* impl queryinst
* bug free queryinst with crop and negative samples
* use detr hyperparameters
* pre-commit hooks
* modified dynamic_mask_head docstrings
* remove unused dropout in dynamic_mask_head
* add docstring for dice_loss
* add dice_loss unit test
* impl unit test for dynamic_mask_head
* update queryinst docstring and implementation
* stability update for dice_loss and dynamic_mask_head
* update for clarify
* bug free in case of num_proposals equal to zero
* detail docstrings
* fixed CI issues
* issues resolved
* add queryinst docs
* support exporting `DETR` to ONNX with dynamic shapes and competitive performance
* support exporting `DETR` to ONNX with dynamic shapes and competitive performance
* add onnx performance docs for `DETR`
* fix lint error
* fix
* refactor the onnx export for detr
* fix doc
* supports batch inference for detr
* inherit config for batch inference
* fix type
* support batch inference for ONNX
* fix dynamically clip bboxes
* remove batch inference config
* draft version train and test
* remove get_bbox in sparse_head
* refactor SparseRCNN model, align inference eval mAP with official repo
* add focal_loss in hungarian_assigner.py
* update hungarian_assigner.py
* update detr config
* update doc and codes
* fix unitest
* fix unitest
* add embedding_rpn and traing code
* modify code format
* fix proposalist in simpletest
* add focal loss traing
* fix acc
* fix reduce mean
* add embedding rpn doc and add show initproposals
* add docstr
* fix backbone lr
* fix typo and change detach_proposal_list to proposal_list
* remove debug assert
* add readme
* add config for random crop when use 300 proposals
* add aug for 300 proposals
* add 300 proposals results and fix docstr
* add 1x results
* fix lint
* fix unitest
* fix docstr of embeddingrpn
* fix according to the comments
* fix get_bbox and a bug of dynamic conv
* support cpu focal loss and fix docstr
* fix docstr
* fix unitest
* fix bug of init_weight
* fix to device in assign
* fix all commemt
* fix test_config
* remove dim 1 in forward
* fix shape in comment
* fix the case that train_cfg is None
* fix shape of docstr
* fix docstr
* fix typo
* simplify test
* fix docstr
* move train_cfg and test_cfg to model as
* fix unitest
* add link of ckpt and log
* fix 1x results
Co-authored-by: tianyuandu <tianyuandu@gmail.com>
Co-authored-by: fangkairen <fangkairen@sensetime.com>
* supports for DETR transformer
* unit test with small data to avoid out of memory in CI
* use batch size 1 for unit test to avoid out of memory
* move transformer into utils folder and use more small data for unit test
* reformat docstring
* add more detailed docstring
* reforamt
* reformat and add build_transformer (#3866)
* Supports for DETR position embedding (#3850)
* supports for DETR position embedding
* reformat docstring
* reformat
* move transformer_head folder into utils
* remove unnecessary comments
* reformat
* reformat
* reformat docstring
* reformat
* add optional for default parameters
* add comments for unit test
* avoid inplace in MultiheadAttention and add optional add_residual for FFN
* Supports for DETR inference (#3941)
* fix forward in FFN
* supports detr inference mode with batchsize 1
* add docstring for DETR in detr.py
* reformat and add doctest for TransformerHead
* reformat, and move the mask construction from simple_test in detr.py to the forward process of transformer_head
* rename detr_r50_1x_coco as detr_r50_8x4_1x_coco in config
* reformat
* mask input_img_shape in img_meta as a general modification of base_detector forward_test
* reformat
* Supports for DETR hungarian matcher. (#3929)
* Add doc of modify loss (#3777)
* add doc of modify loss
* minor fix
* change name
* improve the function of simple_test_bboxes (#3853)
* update
* fix lint error
* add bbox_pred_split in sabl_head
* fix lint error
* fix yapf
* fix build error
* fix yapf
* Clean background_labels in the dense heads (#3221)
* Clean background_labels in the dense heads
* clean format
* Reformat
* Fix CI bug
* fix fsaf and the comments
* fix newly added heads
* fix yolact
* complete comments
* fix rpn transforming bug in two stage networks (#3754)
* fix rpn transforming bug in two_stage
* [Refactor] refactor get_subset_by_classes in dataloader for training with empty-GT images (#3695)
* Add regression test and test data
* Add fix for empty gt images
* Trigger CI build
* refactor get_subset_by_classes
* reformat and fix docstring
* [refactor]: move get_subset_by_classes to _filter_imgs
* make img_ids consistent
* resolve comments
* simplify logics
* add warning
* add warning
* add warning
Co-authored-by: mmeendez8 <miguelmndez@gmail.com>
* Fix nonzero in NMS for PyTorch 1.6.0 (#3867)
* Support TTA of ATSS, FCOS, YOLOv3 (#3844)
* Support TTA of ATSS, FCOS, YOLOv3
* Add comment
* [Docs] Fix typo in docs/tutorials/new_dataset.md (#3876)
* [Docs] Remove duplicate content in docs/config.md (#3875)
* [Enhance]: Convert mask to bool before using it as img's index for robustness and speedup (#3870)
* Convert mask to bool before using it as img's index
* lint
* Rewrite code in more concise way
* Fix typo in bbox_flip (#3886)
* fix the API change bug of PAA (#3883)
* fix cv2 import error of ligGL.so.1 (#3891)
* [enhance]: Improve documentation of modules and dataset customization (#3821)
* update tutorials for changing training settings
* update
* Update details of hook
* resolve comments
* reformat
* Update module documentations
* add notes for classes specification
* support to use pytorch 1.6 in docker (#3905)
* support to use pytorch 1.6 in docker
* update mmcv requirement
* update docs
* Add missing notes in data customization (#3906)
* [Fix]: fix mask rcnn training stuck problem when there is no positive rois (#3713)
* Fix mask rcnn stuck problem when there is no positive rois
* support non pos inference in cascade methods, link CU-49tawu
* print mmcv version in CI
* use mmcv repo to check wrappers
* change cpu build
* upgrade mmcv requirements and change ci back
* use pre-built whl in CI
* Bump to v2.5.0 (#3879)
* bump to v2.5.0
* update PR
* resolve comments
* clean unnecessary modification
* update bc breaking
* rephrase bc-breaking
* rephrase
* Added `generate_inputs_and_wrap_model` function for pytorch2onnx (#3857)
* added `generate_inputs_and_wrap_model` function for pytorch2onnx
* undo debugging changes
* added model.cpu().eval()
* refactored onnx
* fix verify
* move `generate_inputs_and_wrap_model` into mmdet.core.export
* use `generate_inputs_and_wrap_model` in tools/pytorch2onnx.py
* typo (#3917)
* Edit mmdet.core.export docstring (#3912)
* edit mmdet.core.export docstring
* update doctest
* fix small bugs
* supports for HungarianMatchAssigner, add bbox_cxcywh_to_xyxy and bbox_xyxy_to_cxcywh for bbox transform
* format box-wise related giou calculating as a function and implement it in iou2d_calculater.py
* supports for BboxGIoU2D and re-implements giou_loss using bbox_gious
* remove unnecessary
* reformat
* reformat docstring
* reformat
* rename
* supports for giou calculating in BboxOverlaps2D, and re-implements giou_loss using bbox_overlaps
* fix sabl validating bug in cascade_rcnn (#3913)
* reformat
* move giou related unit test from test_losses.py to test_iou2d_calculator.py
* reformat
* Avoid division by zero in PAA head when num_pos=0
* [Fix]: Avoid division by zero in PAA head when num_pos=0 (#3938)
* explicitly add mode in giou_loss
* Add supports for giou calculation in BboxOverlaps2D, and re-implements giou_loss using bbox_overlaps (#3936)
* supports for BboxGIoU2D and re-implements giou_loss using bbox_gious
* remove unnecessary
* reformat
* reformat docstring
* reformat
* rename
* supports for giou calculating in BboxOverlaps2D, and re-implements giou_loss using bbox_overlaps
* reformat
* move giou related unit test from test_losses.py to test_iou2d_calculator.py
* reformat
* Avoid division by zero in PAA head when num_pos=0
* explicitly add mode in giou_loss
* Add supports for giou calculation in BboxOverlaps2D, and add iou_calculator in hungarian_assigner
* rename hungarian_match_assigner as hungarian_assigner
* fix init
* reformat docstring
* Avoid division by zero in PAA head when num_pos=0
* fix cpu (#3948)
* add mode for iou_calculator and make giou cost as a default case
* make mode as a param in iou_calculator
* reformat docsting
* make iou_mode outside of iou_calculator
Co-authored-by: Cao Yuhang <yhcao6@gmail.com>
Co-authored-by: yuzhj <31239926+yuzhj@users.noreply.github.com>
Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>
Co-authored-by: mmeendez8 <miguelmndez@gmail.com>
Co-authored-by: Yosuke Shinya <42844407+shinya7y@users.noreply.github.com>
Co-authored-by: LabMemNo003 <LabMemNo003@gmail.com>
Co-authored-by: Ye Liu <yeliudev@outlook.com>
Co-authored-by: aboettcher <aboettcher@users.noreply.github.com>
Co-authored-by: Ryan Li <xlide@connect.ust.hk>
Co-authored-by: Jiangmiao Pang <pangjiangmiao@gmail.com>
* Re-implements RandomCrop to support different crop_type (#4093)
* re-implements RandomCrop to support different crop_type
* add assertion for relative related crop_type
* reformat, and add image shape assertion for unit test
* reformat
* Supports for DETR training mode in process. (#3963)
* add input_img_shape in img_meta, and supports training mode toy
* toy commit
* toy commit
* re-organize and support for detr training mode
* add unit test for detr training, testing, and transformer_head
* add more unit test for transformer
* reformat
* remove unnecessary
* use small transformer model for unit test
* reformat docstring
* reformat
* reformat
* Supports DETR e150 config (#4197)
* rename e300 config as e150 config
* reformat
* add comments on override option in Resize
* add comments on override option in Resize
* position embeddingto positional encoding
* fix unit tests
* fix registry name bug
* rename file
* remove unnecessary
Co-authored-by: ZwwWayne <wayne.zw@outlook.com>
Co-authored-by: Cao Yuhang <yhcao6@gmail.com>
Co-authored-by: yuzhj <31239926+yuzhj@users.noreply.github.com>
Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>
Co-authored-by: mmeendez8 <miguelmndez@gmail.com>
Co-authored-by: Yosuke Shinya <42844407+shinya7y@users.noreply.github.com>
Co-authored-by: LabMemNo003 <LabMemNo003@gmail.com>
Co-authored-by: Ye Liu <yeliudev@outlook.com>
Co-authored-by: aboettcher <aboettcher@users.noreply.github.com>
Co-authored-by: Ryan Li <xlide@connect.ust.hk>
Co-authored-by: Jiangmiao Pang <pangjiangmiao@gmail.com>
Shusheng Yang
Guangchen Lin
Zhe Chen
Jerry Jiarui XU
Shilong Zhang
BigDong
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