* Fix fence(IoU) = 0 when training on PascalContextDataset59;

* Add a test case in test_metrics() of tests/test_metrics.py to test the bug caused by torch.histc;

* Update tests/test_metrics.py

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

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

* Fix typo: upsampe_cfg -> upsample_cfg

Signed-off-by: lizz <lizz@sensetime.com>

* convoluton -> convolution

Signed-off-by: lizz <lizz@sensetime.com>

* more

Signed-off-by: lizz <lizz@sensetime.com>

* ok

Signed-off-by: lizz <lizz@sensetime.com>

* pytorch metrics impl and test

* support list[str] input, delete unused test code and delete numpy version

* modify input data type

* add docstring and unitest of filename inputs

* add indents in docstring and use tempfile lib to create dir

* using with statement

* [Bug fix] Fixed ADE20k test

* fixed ade cfg

* memory efficient test

* implement efficient test

* merge

* Add document and docstring

* fix unit test

* add memory usage report

* add dice evaluation metric

* add dice evaluation metric

* add dice evaluation metric

* support 2 metrics

* support 2 metrics

* support 2 metrics

* support 2 metrics

* fix docstring

* use np.round once for all

* Add runner_type option

* pre-commit

* Fix max_iters

* Add by_epoch to EvalHook

* Add test_eval_hook for epoch runner

* Remove runner-type arg from tools/train

* Add missing every_n_iters check for epoch mode

* Bump mmcv min version

* Use build_runner

* Use interval in tests

* Update test_eval_hook.py

* Use every_n_epochs instead of every_n_iters. Update DistEvalHook

* Add test_dist_eval_hook_epoch

* Fix tests

* Add DeprecationWarning

* Update docs

* Replace DeprecationWarning with UserWarning

* Add D16-MG124 models

* Use MMCV DepthSepConv

* add OHEM

* add warmup

* fixed test

* fixed test

* change to bs 16

* revert config

* add models

* seperate

* fix acc and iou compute nan problem

* fix acc and iou compute nan problem

* add nan_to_num args for mean_iou

* add nan_to_num args for mean_iou

* add nan_to_num args for mean_iou

* add nan_to_num args for mean_iou

* add nan_to_num args for mean_iou

* Update mmseg/core/evaluation/mean_iou.py

* Update mean_iou.py

* Update mean_iou.py

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

* Generalized OHEM

* remove config

* update docstring

* fixed sort prob

* fixed valid_mask

* Support FP16

* add miss folder

* add tests

* remove useless config

* update memory

* reduce config

* migrate fp16 to mmcv

* add model link