Method estimateSinglePose

posenet/src/posenet_model.ts:344–376

* Infer through PoseNet, and estimates a single pose using the outputs. * This does standard ImageNet pre-processing before inferring through the * model. The image should pixels should have values [0-255]. It detects * multiple poses and finds their parts from part scores and displacement

(
      input: PosenetInput,
      config: SinglePersonInterfaceConfig = SINGLE_PERSON_INFERENCE_CONFIG)

   * in the same scale as the original image
   */
  async estimateSinglePose(
      input: PosenetInput,
      config: SinglePersonInterfaceConfig = SINGLE_PERSON_INFERENCE_CONFIG):
      Promise<Pose> {
    const configWithDefaults = {...SINGLE_PERSON_INFERENCE_CONFIG, ...config};

    validateSinglePersonInferenceConfig(configWithDefaults);

    const outputStride = this.baseModel.outputStride;
    const inputResolution = this.inputResolution;

    const [height, width] = getInputTensorDimensions(input);

    const {resized, padding} = padAndResizeTo(input, inputResolution);

    const {heatmapScores, offsets, displacementFwd, displacementBwd} =
        this.baseModel.predict(resized);

    const pose = await decodeSinglePose(heatmapScores, offsets, outputStride);
    const poses = [pose];

    const resultPoses = scaleAndFlipPoses(
        poses, [height, width], inputResolution, padding,
        configWithDefaults.flipHorizontal);

    heatmapScores.dispose();
    offsets.dispose();
    displacementFwd.dispose();
    displacementBwd.dispose();
    resized.dispose();

    return resultPoses[0];
  }

  /** Deprecated: Use either estimateSinglePose or estimateMultiplePoses */
  async estimatePoses(