本文整理汇总了Python中mmcv.imnormalize方法的典型用法代码示例。如果您正苦于以下问题：Python mmcv.imnormalize方法的具体用法？Python mmcv.imnormalize怎么用？Python mmcv.imnormalize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类mmcv的用法示例。
在下文中一共展示了mmcv.imnormalize方法的5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 imnormalize [as 别名]
def __call__(self, results):
"""Call function to normalize images.
Args:
results (dict): Result dict from loading pipeline.
Returns:
dict: Normalized results, 'img_norm_cfg' key is added into
result dict.
"""
for key in results.get('img_fields', ['img']):
results[key] = mmcv.imnormalize(results[key], self.mean, self.std,
self.to_rgb)
results['img_norm_cfg'] = dict(
mean=self.mean, std=self.std, to_rgb=self.to_rgb)
return results 示例2: __call__
# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imnormalize [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 imnormalize [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4: test_imnormalize
# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imnormalize [as 别名]
def test_imnormalize(self):
rgb_img = self.img[:, :, ::-1]
baseline = (rgb_img - self.mean) / self.std
img = mmcv.imnormalize(self.img, self.mean, self.std)
assert np.allclose(img, baseline)
assert id(img) != id(self.img)
img = mmcv.imnormalize(rgb_img, self.mean, self.std, to_rgb=False)
assert np.allclose(img, baseline)
assert id(img) != id(rgb_img) 示例5: __call__
# 需要导入模块: import mmcv [as 别名]
# 或者: from mmcv import imnormalize [as 别名]
def __call__(self, results):
results['img'] = mmcv.imnormalize(results['img'], self.mean, self.std,
self.to_rgb)
results['img_norm_cfg'] = dict(
mean=self.mean, std=self.std, to_rgb=self.to_rgb)
return results