* update mot vehicle modelzoo

* update bdd100k visdrone vehicle  modelzoo

* add pedestrian vehicle cfgs

* fix metric category

* fix mot metric

* fix mot metric

* update pedestrian and vehicle modelzoo

* update headtracking modelzoo

* add tools for data processing

* add data pre-process code

* fix tools code format

* add --save_prediction_only support for TopDown KeyPoint Metric

* add a use case for save_prediction_only

* add kitti metric

* clean kitti metric code

* fix kitticars doc

* remove kitti headtracking cfgs

* remove kitti headtracking cfgs, clean code

* fix datatype and ffmpeg, test=document_fix

* add soft link, test=document_fix

* add doc link, test=document_fix

* fix deploy image_list, test=document_fix

* add python train time eval

* add mpii infer support

Besides removing unnecessary imports, this also fixes the missing logger module in test_architectures.py within the static directory.

* add deepsort export model, reid infer

* fix jde_yolov3 metric

* fix deepsort deploy

* fix doc, clean code

* add mot deploy infer image, add run_benchmark

add dark deploy supported, mpii deploy supported;

* support --eval for s2anet

* add spine dataset and config yml for s2anet

* add doc for s2anet

* update doc

* fix typo, test=document_fix

* add some comments, and update import

* remove mot metric

* lazy import motmetrics

* add config for jde and deepsort, add engine metric tools

* add mot_metrics

* fix configs engine and others

* fix configs others

* move configs

* fix ap_per_class, fix doc

* fix test_mode, seqs

* fix test_mode to metric

* fix JDE arch metric

* clean requirement

* add to requirement

* Add BottomUp HigherHRNet for pose.
* reverse xtcocotools to pycocotools

* fix voc eval

* remove debug code

* add comments

* update comment for collate_batch

* Add S2ANet model for Oriented Object Detection.

* refine ppdet file name

* unify bbox_utils

* update files

* update for ci-travis

* refine trainer