* add mask fpn r50 2x & minor fix for MODEL ZOO doc (#2747)

* cherry-pick bug fix for release/1.5

* fix mask eval for multi-batch (#2772)

* cherry-pick bug fix for release/1.5

* fix faster rcnn use im_shape (#2779)

* cherry-pick bug fix for release/1.5

* refine bbox_normalize in infer.py (#2781)

* refine bbox_normalize in infer.py

* add is_bbox_normalize

* rename _forward to build

* check callable

* cherry-pick bug fix for release/1.5

* Prevent module instance from modifying global config (#2790)

some of the global config values are reference type, e.g., objects, lists or
dicts, if the created module instances modify those values (see FPN and
spatial_scale), global config will reflect these changes, and instances of the
same class created later will inherit the changed values

* Fix command line parsing for non module options (#2839)

* fix save_inference_model cannot find feed vars (#2842)

* fix save_inference_model cannot find feed vars

* remove comment

* fix format

* add comment for pruned var

* add log for prune

* Fix train+eval in PaddleDetection(#2847)

* resolve conflict merge error

* reset data_feed

* Fix SSD file path.

* Move object_detection to ssd.

* Shift up fluid models

* Update nlp submodules

* Add redirect guide in org readme

* Move HiNAS_models to AutoDL

* Delete file
* Rever the raw file

* Adjust the structure of whole repo

* Correct the readme for speec

* Update submodules LAC, Senta and SimNet

* Fix exeception when finishing training in detection.
* Fix fluid.Trainer in HiNAS_models.
* Remove coco doc in SSD detection.

* Quantization-aware training for SSD.
* Clean code and refine doc.

* add pyreader

* ce fix

* Accelerate reader in object_detection.

* revert reader

* object_detection accelerate

* update ce

* add ce run.sh

* Refine documentation and code.

* update wiki

* refine wiki

* train.py default args

* update wiki cn

* update wiki

* PyramidBox for face detection.

* Update some hyper parameters.

* Update pyramidbox.py

* fix parallel

* typo

* fix data best_map parameter bug

* ready to coco_reader

* complete coco_reader.py & coco_train.py

* complete coco reader

* rename file

* use argparse instead of explicit assignment

* fix

* fix reader bug for some gray image in coco data

* ready to train coco

* fix bug in test()

* fix bug in test()

* change coco dataset to coco2017 dataset

* change dataset from coco to coco2017

* change learning rate

* fix bug in gt label (category id 2 label)

* fix bug in background label

* save model when train finished

* use coco map

* adding coco year version args: 2014 or 2017

* add coco dataset download, and README.md

* fix

* fix image truncted IOError, map version error

* add test config

* add eval.py for evaluate trained model 

* fix

* fix bug when cocoMAP

* updata READEME.md

* fix cocoMAP bug

* find strange with test_program = fluid.default_main_program().clone(for_test=True)

* add inference and visualize, awa, README.md

* upload infer&visual example image

* refine image

* refine

* fix bug after merge

* follow yapf

* follow comments

* fix bug after separate eval and eval_cocoMAP

* follow yapf

* follow comments

* follow yapf

* follow yapf

* ready to coco_reader

* complete coco_reader.py & coco_train.py

* complete coco reader

* rename file

* use argparse instead of explicit assignment

* fix

* fix reader bug for some gray image in coco data

* ready to train coco

* fix bug in test()

* fix bug in test()

* change coco dataset to coco2017 dataset

* change dataset from coco to coco2017

* change learning rate

* fix bug in gt label (category id 2 label)

* fix bug in background label

* save model when train finished

* use coco map

* adding coco year version args: 2014 or 2017

* add coco dataset download, and README.md

* fix

* fix image truncted IOError, map version error

* add test config

* add eval.py for evaluate trained model 

* fix

* fix bug when cocoMAP

* updata READEME.md

* fix cocoMAP bug

* find strange with test_program = fluid.default_main_program().clone(for_test=True)

* add inference and visualize, awa, README.md

* upload infer&visual example image

* refine image

* refine

* fix bug after merge

* follow yapf

* follow comments

* fix bug after separate eval and eval_cocoMAP

* follow yapf

* follow comments

* follow yapf

* follow yapf