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Author SHA1 Message Date
Glenn Jocher 459dd49c02
Update setup.cfg (#11814) 
* Update setup.cfg

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

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

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* Update .pre-commit-config.yaml

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* Update export.py

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* Update downloads.py

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* Update yolo.py

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---------

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 2023-07-05 00:42:57 +02:00
Glenn Jocher 98acd111b1
Update Comet integration (#11648) 
* Update Comet

* Update Comet

* Update Comet

* Add default Experiment Name

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* Update tutorial.ipynb

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* Update tutorial.ipynb

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* Update tutorial.ipynb

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---------

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 2023-06-15 13:49:19 +02:00
Glenn Jocher 5deff1471d
Add `ultralytics` pip package (#11529) 
* Add ultralytics pip package

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* Add requirements.txt locations

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---------

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 2023-05-14 21:44:53 +02:00
Glenn Jocher be61a64c47
Update links to https://docs.ultralytics.com (#11412) 
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 2023-04-21 23:47:29 +02:00
Glenn Jocher 34cf749958
Update LICENSE to AGPL-3.0 (#11359) 
* Update LICENSE to AGPL-3.0

This pull request updates the license of the YOLOv5 project from GNU General Public License v3.0 (GPL-3.0) to GNU Affero General Public License v3.0 (AGPL-3.0).

We at Ultralytics have decided to make this change in order to better protect our intellectual property and ensure that any modifications made to the YOLOv5 source code will be shared back with the community when used over a network.

AGPL-3.0 is very similar to GPL-3.0, but with an additional clause to address the use of software over a network. This change ensures that if someone modifies YOLOv5 and provides it as a service over a network (e.g., through a web application or API), they must also make the source code of their modified version available to users of the service.

This update includes the following changes:
- Replace the `LICENSE` file with the AGPL-3.0 license text
- Update the license reference in the `README.md` file
- Update the license headers in source code files

We believe that this change will promote a more collaborative environment and help drive further innovation within the YOLOv5 community.

Please review the changes and let us know if you have any questions or concerns.


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

* Update headers to AGPL-3.0

---------

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2023-04-14 14:36:16 +02:00
imyhxy 81f81d3e97
Fixed randrange warnings in Python>=3.10 (#11161) 
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2023-03-23 20:30:10 +01:00
Glenn Jocher 7a972e86c4
Update .pre-commit-config.yaml (#11009) 
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 2023-02-18 01:06:24 +01:00
Aarni Koskela a2de5c5bf6
Subprocess improvements (#10973) 
* Use list-form arguments for subprocess.run calls where possible

Augments #10944

* Deduplicate curl code

* Avoid eval() to parse integer

---------

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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 2023-02-13 18:00:31 +04:00
Glenn Jocher 238da321cb
Security3 (#10944) 
* Security improvements

* Security improvements

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 2023-02-09 17:58:24 +04:00
Yonghye Kwon 10e93d295f
Set a seed of generator with an option for more randomness when training several models with different seeds (#10486) 
* set seed with parameter

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* make seed to be a large number

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* set a seed of dataloader with opt for more randomness

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 2022-12-19 10:27:34 +01:00
Glenn Jocher 40bb8030f8
Scope gitpyhon import in `check_git_info()` (#10221) 
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 2022-11-19 14:22:07 +01:00
Glenn Jocher 0307954e4e
Add git info to cls, seg checkpoints (#10217) 2022-11-19 03:32:21 +01:00
Glenn Jocher 9286336cb4
Add `git` info to training checkpoints (#9655) 
* Add git status on train checkpoints

* Update

* Update

* Update

* Update

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* Update general.py

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* Update general.py

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 2022-11-19 03:16:17 +01:00
Glenn Jocher 0322bb3196
New global `TQDM_BAR_FORMAT` (#10211) 
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 2022-11-18 21:39:13 +01:00
Glenn Jocher fde7758468
YOLOv5 AutoCache Update (#10027) 
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 2022-11-04 15:30:12 +01:00
Glenn Jocher 02b8a4c21b
Update default `--epochs 100` (#10024) 
* Update default `--epochs 100`

@AyushExel @kalenmike updating default Detection and Segmentation trainings to 100 epochs

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* Update train.py

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 2022-11-03 17:58:15 +01:00
Glenn Jocher acff977af3
Logger Cleanup (#9828) 2022-10-17 15:30:42 +02:00
Glenn Jocher 209be932de
Fix segment evolution keys (#9742) 
* Update

* Cleanup
 2022-10-09 23:51:29 +02:00
Glenn Jocher ca9c993d6c
Standardize warnings with `WARNING ⚠️ ...` (#9467) 
* Standardize warnings

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 2022-09-18 16:15:25 +02:00
robinned 3cd66b1c38
Train.py line 486 typo fix (#9330) 
fixed issue

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 2022-09-08 22:00:54 +03:00
Dhruv Nair 903b239f13
Comet Logging and Visualization Integration (#9232) 
* add comet to logger interface

* add comet logger

* add support for updated parameters

* clean up offline logger creation

* update callback args for comet logger

* add comet optimizer

* add optimizer config

* add comet README

* update tutorial notebook with Comet section

* add option to log class level metrics

* add support for class level metrics and confusion matrix

* handle errors when adding files to artifacts

* fix typo

* clean resume workflow

* updates for HPO

* update comet README

* fix typo in comet README

* update code snippets in comet README

* update comet links in tutorial

* updated links

* change optimizer batch size param and update comet README image

* update comet section in tutorial

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* change checkpoint logging flow to follow offline logger

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 2022-09-07 18:28:46 +03:00
Ayush Chaurasia 2d082a07bd
Refactor Loggers : Move code outside train.py (#9241) 
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 2022-09-01 19:17:36 +02:00
Glenn Jocher 06831aa9e9
Improved Usage example docstrings (#9075) 
* Updated Usage examples

* Update detect.py

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 2022-08-22 01:06:29 +02:00
Glenn Jocher 8665d557c1
Threaded TensorBoard graph logging (#9070) 
* Log TensorBoard graph on pretrain_routine_end

* fix
 2022-08-21 16:51:50 +02:00
Glenn Jocher 0b8639a40a
Rename 'labels' to 'instances' (#9066) 
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* Rename labels to instances

* align val
 2022-08-21 15:50:02 +02:00
Glenn Jocher e0700cce77
Daemon `plot_labels()` for faster start (#9057) 
* Daemon `plot_labels()` for faster start

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 2022-08-21 03:47:37 +02:00
Glenn Jocher fdcb92a938
Update train.py `import val as validate` (#9037) 
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 2022-08-19 16:54:58 +02:00
Glenn Jocher 781401ec70
Default --data `imagenette160` training (fastest) (#9033) 
* Default --data `imagenette160` training (fastest)

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* Update train.py

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* Update train.py

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 2022-08-19 15:06:37 +02:00
Glenn Jocher 20049be2e7
EMA FP32 assert classification bug fix (#9016) 
* Return EMA float on classification val

* verbose val fix

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 2022-08-18 14:06:15 +02:00
Glenn Jocher d3ea0df8b9
New YOLOv5 Classification Models (#8956) 
* Update

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

* enhance

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* Update classifier.py

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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

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* Update

* Update

* Update

* Update

* Update dataset download

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* 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

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* Update

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* Update

* Update

* Update

* Update

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 2022-08-17 11:59:01 +02:00
Yana fd004f5648
Fix bug with resume (#8912) 
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 2022-08-17 00:58:30 +02:00
Glenn Jocher f1214f237d
Remove DDP `destroy_process_group()` on train end (#8935) 
May resolve https://github.com/ultralytics/yolov5/issues/7307
 2022-08-13 03:57:31 +02:00
黄不盈 c962db2749
Fix anchor incorrectly initialized (#8891) 
* Fix anchor incorrectly initialized

Using --noautoanchor and --evolve simultaneously leads to anchor incorrectly initialized. --noautoanchor denotes anchors don't need to evolve, thus removing anchors from hyp will fix it.

* Update train.py

* Update train.py

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2022-08-08 17:15:18 +02:00
Glenn Jocher 20f1b7ea08
`smart_optimizer()` improved reporting (#8887) 
Update smart_optimizer() weight_decay reporting
 2022-08-06 11:30:54 +02:00
Victor Sonck 378bde4bba
ClearML experiment tracking integration (#8620) 
* Add titles to matplotlib plots

* Add ClearML Experiment Tracking integration.

* Add ClearML Data Version Management automatic download when requested

* Add ClearML Hyperparameter Optimization

* ClearML save period integration

* Fix wandb breaking when used with ClearML dataset

* Fix wandb breaking when used with ClearML resume and dataset

* Add ClearML documentation

* fixed small bug in clearml integration that misreports epoch number

* Final ClearMl additions before refactor

* Add correct epoch reporting

* Add remote execution and autoscaling docs for ClearML integration

* Added images to clearml integration docs

* fixed logo alignment bug and added hpo screenshot clearml

* Fixed small epoch number bug in clearml integration

* Remove saved model flush clearml

* Cleanup clearml readme section

* Cleaned up clearml logger docstring

* Remove resume readme section clearml

* Clearml integration cleanup

* Updated ClearML documentation

* Added dark vs light icons ClearML Readme

* Clearml Readme styling

* Add better gifs

* Fixed gif file size

* Add better images in tutorial notebook

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* Addressed comments in PR #8620

* Fixed circular import

* Fixed circular import

* Update tutorial.ipynb

* Update tutorial.ipynb

* Inline comment

* Restructured tutorial notebook

* Add correct ClearML link to README

* Update tutorial.ipynb

* Update general.py

* Update __init__.py

* Update __init__.py

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* Update __init__.py

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* spelling

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* Removed labels as they show up on last subplot only

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2022-08-05 20:50:49 +02:00
Glenn Jocher daed7a844e
`--resume` training from URL weights fix (#8884) 
--resume training from URL weights fix

@kalenmike should fix data error on HUB resume
 2022-08-05 16:42:10 +02:00
Glenn Jocher e073658e11
`--resume` training from URL weights (#8882) 
@kalenmike
 2022-08-05 16:27:28 +02:00
Glenn Jocher a75a1105a1
Self-contained checkpoint `--resume` (#8839) 
* Single checkpoint resume

* Update train.py

* Add hyp

* Add hyp

* Add hyp

* FIX

* avoid resume on url data

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* avoid resume on url data

* avoid resume on url data

* Update

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 2022-08-03 21:28:22 +02:00
Glenn Jocher 08c8c3e00a
New `smart_resume()` (#8838) 
* New `smart_resume()`

* Update torch_utils.py

* Update torch_utils.py

* Update torch_utils.py

* fix
 2022-08-02 15:13:58 +02:00
Glenn Jocher f3c78a387e
Remove hook `torch.nan_to_num(x)` (#8826) 
* Remove hook `torch.nan_to_num(x)`

Observed erratic training behavior (green line) with the nan_to_num hook in classifier branch. I'm going to remove it from master.

* Update train.py
 2022-08-01 21:39:04 +02:00
UnglvKitDe 0669f1b27b
Add tensor hooks and 10.0 gradient clipping (#8598) 
* Add tensor hooks and gradient clipping https://github.com/ultralytics/yolov5/issues/8578

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* Remove retain_grad(), because its not necessary

* Update train.py

* Simplify

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 2022-08-01 12:08:46 +02:00
Glenn Jocher 59595c1365
Update train.py for `val.run(half=amp)` (#8804) 
Disable FP16 validation if AMP checks fail or amp=False.
 2022-07-31 04:17:39 +02:00
Glenn Jocher 9cf5fd5ac3
assert torch!=1.12.0 for DDP training (#8621) 
* assert torch!=1.12.0 for DDP training

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 2022-07-18 15:05:58 +02:00
Glenn Jocher 51fb467b63
Refactor optimizer initialization (#8607) 
* Refactor optimizer initialization

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* Update train.py

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 2022-07-17 11:43:52 +02:00
Yonghye Kwon 7204c1ca25
Explicitly set `weight_decay` value (#8592) 
* explicitly set weight_decay value

The default weight_decay value of AdamW is 1e-2, so we should set it to zero.

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* Cleanup

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2022-07-16 15:51:48 +02:00
Ayush Chaurasia 27d831b6e4
Training reproducibility improvements (#8213) 
* attempt at reproducibility

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* use deterministic algs

* fix everything :)

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* revert dataloader changes

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* process_batch as np

* remove newline

* Remove dataloader init fcn

* Update val.py

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* revert additional changes

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* Update train.py

* Add --seed arg

* Update general.py

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* Update train.py

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* Add deterministic argument to init_seeds()

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 2022-07-07 14:39:29 +02:00
Amir Pourmand e50dc38d36
Improve `--local_rank` arg comment (#8409) 
* add more docs

* add more docs

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* Update train.py

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 2022-06-30 15:01:31 +02:00
Giacomo Guiduzzi 6935a54e60
Implementation of Early Stopping for DDP training (#8345) 
* Implementation of Early Stopping for DDP training

This edit correctly uses the broadcast_object_list() function to send slave processes a boolean so to end the training phase if the variable is True, thus allowing the master process to destroy the process group and terminate.

* Update train.py

* Update train.py

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* Update train.py

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* Update train.py

* Further cleanup

This cleans up the definition of broadcast_list and removes the requirement for clear() afterward.

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 2022-06-29 12:41:46 +02:00
Glenn Jocher 8ebf569d14
Fix bias warmup LR init (#8356) 
Per https://github.com/ultralytics/yolov5/issues/8352
 2022-06-27 16:11:24 +02:00
Glenn Jocher dcf8073881
Simplify and fix `--save-period` epoch 0 (#8042) 
Simplify and update `--save-period` epoch 0
 2022-05-30 12:42:12 +02:00