[WIP] Add the config file of parameter tuner for object detection

[nlpng]

Motivation and Context

Previously, there were not config file provided for object detection of the experimental parameter tuner. This PR provides it.

Description

• This PR includes the config file for tuning the lm_yolo model in lmnet with name lm_fyolo_quantize_pascalvoc_2007_2012_tune.py.
• Since training the model requires the 'warm-up' step, the parameter of soft_start is provided to support the 'warm-up' step.

How has this been tested?

Screenshots (if appropriate):

Types of changes

• [ ] Bug fix (non-breaking change which fixes an issue)
• [x] New feature / Optimization (non-breaking change which adds functionality)
• [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)

Checklist:

• [ ] My change requires a change to the documentation.
• [ ] I have updated the documentation accordingly.

[iizukak]

Super Nice PR!! We want hyper parameter search on OD.

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[CLAassistant]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you all sign our Contributor License Agreement before we can accept your contribution.
1 out of 13 committers have signed the CLA.

:white_check_mark: iizukak
:x: ruimashita
:x: nlpng
:x: kchygoe
:x: tsawada
:x: Joeper214
:x: primenumber
:x: lm-jira
:x: tvlenin
:x: yd8534976
:x: wtnb93
:x: hadusam
:x: odoku
_{You have signed the CLA already but the status is still pending? Let us recheck it.}