import * as tf from '@tensorflow/tfjs-core'; /** * Pads the smaller dimension of an image tensor with zeros, such that width === height. * * @param imgTensor The image tensor. * @param isCenterImage (optional, default: false) If true, add an equal amount of padding on * both sides of the minor dimension oof the image. * @returns The padded tensor with width === height. */ export function padToSquare(imgTensor, isCenterImage = false) { return tf.tidy(() => { const [height, width] = imgTensor.shape.slice(1); if (height === width) { return imgTensor; } const dimDiff = Math.abs(height - width); const paddingAmount = Math.round(dimDiff * (isCenterImage ? 0.5 : 1)); const paddingAxis = height > width ? 2 : 1; const createPaddingTensor = (paddingAmount) => { const paddingTensorShape = imgTensor.shape.slice(); paddingTensorShape[paddingAxis] = paddingAmount; return tf.fill(paddingTensorShape, 0); }; const paddingTensorAppend = createPaddingTensor(paddingAmount); const remainingPaddingAmount = dimDiff - paddingTensorAppend.shape[paddingAxis]; const paddingTensorPrepend = isCenterImage && remainingPaddingAmount ? createPaddingTensor(remainingPaddingAmount) : null; const tensorsToStack = [ paddingTensorPrepend, imgTensor, paddingTensorAppend ] .filter(t => !!t) .map((t) => t.toFloat()); return tf.concat(tensorsToStack, paddingAxis); }); } //# sourceMappingURL=padToSquare.js.map