Function padAndResizeTo

posenet/src/util.ts:220–249

(
    input: PosenetInput, [targetH, targetW]: [number, number])

}

export function padAndResizeTo(
    input: PosenetInput, [targetH, targetW]: [number, number]):
    {resized: tf.Tensor3D, padding: Padding} {
  const [height, width] = getInputTensorDimensions(input);
  const targetAspect = targetW / targetH;
  const aspect = width / height;
  let [padT, padB, padL, padR] = [0, 0, 0, 0];
  if (aspect < targetAspect) {
    // pads the width
    padT = 0;
    padB = 0;
    padL = Math.round(0.5 * (targetAspect * height - width));
    padR = Math.round(0.5 * (targetAspect * height - width));
  } else {
    // pads the height
    padT = Math.round(0.5 * ((1.0 / targetAspect) * width - height));
    padB = Math.round(0.5 * ((1.0 / targetAspect) * width - height));
    padL = 0;
    padR = 0;
  }

  const resized: tf.Tensor3D = tf.tidy(() => {
    let imageTensor = toInputTensor(input);
    imageTensor = tf.pad3d(imageTensor, [[padT, padB], [padL, padR], [0, 0]]);

    return tf.image.resizeBilinear(imageTensor, [targetH, targetW]);
  });

  return {resized, padding: {top: padT, left: padL, right: padR, bottom: padB}};
}

export function scaleAndFlipPoses(
    poses: Pose[], [height, width]: [number, number],