當前位置: 首頁>>代碼示例>>Python>>正文


Python boxes.xywh_to_xyxy方法代碼示例

本文整理匯總了Python中utils.boxes.xywh_to_xyxy方法的典型用法代碼示例。如果您正苦於以下問題:Python boxes.xywh_to_xyxy方法的具體用法?Python boxes.xywh_to_xyxy怎麽用?Python boxes.xywh_to_xyxy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utils.boxes的用法示例。


在下文中一共展示了boxes.xywh_to_xyxy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_gt_annotations

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import xywh_to_xyxy [as 別名]
def _add_gt_annotations(self, entry):
        """Add ground truth annotation metadata to an roidb entry."""
        ann_ids = self.COCO.getAnnIds(imgIds=entry['id'], iscrowd=None)
        objs = self.COCO.loadAnns(ann_ids)
        # Sanitize bboxes -- some are invalid
        valid_objs = []
        valid_segms = []
        width = entry['width']
        height = entry['height']
        for obj in objs:
            # crowd regions are RLE encoded and stored as dicts
            if obj['area'] < cfg.TRAIN.GT_MIN_AREA:
                continue
            if 'ignore' in obj and obj['ignore'] == 1:
                continue
            # Convert form (x1, y1, w, h) to (x1, y1, x2, y2)
            x1, y1, x2, y2 = box_utils.xywh_to_xyxy(obj['bbox'])
            x1, y1, x2, y2 = box_utils.clip_xyxy_to_image(
                x1, y1, x2, y2, height, width
            )
            # Require non-zero seg area and more than 1x1 box size
            if obj['area'] > 0 and x2 > x1 and y2 > y1:
                obj['clean_bbox'] = [x1, y1, x2, y2]
                valid_objs.append(obj)
        num_valid_objs = len(valid_objs)

        gt_classes = np.zeros((num_valid_objs), dtype=entry['gt_classes'].dtype)
        for ix, obj in enumerate(valid_objs):
            cls = self.json_category_id_to_contiguous_id[obj['category_id']]
            gt_classes[ix] = cls

        for cls in gt_classes:
            entry['gt_classes'][0, cls] = 1 
開發者ID:ppengtang,項目名稱:pcl.pytorch,代碼行數:35,代碼來源:json_dataset.py

示例2: test_bbox_dataset_to_prediction_roundtrip

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import xywh_to_xyxy [as 別名]
def test_bbox_dataset_to_prediction_roundtrip(self):
        """Simulate the process of reading a ground-truth box from a dataset,
        make predictions from proposals, convert the predictions back to the
        dataset format, and then use the COCO API to compute IoU overlap between
        the gt box and the predictions. These should have IoU of 1.
        """
        weights = (5, 5, 10, 10)
        # 1/ "read" a box from a dataset in the default (x1, y1, w, h) format
        gt_xywh_box = [10, 20, 100, 150]
        # 2/ convert it to our internal (x1, y1, x2, y2) format
        gt_xyxy_box = box_utils.xywh_to_xyxy(gt_xywh_box)
        # 3/ consider nearby proposal boxes
        prop_xyxy_boxes = random_boxes(gt_xyxy_box, 10, 10)
        # 4/ compute proposal-to-gt transformation deltas
        deltas = box_utils.bbox_transform_inv(
            prop_xyxy_boxes, np.array([gt_xyxy_box]), weights=weights
        )
        # 5/ use deltas to transform proposals to xyxy predicted box
        pred_xyxy_boxes = box_utils.bbox_transform(
            prop_xyxy_boxes, deltas, weights=weights
        )
        # 6/ convert xyxy predicted box to xywh predicted box
        pred_xywh_boxes = box_utils.xyxy_to_xywh(pred_xyxy_boxes)
        # 7/ use COCO API to compute IoU
        not_crowd = [int(False)] * pred_xywh_boxes.shape[0]
        ious = COCOmask.iou(pred_xywh_boxes, np.array([gt_xywh_box]), not_crowd)
        np.testing.assert_array_almost_equal(ious, np.ones(ious.shape)) 
開發者ID:ronghanghu,項目名稱:seg_every_thing,代碼行數:29,代碼來源:test_bbox_transform.py

示例3: save_im_masks

# 需要導入模塊: from utils import boxes [as 別名]
# 或者: from utils.boxes import xywh_to_xyxy [as 別名]
def save_im_masks(im, M, id, dir):
    from utils.boxes import xywh_to_xyxy
    import os
    try:
        os.mkdir(os.path.join('vis', dir))
    except:
        pass
    M[M > 0] = 1
    aug_rles = mask_util.encode(np.asarray(M, order='F'))
    boxes = xywh_to_xyxy(np.asarray(mask_util.toBbox(aug_rles)))
    boxes = np.append(boxes, np.ones((len(boxes), 2)), 1)

    from utils.vis import vis_one_image
    vis_one_image(im, str(id), os.path.join('vis', dir), boxes, segms=aug_rles, keypoints=None, thresh=0.9,box_alpha=0.8,  show_class=False,) 
開發者ID:gangadhar-p,項目名稱:NucleiDetectron,代碼行數:16,代碼來源:test_augmentations.py


注:本文中的utils.boxes.xywh_to_xyxy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。