mxnet.gluon.data.vision.transforms 模块的功能了解一下

该模块的功能主要有：随机加噪、随机抖动（色相、亮度、饱和度 or 对比度）、正则化、裁剪、翻转、resize 调整大小vision.transformsGluon provides pre-defined vision transformation and data augmentation functions in themxnet.gluon.data.vision.transformsmod

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我有明珠一颗 · 2021-03-11 17:33:09 发布

该模块的功能主要有：随机加噪、随机抖动（色相、亮度、饱和度 or 对比度）、正则化、裁剪、翻转、resize 调整大小

vision.transforms

Gluon provides pre-defined vision transformation and data augmentation functions in the mxnet.gluon.data.vision.transforms module.

`transforms.Compose`	Sequentially composes multiple transforms.
`transforms.Cast`	Cast input to a specific data type
`transforms.ToTensor`	Converts an image NDArray or batch of image NDArray to a tensor NDArray.
`transforms.Normalize`	Normalize an tensor of shape (C x H x W) or (N x C x H x W) with mean and standard deviation.
`transforms.RandomResizedCrop`	Crop the input image with random scale and aspect ratio.
`transforms.CenterCrop`	Crops the image src to the given size by trimming on all four sides and preserving the center of the image.
`transforms.Resize`	Resize an image or a batch of image NDArray to the given size.
`transforms.RandomFlipLeftRight`	Randomly flip the input image left to right with a probability of 0.5.
`transforms.RandomFlipTopBottom`	Randomly flip the input image top to bottom with a probability of 0.5.
`transforms.RandomBrightness`	Randomly jitters image brightness with a factor chosen from [max(0, 1 - brightness), 1 + brightness].
`transforms.RandomContrast`	Randomly jitters image contrast with a factor chosen from [max(0, 1 - contrast), 1 + contrast].
`transforms.RandomSaturation`	Randomly jitters image saturation with a factor chosen from [max(0, 1 - saturation), 1 + saturation].
`transforms.RandomHue`	Randomly jitters image hue with a factor chosen from [max(0, 1 - hue), 1 + hue].
`transforms.RandomColorJitter`	Randomly jitters the brightness, contrast, saturation, and hue of an image.
`transforms.RandomLighting`	Add AlexNet-style PCA-based noise to an image.