* update yolov3/ssd bbox AP

* refine MODEL ZOO

* fix AP

* add size 416 320

* fix link

* fix format

* fix align

* add model zoo document file

* polish and fix some errors in README.md

* Update README.md

* Update README.md

* refine readme and fix train bug

* update darknet53 pretrain link

* update weights path

* update readme

* Rename object_detection to PaddleDetection
* Small fix for doc

* Revise README.md

* Revise `GETTING_STARTED.md`

* Revise `INSTALL.md`

* Add `CONFIG.md`

* Fix RetinaNet backbones in README

* Fix cascade backbones in README

* Fix capitalization

* Replace demo images and update visualize funcall

* Revise `DATA.md`

* Fix link to `DATA.md`

* Fix capitalization

* refine bbox visualize

* use different color for different categories

* change color range

* fix gan readme

* add multi process implementation for yolov3

* fix typo

* fix reademe

* fix init_path for test

* add se_resnext for dygraph

* rcnn config

* code migration for mutiple process

* Clean up config files

- reorder: batch_size -> data_set -> sample_transforms -> batch_transforms -> worker -> other
- unify bool values, lower case true/false
- remove `null` values
- remove `shuffle` settings, covered by default values

* Update ResNet50 pretrained weight url

* Remove `use_padded_im_info` settings, covered by default value

* Update README.md

* fix x0,y0 out of bound

* clip x1/y1

* Add GC in train.py by defalut and change data co dataset in configs
* Update docs/INSTALL.md
* Enable build_strategy.enable_inplace = True

* test=develop add retinanet_r101 and delete needless configures in data feeder

* test=develop
add retinanet_r101 and delete needless configures in data feeder

* fix infer and conflict attribute