Shortcuts

mmcv.image.imresize

mmcv.image.imresize(img: numpy.ndarray, size: Tuple[int, int], return_scale: bool = False, interpolation: str = 'bilinear', out: Optional[numpy.ndarray] = None, backend: Optional[str] = None)Union[Tuple[numpy.ndarray, float, float], numpy.ndarray][源代码]

Resize image to a given size.

参数
  • img (ndarray) – The input image.

  • size (tuple[int]) – Target size (w, h).

  • return_scale (bool) – Whether to return w_scale and h_scale.

  • interpolation (str) – Interpolation method, accepted values are “nearest”, “bilinear”, “bicubic”, “area”, “lanczos” for ‘cv2’ backend, “nearest”, “bilinear” for ‘pillow’ backend.

  • out (ndarray) – The output destination.

  • backend (str | None) – The image resize backend type. Options are cv2, pillow, None. If backend is None, the global imread_backend specified by mmcv.use_backend() will be used. Default: None.

返回

(resized_img, w_scale, h_scale) or resized_img.

返回类型

tuple | ndarray

Read the Docs v: 2.x
Versions
latest
stable
2.x
v2.0.1
v2.0.0
1.x
v1.7.1
v1.7.0
v1.6.2
v1.6.1
v1.6.0
v1.5.3
v1.5.2_a
v1.5.1
v1.5.0
v1.4.8
v1.4.7
v1.4.6
v1.4.5
v1.4.4
v1.4.3
v1.4.2
v1.4.1
v1.4.0
v1.3.18
v1.3.17
v1.3.16
v1.3.15
v1.3.14
v1.3.13
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds

Free document hosting provided by Read the Docs.