Support TTA of ATSS, FCOS, YOLOv3 #3844

shinya7y · 2020-09-26T20:32:29Z

This PR enables dense_test_mixins.py to process score_factors for NMS.

0.394 0.576 0.428 0.236 0.429 0.503  # img_scale=(1333, 800),
0.391 0.575 0.424 0.258 0.426 0.471  # img_scale=(1600, 960),
0.404 0.583 0.440 0.260 0.438 0.499  # img_scale=[(1333, 800), (1600, 960)],
0.398 0.580 0.433 0.247 0.435 0.510  # img_scale=(1333, 800), flip=True,

FCOS (model)

0.386 0.572 0.417 0.224 0.424 0.502  # img_scale=(1333, 800),
0.389 0.578 0.420 0.249 0.427 0.479  # img_scale=(1600, 960),
0.399 0.585 0.434 0.250 0.438 0.500  # img_scale=[(1333, 800), (1600, 960)],
0.393 0.579 0.427 0.232 0.432 0.506  # img_scale=(1333, 800), flip=True,

YOLOv3 (model)

0.335 0.563 0.352 0.196 0.364 0.436  # img_scale=(608, 608),
0.333 0.568 0.342 0.218 0.370 0.407  # img_scale=(736, 736),
0.350 0.584 0.369 0.220 0.384 0.440  # img_scale=[(608, 608), (736, 736)],
0.343 0.576 0.358 0.204 0.377 0.442  # img_scale=(608, 608), flip=True,

codecov · 2020-09-26T20:57:44Z

Codecov Report

Merging #3844 into master will decrease coverage by 0.01%.
The diff coverage is 36.84%.

@@            Coverage Diff             @@
##           master    #3844      +/-   ##
==========================================
- Coverage   62.48%   62.46%   -0.02%     
==========================================
  Files         219      219              
  Lines       16256    16269      +13     
  Branches     2753     2759       +6     
==========================================
+ Hits        10157    10162       +5     
- Misses       5603     5610       +7     
- Partials      496      497       +1

Flag	Coverage Δ
#unittests	`62.46% <36.84%> (-0.02%)`	⬇️

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Impacted Files	Coverage Δ
mmdet/models/dense_heads/anchor_free_head.py	`75.59% <ø> (-0.38%)`	⬇️
mmdet/models/dense_heads/atss_head.py	`28.20% <0.00%> (-0.25%)`	⬇️
mmdet/models/dense_heads/dense_test_mixins.py	`13.63% <0.00%> (-1.37%)`	⬇️
mmdet/models/dense_heads/fovea_head.py	`30.12% <0.00%> (ø)`
mmdet/models/dense_heads/fsaf_head.py	`15.68% <0.00%> (+0.10%)`	⬆️
mmdet/models/dense_heads/gfl_head.py	`27.39% <0.00%> (ø)`
mmdet/models/dense_heads/guided_anchor_head.py	`24.78% <ø> (-0.43%)`	⬇️
mmdet/models/dense_heads/reppoints_head.py	`22.16% <0.00%> (ø)`
mmdet/models/dense_heads/sabl_retina_head.py	`30.41% <0.00%> (-0.29%)`	⬇️
mmdet/models/roi_heads/bbox_heads/sabl_head.py	`77.61% <16.66%> (-1.40%)`	⬇️
... and 12 more

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mmdet/models/dense_heads/yolo_head.py

xvjiarui · 2020-09-29T15:14:49Z

mmdet/models/dense_heads/dense_test_mixins.py

+            if len(bbox_outputs) >= 3:
+                aug_factors.append(bbox_outputs[2])


We may add some comments about it, e.g. which detector on what condition will return this factor, like FCOS.

I have added a comment.

xvjiarui · 2020-09-29T15:22:07Z

Hi @shinya7y
Thanks for your valuable contribution. The code looks good to me in general, except for the comment.
I am approving this right now. And you may kindly adjust according to the comment.

* 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>

* 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 Co-authored-by: v-qjqs <qjliqiaofei@gmail.com> Co-authored-by: Qiaofei Li <34116221+v-qjqs@users.noreply.github.com> Co-authored-by: Cao Yuhang <yhcao6@gmail.com> Co-authored-by: yuzhj <31239926+yuzhj@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>

* 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>

* tag 'v2.5.0': (102 commits) Bump to v2.5.0 (open-mmlab#3879) [Fix]: fix mask rcnn training stuck problem when there is no positive rois (open-mmlab#3713) Add missing notes in data customization (open-mmlab#3906) support to use pytorch 1.6 in docker (open-mmlab#3905) [enhance]: Improve documentation of modules and dataset customization (open-mmlab#3821) fix cv2 import error of ligGL.so.1 (open-mmlab#3891) fix the API change bug of PAA (open-mmlab#3883) Fix typo in bbox_flip (open-mmlab#3886) [Enhance]: Convert mask to bool before using it as img's index for robustness and speedup (open-mmlab#3870) [Docs] Remove duplicate content in docs/config.md (open-mmlab#3875) [Docs] Fix typo in docs/tutorials/new_dataset.md (open-mmlab#3876) Support TTA of ATSS, FCOS, YOLOv3 (open-mmlab#3844) Fix nonzero in NMS for PyTorch 1.6.0 (open-mmlab#3867) [Refactor] refactor get_subset_by_classes in dataloader for training with empty-GT images (open-mmlab#3695) fix rpn transforming bug in two stage networks (open-mmlab#3754) Clean background_labels in the dense heads (open-mmlab#3221) improve the function of simple_test_bboxes (open-mmlab#3853) Add doc of modify loss (open-mmlab#3777) fix sabl validating bug (open-mmlab#3849) YOLACT (open-mmlab#3456) ...

Support TTA of ATSS, FCOS, YOLOv3

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hellock requested review from xvjiarui and RyanXLi September 27, 2020 05:04

RyanXLi reviewed Sep 29, 2020

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hellock merged commit 5b18b94 into open-mmlab:master Oct 1, 2020

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Support TTA of ATSS, FCOS, YOLOv3 #3844

Support TTA of ATSS, FCOS, YOLOv3 #3844

shinya7y commented Sep 26, 2020

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xvjiarui commented Sep 29, 2020

		if len(bbox_outputs) >= 3:
		aug_factors.append(bbox_outputs[2])

Support TTA of ATSS, FCOS, YOLOv3 #3844

Support TTA of ATSS, FCOS, YOLOv3 #3844

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