Enable DINO to OTX - Step 1. Enable Deformable DETR to OTX

[jaegukhyun]

Summary

As a first step to bring DINO to OTX, this PR enable Deformable DETR to OTX.
Since mmdeploy do not support Deformable DETR(it supports only DETR), there are some custom patches for mmcv and mmdeploy ops

Known Issue

1. Current Deformable DETR use fixed schedule, not early stopping and plateau lr decay
2. Current Deformable DETR does not support smart weight loading, and other class incremental technique
3. Current DetClassProbabilityMapHook does not support End-to-End detector
4. When inference with exported Deformable DETR, there are some bottleneck for some images
   

These known issues are handled after implementing DINO from this PR

How to test

Unit tests and integration tests are added. E2E Test will be added after implementing DINO

Checklist

• I have added unit tests to cover my changes.​
• I have added integration tests to cover my changes.​
• I have added e2e tests for validation.
• I have added the description of my changes into CHANGELOG in my target branch (e.g., CHANGELOG in develop).​
• I have updated the documentation in my target branch accordingly (e.g., documentation in develop).
• I have linked related issues.

License

• I submit my code changes under the same Apache License that covers the project.
  Feel free to contact the maintainers if that's a concern.
• I have updated the license header for each file (see an example below).

# Copyright (C) 2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

[eunwoosh]

Thanks for adding great model :)
I left some comments. please take a look.

[harimkang]

Welcome to the new algorithm. It looks good for the most part, and I have a few comments.

[harimkang]

LGTM!

BTW, Anything to add to the documentation for this?

[jaegukhyun]

LGTM!

BTW, Anything to add to the documentation for this?

Documentation will be updated after adding DINO and conducting some experiments on public datasets