sort keys before reduction

* Update checkpoint.py

if edit "{save_dir}/last_checkpoint" by vim, "\n" will auto append to the end of file. which will raise 

```
FileNotFoundError: [Errno 2] No such file or directory: 'save_dir/model_0060000.pth\n'
```

* Update checkpoint.py

if edit "{save_dir}/last_checkpoint" by vim, "\n" will auto append to the end of file. which will raise
```
FileNotFoundError: [Errno 2] No such file or directory: 'save_dir/model_0060000.pth\n'
```

* Fix indexing error in nms kernel

Here it is indexing a cuda tensor with CPU indices. It used to work, but 
after https://github.com/pytorch/pytorch/commit/006505bb8f9dcf0f38b32518308d071c8a1ccec6 it results in memory corruption.

* Use the device of other tensors

* add force json option

* fix the same issue as #185

* bug fix

* cityscapes config

* update paths catalog

* discard config change

* organize code for more-datasets

* use better representation for coco-style datasets

* rename coco-style config

* remove import

* chmod 644

* make the config more verbose

* update readme

* rename

* chmod

* make pixel indexes 0-based for bounding box in pascal voc dataset

* replacing all instances of torch.distributed.deprecated with torch.distributed

* replacing all instances of torch.distributed.deprecated with torch.distributed

* readme and predictor.py

* format modification and readme

In maskrcnn_benchmark/modeling/roi_heads/mask_head/inference.py
change line 125-126 to
w = int(box[2] - box[0] + TO_REMOVE)
h = int(box[3] - box[1] + TO_REMOVE)

* fix the same issue as #185

* add fix from the previous change

* Dockerfile with jupyter notebook support

* add instruction of building docker with jupyter

* upload dockerfile with jupyter support

* remove Dockerfile-jupyter

* remove jupyter_notebook_config.py

* update INSTALL.md

* Dockerfile with jupyter notebook support

* add instruction of building docker with jupyter

* upload dockerfile with jupyter support

* remove Dockerfile-jupyter

* remove jupyter_notebook_config.py

* update INSTALL.md

* apply changes in 1123

* update INSTALL.md

* update install.md

add description of the password
add -v flag

* clean up

* remove tensorflow copyright

* add support for pascal voc dataset and evaluate

* optimization for adding voc dataset

* make inference.py dataset-agnostic; add use_difficult option to voc dataset

* handle voc difficult objects correctly

* Remove dependency on lxml plus minor improvements

* More cleanups

* More comments and improvements

* Lint fix

* Move configs to their own folder

* add opencv support to Dockerfile

cv2 is used by predictor.py, so it's required

* install opencv-python from conda

* Add an option to postprocess masks during inference

* Fix COCO evaluation to resize masks ony if needed.

* Fix casting

* Fix minor issues in paste_mask_in_image

* Cast mask to uint8

* Make Masker batch compatible

* Remove warnings and stylistic changes

* fix some minor issues in dockerfile


RUN echo 'debconf debconf/frontend select Noninteractive' | debconf-set-selections
fixes
debconf: unable to initialize frontend: Dialog
debconf: (TERM is not set, so the dialog frontend is not usable.)
debconf: falling back to frontend: Readline
debconf: unable to initialize frontend: Readline
debconf: (This frontend requires a controlling tty.)
debconf: falling back to frontend: Teletype
dpkg-preconfigure: unable to re-open stdin: 

RUN apt-get update -y && apt-get install -y apt-utils
fixes
debconf: delaying package configuration, since apt-utils is not installed

* remove redundant command

* add -y to conda install and pip install

* remove -y from pip install

* added Dockerfile

* intructions for installation with docker

* INSTALL.md: added note to inform nvidia-docker only works with Linux

* dockerfile nccl2 hotfix

* INSTALL.md update

* removes explicit install of NCCL2 as it is included in the CUDA image

* adding registry to hook custom building blocks

* adding customizable rpn head

* support customizable c2 weight loading

* added Dockerfile

* intructions for installation with docker

* adds nccl to dockerfile

* Update Dockerfile

* Update INSTALL.md