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Python boxes.filter_small_boxes方法代碼示例

本文整理匯總了Python中detectron.utils.boxes.filter_small_boxes方法的典型用法代碼示例。如果您正苦於以下問題:Python boxes.filter_small_boxes方法的具體用法?Python boxes.filter_small_boxes怎麽用?Python boxes.filter_small_boxes使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在detectron.utils.boxes的用法示例。


在下文中一共展示了boxes.filter_small_boxes方法的3個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: _add_proposals_from_file

# 需要導入模塊: from detectron.utils import boxes [as 別名]
# 或者: from detectron.utils.boxes import filter_small_boxes [as 別名]
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) 
開發者ID:yihui-he,項目名稱:KL-Loss,代碼行數:32,代碼來源:json_dataset.py

示例2: _add_proposals_from_file

# 需要導入模塊: from detectron.utils import boxes [as 別名]
# 或者: from detectron.utils.boxes import filter_small_boxes [as 別名]
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) 
開發者ID:fyangneil,項目名稱:Clustered-Object-Detection-in-Aerial-Image,代碼行數:32,代碼來源:json_dataset.py

示例3: _add_proposals_from_file

# 需要導入模塊: from detectron.utils import boxes [as 別名]
# 或者: from detectron.utils.boxes import filter_small_boxes [as 別名]
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) 
開發者ID:facebookresearch,項目名稱:Detectron,代碼行數:34,代碼來源:json_dataset.py


注:本文中的detectron.utils.boxes.filter_small_boxes方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台,相關代碼片段篩選自各路編程大神貢獻的開源項目,源碼版權歸原作者所有,傳播和使用請參考對應項目的License;未經允許,請勿轉載。