boxes[:top_k, :]
            box_list.append(boxes)
        _merge_proposal_boxes_into_roidb(roidb, box_list)
        if crowd_thresh > 0:
            _filter_crowd_proposals(roidb, crowd_thresh) 
开发者ID:yihui-he,项目名称:KL-Loss,代码行数:32,代码来源:json_dataset.py

示例2: _add_proposals_from_file

# 需要导入模块: from detectron.utils import boxes [as 别名]
# 或者: from detectron.utils.boxes import clip_boxes_to_image [as 别名]
def _add_proposals_from_file(
        self, roidb, proposal_file, min_proposal_size, top_k, crowd_thresh
    ):
        """Add proposals from a proposals file to an roidb."""
        logger.info('Loading proposals from: {}'.format(proposal_file))
        with open(proposal_file, 'r') as f:
            proposals = pickle.load(f)
        id_field = 'indexes' if 'indexes' in proposals else 'ids'  # compat fix
        _sort_proposals(proposals, id_field)
        box_list = []
        for i, entry in enumerate(roidb):
            if i % 2500 == 0:
                logger.info(' {:d}/{:d}'.format(i + 1, len(roidb)))
            boxes = proposals['boxes'][i]
            # Sanity check that these boxes are for the correct image id
            assert entry['id'] == proposals[id_field][i]
            # Remove duplicate boxes and very small boxes and then take top k
            boxes = box_utils.clip_boxes_to_image(
                boxes, entry['height'], entry['width']
            )
            keep = box_utils.unique_boxes(boxes)
            boxes = boxes[keep, :]
            keep = box_utils.filter_small_boxes(boxes, min_proposal_size)
            boxes = boxes[keep, :]
            if top_k > 0:
                boxes = boxes[:top_k, :]
            box_list.append(boxes)
        _merge_proposal_boxes_into_roidb(roidb, box_list)
        if crowd_thresh > 0:
            _filter_crowd_proposals(roidb, crowd_thresh) 
开发者ID:fyangneil,项目名称:Clustered-Object-Detection-in-Aerial-Image,代码行数:32,代码来源:json_dataset.py

示例3: _add_proposals_from_file

# 需要导入模块: from detectron.utils import boxes [as 别名]
# 或者: from detectron.utils.boxes import clip_boxes_to_image [as 别名]
def _add_proposals_from_file(
        self, roidb, proposal_file, min_proposal_size, top_k, crowd_thresh
    ):
        """Add proposals from a proposals file to an roidb."""
        logger.info('Loading proposals from: {}'.format(proposal_file))
        proposals = load_object(proposal_file)

        id_field = 'indexes' if 'indexes' in proposals else 'ids'  # compat fix

        _remove_proposals_not_in_roidb(proposals, roidb, id_field)
        _sort_proposals(proposals, id_field)
        box_list = []
        for i, entry in enumerate(roidb):
            if i % 2500 == 0:
                logger.info(' {:d}/{:d}'.format(i + 1, len(roidb)))
            boxes = proposals['boxes'][i]
            # Sanity check that these boxes are for the correct image id
            assert entry['id'] == proposals[id_field][i]
            # Remove duplicate boxes and very small boxes and then take top k
            boxes = box_utils.clip_boxes_to_image(
                boxes, entry['height'], entry['width']
            )
            keep = box_utils.unique_boxes(boxes)
            boxes = boxes[keep, :]
            keep = box_utils.filter_small_boxes(boxes, min_proposal_size)
            boxes = boxes[keep, :]
            if top_k > 0:
                boxes = boxes[:top_k, :]
            box_list.append(boxes)
        _merge_proposal_boxes_into_roidb(roidb, box_list)
        if crowd_thresh > 0:
            _filter_crowd_proposals(roidb, crowd_thresh) 
开发者ID:facebookresearch,项目名称:Detectron,代码行数:34,代码来源:json_dataset.py


注:本文中的detectron.utils.boxes.clip_boxes_to_image方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。