* add Color augmentation
* reformat
* reformat
* reformat docstring
* reformat docstring
* add more unit test
* add more unit test
* add clip value and uint test for image with type float
* rename function name
* Support to split batched_nms when box number is too large
* mv data from gpu to cpu
* Set split_thr through nms_cfg
* clean code
* Update motivation in docstring
* fix typos
* add ema hook
* add ema hook resume
* add ema hook test
* fix typo
* fix according to comment
* delete logger
* fix according to comment
* fix unitest
* fix typo
* fix according to comment
* change to resume_from
* typo
* fix isort
* add pairwise function for 'gaussian' and 'concatenation' mode
* rename test function
* decrease the complexity of nonlocal unittest
* fix typo and make unittest more complete
* add unittest when zero_init is False
* minor fix
* pack theta and phi
Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
* fix: remove all module wrapper when saving checkpoint
* refactor: move position of if
* docs: add docstring
* refactor: add _save_to_state_dict from official torch
* docs: modify docstring of _save_to_state_dict
* docs: modify docstring
* feat: add unittest
* feat: add DataParallel to unittest
* fix: a bug when model has batchnorm
* docs: update docstring
* update config with predefined variables
* rm redun
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* add test for config
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* support all types
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* newline at the end
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* update
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* extract code into a function and add docs
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* fix and add tests
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* add unit tests and fix
* fix
* fix minor
* fix test
* migrate op
* migrate unittest
* update build no torch
* add back use_torch_vision for roi align
* fix type and unit test
* ignore test logging when no torch
* fix no torch ci test
* skip test registry
* remove coverage report when no torch
* fix mac ci order
* install latest pillow when no torch
* mv convws to brisk
* update actiion
* remove 1.3 cuda
* reorder
* add no torch
* fixed version
* make py3.8 on pt1.5
* make py3.8 on pt1.5
* remove torch 1.3
* disable py3.8
* pip
* merge master with cuda compile fix
* add cpu roi align
* fixed test
* fixed no torch
* add CUDA_ARGS
* use one line
* gencode=61
* seperate jobs
* update lint
* use parametrize test
* formart and rename
* unit test for all
* add ext ops, support parrots
* fix lint
* fix lint
* update op from mmdetection
* support non-pytorch env
* fix import bug
* test not import mmcv.op
* rename mmcv.op to mmcv.ops
* fix compile warning
* 1. fix syncbn warning in pytorch 1.5
2. support only cpu compile
3. add point_sample from mmdet
* fix text bug
* update docstrings
* fix line endings
* minor updates
* remove non_local from ops
* bug fix for nonlocal2d
* rename ops_ext to _ext and _ext to _flow_warp_ext
* update the doc
* try clang-format github action
* fix github action
* add ops to api.rst
* fix cpp format
* fix clang format issues
* remove .clang-format
Co-authored-by: Kai Chen <chenkaidev@gmail.com>
* Add utils to calculate model complexity info
* remove _InstanceNorm in unittest
* add docstring and increase unittest coverage
* fix deconv_flops_counter_hook to accept different data shape
* test when model is not a common instance
* put flops_counter.py and weight_init.py into mmcv/cnn/utils folder
* fix import name
* reformat some docstrings
* update the scripts with latest one and remove redundant codes
* directly represent a model without string and eval()
* reformat code
* feat: support for os.environ port for slurm training
* fix: port data type
* feat: add flawed unittest
* feat: add flawed unittest
* docs: add comments
* fix: unittest
* fix: unittest
* add non_local module
* rewrite non local module comments
* perfect docstring and adjust init function
* not to init norm layer
* Correct initialize when there is a norm
* set normal method for both embedded_gaussian and dot_product
* feat: add custom_group to DefaultOptimConstrutor
* refactor: move custom_groups validate to _validate_cfg
* docs: add doc to explain custom_groups
* feat: add unittest for non_exist_key
* refactor: one param per group
* fix: small fix
* fix: name
* docs: docstring
* refactor: change to mult for only lr and wd custom
* docs: docstring
* docs: more explaination
* feat: sort custom key
* docs: add docstring
* refactor: use reverse arg of sorted
* docs: fix comment
* docs: fix comment
* refactor: small modi
* refactor: small modi
* refactor: small modi
