Mabn #5
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* fix dcn when input size smaller than kernel size * update
On branch load_multichannel Changes to be committed: modified: mmdet/datasets/pipelines/loading.py
* fix bug of mse_loss * reformat * use single quote Co-authored-by: penghaozhou <[email protected]> Co-authored-by: wwzhang <[email protected]>
* Add class to wrap result fields into lists for evaluation On branch wrap_into_lists Changes to be committed: modified: mmdet/datasets/pipelines/formating.py * Add doctsring to WrapFieldsToLists On branch wrap_into_lists Changes to be committed: modified: mmdet/datasets/pipelines/formating.py * update the example in docstring of WrapFieldsToLists Co-authored-by: Kai Chen <[email protected]>
* Fix bug: index out of range when num_extra < len(indice) * Unified img_metas api * minor fix * fix typo * update images for async test Co-authored-by: Yuhang Cao <[email protected]>
* fix (scale_factor): use new_tensor(scale_factor) in case it is numpy array * reformat (models): reformat with flake8, yapf, and isort to pass CI * fix (bbox_mapping): fix scale_factor bug in bbox_mapping * fix img_meta bug Co-authored-by: beansi <[email protected]>
* add new config sample and check scripts * context managere to prevent import * refactor backbone, add caffe * add fast rcnn * all basci config done * rm coco_proposal * add scratch, wider_face, voc * add reppoints * delete device id, auto resume * add libra_rcnn, ms_rcnn, nas_fpn * add hrnet, fcos * add free_anchor, gn, grid_rcnn, guided_anchoring, gcnet, ghm, gn+ws * finished all, but some need refactor and unified logic * fixed albu * update ReseNet101 * reduce ResNet101, add norm_cfg, 4conv1fc * refactor caffe backbone * merge act_cfg, dcn from master * rename 2fc head, add 4conv1fc head * delete 4con1fc model * rename components -> _base_ * flatten _base_ * refactor _base_ structure * refactor config structure * reduce _base/models * rename all config * add _coco inside configs * fixed _coco in files * fixed albu in test * migrate to new sys * fixed test * fixed test * rm cascade, fast_rcnn * rm cascade, fast_rcnn from _base_ * fixed fcos_center * rename from rule * collopse third party model * fixed test * fixed some minor bug * rename gn-neck_head -> gn-neck+head
* delete work_dir in all configs * add comment on work_dir priority
* add norm_eval * upgrade mmcv
* add unit tests for image loading * add test data * add a test case
* refactor resnet, add deep_stem and avg_down opt * move args into kwargs * add default * mv resnetv1d to resnet * fixed res_layer * add base_channels * add doc * add tests * update test * fixed backbone block conv_cfg/norm_cfg * add test * add tests
* add condition on RoIPool backward * format * delete space * reformat * add newline end of file
* Fix (flip): not setting default values of flip during loading * Fix (loading): correct the format of default img_norm_cfg
* create roi_head * create roi_head mv shared_head into roi_head * fix conflict * refactor(cascade rcnn): create cascade head in roi head, simplify cascade rcnn * type: fix scope: cascade_head subject: mv stage_loss_weight from train_cfg to roi_head creation * type: fix scope: roi_heads subject: handle the case when train_cfg is None * type: fix scope: roi_heads mask inference subject: fix test_cfg.rcnn bug to test_cfg * fix mask eval bug * refactor(double_head): refactor double head roi head * fix(double_head): clean code and fix __init__.py * refactor(mask scoring): create mask scoring roi head * refactor(htc_head): add htc_head * fix(htc_head): add htc_head in __init__.py * fix (htc_head): fix htc_head bugs * fix (ms_roi_head): rm test_cfg.rcnn to test_cfg * feature (grid rcnn): grid roi head * fix (grid_head): fix grid head bug * reformat and change all cfgs * reformat (roi_head): reformat __init__.py for isort=4.3.21 * fix roi_head test bug * fix (carafe): change carafe cfgs to use roi_head * fix (roi_head): fix missing roi_head refactor * reformat to pass CI * test all cfgs * match keys of configs with previous commit 77d073a * add and pass unittest for all roi heads * Refactor (roi_head): extract abstract base class for roi head * Refactor (roi_head): refactor init functions * Refactor (roi_head): weight init * Refactor (roi_head): add _bbox_forwrd & _mask_forward as basic functions * Fix (grid_roi_head): fix bug in bbox_forward_train * Refactor (roi_head): change to use img.device in forward_dummy) * Refactor (roi_heads): simplify init functions and _mask_forward * Fix (cascade_roi_head): fix init bug of cascade roi_head * Refactor (roi_head): use dict as outputs of _bbox_forward and _mask_forward * Refactor (test_config): scan valid configs rather than list them all
* refactor gcnet/emperical into plugin * add missing plugin * add docs, make plugins stage more flexible * refactor plugins into list[dict] * add duplicate test, update docs * update docs * update docs * update comment * update testbackbone doc
…… (#2364) * Modify the code casting digit string as int to convert to float and then to int * Add Comment: Coordinates may be float type * Fix: Indentation Error
* Refactor (iou_assigner): set low quality match as an option * Fix (max_iou_assigner): fix typo and add clear detail * Fix (cascade_rcnn): set match_low_quality in cascade rcnn
* Feature (smooth-l1): support to use L1 loss * Refactor (L1-loss): Create a independent class for L1-loss * Refactor (l1-loss): add l1 loss in __init__ * Refactor (L1-loss): rm kwargs
* add merge conv bn * fix wrong push * support save merged model * rename merge to fuse, add annotations * fix typos
* refactor mask structure * update and add comment * update test_config, add crop_and_resize * update to comment * add unittest * Update .travis.yml * add iter test * check mask type in albu Co-authored-by: Kai Chen <[email protected]>
* update project link * Update projects
…e batch images (#2992)
Edit typographical errors.
* add fl num class check * format * remove space * add space
* Modify mdconv doc * add todo * undo
* update project link * Update projects * Add reimplementation template * reformat * reformat * Fix typos * resolve comments
* save for debug * add foreground dominate * debug modify * debug for mmdet * small change * small change * bug fix * bug fix
* Fixed nan loss by filtering out-of-frame gt_bboxes * Discarded lambda expression of is_out_of_frame * Cleaned trailing whitespace * Reformatted code * Checked the intersection between boxes and image
* add Hourglass and unittest * code formatting * fix bug * rename and add docstring * add unittest for ResLayer(reverse=True) * update Hourglass * update Hourglass, update unittest * update docstrings, rename variables * update hourglass and unittest * update hourglass.py and res_layer.py
* use BaseDenseHead * use RPNTestMixin in rpn heads * use self(x) instead of self.__call__(x) * use kwargs
`target_means` and `target_stds` should be in bbox_coder according to https://github.com/open-mmlab/mmdetection/blob/2b6f6616f804beaca3dbf071fa398c586243db13/configs/_base_/models/mask_rcnn_r50_fpn.py#L48
* add ae loss and gaussian focal loss * update losses/__init__.py * formatting * Update __init__.py * update losses * add weighted_loss in gaussian_focal_loss * rename AELoss, move comment to docstring * fix formatting
* 123 * implement FCOS with tricks (FCOS_plus) Train FCOS with four tricks (including center_sampling) arrording to official repo (https://github.com/tianzhi0549/FCOS). without DCN: mAP=38.6 (0.1 lower than official repo) with DCN : mAP=42.5 (0.2 higher than official repo) * fix * fix * reformatted * fix configs & reformat * add docstring * Update fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_dcn_4x4_1x_coco.py * add noqa: E501 since the url is too long * fix flake * fix flake * fix yapf * fix * rewrite forward & reformat * reformat & add docstring * reformat * reformat * update docstring * TODO: add unit test Should be finished tomorrow * add unit test * fix * fix docstring * reformat * add docstring * reformat * Update fcos_head.py * Update fcos_head.py * Update fcos_head.py * Update fcos_head.py * Update fcos_head.py * Update test_heads.py * Update fcos_head.py * Update README.md
* 123 * implement FCOS with tricks (FCOS_plus) Train FCOS with four tricks (including center_sampling) arrording to official repo (https://github.com/tianzhi0549/FCOS). without DCN: mAP=38.6 (0.1 lower than official repo) with DCN : mAP=42.5 (0.2 higher than official repo) * fix * fix * reformatted * fix configs & reformat * add docstring * Update fcos_center-normbbox-centeronreg-giou_r50_caffe_fpn_gn-head_dcn_4x4_1x_coco.py * add noqa: E501 since the url is too long * fix flake * fix flake * fix yapf * fix * rewrite forward & reformat * reformat & add docstring * reformat * reformat * update docstring * TODO: add unit test Should be finished tomorrow * add unit test * fix * fix docstring * reformat * add docstring * reformat * Update fcos_head.py * Update fcos_head.py * Update fcos_head.py * Update fcos_head.py * Update fcos_head.py * Update test_heads.py * Update fcos_head.py * Update README.md * Update README.md
* add mmfashion dataset * Update __init__.py * Update mmfashion.py * rename mmfashion to DeepFashion * refactor deepfashion config file * remove whitespace * refactor deep fashion config file * refactor deepfashion config file * add a new line * add a blank line * upload log * omit default setting in config * rename deepfashion config Co-authored-by: Jiaqi Wang <[email protected]>
* switch to EpochBasedRunner * add docstrings * update the minimum version of mmcv to 0.6.0 * fix unit tests * fix mmcv version in travis
* Use len(data['img_metas']) to indicate num_samples * clean code
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Not sure if I merged the history correctly.
A clean version of changes might be inspected in comparison with upstream:
https://github.com/tyomj/mmdetection/compare/master...tyomj:MABN