Add Cog file to build Docker image

[ArielReplicate]

Hey @FateScript! 👋

Thank for this well organised project! YOLOX is really great in its simplicity and detection quality.

This pull request makes it possible to run your model inside a Docker environment, which makes it easier for other people to run it. We're using an open source tool called Cog to make this process easier.

This also means we can make a web page where other people can run your model! View it here: https://replicate.com/arielreplicate/yolox

Replicate also have an API, so people can easily run your model from their code:

import replicate
model = replicate.models.get("[arielreplicate/yolox]")
detections_dict = model.predict(input_image=<path to file>, return_json=True)

If you'd like to modify the Replicate page on your own, let me know and I can transfer ownership to your account.

If you're only interested in the REAMDE link you can go ahead and only add it.

In case you're wondering who I am, I'm from Replicate, where we're trying to make machine learning reproducible. We got frustrated that we couldn't run all the really interesting ML work being done. So, we're going round implementing models we like. 😊

[CLAassistant]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.
_{You have signed the CLA already but the status is still pending? Let us recheck it.}

[FateScript]

@ArielReplicate Thx for your contribution :) Plz sign the CLA to enable the github workflow.
I will review your code ASAP.