megengine.data¶

>>> import megengine.data as data
>>> import megengine.data.transform as T

DataLoader¶

Data loader.

`Dataset`	An abstract base class for all map-style datasets.
`ArrayDataset`	ArrayDataset is a dataset for numpy array data.
`StreamDataset`	All datasets that represent an iterable of data samples should subclass it.
`ConcatDataset`	ConcatDataset is a concatenation of multiple datasets.

`VisionDataset`
`ImageFolder`	ImageFolder is a class for loading image data and labels from a organized folder.
`MNIST`	MNIST dataset.
`CIFAR10`	`Dataset` for CIFAR10 meta data.
`CIFAR100`	`Dataset` for CIFAR100 meta data.
`PascalVOC`	Pascal VOC Dataset.
`COCO`	MS COCO Dataset.
`Cityscapes`	Cityscapes Dataset.
`Objects365`	Objects365 Dataset.
`ImageNet`	Load ImageNet from raw files or folder.

`Sampler`	An abstract base class for all Sampler
`MapSampler`	Sampler for map dataset.
`StreamSampler`	Sampler for stream dataset.
`SequentialSampler`	Sample elements sequentially.
`RandomSampler`	Sample elements randomly without replacement.
`ReplacementSampler`	Sample elements randomly with replacement.
`Infinite`	Infinite Sampler warper for basic sampler.

`Transform`	Rewrite apply method in subclass.
`PseudoTransform`

`VisionTransform`	Base class of all transforms used in computer vision.
`Compose`	Composes several transfomations together.
`TorchTransformCompose`	Compose class used for transforms in torchvision, only support PIL image, some transforms with tensor in torchvision are not supported, such as Normalize and ToTensor in torchvision.
`ToMode`	Change input data to a target mode.
`Pad`	Pad the input data.
`Resize`	Resize the input data.
`ShortestEdgeResize`	Resize the input data with specified shortset edge.
`RandomResize`	Resize the input data randomly.
`RandomCrop`	Crop the input data randomly.
`RandomResizedCrop`	Crop the input data to random size and aspect ratio.
`CenterCrop`	Crops the given the input data at the center.
`RandomHorizontalFlip`	Horizontally flip the input data randomly with a given probability.
`RandomVerticalFlip`	Vertically flip the input data randomly with a given probability.
`Normalize`	Normalize the input data with mean and standard deviation.
`GaussianNoise`	Add random gaussian noise to the input data.
`BrightnessTransform`	Adjust brightness of the input data.
`SaturationTransform`	Adjust saturation of the input data.
`ContrastTransform`	Adjust contrast of the input data.
`HueTransform`	Adjust hue of the input data.
`ColorJitter`	Randomly change the brightness, contrast, saturation and hue of an image.
`Lighting`	Apply AlexNet-Style "lighting" augmentation to input data.

Used for merging a list of samples to form a mini-batch of Tensor(s).

megengine.set_log_level

DataLoader