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Python mmcv.imshow_bboxes方法代码示例

本文整理汇总了Python中mmcv.imshow_bboxes方法的典型用法代码示例。如果您正苦于以下问题:Python mmcv.imshow_bboxes方法的具体用法?Python mmcv.imshow_bboxes怎么用?Python mmcv.imshow_bboxes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mmcv的用法示例。


在下文中一共展示了mmcv.imshow_bboxes方法的4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: show_result

# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imshow_bboxes [as 别名]
def show_result(self, data, result, dataset=None, top_k=20):
        """Show RPN proposals on the image.

        Although we assume batch size is 1, this method supports arbitrary
        batch size.
        """
        img_tensor = data['img'][0]
        img_metas = data['img_metas'][0].data[0]
        imgs = tensor2imgs(img_tensor, **img_metas[0]['img_norm_cfg'])
        assert len(imgs) == len(img_metas)
        for img, img_meta in zip(imgs, img_metas):
            h, w, _ = img_meta['img_shape']
            img_show = img[:h, :w, :]
            mmcv.imshow_bboxes(img_show, result, top_k=top_k) 
开发者ID:open-mmlab,项目名称:mmdetection,代码行数:16,代码来源:rpn.py

示例2: show_result

# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imshow_bboxes [as 别名]
def show_result(self, data, result, img_norm_cfg, dataset=None, top_k=20):
        """Show RPN proposals on the image.

        Although we assume batch size is 1, this method supports arbitrary
        batch size.
        """
        img_tensor = data['img'][0]
        img_metas = data['img_meta'][0].data[0]
        imgs = tensor2imgs(img_tensor, **img_norm_cfg)
        assert len(imgs) == len(img_metas)
        for img, img_meta in zip(imgs, img_metas):
            h, w, _ = img_meta['img_shape']
            img_show = img[:h, :w, :]
            mmcv.imshow_bboxes(img_show, result, top_k=top_k) 
开发者ID:dingjiansw101,项目名称:AerialDetection,代码行数:16,代码来源:rpn.py

示例3: show_result

# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imshow_bboxes [as 别名]
def show_result(self, data, result, dataset=None, top_k=20):
        """Show RPN proposals on the image.

        Although we assume batch size is 1, this method supports arbitrary
        batch size.
        """
        img_tensor = data['img'][0]
        img_metas = data['img_meta'][0].data[0]
        imgs = tensor2imgs(img_tensor, **img_metas[0]['img_norm_cfg'])
        assert len(imgs) == len(img_metas)
        for img, img_meta in zip(imgs, img_metas):
            h, w, _ = img_meta['img_shape']
            img_show = img[:h, :w, :]
            mmcv.imshow_bboxes(img_show, result, top_k=top_k) 
开发者ID:tascj,项目名称:kaggle-kuzushiji-recognition,代码行数:16,代码来源:rpn.py

示例4: show_result

# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imshow_bboxes [as 别名]
def show_result(self, data, result, img_norm_cfg):
        """Show RPN proposals on the image.

        Although we assume batch size is 1, this method supports arbitrary
        batch size.
        """
        img_tensor = data['img'][0]
        img_metas = data['img_meta'][0].data[0]
        imgs = tensor2imgs(img_tensor, **img_norm_cfg)
        assert len(imgs) == len(img_metas)
        for img, img_meta in zip(imgs, img_metas):
            h, w, _ = img_meta['img_shape']
            img_show = img[:h, :w, :]
            mmcv.imshow_bboxes(img_show, result, top_k=20) 
开发者ID:chanyn,项目名称:Reasoning-RCNN,代码行数:16,代码来源:rpn.py


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