Returns image gradients (dy, dx) for each color channel.
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tf.image.image_gradients(
image
)
Both output tensors have the same shape as the input: [batch_size, h, w, d]. The gradient values are organized so that [I(x+1, y) - I(x, y)] is in location (x, y). That means that dy will always have zeros in the last row, and dx will always have zeros in the last column.
Arguments | |
---|---|
image
|
Tensor with shape [batch_size, h, w, d]. |
Returns | |
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Pair of tensors (dy, dx) holding the vertical and horizontal image gradients (1-step finite difference). |
Raises | |
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ValueError
|
If image is not a 4D tensor.
|