How to do batch inference with maskrcnn?

Prerequisites

Please answer the following question for yourself before submitting an issue.

• [√] I checked to make sure that this feature has not been requested already.

1. The entire URL of the file you are using

I use the version of tf 1.x for maskrcnn.

2. Describe the feature you request

I understand there is a way for single image inference.

I want to know how to do the batch inference in one tensor dict rather than using for loop to do it with one image one time.

3. Additional context

In object_detection.utils.ops, reframe_box_masks_to_image_masks function only process one image.
In issues(#8812), I saw Detection part, run_inference_for_single_image function.

why this? why cannot maskrcnn process muti images at the same time just like other networks?

4. Are you willing to contribute it? (Yes or No)

Yes