本文整理匯總了Python中mmcv.imshow_bboxes方法的典型用法代碼示例。如果您正苦於以下問題：Python mmcv.imshow_bboxes方法的具體用法？Python mmcv.imshow_bboxes怎麽用？Python mmcv.imshow_bboxes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類mmcv的用法示例。
在下文中一共展示了mmcv.imshow_bboxes方法的4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: show_result
# 需要導入模塊: import mmcv [as 別名]
# 或者: from mmcv import imshow_bboxes [as 別名]
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) 示例2: show_result
# 需要導入模塊: import mmcv [as 別名]
# 或者: from mmcv import imshow_bboxes [as 別名]
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) 示例3: show_result
# 需要導入模塊: import mmcv [as 別名]
# 或者: from mmcv import imshow_bboxes [as 別名]
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) 示例4: show_result
# 需要導入模塊: import mmcv [as 別名]
# 或者: from mmcv import imshow_bboxes [as 別名]
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)