* memory efficient test

* implement efficient test

* merge

* Add document and docstring

* fix unit test

* add memory usage report

* refactor docs

* add docs

* add modelzoo

* refactor getting started

* fix dataset jpg bug

* fix syntax error

* fix filename bug

* define blood vessel dataset

* redo debug

* fix small bug

* rename dataset

Co-authored-by: yamengxi <yamengxi@sensetime.com>

* Add blood vessel dataset processing script

* Fix syntax error

* Fix syntax error

* Fix syntax error

* Fix bugs

* Fix bugs

* Fix bugs

* Use safe functions and expand more apis

* Use safe functions and expand more apis

* Fix hard code and verify dataset integrity

* rm redundancies

* re-add some packages

* Add Pascal Context to mmsegmentation

* Add benchmark result to Pascal Context

* fix mmcv version

* fix code syntax

* fix code syntax again

* Update mmseg/models/segmentors/encoder_decoder.py

update hint

Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>

* update comment

* fix pascal context model path

* fix model path mistake again

* fix model path mistake again

* fix model path mistakes again

Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>

* add customized Upsample which can convert to ONNX

* support multiply decode head for hrnet

* support size for Upsample

* add pytorch2onnx part

* Update according to the latest mmcv

* add docstring

* update docs

* update docs

Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>

* Auto get version info and git hash

* bump 0.5.1 and update doc

* fixed docs

* Add change log

* Add load-from flag

* minor update

Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>

* Fixed voc aug convert

* update getting_started.md

* add class balanced doc

* add test tutorial

* remote torch/torchvision from requirements

* update getting started

* rename drop_out_ratio -> dropout_ratio