ai.djl.modality.cv.transform.CenterFit Maven / Gradle / Ivy
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* Copyright 2024 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance
* with the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0/
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES
* OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package ai.djl.modality.cv.transform;
import ai.djl.modality.cv.util.NDImageUtils;
import ai.djl.ndarray.NDArray;
import ai.djl.ndarray.types.Shape;
import ai.djl.translate.Transform;
/** A {@link Transform} that fit the size of an image. */
public class CenterFit implements Transform {
private int width;
private int height;
/**
* Creates a {@code CenterFit} {@link Transform} that fit to the given width and height with
* given interpolation.
*
* @param width the desired width
* @param height the desired height
*/
public CenterFit(int width, int height) {
this.width = width;
this.height = height;
}
/** {@inheritDoc} */
@Override
public NDArray transform(NDArray array) {
Shape shape = array.getShape();
int w = (int) shape.get(1);
int h = (int) shape.get(0);
if (w > width || h > height) {
array = NDImageUtils.centerCrop(array, Math.min(w, width), Math.min(h, height));
}
int padW = width - w;
int padH = height - h;
if (padW > 0 || padH > 0) {
padW = Math.max(0, padW);
padH = Math.max(0, padH);
int padW1 = padW / 2;
int padH1 = padH / 2;
Shape padding = new Shape(0, 0, padW1, padW - padW1, padH1, padH - padH1);
array = array.pad(padding, 0);
}
return array;
}
}