125b74d4ca
[Refactor] Refactor MNIST and FashionMNIST dataset.
2022-07-18 11:11:13 +08:00
ee6e585e41
Mazerun/base classifier
2022-07-18 11:11:13 +08:00
d6fa480915
[Refactor] Add VOC dataset and mutil_label dataset
2022-07-18 11:11:13 +08:00
522ab1fd84
[Feature] Add Visualization hook
2022-07-18 11:11:04 +08:00
c78b5597d8
[Refactor] refactor randomCrop, randomResizeCrop and CenterCrop。
2022-07-18 10:57:17 +08:00
c0feadf546
Refactor `RandomErasing`
2022-07-18 10:53:56 +08:00
4f28b9dd63
[Refactor] refactor AutoAugment and RandAugment
2022-07-18 10:53:56 +08:00
3b6d44ea05
[Refactor] Refactor CIFAR10 and CIFAR100 dataset.
2022-07-18 10:53:56 +08:00
995b1d0d58
[Refactor] Add `ResizeEdge` and refactor all dataset configs.
2022-07-18 10:53:56 +08:00
4d4b22377d
Add browse dataset
2022-07-18 10:53:56 +08:00
efaa93aae1
[Refactor] Refactor entry scripts `train.py` and `test.py`.
2022-07-18 10:53:56 +08:00
6ad75f0076
[Feature] Add metrics for single-label classification.
2022-07-18 10:53:28 +08:00
93a27c8324
[Feature] Add `PackClsInputs` and use `LoadImageFromFile`, `Resize` & `RandomFlip` in MMCV.
2022-07-18 10:53:28 +08:00
0537c4d70c
[Feature] Add `ClsVisualizer`.
2022-07-18 10:53:27 +08:00
27e685fe10
[Feature] Add `BaseDataset`, `CustomDataset`, `ImageNet` and `ImageNet21k`
2022-07-18 10:53:27 +08:00
98377df512
Update ClsDataSample design
2022-07-18 10:53:27 +08:00
ce2b40133b
Add property, setter and deleter.
2022-07-18 10:53:27 +08:00
4bf54066c9
Add ClsDataSample
2022-07-18 10:53:27 +08:00
de002e455f
[Refactor] Use `MMLogger` from MMEngine in `get_logger` and `print_log`.
2022-07-18 10:53:27 +08:00
088d5b5add
[Refactor] Inherit all registries from MMEngine and use inherited registries.
2022-07-18 10:53:27 +08:00
b5193a9029
[Fix] Reduce unit test memory usage of T2T-ViT
2022-05-16 17:01:30 +08:00
59292b315a
[Feature] Support DenseNet. ( #750 )
...
* init add densenet implementation
* Add config and converted models
* update meta
* add test for memory efficient
* Add docs
* add doc for jit
* Update checkpoint path
* Update readthedocs
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-04-28 13:06:03 +08:00
df6edd7f5a
[Feature] Support VAN. ( #739 )
...
* add van
* fix config
* add metafile
* add test
* model convert script
* fix review
* fix lint
* fix the configs and improve docs
* rm debug lines
* add VAN into api
Co-authored-by: Yu Zhaohui <1105212286@qq.com>
2022-04-28 09:35:17 +08:00
504e71c3e0
[Enhance] Reduce the memory usage of unit tests for Swin-Transformer. ( #759 )
2022-04-22 17:41:15 +08:00
2eb27d0d4e
[Feature] Add PoolFormer backbone and checkpoints. ( #746 )
...
* add PoolFormer
* fix some typos in PoolFormer
* fix lint error
* modify out_indices and gap
* fix typo
* fix lint
* fix typo
* fix typo in poolforemr README
* fix lint
* Update some paths
* Refactor freeze_stages method
* Add unit tests
* Fix lint
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-04-15 11:35:15 +08:00
922a31a68e
[Feature] ADD RepMLP Backbone and checkpoints. ( #709 )
...
* add repmlp
* refactor backbone code
* add checkpoint, readme, unit tests
* unchange demo
* improve docstring.
* update pic
* refactor patch embed
* refactor unit tests
* fix lint
* update tools
* update tools
* Update checkpoint path
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-03-30 20:40:25 +08:00
292127098f
[Feature] Add CSPNet and backbone and checkpoints ( #735 )
...
* add cspnet backbone
* try
* add backbones
* add cspnet
* add acc
* add unit tests
* chnage mode
* Update checkpoint path
* Fix typo
* Imporve CSPNet
* Update checkpoints
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-03-30 15:29:35 +08:00
d0d6f73fab
[Feature] Add `CustomDataset`. ( #738 )
...
* Add custom dataset and refactor ImageNet dataset
* Add default CLASSES for CIFAR dataset
* Add unit tests
* Imporve according to comments
2022-03-30 15:28:26 +08:00
a19c28fe95
[Enhance] Add `get_cat_ids` and `get_gt_labels` to KFoldDataset. ( #721 )
2022-03-23 15:57:36 +08:00
04cb42a768
[Feature] Support ConvMixer. ( #716 )
...
* basic support for ConvMixer
* simplify
* add data pipeine config for timm
* Add model readme and metafile
* add unittest for convmixer
* add copyright
* modify
* add tests
* update model
* add conv2dAdaptivePadding replacement
* update model index
* fix comments
* Update checkpoint path
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-03-23 15:23:57 +08:00
aa522f4309
[Feature] Support CUB dataset. ( #703 )
...
* support cub dataset
* support cub dataset
* fix train lint error
* add docs
* fix class label
Co-authored-by: Ezra-Yu <1105212286@qq.com>
* del debug code
* skip docformatter problem
* add unit tests
* add CUB baseline configs and chpts
* fix some typos
* fix name style
* update flops
Co-authored-by: Ezra-Yu <1105212286@qq.com>
2022-03-16 16:22:28 +08:00
c1534f9126
[Feature] Support resizemix. ( #676 )
...
* add resizemix
* skip torch.__version__ < 1.7.0
* Update mmcls/models/utils/augment/resizemix.py
Co-authored-by: Ma Zerun <mzr1996@163.com>
* Update mmcls/models/utils/augment/resizemix.py
Co-authored-by: Ma Zerun <mzr1996@163.com>
* resize -> F.interpolate
* fix docs
* fix test
* add Copyright
* add argument interpolation
Co-authored-by: Ma Zerun <mzr1996@163.com>
2022-03-07 12:11:20 +08:00
c708770b42
[Enhance] Support dynamic input shape for ViT-based algorithms. ( #706 )
...
* Move `resize_pos_embed` to `mmcls.models.utils`
* Refactor Vision Transformer
* Refactor DeiT
* Refactor MLP-Mixer
* Refactor Swin-Transformer
* Remove `indexing` arg
* Support dynamic inputs for t2t_vit
* Add copyright
* Fix bugs in swin transformer
* Add `pad_small_maps` option
* Update swin transformer
* Handle `attn_mask` in checkpoints of swin
* Imporve by comments
2022-03-03 13:10:12 +08:00
1214df083d
[Enhance] Use PyTorch official `one_hot` to implement `convert_to_one_hot`. ( #696 )
...
* some change to mmcls/models/losses/utils.py:convert_to_one_hot()
* fixed problem: line too long
* fixed wrong output shape
* fixed lint PEP8 E128
* fix lint
* fix lint
* add unit tests
Co-authored-by: Ezra-Yu <1105212286@qq.com>
2022-02-28 10:20:31 +08:00
5f7322c211
[Fix] Fix Conformer forward with irregular input size. ( #686 )
...
* Auto pad the feature map to be divisible by 4.
* Add unit tests
* Use `trans_down_stride` instead of 4.
2022-02-28 10:17:52 +08:00
28e3bc8fd9
[CI] Add Windows CI. ( #708 )
...
* Update workflow to add Windows CI
* Add some optional requirements to requirements/optional.txt
* Update setup.py
* Update PyTorch version in Windows CI
* Update CI and requirement
* Replace `tempfile.NamedTemporaryFile` to avoid unit test error on
Windows
* Update tests
* Update CI
* Add OpenCV installation
* Update CI
2022-02-28 10:06:08 +08:00
7fcaedcbfb
[Feature] Add ResNetV1c. ( #692 )
...
* add ResNetV1c
* add unit tests
* fix lint
* update docstring
* fix lint
2022-02-23 11:36:33 +08:00
43024cda73
[Feature] Support gem pooling ( #677 )
...
* add gem pooling
* add example config
* fix params
* add assert
* add param clamp
* add test assert
* add clamp
* fix conflict
2022-02-17 02:17:36 +08:00
fcd57913ae
[Enhance] Upgrade isort pre-commit hooks. ( #687 )
...
* Use new version flake8 and isort hooks
* Fix missing copyright
2022-02-17 02:17:20 +08:00
bca695b684
[Refactor] Remove deprecation. ( #633 )
...
* Remove deprecated `--options` in some tools
* Remove deprecated eval hooks and fp16 hooks
* Remove deprecated mixup&cutmix, pretrained and return_tuple arguments.
* Remove deprecated `deprecated_options` in multi label dataset
* Remove deprecated `formating.py`
* Remove deprecated default mode of `LabelSmoothLoss`
* Revert pretrained argument, and remove it's deprecation sign.
* Update unit test
2022-02-10 09:30:18 +08:00
5de480ea9e
[Feature] Support HRNet and add pre-trained models ( #660 )
...
* Support HRNet
* Add HRNet configs
* Fix a bug in backward
* Add configs and update docs.
* Not use bias in conv before batch norm
* Defaults to use `norm_eval=False`
* Add unit tests and support out_channels in HRFuseScales
* Update checkpoint path
* Update docstring.
* Remove incorrect files
* Improve according to comments
2022-01-28 10:54:14 +08:00
dc456a0c2c
[Feature] Support ConvNeXt ( #670 )
...
* Support ConvNeXt
* Add configs of ConvNeXt
* Update dev scripts
* Update docs.
* Use new style README
* Add unit tests.
* Update README
* Imporve according to comments
* Modify refers to timm.
* Imporve according to comments
2022-01-28 10:36:45 +08:00
94eb3ff83e
[Feature] Add Twins backbone and convert checkpoints. ( #642 )
...
* add twins backbone
* add position_encoding
* refactor twins
* Supplemental unit tests
* update docstring and readme
* update docstring and readme
* update docstring and readme
* update docstring
* update docstring
* update docstring
* update docstring
* remove note
* update doc and docstring
* update docstring
* update docstring
* use abstract pdf link and rename yamlfile
* Update model link
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-01-27 10:25:05 +08:00
f552419e45
[Enhance] Add setup multi-processing both in train and test. ( #671 )
2022-01-27 10:18:36 +08:00
d56170a734
[Feature] Support EfficientNet ( #649 )
...
* add config for resnest test
* fix config
* add label smoothing
* add memcached
* minor fix
* fix bug
* fix config
* add config
* minor fix
* fix configs
* use EResize
* change interpolation
* add more configs
* add docsting
* add unittest
* remove unnecessary changes
* minor fix
* add more docstring
* fix linting
* add efficient backbone
* add config
* add Edge Residual
* fix bug
* remove unnecessary files
* refactor
* add resize in crop to ensure crop size is output size
* fix bug and add comments
* test
* fix
* add more configs
* add more configs
* add more configs
* fix bug
* add model zoo
* fix
* reorganize code
* add edge tpu
* add edge tpu converter
* rename
* update readme
* reorganize code and config
* Rename configs of EfficientNet, and add metafile & model_zoo
* Remove `backend='pillow'`
* Add comments about EfficientNet-EdgeTPU
* Rename the convert tool of EfficientNet.
* Refactor EfficientNet and update docstring.
* Update EfficientNet-EdgeTPU config
* Fix unit tests
Co-authored-by: lixinran <lixr423@outlook.com>
Co-authored-by: lixinran <lixinran@sensetime.com>
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-01-25 12:14:17 +08:00
16864c7495
[Feature] Support features_only in TIMMBackbone ( #668 )
...
* Support features_only in TIMMBackbone
based on https://github.com/open-mmlab/mmsegmentation/pull/998
* update test for mmdet
* fix unit test for build_without_timm
* Update docstring
Co-authored-by: mzr1996 <mzr1996@163.com>
2022-01-25 11:22:23 +08:00
e694269c59
[Enhance] Support single-label, softmax, custom eps by asymmetric loss ( #609 )
...
Co-authored-by: Minyus <Minyus@users.noreply.github.com>
2022-01-21 11:35:14 +08:00
d29037e8d1
[Enhance] Suport Mixup&Cutmix for multi-label task.
2022-01-21 11:30:58 +08:00
b39885d953
[Feature] Support K-fold cross-validation ( #563 )
...
* Support to use `indices` to specify which samples to evaluate.
* Add KFoldDataset wrapper
* Rename 'K' to 'num_splits' accroding to sklearn
* Add `kfold-cross-valid.py`
* Add unit tests
* Add help doc and docstring
2022-01-19 18:32:55 +08:00
7dfc9e4a85
Bump version to v0.19.0 ( #623 )
2021-12-31 12:55:47 +08:00
yingfhu
mzr1996
Ezra-Yu
Hubert
takuoko
Weihao Yu
huyu
HumberMe
Zhicheng Chen
Yosuke Shinya
Yusuke Minami