Upgrade trtis-detection component to use the NVIDIA Triton Inference Server

[fpertl]

Issues:

• Upgrade TRTIS detection component to use the NVIDIA Triton Inference Server openmpf#1399
• TRTIS detection component may wait forever for a response from the server openmpf#1170

Feature:

The MPF component Dockerfile was updated, but to portion which instantiates an inference server on the fly and copies over files to run for tests, was never executed. Development with vscode used separate .devcontainer/Dockerfile and .devcontainer/docker-dompose.yml not included on github. These can be provide if that is helpful for the review.

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This change is 

[jrobble]

From a user of the COCO model:

Hey!!! Heads up, Triton server, object detection, triton will crash if you send it an image that is like 3x > in either dimension than the other, like 300x100 = crash, 100x300 = crash

I'm not sure what the exact threshold is, but I use 3x as the threshold then pad the short side to be 1/2 of the longest. crash threshold might be like 3.5x, I tried 2.9x and it didn't crash.. something that was 3.8x crashed it

442x113 specifically

We should verify this isn't a problem, and if it is, consider padding the input image.