Mohammed Innat

Is there any reason why v3 might not be supported despite having smart citation number? Also, recent yolo based models like yolo-v4, yolo-r, yolo-x, yolo-v7, all contains a reference of...

> Is there ever a case where users would want to use v3 over v7? There's no need to have v3 support over faster, more accurate models. IMHO, it's a...

@Rocketknight1 Do you also implement 1D and 3D version of this layer?

Sorry I miswrote, it should be only CV task. Could you please move this issue to KerasCV?

Some starters in python. https://gist.github.com/fmder/e28813c1e8721830ff9c ```python import numpy as np from scipy.ndimage.interpolation import map_coordinates from scipy.ndimage.filters import gaussian_filter def elastic_transform(image, alpha, sigma, random_state=None): if random_state is None: random_state = np.random.RandomState(None)...

> is there a style guide or API method guide in which i should implement this feature to? Like an overall API architecture design? I'm not sure what you're looking...

@Luvideria I didn't try `dense_image_wrap` from tensorflow addons. Do you think that function or your *catmull-ran* address this feature request (elastic deformation)?

@Tony363 @Luvideria Here is another tf implementation reference for elastic transform. Placing it here in case you're interested to contribute. https://github.com/hirune924/imgaug-tf/blob/main/imgaugtf/augmentations.py#L253-L269

@Luvideria Could you please follow @bhack's previous comment? It's needed to port `tfa..dense_image_warp` layer (with [your addition](https://github.com/Luvideria/tensorflow-dense-warp-catmull-rom)) first as elastic transform might depend on it.

@abheesht17 I'm not working on it. Please, take action if you want.