# mindspore.dataset.transforms¶

This module is to support common augmentations. C_transforms is a high performance image augmentation module which is developed with C++ OpenCV. Py_transforms provide more kinds of image augmentations which is developed with Python PIL.

## mindspore.dataset.transforms.c_transforms¶

 mindspore.dataset.transforms.c_transforms.Compose Compose a list of transforms into a single transform. mindspore.dataset.transforms.c_transforms.Concatenate Tensor operation that concatenates all columns into a single tensor. mindspore.dataset.transforms.c_transforms.Duplicate Duplicate the input tensor to a new output tensor. mindspore.dataset.transforms.c_transforms.Fill Tensor operation to create a tensor filled with input scalar value. mindspore.dataset.transforms.c_transforms.Mask Mask content of the input tensor with the given predicate. mindspore.dataset.transforms.c_transforms.OneHot Tensor operation to apply one hot encoding. mindspore.dataset.transforms.c_transforms.PadEnd Pad input tensor according to pad_shape, need to have same rank. mindspore.dataset.transforms.c_transforms.RandomApply Randomly perform a series of transforms with a given probability. mindspore.dataset.transforms.c_transforms.RandomChoice Randomly selects one transform from a list of transforms to perform operation. mindspore.dataset.transforms.c_transforms.Slice Slice operation to extract a tensor out using the given n slices. mindspore.dataset.transforms.c_transforms.TypeCast Tensor operation to cast to a given MindSpore data type. mindspore.dataset.transforms.c_transforms.Unique Return an output tensor containing all the unique elements of the input tensor in the same order that they occur in the input tensor.

## mindspore.dataset.transforms.py_transforms¶

 mindspore.dataset.transforms.py_transforms.Compose Compose a list of transforms. mindspore.dataset.transforms.py_transforms.OneHotOp Apply one hot encoding transformation to the input label, make label be more smoothing and continuous. mindspore.dataset.transforms.py_transforms.RandomApply Randomly perform a series of transforms with a given probability. mindspore.dataset.transforms.py_transforms.RandomChoice Randomly select one transform from a series of transforms and applies that on the image. mindspore.dataset.transforms.py_transforms.RandomOrder Perform a series of transforms to the input PIL image in a random order.