yolov5/data
Ayush Chaurasia f9869f7ffd
YOLOv5 segmentation model support (#9052)
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* Fix duplicate plots.py

* Fix check_font()

* # torch.use_deterministic_algorithms(True)

* update doc detect->predict

* Resolve precommit for segment/train and segment/val

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* Resolve precommit for utils/segment

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* Resolve precommit min_wh

* Resolve precommit utils/segment/plots

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* Resolve precommit utils/segment/general

* Align NMS-seg closer to NMS

* restore deterministic init_seeds code

* remove easydict dependency

* update

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* restore output_to_target mask

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* update

* cleanup

* Remove unused ImageFont import

* Unified NMS

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* DetectMultiBackend compatibility

* segment/predict.py update

* update plot colors

* fix bbox shifted

* sort bbox by confidence

* enable overlap by default

* Merge detect/segment output_to_target() function

* Start segmentation CI

* fix plots

* Update ci-testing.yml

* fix training whitespace

* optimize process mask functions (can we merge both?)

* Update predict/detect

* Update plot_images

* Update plot_images_and_masks

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* fix

* Add train to CI

* fix precommit

* fix precommit CI

* fix precommit pycocotools

* fix val float issues

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* fix masks float float issues

* suppress errors

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* fix no-predictions plotting bug

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* Add CSV Logger

* fix val len(plot_masks)

* speed up evaluation

* fix process_mask

* fix plots

* update segment/utils build_targets

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* optimize utils/segment/general crop()

* optimize utils/segment/general crop() 2

* minor updates

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* torch.where revert

* downsample only if different shape

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* loss cleanup

* loss cleanup 2

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* loss cleanup 3

* update project names

* Rename -seg yamls from _underscore to -dash

* prepare for yolov5n-seg.pt

* precommit space fix

* add coco128-seg.yaml

* update coco128-seg comments

* cleanup val.py

* Major val.py cleanup

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* precommit fix

* precommit fix

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* optional pycocotools

* remove CI pip install pycocotools (auto-installed now)

* seg yaml fix

* optimize mask_iou() and masks_iou()

* threaded fix

* Major train.py update

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* Major segments/val/process_batch() update

* yolov5/val updates from segment

* process_batch numpy/tensor fix

* opt-in to pycocotools with --save-json

* threaded pycocotools ops for 2x speed increase

* Avoid permute contiguous if possible

* Add max_det=300 argument to both val.py and segment/val.py

* fix onnx_dynamic

* speed up pycocotools ops

* faster process_mask(upsample=True) for predict

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* eliminate permutations for process_mask(upsample=True)

* eliminate permute-contiguous in crop(), use native dimension order

* cleanup comment

* Add Proto() module

* fix class count

* fix anchor order

* broadcast mask_gti in loss for speed

* Cleanup seg loss

* faster indexing

* faster indexing fix

* faster indexing fix2

* revert faster indexing

* fix validation plotting

* Loss cleanup and mxyxy simplification

* Loss cleanup and mxyxy simplification 2

* revert validation plotting

* replace missing tanh

* Eliminate last permutation

* delete unneeded .float()

* Remove MaskIOULoss and crop(if HWC)

* Final v6.3 SegmentationModel architecture updates

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* Add support for TF export

* remove debugger trace

* add call

* update

* update

* Merge master

* Merge master

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* Update dataloaders.py

* Restore CI

* Update dataloaders.py

* Fix TF/TFLite export for segmentation model

* Merge master

* Cleanup predict.py mask plotting

* cleanup scale_masks()

* rename scale_masks to scale_image

* cleanup/optimize plot_masks

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* Add Annotator.masks()

* Annotator.masks() fix

* Update plots.py

* Annotator mask optimization

* Rename crop() to crop_mask()

* Do not crop in predict.py

* crop always

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* Merge master

* Add vid-stride from master PR

* Update seg model outputs

* Update seg model outputs

* Add segmentation benchmarks

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* Add segmentation benchmarks

* Add segmentation benchmarks

* Add segmentation benchmarks

* Fix DetectMultiBackend for OpenVINO

* update Annotator.masks

* fix val plot

* revert val plot

* clean up

* revert pil

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* Fix CI error

* fix predict log

* remove upsample

* update interpolate

* fix validation plot logging

* Annotator.masks() cleanup

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* Remove segmentation_model definition

* Restore 0.99999 decimals

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: Jiacong Fang <zldrobit@126.com>
2022-09-16 00:12:46 +02:00
..
hyps Update hyp.VOC.yaml (#6772) 2022-02-25 00:14:17 +01:00
images Increment train, test, detect runs/ (#1322) 2020-11-08 19:39:05 +01:00
scripts New YOLOv5 Classification Models (#8956) 2022-08-17 11:59:01 +02:00
Argoverse.yaml Update dataset `names` from array to dictionary (#9000) 2022-08-17 17:52:53 +02:00
GlobalWheat2020.yaml Update dataset `names` from array to dictionary (#9000) 2022-08-17 17:52:53 +02:00
ImageNet.yaml Update dataset `names` from array to dictionary (#9000) 2022-08-17 17:52:53 +02:00
Objects365.yaml Update dataset `names` from array to dictionary (#9000) 2022-08-17 17:52:53 +02:00
SKU-110K.yaml Update dataset `names` from array to dictionary (#9000) 2022-08-17 17:52:53 +02:00
VOC.yaml VOC `names` dictionary fix (#9034) 2022-08-19 15:07:04 +02:00
VisDrone.yaml Update dataset `names` from array to dictionary (#9000) 2022-08-17 17:52:53 +02:00
coco.yaml Update dataset `names` from array to dictionary (#9000) 2022-08-17 17:52:53 +02:00
coco128-seg.yaml YOLOv5 segmentation model support (#9052) 2022-09-16 00:12:46 +02:00
coco128.yaml Update dataset `names` from array to dictionary (#9000) 2022-08-17 17:52:53 +02:00
xView.yaml Update dataset `names` from array to dictionary (#9000) 2022-08-17 17:52:53 +02:00