* Add cascade_rcnn_cls_aware_r200_vd_fpn_dcnv2_nonlocal_softnms model on oidv5 and obj365.
* Add obj365 config annotation
* Update docs.

* move path to PaddleDetection repo in docs

* refine README

* change fluid.layers.data to fluid.data

* fix export_model doc

* add softnms, nonlocal, resnet200_vd_backbone
* add CBNet
* update model zoo

* update code & doc

* change voc_loader

* add x2coco.py

* Update DATA.md

* Update DATA_cn.md

* add export_model doc

* add CACascadeRCNN doc
* add pretrain model download link

* Update PaddleDetection README
* Fix some link

* Update PaddleDetection/README_cn.md
* Follow comments
* Small update

* Add inference benchmark
* Adjustment order
* Update some descriptions

* refine doc for transfer learning

* add face doc
* update face detection readme and add demo jpg

* refine download sh to py

* update QUICK_STARTED

* Error out if fp16 is enabled and affine channel is used

* Add more documentation on mixed precision training

* Document mixed precision training flags

* Clarify GPU is required for mixed precision training

* Support finetune by custom dataset

* add finetune args

* add load finetune

* reconstruct load

* add transfer learning doc

* add fruit demo

* add quick start

* add data preprocessing FAQ

In PaddleDetection,  making use of tb-paddle to record data, so as to display in TensorBoard.  (#3295)

* use tb_paddle to log data
including:

* loss
* mAP
* image

* modified:   requirements.txt
* modify the missing argument --use_tb
* modify GETTING_STARTED.md and docs/GETTING_STARTED_cn.md

add the argument of tb-paddle in docs.
* optimize the display name of image displaying.

* Add benchmark (fps) in MODEL_ZOO doc

* add gn doc

* update model zoo doc

* add yolov3_darknet cinfig comment

* fix commment

* add log_iter

* Add full configs example & refine doc

* refine docs

* add_ssd_config_demo