* support .tif .img read

* add data analyse and check tools

* upgrade to adapt new dataset

* remove global

* optimize function, file names

* modify label tool

* fix label tools bug

* add RemoteSensing

* optimize data clip and normalize method for remote sensing

* fix label problem using mobile devices

* add README.md

* polish README.md, optimize main.py and transforms.py, add transforms.md

* add demo dataset

* add create_dataset_list tool, requirements.txt

* add channel-by-channel normalize and clip, remove RemoteSensing import

* update vdl to 2.0

* polish README

* add tool to randomly split dataset and generate file list

* open eval_best_metric while traing, fix typo

* remove python2.7 ci

* add hrnet, polish README

* add metrics for unet like precision,recall,etc

* save more attrs in model.yaml, fix typo

* optimize predict_demo.py

* fix hrnet dice loss bug

* polish remote sensing README

* refactor model base class

* modify train_demo.py

* Update README.md

* Update requirements.txt

* update solver.py and model_builder.py

* update solver.py

* update infer.py

* update model_builder.py for fitting different aug_method

* update model_builder.py

* update model_builder.py

* update export process

* save best model

* update train.py

* update train.py

* update train.py

* eval for last epoch model

* check model path

* check TEST.TEST_MODEL

* reconsitution humanseg

* first refactor humanseg

* update humanseg.py and add main.py

* frist add

* add shufflenet

* first add

* add hrnet

* add tutorial

* add humanseg infer

* add realtime humanseg

* update hrnet.py

* update humanseg.py

* rm cpp deploy

* add infer of resize_bylong

* update

* update infer.py

* update some

* update humanseg.py

* image_segment and video_segment add to class HumanSeg

* add quant

* resolve with_data_parallel problem

* add coeff params

* add demo

* update

* update __init__.py

* add setup.py