* [Feature] Support setting start epoch and interval epoch for PAVI Logger Hook
* [Feature] Update the coding style as the maintainer wish
* fix: default integer division or modulo by zero
* fix: runner.epoch is less than start and use self.get_epoch instead of runner.epoch
* feat: support for iter-based runner and fix the step bug
* feat: iter based hook
* feat: fix bug and coding style
* fix: coding style
* fix: coding style
* fix: graph may add in evaluation
* support prroipooling
* fix build bug
* fix bug of precision
* fix lint
* add ut
* add license and citation
* polish op and add type hint
* refactor ut
* add docstring for prroipool
* polish code
* format cu and cuh code
* fix format
* fix format
* fix typo
Co-authored-by: zhouzaida <zhouzaida@163.com>
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
* [Feature] Add support for MPS
* fix import error
* update ut
* fix error
* trigger CI
* use a unique basename for test file modules
* avoid bc-breaking
* Add torch_meshgrid_ij wrapper due to PyTorch change
* Update torch_meshgrid name/doc/version implementation
* Make imports local
* add ut
* ignore ut when torch is not available
Co-authored-by: zhouzaida <zhouzaida@163.com>
* Fix batched_nms for rotated box.
Add type hint for nms.py
* Add test
* doc string
* revert symbolic hint
* fix max_coordinate
* add comment
* rename type
* fix typo docstring
* [Feature] Support Psamask with cambricon MLU backend
* [Fix] refine the format according to lint check
* Replace std:max/min with conditional operators
* [Fix] Format head files
* [Fix] Fix the problem that the instance cannot reuse when overwriting the file client.
* Remove _overridden_backends and _overridden_prefixes, and pop the old instance when overwriting the file client.
* add unittest
* fix prefix error
* modify clear_backend to overridden_backend
* Delete redundant comments.
* Fix the bug met in using nasfpn
Fix the bug met in using nasfpn which is mentioned at https://github.com/open-mmlab/mmdetection/issues/5987.
Avoid the strong restrictions of _resize function in BaseMergeCell:
1. When Downsampling the feature map, the feature map's shape must be divisible by the target size. We pad zero around feature map before max_pool2d opt to make it always divisible. (line 102 ~ 107)
2. Considering the different downsampling scale of H and W, shape[-2] and shape[-1] are involed in the definition of kernel_size. (line 110)
* Update merge_cells.py
check flake8 & isort
* Update merge_cells.py
* Update merge_cells.py
yapf
* Update mmcv/ops/merge_cells.py
X_pad rename to padding_x
Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>
* Update merge_cells.py
format the code style after renameing the X_pad to padding_x
* Update test_merge_cells.py
Mainly test the downsampling resize in BaseMergeCell. The smaller target size is set to (14, 7), the classical feature map's size in the last few stages of the backbone, which will product different downsampling scales in different dims.
* Update test_merge_cells.py
add "# Copyright (c) OpenMMLab. All rights reserved."
* Update merge_cells.py
format the variable name
* Update test_merge_cells.py
Testing divisible and indivisible situations simultaneously
* Update mmcv/ops/merge_cells.py
fix the bug when h is indivisible and w is divisible, the pad_w will be padded unreasonable.
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
* Update mmcv/ops/merge_cells.py
fix the bug when w is indivisible and h is divisible, the pad_h will be padded unreasonable.
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
* fix undefined error
* Update merge_cells.py
make pad_h, pad_w more readable
* Update test_merge_cells.py
use @pytest.mark.parametrize instead of 'for' methor
* Update merge_cells.py
* Update test_merge_cells.py
isort
* Update merge_cells.py
isort
Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
* config dump fix
dump should not depend on how config was loaded only where it is dumped
changed checks for type to the given filename instead of the source filename
* defined test_fromdict and fixed dump function
it might be more convoluted than it needs to be but the formatting depends on the extension of the argument or the extension of the self.filename
* config dump defaults to returning pretty_text, test_fromdict renamed to test_dump_from_dict
* some reformatting in docstrings
* refine unittest
* fix unit test as comment
* Refine docstring
* minor refinement
* import mmcv
* fix lint
Co-authored-by: HAOCHENYE <21724054@zju.edu.cn>
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
* add rotated_feature_align cpu implementation
* add rotated_feature_align onnxruntime implementation
* Update code for advices from grimoire
Remove useless comment from mmcv/ops/csrc/pytorch/cpu/rotated_feature_align.cpp
Replace ambiguous function name atomicAdd in mmcv/ops/csrc/pytorch/cpu/rotated_feature_align.cpp
Simplify unit test with parameter in tests/test_ops/test_rotated_feature_align.py
Use fma in interpolate in mmcv/ops/csrc/onnxruntime/cpu/rotated_feature_align.cpp mmcv/ops/csrc/pytorch/cpu/rotated_feature_align.cpp
* Inline the function to reduce the overhead of the function call
Use fma in interpolate
* enhance get_torchvision_models
* simplify logic
* Dump ckpt in torchvision lower than 0.13.0 to a json file
* add json
* refactor load urls logic
* fix unit test
* change url key to lower letters
* check torchvision version rather than check torch version in unittest
* Fix CI and refine test logic of torchvision version
* add comment
* support compare pre-release version
* support loaad modeel like torchvision
* refine comment.
* fix unit test and comment
* fxi unit test bug
* support get model by lower weights
* Make sure padding size is not negative
If Resize maintains aspect ratio, could be the case that image shape is bigger than resize value.
* Test pad shape smaller than image shape
* Fix lint
* Remove whitespaces
* update support for linearly learning rate decay
* Fix LinearAnnealingLrUpdaterHook, update LinearAnnealingMomentumUpdaterHook, add unit test
add docstring
add docstring
update linear lr momentum schedule test
fix ci
Fix CI
* add lr and momentum hook to runner and hooks package
add lr and momentum hook to runner and hooks package
* replace multi_optimziers with multi_optimizers
Co-authored-by: HAOCHENYE <21724054@zju.edu.cn>
Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>
* Add .owners.yml to mark daily issue shift
* Update .owners.yml
fix end of file
* Add __copy__() to Config
* fix format in config.py
* fix format in test_copy
* fix format in config.py
* Update config.py
* Update tests/test_utils/test_config.py
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
Yosuke Shinya
Yixiao Fang
xcnick
Peter Ye
Jingwei Zhang
q.yao
Zaida Zhou
Mashiro
zhouchenyang
Philipp Allgeuer
Yanyi Liu
Danila Rukhovich
Yue Zhou
Wencheng Wu
whcao
del-zhenwu
JarvisKevin
Jiazhen Wang
jmercat
pc
WilliamKyle
q.yao
Artem
Vince Jankovics
Hu Di
Charlyo
VVsssssk
Qiza-lyhm
Tan SU
Sharpiless
Tan SU
Wenhao Wu
Alex Yang