Stream camera frame to ObjectDetector?

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I have been using React-Native-Vision-Camera + react-native-fast-tflite. Unfortunately, I need to investigate an alternate solution to passing images to the model. This happens seamlessly with RNFastTFLite. I noticed with this MLKIt library, that a `uri` path "string" is needed to pass to the model. That would require converting the `frame` from RNVisionCamera's `frameProcessor` to an image on the device and then create a temp file path. This is going to be very memory & storage intensive, so not a good idea.

Does this MLKIt work well with frame streams, or is it designed to be more for single image processing? I see you can set `detectorMode: 'stream'` option for when initializing the original model options, but it still requires a string path?

Start by reviewing the ObjectDetector input path and the `detectorMode: 'stream'` option, then compare them with React-Native-Vision-Camera's `frameProcessor` output and RNFastTFLite's frame handling. Determine whether frames can be passed without creating temporary image files; done should be a documented answer or a clearly scoped implementation path.

Written by the indexing model from the issue text.