How to use the @tensorflow-models/body-pix.toMaskImageData function in @tensorflow-models/body-pix

await this.ready;
        await tf.nextFrame();

        if (this.video && this.video.readyState === 0) {
            await new Promise(resolve => {
                this.video.onloadeddata = () => resolve();
            });
        }

        this.config.outputStride = segmentationOptions.outputStride || this.config.outputStride;
        this.config.segmentationThreshold = segmentationOptions.segmentationThreshold || this.config.segmentationThreshold;

        const segmentation = await this.model.estimatePersonSegmentation(imgToSegment, this.config.outputStride, this.config.segmentationThreshold)

        const result = {};
        result.maskBackground = bp.toMaskImageData(segmentation, true);
        result.maskPerson = bp.toMaskImageData(segmentation, false);
        result.raw = segmentation;

        if (p5Utils.checkP5()) {
            const blob1 = await p5Utils.rawToBlob(result.maskBackground.data, segmentation.width, segmentation.height);
            const blob2 = await p5Utils.rawToBlob(result.maskPerson.data, segmentation.width, segmentation.height);
            const p5Image1 = await p5Utils.blobToP5Image(blob1);
            const p5Image2 = await p5Utils.blobToP5Image(blob2);

            result.maskBackground = p5Image1;
            result.maskPerson = p5Image2;
        }

        return result;

    }

await tf.nextFrame();

        if (this.video && this.video.readyState === 0) {
            await new Promise(resolve => {
                this.video.onloadeddata = () => resolve();
            });
        }

        this.config.outputStride = segmentationOptions.outputStride || this.config.outputStride;
        this.config.segmentationThreshold = segmentationOptions.segmentationThreshold || this.config.segmentationThreshold;

        const segmentation = await this.model.estimatePersonSegmentation(imgToSegment, this.config.outputStride, this.config.segmentationThreshold)

        const result = {};
        result.maskBackground = bp.toMaskImageData(segmentation, true);
        result.maskPerson = bp.toMaskImageData(segmentation, false);
        result.raw = segmentation;

        if (p5Utils.checkP5()) {
            const blob1 = await p5Utils.rawToBlob(result.maskBackground.data, segmentation.width, segmentation.height);
            const blob2 = await p5Utils.rawToBlob(result.maskPerson.data, segmentation.width, segmentation.height);
            const p5Image1 = await p5Utils.blobToP5Image(blob1);
            const p5Image2 = await p5Utils.blobToP5Image(blob2);

            result.maskBackground = p5Image1;
            result.maskPerson = p5Image2;
        }

        return result;

    }