mindspore.nn.CentralCrop
- class mindspore.nn.CentralCrop(central_fraction)[source]
- Crops the central region of the images with the central_fraction. - Parameters
- central_fraction (float) – Fraction of size to crop. It must be float and in range (0.0, 1.0]. 
 - Inputs:
- image (Tensor) - A 3-D tensor of shape [C, H, W], or a 4-D tensor of shape [N, C, H, W]. 
 
- Outputs:
- Tensor, 3-D or 4-D float tensor, according to the input. 
 - Raises
- TypeError – If central_fraction is not a float. 
- ValueError – If central_fraction is not in range (0, 1.0]. 
 
 - Supported Platforms:
- Ascend- GPU- CPU
 - Examples - >>> net = nn.CentralCrop(central_fraction=0.5) >>> image = Tensor(np.random.random((4, 3, 4, 4)), mindspore.float32) >>> output = net(image) >>> print(output.shape) (4, 3, 2, 2)