* fix data-anchor-sampling and use depthwise conv

* Refine evaluation code.
* Clean code.

* Fix bug in data anchor sampling.
* Add argument for memory optimization.
* Change arguments in detection_output.

* Add data anchor sampling in PyramidBox paper.

* Add head bbox for Pyramid-Box model.

* Fix bug in transform_labels and satisfy_sample_constraint function.

* Add object_coverage constraint & fix bbox_labels data layout bug

* code clean

* Support groups in de-conv and fix bug.

* Clean code.

* Fix model config.

* Some mirror changes in data argumentations.

* Set learning rate by input arguments.

* Support groups in de-conv and fix bug.

* Clean code.

* training code of pyramidbox

* Fix code format.

* 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

* fix expand data aug

* fix expand data aug