* [Enhance] add pre-commit hook for algo-readme and copyright (#213)
* [Enhance] add test windows in workflows (#215)
* [Enhance] add test windows in workflows
* fix lint
* add optional requirements
* add try-except judgement
* add opencv installation in windows test steps
* fix path error on windows
* update
* update path
* update
* add pytest skip for algorithm test
* update requirements/runtime.txt
* update pytest skip
* [Docs] translate 0_config.md into Chinese (#216)
* [Docs] translate 0_config.md into Chinese
* [Fix] fix format description in 0_config.md
* Update: 0_config.md
* [Fix] fix tsne 'no `init_cfg`' error (#222)
* [Fix] fix tsne 'no init_cfg' and pool_type errors
* [Refactor] fix linting of tsne vis
* [Docs] reorganizing OpenMMLab projects and update algorithms in readme (#219)
* [Docs] reorganizing OpenMMLab projects and update algorithms in readme
* using small letters
* fix typo
* [Fix] fix image channel bgr/rgb bug and update benchmarks (#210)
* [Fix] fix image channel bgr/rgb bug
* update model zoo
* update readme and metafile
* [Fix] fix typo
* [Fix] fix typo
* [Fix] fix lint
* modify Places205 directory according to the downloaded dataset
* update results
* [Fix] Fix the bug when using prefetch under multi-view methods, e.g., DenseCL (#218)
* fig bug for prefetch_loader under multi-view setting
* fix lint problem
Co-authored-by: liming <liming.ai@bytedance.com>
* [Feature]: MAE official (#221)
* [Feature]: MAE single image pre-training
* [Fix]: Fix config
* [Fix]: Fix dataset link
* [Feature]: Add run
* [Refactor]: Delete spot
* [Feature]: ignore nohup output file
* [Feature]: Add auto script to generate run cmd
* [Refactor]: Refactor mae config file
* [Feature]: sz20 settings
* [Feature]: Add auto resume
* [Fix]: Fix lint
* [Feature]: Make git ignore txt
* [Refactor]: Delete gpus in script
* [Fix]: Make generate_cmd to add --async
* [Feature]: Initial version of Vit fine-tune
* [Fix]: Add 1424 specific settings
* [Fix]: Fix missing file client bug for 1424
* [Feature]: 1424 customized settings
* [Fix]: Make drop in eval to False
* [Feature]: Change the finetune and pre-training settings
* [Feature]: Add debug setting
* [Refactor]: Refactor the model
* [Feature]: Customized settings
* [Feature]: Add A100 settings
* [Fix]: Change mae to imagenet
* [Feature]: Change mae pretrain num workers to 32
* [Feature]: Change num workers to 16
* [Feature]: Add A100 setting for pre_release ft version
* [Feature]: Add img_norm_cfg
* [Fix]: Fix mae cls test missing logits bug
* [Fix]: Fix mae cls head bias initialize to zero
* [Feature]: Rename mae config name
* [Feature]: Add MAE README.md
* [Fix]: Fix lint
* [Feature]: Fix typo
* [Fix]: Fix typo
* [Feature]: Fix invalid link
* [Fix]: Fix finetune config file name
* [Feature]: Official pretrain v1
* [Feature]: Change log interval to 100
* [Feature]: pretrain 1600 epochs
* [Fix]: Change encoder num head to 12
* [Feature]: Mix precision
* [Feature]: Add default value to random masking
* [Feature]: Official MAE finetune
* [Feature]: Finetune img per gpu 32
* [Feature]: Add multi machine training for lincls
* [Fix]: Fix lincls master port master addr
* [Feature]: Change img per gpu to 128
* [Feature]: Add linear eval and Refactor
* [Fix]: Fix debug mode
* [Fix]: Delete MAE dataset in __init__.py
* [Feature]: normalize pixel for mae
* [Fix]: Fix lint
* [Feature]: LARS for linear eval
* [Feature]: Add lars for mae linear eval
* [Feature]: Change mae linear lars num workers to 32
* [Feature]: Change mae linear lars num workers to 8
* [Feature]: log every 25 iter for mae linear eval lars
* [Feature]: Add 1600 epoch and 800 epoch pretraining
* [Fix]: Change linear eval to 902
* [Fix]: Add random flip to linear eval
* [Fix]: delete fp16 in mae
* [Refactor]: Change backbone to mmcls
* [Fix]: Align finetune settings
* [Fix]: replace timm trunc_normal with mmcv trunc_normal
* [Fix]: Change finetune layer_decay to 0.65
* [Fix]: Delete pretrain last norm when global_pooling
* [Fix]: set requires_grad of norm1 to False
* [Fix]: delete norm1
* [Fix]: Fix docstring bug
* [Fix]: Fix lint
* [Fix]: Add external link
* [Fix]: Delete auto_resume and reformat config readme.
* [Fix]: Fix pytest bug
* [Fix]: Fix lint
* [Refactor]: Rename filename
* [Feature]: Add docstring
* [Fix]: Rename config file name
* [Fix]: Fix name inconsistency bug
* [Fix]: Change the default value of persistent_worker in builder to True
* [Fix]: Change the default value of CPUS_PER_TASK to 5
* [Fix]: Add a blank line to line136 in tools/train.py
* [Fix]: Fix MAE algorithm docstring format and add paper name and url
* [Feature]: Add MAE paper name and link, and store mae teaser on github
* [Refactor]: Delete mae.png
* [Fix]: Fix config file name”
* [Fix]: Fix name bug
* [Refactor]: Change default GPUS to 8
* [Fix]: Abandon change to drop_last
* [Fix]: Fix docstring in mae algorithm
* [Fix]: Fix lint
* [Fix]: Fix lint
* [Fix]: Fix mae finetune algo type bug
* [Feature]: Add unit test for algorithm
* [Feature]: Add unit test for remaining parts
* [Fix]: Fix lint
* [Fix]: Fix typo
* [Fix]: Delete some unnecessary modification in gitignore
* [Feature]: Change finetune setting in mae algo to mixup setting
* [Fix]: Change norm_pix_loss to norm_pix in pretrain head
* [Fix]: Delete modification in dist_train_linear.sh
* [Refactor]: Delete global pool in mae_cls_vit.py
* [Fix]: Change finetune param to mixup in test_mae_classification
* [Fix]: Change norm_pix_loss to norm_pix of mae_pretrain_head in unit test
* [Fix]: Change norm_pix_loss to norm_pix in unit test
* [Refactor]: Create init_weights for mae_finetune_head and mae_linprobe_head
* [Refactor]: Construct 2d sin-cosine position embedding using torch
* [Refactor]: Using classification and using mixup from mmcls
* [Fix]: Fix lint
* [Fix]: Add False to finetune mae linprobe‘
“
* [Fix]: Set drop_last to False
* [Fix]: Fix MAE finetune layerwise lr bug
* [Refactor]: Delete redundant MAE when registering MAE
* [Refactor]: Split initialize_weights in MAE to submodules
* [Fix]: Change the min_lr of mae pretrain to 0.0
* [Refactor]: Delete unused _init_weights in mae_cls_vit
* [Refactor]: Change MAE cls vit to a more general name
* [Feature]: Add Epoch Fix cosine annealing lr updater
* [Fix]: Fix lint
* [Feature]: Add layer wise lr decay in optimizer constructor
* [Fix]: Fix lint
* [Fix]: Fix set layer wise lr decay bug
* [Fix]: Fix UT for MAE
* [Fix]: Fix lint
* [Fix]: update algorithm readme format for MAE
* [Fix]: Fix isort
* [Fix]: Add Returns inmae_pretrain_vit
* [Fix]: Change bgr to rgb
* [Fix]: Change norm pix to True
* [Fix]: Use cls_token to linear prob
* [Fix]: Delete mixup.py
* [Fix]: Fix MAE readme
* [Feature]: Delete linprobe
* [Refactor]: Merge MAE head into one file
* [Fix]: Fix lint
* [Fix]: rename mae_pretrain_head to mae_head
* [Fix]: Fix import error in __init__.py
* [Feature]: skip MAE algo UT when running on windows
* [Fix]: Fix UT bug
* [Feature]: Update model_zoo
* [Fix]: Rename MAE pretrain model name
* [Fix]: Delete mae ft prefix
* [Feature]: Change b to base
* [Refactor]: Change b in MAE pt config to base
* [Fix]: Fix typo in docstring
* [Fix]: Fix name bug
* [Feature]: Add new constructor for MAE finetune
* [Fix]: Fix model_zoo link
* [Fix]: Skip UT for MAE
* [Fix]: Change fixed channel order to param
Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn>
Co-authored-by: liu yuan <liuyuan@pjlab.org.cn>
* [Feature]: Add diff seeds to diff ranks and set torch seed in worker_init_fn (#228)
* [Feature]: Add set diff seeds to diff ranks
* [Fix]: Set diff seed to diff workers
* Bump version to v0.7.0 (#227)
* Bump version to v0.7.0
* [Docs] update readme
Co-authored-by: wang11wang <95845452+wang11wang@users.noreply.github.com>
Co-authored-by: Liangyu Chen <45140242+c-liangyu@users.noreply.github.com>
Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com>
Co-authored-by: liming <liming.ai@bytedance.com>
Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn>
Co-authored-by: liu yuan <liuyuan@pjlab.org.cn>
* Fix isort config
* Trigger commit hook
* Trigger commit hook
* Upgrade isort in ci and remove seed-isort-config
* Update test requirement
* Add unit test for build_dataset
* Fix test data
* Fix typo
* Use deepclustering dataset as test dataset config
Yixiao Fang
Uno Wu
Jiahao000