* add bce loss for multilabel task
* minor change
* apply class wise sum
* fix docstring
* do not apply sum over classes and fix docstring
* fix docstring
* fix weight shape
* fix weight shape
* fix docstring
* fix linting issue
Co-authored-by: Y. Xiong <xiongyuxy@gmail.com>
* add focal loss
* apply class wise sum
* fix doctring
* do not apply sum over classes and fix docstring
* fix docstring
* fix weight shape
* fix weight shape
* add mean_ap
* add difficult_examples in mAP to support dataset without difficult_examples
* fix docstring
* add CP,CR,CF1,OP,OR,OF1 as multilabel metrics
* fix docstring
* temporary solution to ci until new version of mmcv is avaliable (#127)
* temporary solution to ci until new version of mmcv is avaliable
* temporary solution to ci until new version of mmcv is avaliable
* add mean_ap
* add difficult_examples in mAP to support dataset without difficult_examples
* fix docstring
* add CP,CR,CF1,OP,OR,OF1 as multilabel metrics
* fix docstring
* Swap -1 and 0 for labels
* Revised according to comments
* Revised according to comments
* Revised according to comments
* Revert "Revised according to comments"
It is suggested that we should not include paper from arxiv.
This reverts commit 48a781cd6a.
* Revert "Revert "Revised according to comments""
This reverts commit 6d3b0f1a7b.
* Revert "Revised according to comments"
It is suggested we should not cite paper from arxiv.
This reverts commit 120ecda884.
* Revised according to comments
* revised according to comments
* Revised according to comments
* add macro-averaged precision,recall,f1 options in evaluation
* remove unnecessary comments
* Revise according to comments
* Revise according to comments
* Delete the mmcv requirement to support mmcv-full installed environment
* install mmcv in CI
* fix mmcv version error
Co-authored-by: Xinran <lixinran@sensetime.com>
* 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
* workflow: modify build, add deploy
* fix type: mmseg -> mmcls
* simplify build by delete cuda related settings
* re-sort requirements by pre-commit hook
* build: support more pytorch versions
* build: fix torchvision version bug
* del useless test imports
* merge upstream
* build: del docstring checking to pass coverage check
* 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
LXXXXR
congee
Ülkü Tuncer Küçüktaş
WRH
Wenwei Zhang
Lei Yang
David de la Iglesia Castro
Y. Xiong
Mansi Mane
Jerry Jiarui XU