图像处理

Perform deterministic or randomized data processing for domains such as image processing, object detection, semantic segmentation, signal and audio processing, and text analytics.

This example shows how you can perform common kinds of randomized image augmentation such as geometric transformations, cropping, and adding noise.

了解如何调整图像大小以进行训练、预测和分类，以及如何使用数据增强、变换和专用数据存储对图像进行预处理。

Read and preprocess volumetric image and label data for 3-D deep learning.

This example shows how to prepare datastores that read and preprocess multiresolution whole slide images (WSIs) that might not fit in memory.

Transfer styles and characteristics from one set of images to the scene content of other images by using generative adversarial networks (GANs).