Differences with torchvision.transforms.RandomPerspective

torchvision.transforms.RandomPerspective

class torchvision.transforms.RandomPerspective(distortion_scale=0.5, p=0.5, interpolation=InterpolationMode.BILINEAR, fill=0)

For more information, see torchvision.transforms.RandomPerspective.

mindspore.dataset.vision.RandomPerspective

class mindspore.dataset.vision.RandomPerspective(distortion_scale=0.5, prob=0.5, interpolation=Inter.BICUBIC)

For more information, see mindspore.dataset.vision.RandomPerspective.

Differences

PyTorch: Performs a random perspective transformation of the given image with a given probability. Pixel fill value for the area outside the transformed image can be specified.

MindSpore: Performs a random perspective transformation of the given image with a given probability. Pixel fill value for the area outside the transformed image will always be black.

Categories	Subcategories	PyTorch	MindSpore	Difference
Parameter	Parameter1	distortion_scale	distortion_scale	-
	Parameter2	p	prob	-
	Parameter3	interpolation	interpolation	The default value is different
	Parameter4	fill	-	Pixel fill value for the area outside the transformed image

Code Example

from download import download
from PIL import Image

url = "https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/datasets/flamingos.jpg"
download(url, './flamingos.jpg', replace=True)
orig_img = Image.open('flamingos.jpg')

# PyTorch
import torchvision.transforms as T

transform = T.RandomPerspective(distortion_scale=0.5, p=0.5, interpolation=T.InterpolationMode.BILINEAR)
img_torch = T.Compose([transform])(orig_img)


# MindSpore
import mindspore.dataset.vision as vision
import mindspore.dataset.transforms as transforms

transform = vision.RandomPerspective(distortion_scale=0.5, prob=0.5, interpolation=vision.Inter.BILINEAR)
img_ms = transforms.Compose([transform])(orig_img)