本文整理汇总了Python中mmcv.imflip方法的典型用法代码示例。如果您正苦于以下问题：Python mmcv.imflip方法的具体用法？Python mmcv.imflip怎么用？Python mmcv.imflip使用的例子？那么恭喜您, 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类mmcv的用法示例。
在下文中一共展示了mmcv.imflip方法的6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: __call__
# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imflip [as 别名]
def __call__(self, img, scale, flip=False, keep_ratio=True):
if keep_ratio:
img, scale_factor = mmcv.imrescale(img, scale, return_scale=True)
else:
img, w_scale, h_scale = mmcv.imresize(
img, scale, return_scale=True)
scale_factor = np.array(
[w_scale, h_scale, w_scale, h_scale], dtype=np.float32)
img_shape = img.shape
img = mmcv.imnormalize(img, self.mean, self.std, self.to_rgb)
if flip:
img = mmcv.imflip(img)
if self.size_divisor is not None:
img = mmcv.impad_to_multiple(img, self.size_divisor)
pad_shape = img.shape
else:
pad_shape = img_shape
img = img.transpose(2, 0, 1)
return img, img_shape, pad_shape, scale_factor 示例2: __call__
# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imflip [as 别名]
def __call__(self, img, scale, flip=False, keep_ratio=True):
if keep_ratio:
img, scale_factor = mmcv.imrescale(img, scale, return_scale=True)
else:
img, w_scale, h_scale = mmcv.imresize(
img, scale, return_scale=True)
scale_factor = np.array([w_scale, h_scale, w_scale, h_scale],
dtype=np.float32)
img_shape = img.shape
img = mmcv.imnormalize(img, self.mean, self.std, self.to_rgb)
if flip:
img = mmcv.imflip(img)
if self.size_divisor is not None:
img = mmcv.impad_to_multiple(img, self.size_divisor)
pad_shape = img.shape
else:
pad_shape = img_shape
img = img.transpose(2, 0, 1)
return img, img_shape, pad_shape, scale_factor 示例3: __call__
# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imflip [as 别名]
def __call__(self, results):
if results['keep_ratio']:
gt_seg = mmcv.imrescale(
results['gt_semantic_seg'],
results['scale'],
interpolation='nearest')
else:
gt_seg = mmcv.imresize(
results['gt_semantic_seg'],
results['scale'],
interpolation='nearest')
if results['flip']:
gt_seg = mmcv.imflip(gt_seg)
if gt_seg.shape != results['pad_shape']:
gt_seg = mmcv.impad(gt_seg, results['pad_shape'][:2])
if self.scale_factor != 1:
gt_seg = mmcv.imrescale(
gt_seg, self.scale_factor, interpolation='nearest')
results['gt_semantic_seg'] = gt_seg
return results 示例4: __call__
# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imflip [as 别名]
def __call__(self, results):
if 'flip' not in results:
flip = True if np.random.rand() < self.flip_ratio else False
results['flip'] = flip
if 'flip_direction' not in results:
results['flip_direction'] = self.direction
if results['flip']:
# flip image
results['img'] = mmcv.imflip(
results['img'], direction=results['flip_direction'])
# flip bboxes
for key in results.get('bbox_fields', []):
results[key] = self.bbox_flip(results[key],
results['img_shape'],
results['flip_direction'])
# flip masks
for key in results.get('mask_fields', []):
results[key] = [
mmcv.imflip(mask, direction=results['flip_direction'])
for mask in results[key]
]
return results 示例5: __call__
# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imflip [as 别名]
def __call__(self, results):
"""Call function to flip bounding boxes, masks, semantic segmentation
maps.
Args:
results (dict): Result dict from loading pipeline.
Returns:
dict: Flipped results, 'flip', 'flip_direction' keys are added into
result dict.
"""
if 'flip' not in results:
flip = True if np.random.rand() < self.flip_ratio else False
results['flip'] = flip
if 'flip_direction' not in results:
results['flip_direction'] = self.direction
if results['flip']:
# flip image
for key in results.get('img_fields', ['img']):
results[key] = mmcv.imflip(
results[key], direction=results['flip_direction'])
# flip bboxes
for key in results.get('bbox_fields', []):
results[key] = self.bbox_flip(results[key],
results['img_shape'],
results['flip_direction'])
# flip masks
for key in results.get('mask_fields', []):
results[key] = results[key].flip(results['flip_direction'])
# flip segs
for key in results.get('seg_fields', []):
results[key] = mmcv.imflip(
results[key], direction=results['flip_direction'])
return results 示例6: flip
# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imflip [as 别名]
def flip(self, flip_direction='horizontal'):
"""See :func:`BaseInstanceMasks.flip`."""
assert flip_direction in ('horizontal', 'vertical')
if len(self.masks) == 0:
flipped_masks = self.masks
else:
flipped_masks = np.stack([
mmcv.imflip(mask, direction=flip_direction)
for mask in self.masks
])
return BitmapMasks(flipped_masks, self.height, self.width)