* wandb integration
* visualize using wandb tables
* wandb tables enhanced
* Refactor MMClsWandbHook (#1)
* [Enhance] Add extra dataloader settings in configs. (#752)
* Use `train_dataloader`, `val_dataloader` and `test_dataloader` settings
in the `data` field to specify different arguments.
* Fix bug
* Fix bug
* [Enhance] Improve CPE performance by reduce memory copy. (#762)
* [Feature] Support resize relative position embedding in `SwinTransformer`. (#749)
* [Feature]: Add resize rel pos embed
* [Refactor]: Create a separated resize_rel_pos_bias_table func
* [Refactor]: Refactor rel pos embed bias
* [Refactor]: Move interpolate into func
* Remove index buffer only when window_size changes
Co-authored-by: mzr1996 <mzr1996@163.com>
* [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>
* Bump version to v0.22.1 (#785)
* [Docs] Refine API reference. (#774)
* [Docs] Refine API reference
* Add PoolFormer
* [Docs] Fix docs.
* [Enhance] Reduce the memory usage of unit tests for Swin-Transformer. (#759)
* [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>
* [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>
* [Fix] Use symbolic link in the API reference of Chinese docs.
* [Enhance] Support training on IPU and add fine-tuning configs of ViT. (#723)
* implement training and evaluation on IPU
* fp16 SOTA
* Tput reaches 5600
* 123
* add poptorch dataloder
* change ipu_replicas to ipu-replicas
* add noqa to config long line(website)
* remove ipu dataloder test code
* del one blank line in test_builder
* refine the dataloder initialization
* fix a typo
* refine args for dataloder
* remove an annoted line
* process one more conflict
* adjust code structure in mmcv.ipu
* adjust ipu code structure in mmcv
* IPUDataloader to IPUDataLoader
* align with mmcv
* adjust according to mmcv
* mmcv code structre fixed
Co-authored-by: hudi <dihu@graphcore.ai>
* [Fix] Fix lint and mmcv version requirement for IPU.
* Bump version to v0.23.0 (#809)
* Refacoter Wandb hook and refine docstring
Co-authored-by: XiaobingZhang <xiaobing.zhang@intel.com>
Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: Weihao Yu <1090924009@qq.com>
Co-authored-by: takuoko <to78314910@gmail.com>
Co-authored-by: Yu Zhaohui <1105212286@qq.com>
Co-authored-by: Hubert <42952108+yingfhu@users.noreply.github.com>
Co-authored-by: Hu Di <476658825@qq.com>
Co-authored-by: hudi <dihu@graphcore.ai>
* shuffle val data
* minor updates
* minor fix
Co-authored-by: Ma Zerun <mzr1996@163.com>
Co-authored-by: XiaobingZhang <xiaobing.zhang@intel.com>
Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: Weihao Yu <1090924009@qq.com>
Co-authored-by: takuoko <to78314910@gmail.com>
Co-authored-by: Yu Zhaohui <1105212286@qq.com>
Co-authored-by: Hubert <42952108+yingfhu@users.noreply.github.com>
Co-authored-by: Hu Di <476658825@qq.com>
Co-authored-by: hudi <dihu@graphcore.ai>
* implement training and evaluation on IPU
* fp16 SOTA
* Tput reaches 5600
* 123
* add poptorch dataloder
* change ipu_replicas to ipu-replicas
* add noqa to config long line(website)
* remove ipu dataloder test code
* del one blank line in test_builder
* refine the dataloder initialization
* fix a typo
* refine args for dataloder
* remove an annoted line
* process one more conflict
* adjust code structure in mmcv.ipu
* adjust ipu code structure in mmcv
* IPUDataloader to IPUDataLoader
* align with mmcv
* adjust according to mmcv
* mmcv code structre fixed
Co-authored-by: hudi <dihu@graphcore.ai>
* sampler bugfixes
* sampler bugfixes
* reorganize code
* minor fixes
* reorganize code
* minor fixes
* Use `mmcv.runner.get_dist_info` instead of `dist` package to get rank
and world size.
* Add `build_dataloader` unit tests and fix sampler's unit tests.
* Fix unit tests
* Fix unit tests
Co-authored-by: mzr1996 <mzr1996@163.com>
* remove DistSamplerSeedHook for IterBasedRunner
* Register DistSamplerSeedHook for EpochBasedRunner only
Co-authored-by: Ma Zerun <mzr1996@163.com>
Co-authored-by: Ma Zerun <mzr1996@163.com>
* Add `title` option in `show_result_pyplot`.
* Add test_torchserver.py
* Add docs about test torchserve
* Update docs and result output.
* Update chinese docs.
The get_root_logger(log_file=None, log_level=logging.INFO) function does not needs the string type cfg.log_level as input. This bug does not have negative effect.
* Imporve result visualization to support wait time and change the backend
to matplotlib.
* Add unit test for visualization
* Add adaptive dpi function
* Rename `imshow_cls_result` to `imshow_infos`.
* Support str in `imshow_infos`
* Improve docstring.
* add mytrain.py for test
* test before layers
* test attr in layers
* test classifier
* delete mytrain.py
* register custom_hooks in runner
* set custom_hooks_config to cfg.get(custom_hooks, None)
* Use build_runner in train api
* Support iter in eval_hook
* Add runner section
* Add test_eval_hook
* Pin mmcv version in install docs
* Replace max_iters with max_epochs
* Set by_epoch=True as default
* Remove trailing space
* Replace DeprecationWarning with UserWarning
* pre-commit
* Fix tests
* add model inference on single image
* rm --eval
* revise doc
* add inference tool and demo
* fix linting
* rename inference_image to inference_model
* infer pred_label and pred_score
* fix linting
* add docstr for inference
* add remove_keys
* add doc for inference
* dump results rather than outputs
* add class_names
* add related infer scripts
* add demo image and the first part of colab tutorial
* conduct evaluation in dataset
* return lst in simple_test
* compuate topk accuracy with numpy
* return outputs in test api
* merge inference and evaluation tool
* fix typo
* rm gt_labels in test conifg
* get gt_labels during evaluation
* sperate the ipython notebook to another PR
* return tensor for onnx_export
* detach var in simple_test
* rm inference script
* rm inference script
* construct data dict to replace LoadImage
* print first predicted result if args.out is None
* modify test_pipeline in inference
* refactor class_names of imagenet
* set class_to_idx as a property in base dataset
* output pred_class during inference
* remove unused docstr
mzr1996
Ezra-Yu
Ayush Thakur
Hu Di
Ming-Hsuan-Tu
Zhicheng Chen
Youqing Xiaozhua
takuoko
Tan Y.Q
whcao
WRH
LXXXXR
Y. Xiong
agim-a
David de la Iglesia Castro
Lei Yang
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