Commit Graph
80 Commits
Author SHA1 Message Date
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

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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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

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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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

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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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

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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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

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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2022-09-16 00:12:46 +02:00
Glenn Jocher 23d0456b08 torch.jit.trace() fix (#9363)
* Update common.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update ci-testing.yml

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-09-10 23:55:18 +03:00
Glenn Jocher e45d335bbc Update benchmarks CI with --hard-fail min metric floor (#9276)
* Update benchmarks CI with min metric floor

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update ci-testing.yml

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update benchmarks.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update benchmarks.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update benchmarks.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update benchmarks.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-09-04 16:35:16 +02:00
Glenn Jocher fc8758a49b Temporarily remove macos-latest from CI (#9049)
* Temporarily remove macos-latest from CI

macos-latest causing many failed CI runs that resolve after manually re-running 2 or 3 times. I don't know what the cause is. Will replace at a later date.

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update ci-testing.yml

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2022-08-20 16:45:11 +02:00
Glenn Jocher eb359c3a22 Add PyTorch Hub classification CI checks (#9027)
* Add PyTorch Hub classification CI checks

Add PyTorch Hub loading of official and custom trained classification models to CI checks. 

May help resolve https://github.com/ultralytics/yolov5/issues/8790#issuecomment-1219840718

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update hubconf.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-08-18 21:45:11 +02:00
d3ea0df8b9 New YOLOv5 Classification Models (#8956)
* Update

* Logger step fix: Increment step with epochs (#8654)

* enhance

* revert

* allow training from scratch

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Update --img argument from train.py 

single line

* fix image size from 640 to 128

* suport custom dataloader and augmentation

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* format

* Update dataloaders.py

* Single line return, single line comment, remove unused argument

* address PR comments

* fix spelling

* don't augment eval set

* use fstring

* update augmentations.py

* new maning convention for transforms

* reverse if statement, inline ops

* reverse if statement, inline ops

* updates

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* update dataloaders

* Remove additional if statement

* Remove is_train as redundant

* Cleanup

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* Cleanup2

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* Update classifier.py

* Update augmentations.py

* fix: imshow clip warning

* update

* Revert ToTensorV2 removal

* Update classifier.py

* Update normalize values, revert uint8

* normalize image using cv2

* remove dedundant comment

* Update classifier.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* replace print with logger

* commit steps

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* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Allow logging models from GenericLogger (#8676)

* enhance

* revert

* allow training from scratch

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Update --img argument from train.py 

single line

* fix image size from 640 to 128

* suport custom dataloader and augmentation

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* format

* Update dataloaders.py

* Single line return, single line comment, remove unused argument

* address PR comments

* fix spelling

* don't augment eval set

* use fstring

* update augmentations.py

* new maning convention for transforms

* reverse if statement, inline ops

* reverse if statement, inline ops

* updates

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* update dataloaders

* Remove additional if statement

* Remove is_train as redundant

* Cleanup

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Cleanup2

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Update classifier.py

* Update augmentations.py

* fix: imshow clip warning

* update

* Revert ToTensorV2 removal

* Update classifier.py

* Update normalize values, revert uint8

* normalize image using cv2

* remove dedundant comment

* Update classifier.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* replace print with logger

* commit steps

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* support final model logging

* update

* update

* update

* update

* remove curses

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Update classifier.py

* Update __init__.py

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* Update

* Update

* Update

* Update

* Update dataset download

* Update dataset download

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Pass imgsz to classify_transforms()

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Cos scheduler

* Cos scheduler

* Remove unused args

* Update

* Add seed

* Add seed

* Update

* Update

* Add run(), main()

* Merge master

* Merge master

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Create YOLOv5 BaseModel class (#8829)

* Create BaseModel

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* fix

* Hub load device fix

* Update

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* Add experiment

* Merge master

* Attach names

* weight decay = 1e-4

* weight decay = 5e-5

* update smart_optimizer console printout

* fashion-mnist fix

* Merge master

* Update Table

* Update Table

* Remove destroy process group

* add kwargs to forward()

* fuse fix for resnet50

* nc, names fix for resnet50

* nc, names fix for resnet50

* ONNX CPU inference fix

* revert

* cuda

* if augment or visualize

* if augment or visualize

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* New smart_inference_mode()

* Update README

* Refactor into /classify dir

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* reset defaults

* reset defaults

* fix gpu predict

* warmup

* ema half fix

* spacing

* remove data

* remove cache

* remove denormalize

* save run settings

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* verbose false on initial plots

* new save_yaml() function

* Update ci-testing.yml

* Path(data) CI fix

* Separate classification CI

* fix val

* fix val

* fix val

* smartCrossEntropyLoss

* skip validation on hub load

* autodownload with working dir root

* str(data)

* Dataset usage example

* im_show normalize

* im_show normalize

* add imagenet simple names to multibackend

* Add validation speeds

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* 24-space names

* Update bash scripts

* Update permissions

* Add bash script arguments

* remove verbose

* TRT data fix

* names generator fix

* optimize if names

* update usage

* Add local loading

* Verbose=False

* update names printing

* Add Usage examples

* Add Usage examples

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* Add Usage examples

* named_children

* reshape_classifier_outputs

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* update

* update

* fix CI

* fix incorrect class substitution

* fix incorrect class substitution

* remove denormalize

* ravel fix

* cleanup

* update opt file printing

* update opt file printing

* update defaults

* add opt to checkpoint

* Add warning

* Add comment

* plot half bug fix

* Use NotImplementedError

* fix export shape report

* Fix TRT load

* cleanup CI

* profile comment

* CI fix

* Add cls models

* avoid inplace error

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* Fix usage examples

* Update README

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* Update README

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* Update README

* Update README

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* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

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2022-08-17 11:59:01 +02:00
Glenn Jocher e242ede14c Add torch==1.7.0 to CI tests (#8916)
* Add torch==1.7.0 to CI tests

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

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* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Attempt crash on 1.7.0

* revert crash

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml

* Update ci-testing.yml
2022-08-09 23:46:30 +02:00
Glenn Jocher 2794483e09 Update CI to default Python 3.10 (#8883)
* Update CI to default Python 3.10

* Update ci-testing.yml

* Update ci-testing.yml
2022-08-05 17:10:44 +02:00
Glenn Jocher 7b72d9a607 Update ci-testing.yml streamlined tests (#8809)
* Update ci-testing.yml streamlined tests

* Update ci-testing.yml

* Update ci-testing.yml
2022-07-31 16:12:32 +02:00
Glenn Jocher 9111246208 Add hubconf.py argparser (#8799)
* Add hubconf.py argparser

* Add hubconf.py argparser
2022-07-30 21:00:28 +02:00
Glenn Jocher e34ae8837b ci-testing.yml Windows-friendly ENV variables (#8794)
Per https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions
2022-07-30 14:04:03 +02:00
Glenn Jocher 6e86af3de8 Add pip install wheel to avoid legacy setup.py install (#8597)
* Update ci-testing with `pip install wheel`

* Update ci-testing.yml

* Update dockerfiles
2022-07-16 16:41:43 +02:00
Glenn Jocherandpre-commit-ci[bot] 3e54651fca Add --hard-fail argument to benchmarks for CI errors (#8513)
* Add `--hard-fail` list argument to benchmarks for CI

Will cause CI to fail on a benchmark failure for given indices.

* Update ci-testing.yml

* Attempt Failure (CI should fail)

* Update benchmarks.py

* Update export.py

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2022-07-07 23:41:34 +02:00
dependabot[bot] 6a67594cbf Bump actions/setup-python from 3 to 4 (#8186)
Bumps [actions/setup-python](https://github.com/actions/setup-python) from 3 to 4.
- [Release notes](https://github.com/actions/setup-python/releases)
- [Commits](https://github.com/actions/setup-python/compare/v3...v4)

---
updated-dependencies:
- dependency-name: actions/setup-python
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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2022-06-13 12:16:55 +02:00
Glenn Jocher 7d87b9eae8 Make Docker actions conditional on ultralytics/yolov5 repo (#8060)
* Update ci-testing.yml

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* Update ci-testing.yml

* Update docker.yml
2022-05-31 16:36:57 +02:00
Glenn Jocher d490bdd7d6 Add best.pt PyTorch Hub inference to CI (#8024) 2022-05-28 22:55:03 +02:00
Glenn Jocher 7433d3829a Add requirements.txt protobuf<=3.20.1 (#8017)
* Pin `protobuf==3.20.1`

* Update requirements.txt

* Update ci-testing.yml
2022-05-28 12:12:27 +02:00
Glenn Jocher 07e84370ac Pin CI protobuf==3.20.1 (#8015)
Pin protobuf==3.20.1

Resolve protobuf 4 issues.
2022-05-28 10:53:44 +02:00
Glenn Jocher bf1a6dda7b Update CI benchmarks to ONNX autoinstall (#8008)
Avoids openvino-dev conflicts
2022-05-27 16:54:18 +02:00
Glenn Jocherandpre-commit-ci[bot] 2373c507b0 Update and add benchmarks to ci-testing.yml (#7996)
* Update and rename ci-testing.yml to ci.yml

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2022-05-27 11:46:55 +02:00
Glenn Jocher 8c420c4c1f Update ci-testing.yml (#7365)
Remove keras==2.6.0 patch
2022-04-10 15:17:25 +02:00
dependabot[bot] d51f9b2ff6 Bump actions/cache from 2.1.7 to 3 (#7175)
Bumps [actions/cache](https://github.com/actions/cache) from 2.1.7 to 3.
- [Release notes](https://github.com/actions/cache/releases)
- [Commits](https://github.com/actions/cache/compare/v2.1.7...v3)

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  update-type: version-update:semver-major
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2022-03-28 10:42:19 +02:00
dependabot[bot] a5a1760ea6 Bump actions/checkout from 2 to 3 (#6881)
Bumps [actions/checkout](https://github.com/actions/checkout) from 2 to 3.
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2022-03-07 13:49:27 +01:00
dependabot[bot] c8a589920e Bump actions/setup-python from 2 to 3 (#6880)
Bumps [actions/setup-python](https://github.com/actions/setup-python) from 2 to 3.
- [Release notes](https://github.com/actions/setup-python/releases)
- [Commits](https://github.com/actions/setup-python/compare/v2...v3)

---
updated-dependencies:
- dependency-name: actions/setup-python
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2022-03-07 13:48:59 +01:00
Glenn Jocher ff8646cdea Update workflows (#6427)
* Workflow updates

* quotes fix

* best to weights fix
2022-01-25 17:33:22 -05:00
dependabot[bot] 8277033b65 Bump actions/cache from 2.1.6 to 2.1.7 (#5816)
Bumps [actions/cache](https://github.com/actions/cache) from 2.1.6 to 2.1.7.
- [Release notes](https://github.com/actions/cache/releases)
- [Commits](https://github.com/actions/cache/compare/v2.1.6...v2.1.7)

---
updated-dependencies:
- dependency-name: actions/cache
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2021-11-29 12:04:36 +01:00
Glenn Jocher e80a09bbfa Update ci-testing.yml to Python 3.9 (#5660) 2021-11-15 20:15:50 +01:00
Ayush ChaurasiaandGlenn Jocher 540ef0dd30 W&B refactor, handle exceptions, CI example (#5618)
* handle exceptions| attempt CI

* update

* Pre-commit manual run

* yaml one-liner

* Update ci-testing.yml

* Comment W&B CI

Leave as example for future separate CI

* Update ci-testing.yml

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-11-14 13:26:53 +01:00
Glenn Jocherandpre-commit 34b859a41e Keras CI fix (#5486)
* Keras CI fix

* pre-commit fixes

* Update ci-testing.yml

Co-authored-by: pre-commit <pre-commit@example.com>
2021-11-03 19:25:44 +01:00
Jirka BorovecandGlenn Jocher ed887b5976 Add pre-commit CI actions (#4982)
* define pre-commit

* add CI code

* configure

* apply pre-commit

* fstring

* apply MD

* pre-commit

* Update torch_utils.py

* Update print strings

* notes

* Cleanup code-format.yml

* Update setup.cfg

* Update .pre-commit-config.yaml

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-10-28 18:35:01 +02:00
dependabot[bot] aa26504137 Bump actions/cache from 1 to 2.1.6 (#5252)
Bumps [actions/cache](https://github.com/actions/cache) from 1 to 2.1.6.
- [Release notes](https://github.com/actions/cache/releases)
- [Commits](https://github.com/actions/cache/compare/v1...v2.1.6)

---
updated-dependencies:
- dependency-name: actions/cache
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2021-10-19 11:31:24 +02:00
Glenn Jocher 26784afd99 Use YOLOv5n for CI testing (#5154) 2021-10-12 08:42:26 -07:00
Glenn Jocher cd35a009ba Revert torch.hub.load() test (#4986)
Temporarily reverts https://github.com/ultralytics/yolov5/pull/4978 until torch 1.10 is released, which should resolve `urllib.error.HTTPError: HTTP Error 403: rate limit exceeded` errors generated by torch hub from GitHub actions runners.
2021-09-28 20:11:20 -07:00
Glenn Jocher 0c93ec762a Faster --img 64 CI tests (#4979) 2021-09-28 12:41:28 -07:00
Glenn Jocher 94705a9528 Add Hub custom models to CI tests (#4978)
* Update ci-testing.yml for Hub custom model tests

* Update ci-testing.yml
2021-09-28 12:28:18 -07:00
Glenn Jocher aa1859909c Update ci-testing.yml (#4772) 2021-09-12 23:40:28 +02:00
Glenn Jocher b161edf873 Update ci-testing.yml (#4770) 2021-09-12 17:55:41 +02:00
Glenn Jocher c3a93d783d Add TensorFlow formats to export.py (#4479)
* Initial commit

* Remove unused export_torchscript return

* ROOT variable

* Add prefix to fcn arg

* fix ROOT

* check_yaml into run()

* interim fixes

* imgsz=(320, 320)

* Hardcode tf_raw_resize False

* Finish opt elimination

* Update representative_dataset_gen()

* Update export.py with TF methods

* SiLU and GraphDef fixes

* file_size() directory handling feature

* export fixes

* add lambda: to representative_dataset

* Detect training False default

* Fuse false for TF models

* Embed agnostic NMS arguments

* Remove lambda

* TensorFlow.js export success

* Add pb to Usage

* Add *_tfjs_model/ to ignore files

* prepend YOLOv5 to function headers

* Remove end --- comments

* parameterize tfjs export pb file

* update run() data default /ROOT

* update --include help

* update imports

* return ct_model

* Consolidate TFLite export

* pb prerequisite to tfjs

* TF modules CamelCase

* Remove exports from tf.py and cleanup

* pass agnostic NMS arguments

* CI

* CI

* ignore *_web_model/

* Add tensorflow to CI dependencies

* CI tensorflow-cpu

* Update requirements.txt

* Remove tensorflow check_requirement

* CI coreml tfjs

* export only onnx torchscript

* reorder exports torchscript first
2021-09-12 15:52:24 +02:00
Glenn Jocher d1182c4f29 check_requirements(('coremltools',)) (#4478)
* `check_requirements(('coremltools',))`

* Update ci-testing.yml

* Update ci-testing.yml
2021-08-18 21:16:57 +02:00
Glenn Jocher 24bea5e4b7 Standardize headers and docstrings (#4417)
* Implement new headers

* Reformat 1

* Reformat 2

* Reformat 3 - math

* Reformat 4 - yaml
2021-08-14 21:17:51 +02:00
Glenn Jocher 720aaa65c8 Rename test.py to val.py (#4000) 2021-07-14 15:43:54 +02:00
Glenn Jocher 1f69d12591 Update 4 main ops for paths and .run() (#3715)
* Add yolov5/ to path

* rename functions to run()

* cleanup

* rename fix

* CI fix

* cleanup find models/export.py
2021-06-21 17:25:04 +02:00
Glenn Jocher 5bab9a28e4 Reformat (#3694) 2021-06-19 14:21:28 +02:00
Glenn Jocher 2754adad46 Remove /weights directory (#3659)
* Remove `/weights` directory

* cleanup
2021-06-17 14:44:12 +02:00
+1 f3c3d2ce5d Merge develop branch into master (#3518)
* update ci-testing.yml (#3322)

* update ci-testing.yml

* update greetings.yml

* bring back os matrix

* update ci-testing.yml (#3322)

* update ci-testing.yml

* update greetings.yml

* bring back os matrix

* Enable direct `--weights URL` definition (#3373)

* Enable direct `--weights URL` definition

@KalenMike this PR will enable direct --weights URL definition. Example use case:
```
python train.py --weights https://storage.googleapis.com/bucket/dir/model.pt
```

* cleanup

* bug fixes

* weights = attempt_download(weights)

* Update experimental.py

* Update hubconf.py

* return bug fix

* comment mirror

* min_bytes

* Update tutorial.ipynb (#3368)

add Open in Kaggle badge

* `cv2.imread(img, -1)` for IMREAD_UNCHANGED (#3379)

* Update datasets.py

* comment

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* COCO evolution fix (#3388)

* COCO evolution fix

* cleanup

* update print

* print fix

* Create `is_pip()` function (#3391)

Returns `True` if file is part of pip package. Useful for contextual behavior modification.

```python
def is_pip():
    # Is file in a pip package?
    return 'site-packages' in Path(__file__).absolute().parts
```

* Revert "`cv2.imread(img, -1)` for IMREAD_UNCHANGED (#3379)" (#3395)

This reverts commit 21a9607e00.

* Update FLOPs description (#3422)

* Update README.md

* Changing FLOPS to FLOPs.

Co-authored-by: BuildTools <unconfigured@null.spigotmc.org>

* Parse URL authentication (#3424)

* Parse URL authentication

* urllib.parse.unquote()

* improved error handling

* improved error handling

* remove %3F

* update check_file()

* Add FLOPs title to table (#3453)

* Suppress jit trace warning + graph once (#3454)

* Suppress jit trace warning + graph once

Suppress harmless jit trace warning on TensorBoard add_graph call. Also fix multiple add_graph() calls bug, now only on batch 0.

* Update train.py

* Update MixUp augmentation `alpha=beta=32.0` (#3455)

Per VOC empirical results https://github.com/ultralytics/yolov5/issues/3380#issuecomment-853001307 by @developer0hye

* Add `timeout()` class (#3460)

* Add `timeout()` class

* rearrange order

* Faster HSV augmentation (#3462)

remove datatype conversion process that can be skipped

* Add `check_git_status()` 5 second timeout (#3464)

* Add check_git_status() 5 second timeout

This should prevent the SSH Git bug that we were discussing @KalenMike

* cleanup

* replace timeout with check_output built-in timeout

* Improved `check_requirements()` offline-handling (#3466)

Improve robustness of `check_requirements()` function to offline environments (do not attempt pip installs when offline).

* Add `output_names` argument for ONNX export with dynamic axes (#3456)

* Add output names & dynamic axes for onnx export

Add output_names and dynamic_axes names for all outputs in torch.onnx.export. The first four outputs of the model will have names output0, output1, output2, output3

* use first output only + cleanup

Co-authored-by: Samridha Shrestha <samridha.shrestha@g42.ai>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Revert FP16 `test.py` and `detect.py` inference to FP32 default (#3423)

* fixed inference bug ,while use half precision

* replace --use-half with --half

* replace space and PEP8 in detect.py

* PEP8 detect.py

* update --half help comment

* Update test.py

* revert space

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Add additional links/resources to stale.yml message (#3467)

* Update stale.yml

* cleanup

* Update stale.yml

* reformat

* Update stale.yml HUB URL (#3468)

* Stale `github.actor` bug fix (#3483)

* Explicit `model.eval()` call `if opt.train=False` (#3475)

* call model.eval() when opt.train is False

call model.eval() when opt.train is False

* single-line if statement

* cleanup

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* check_requirements() exclude `opencv-python` (#3495)

Fix for 3rd party or contrib versions of installed OpenCV as in https://github.com/ultralytics/yolov5/issues/3494.

* Earlier `assert` for cpu and half option (#3508)

* early assert for cpu and half option

early assert for cpu and half option

* Modified comment

Modified comment

* Update tutorial.ipynb (#3510)

* Reduce test.py results spacing (#3511)

* Update README.md (#3512)

* Update README.md

Minor modifications

* 850 width

* Update greetings.yml

revert greeting change as PRs will now merge to master.

Co-authored-by: Piotr Skalski <SkalskiP@users.noreply.github.com>
Co-authored-by: SkalskiP <piotr.skalski92@gmail.com>
Co-authored-by: Peretz Cohen <pizzaz93@users.noreply.github.com>
Co-authored-by: tudoulei <34886368+tudoulei@users.noreply.github.com>
Co-authored-by: chocosaj <chocosaj@users.noreply.github.com>
Co-authored-by: BuildTools <unconfigured@null.spigotmc.org>
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
Co-authored-by: Sam_S <SamSamhuns@users.noreply.github.com>
Co-authored-by: Samridha Shrestha <samridha.shrestha@g42.ai>
Co-authored-by: edificewang <609552430@qq.com>
2021-06-08 10:22:10 +02:00
Glenn Jocher 9a3da79b4a Update requirements.txt (#2021)
* Update requirements.txt

* Update ci-testing.yml

* Update hubconf.py
2021-01-23 12:51:04 -08:00
Glenn Jocher 85b75d6018 Update ci-testing.yml (#2018) 2021-01-22 15:22:54 -08:00
Glenn Jocher b53c8ac179 Create codeql-analysis.yml (#1644)
* Create codeql-analysis.yml

* Update ci-testing.yml
2020-12-08 17:03:16 -08:00
Glenn Jocher c4addd7761 Unified '/project/name' results saving (#1377)
* Project/name update

* Update ci-testing.yml

* address project with path separator failure mode

* Project/name update

* address project with path separator failure mode

* Update ci-testing.yml

* detect.py default --name bug fix

* missing rstrip PR

* train/exp0 to train/exp
2020-11-12 23:37:46 +01:00
Glenn Jocher 4821d076e2 Increment train, test, detect runs/ (#1322)
* Increment train, test, detect runs/

* Update ci-testing.yml

* inference/images to data/images

* move images

* runs/exp to runs/train/exp

* update 'results saved to %s' str
2020-11-08 19:39:05 +01:00