Returns image gradients (dy, dx) for each color channel.
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 |
|---|
|
Pair of tensors (dy, dx) holding the vertical and horizontal image
gradients (1-step finite difference).
|
Raises |
|---|
ValueError
|
If image is not a 4D tensor.
|
TensorFlow 1 version
View source on GitHub