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fix paddle.vision.transforms.Resize cn docs #4319

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Mar 23, 2022
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fix paddle.vision.transforms.Resize cn docs #4319

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795e779
Update Resize_cn.rst
Liyulingyue Mar 18, 2022
67be523
Update resize_cn.rst
Liyulingyue Mar 18, 2022
176df12
Update resize_cn.rst
Liyulingyue Mar 18, 2022
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Update Resize_cn.rst
Liyulingyue Mar 18, 2022
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Update Resize_cn.rst
Liyulingyue Mar 18, 2022
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Update resize_cn.rst
Liyulingyue Mar 18, 2022
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17 changes: 16 additions & 1 deletion docs/api/paddle/vision/transforms/Resize_cn.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,20 @@ resize

- img (numpy.ndarray|PIL.Image) - 输入数据，可以是(H, W, C)形状的图像或遮罩。
- size (int|tuple) - 输出图像大小。如果size是一个序列，例如（h，w），输出大小将与此匹配。如果size为int，图像的较小边缘将与此数字匹配，即如果 height > width，则图像将重新缩放为(size * height / width, size)。
- interpolation (int|str, optional) - 插值的方法. 默认值: 'bilinear'。 当使用 ``pil`` 作为后端时, 支持的插值方法如下: - "nearest": Image.NEAREST, - "bilinear": Image.BILINEAR, - "bicubic": Image.BICUBIC, - "box": Image.BOX, - "lanczos": Image.LANCZOS, - "hamming": Image.HAMMING。当使用 ``cv2`` 作为后端时, 支持的插值方法如下: - "nearest": cv2.INTER_NEAREST, - "bilinear": cv2.INTER_LINEAR, - "area": cv2.INTER_AREA, - "bicubic": cv2.INTER_CUBIC, - "lanczos": cv2.INTER_LANCZOS4。
- interpolation (int|str, optional) - 插值的方法，默认值: 'bilinear'。
- 当使用 ``pil`` 作为后端时, 支持的插值方法如下
+ "nearest": Image.NEAREST,
+ "bilinear": Image.BILINEAR,
+ "bicubic": Image.BICUBIC,
+ "box": Image.BOX,
+ "lanczos": Image.LANCZOS,
+ "hamming": Image.HAMMING。
- 当使用 ``cv2`` 作为后端时, 支持的插值方法如下
+ "nearest": cv2.INTER_NEAREST,
+ "bilinear": cv2.INTER_LINEAR,
+ "area": cv2.INTER_AREA,
+ "bicubic": cv2.INTER_CUBIC,
+ "lanczos": cv2.INTER_LANCZOS4。

返回
:::::::::
Expand All @@ -34,7 +47,9 @@ resize

converted_img = F.resize(fake_img, 224)
print(converted_img.size)
# (262, 224)

converted_img = F.resize(fake_img, (200, 150))
print(converted_img.size)
# (150, 200)

19 changes: 17 additions & 2 deletions docs/api/paddle/vision/transforms/resize_cn.rst
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,8 +12,21 @@ resize

- img (numpy.ndarray|PIL.Image) - 输入数据，可以是(H, W, C)形状的图像或遮罩。
- size (int|tuple) - 输出图像大小。如果size是一个序列，例如（h，w），输出大小将与此匹配。如果size为int，图像的较小边缘将与此数字匹配，即如果 height > width，则图像将重新缩放为(size * height / width, size)。
- interpolation (int|str, optional) - 插值的方法. 默认值: 'bilinear'。 当使用 ``pil`` 作为后端时, 支持的插值方法如下: - "nearest": Image.NEAREST, - "bilinear": Image.BILINEAR, - "bicubic": Image.BICUBIC, - "box": Image.BOX, - "lanczos": Image.LANCZOS, - "hamming": Image.HAMMING。当使用 ``cv2`` 作为后端时, 支持的插值方法如下: - "nearest": cv2.INTER_NEAREST, - "bilinear": cv2.INTER_LINEAR, - "area": cv2.INTER_AREA, - "bicubic": cv2.INTER_CUBIC, - "lanczos": cv2.INTER_LANCZOS4。

- interpolation (int|str, optional) - 插值的方法，默认值: 'bilinear'。
- 当使用 ``pil`` 作为后端时, 支持的插值方法如下
+ "nearest": Image.NEAREST,
+ "bilinear": Image.BILINEAR,
+ "bicubic": Image.BICUBIC,
+ "box": Image.BOX,
+ "lanczos": Image.LANCZOS,
+ "hamming": Image.HAMMING。
- 当使用 ``cv2`` 作为后端时, 支持的插值方法如下
+ "nearest": cv2.INTER_NEAREST,
+ "bilinear": cv2.INTER_LINEAR,
+ "area": cv2.INTER_AREA,
+ "bicubic": cv2.INTER_CUBIC,
+ "lanczos": cv2.INTER_LANCZOS4。

返回
:::::::::

Expand All @@ -34,7 +47,9 @@ resize

converted_img = F.resize(fake_img, 224)
print(converted_img.size)
# (262, 224)

converted_img = F.resize(fake_img, (200, 150))
print(converted_img.size)
# (150, 200)