* Replace interpolate with resize

* Replace nn.Upsample with ops.Upsample

* Fix test

* Add docker/serve

* Add handler

* Add mmseg2torchserve

* Fix mmv minimum version

* Update docs with model serving section

* Update useful_tools.md

* pre-commit

* Update useful_tools.md

* Add 3dogs to resources

* Move mask to resources

* [Refactor]: Unified parameter initialization

* fixed pretrained

* Add  save_best option in eval_hook.

* Update meta to fix best model can not test bug

* refactor with _do_evaluate

* remove redundent

* add meta

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

* add trt test tool

* create deploy_test, update document

* fix with isort

* move import inside __init__

* remove comment, fix doc

* update document

* fix verify bugs

* rename args

* add onnxruntime test tool, update pytorch2onnx to support slice export

* onnx convert with custom output shape, update test code

* update pytorch2onnx, add rescale_shape support, add document

* update doc for lint error fixing

* remove cpu flag in ort_test.py

* change class name, fix cuda error

* remote comment

* fix bug of torch2onnx

* mIOU to mIoU

* fixed fp16

* update fps

* add tool pytorch2torchscript

* fix the assert message for pytorch version.

* add dynamic export and visualize to pytorch2onnx

* update document

* fix lint

* fix dynamic error and add visualization

* fix lint

* update docstring

* update doc

* Update help info for --show

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

* fix lint

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

* add print model graph for print_config tool

* add print model graph for print_config tool

* fix double quoted

* fix iosort

* Support plot logs

* add plot log docs

* [Improvement] Move train_cfg/test_cfg inside model

* fixed config dict

* fixed config dict

* 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