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Author SHA1 Message Date
Glenn Jocher
7c9486e16f
Update attempt_download(release='v6.2') (#8998) 
* Update attempt_download(release='v6.2')

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

* Update README.md

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

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2022-08-17 15:48:17 +02:00
Glenn Jocher
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

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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

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* replace print with logger

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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

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* 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

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* replace print with logger

* commit steps

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* support final model logging

* update

* update

* update

* update

* remove curses

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* Update classifier.py

* Update __init__.py

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>

* 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

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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

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

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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

* Add Usage examples

* 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

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

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* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

* Update README

Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
 2022-08-17 11:59:01 +02:00
Victor Sonck
3456fe65c6
Fix torchvision dependency for ClearML logging (#8993) 
* Replace torchvision annotator with native local Annotator

* Add colored bounding boxes and rewrite for efficiency

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

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* Fix pep8 issue

* Update clearml_utils.py

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* Update clearml_utils.py

* Reduced conf_threshold to 0.25 to match defaults

The 0.25 default conf threshold value is used a default throughout YOLOv5 (i.e. in detect.py) and also in other tools like CoreML

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2022-08-17 11:51:07 +02:00
Glenn Jocher
464c2c6713
Colab and Kaggle loggers removeHandler (#8985) 
Resolve duplicate outputs in colab. Also optimizes Colab and Kaggle environment checks.

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

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2022-08-16 16:49:32 +02:00
Michel Promonet
4d05472d2b
Allow multiple-model serving from Flask REST API (#8973) 
* allow to serve multiple models using flask restapi

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* Cleanup

* Update restapi.py

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2022-08-15 23:42:25 +02:00
Glenn Jocher
d7bc5d7773
Add .tar support for datasets (#8963) 2022-08-14 23:06:42 +02:00
Glenn Jocher
7639e4c7ef
Fix windows LOGGER with emojis output (#8958) 
* Fix duplicate LOGGER output

* Update general.py
 2022-08-14 00:12:09 +02:00
Glenn Jocher
dc38cd03f4
New smart_inference_mode() conditional decorator (#8957) 
New smart_inference_mode()
 2022-08-13 20:38:51 +02:00
Glenn Jocher
6aed0a7c00
GFLOPs computation fix for classification models (#8954) 
* GFLOPs computation fix for classification models

Improved robustness in reading input channel count

* Update torch_utils.py

* Update torch_utils.py
 2022-08-13 16:38:11 +02:00
Kalen Michael
11a76bb4f5
Allow train to use zipped content (#8940) 
* fix: added transparent image and empty alt to social bar

* fix: remove underlines

* fix: hide underlines for all social links

* fix: always unzip into folder
 2022-08-13 03:39:09 +02:00
Glenn Jocher
7ab1f50633
Scope torchvision.utils.draw_bounding_boxes import (#8915) 
* Scope `torchvision.utils.draw_bounding_boxes` import

Quick fix for https://github.com/ultralytics/yolov5/issues/8898#issuecomment-1208851874 until a more permanent fix is implemented

* Update clearml_utils.py
 2022-08-09 20:29:25 +02:00
Code-Bat
b551098d59
About "os.R_OK" in general.py (#8909) 
The notes says "Return True if directory has write permissions", however, the code below is "os.R_OK", I think "os.W_OK" is preferred.
 2022-08-09 16:59:36 +02:00
Glenn Jocher
f5335f22bb
Capitalize YouTube (#8903) 2022-08-08 20:36:18 +02:00
Glenn Jocher
8f28ea4945
emoji-safe default logging (#8888) 
* emoji-safe default logging

* implement everywhere
 2022-08-06 12:30:08 +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

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

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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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* Update __init__.py

* Update README.md

* Update __init__.py

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* spelling

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* notebook cutt.ly links

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* Update README.md

* cutt.ly links in tutorial

* Removed labels as they show up on last subplot only

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>
 2022-08-05 20:50:49 +02:00
Glenn Jocher
bc9fcb1767
HUBDatasetStats() preview images to 50 quality (#8880) 
@kalenmike should represent a 30% filesize reduction vs 75 quality
 2022-08-05 14:45:41 +02:00
Glenn Jocher
84e7748564
Update dataloaders.py remove float64 shapes (#8865) 
May help https://github.com/ultralytics/yolov5/issues/8862
 2022-08-04 17:06:08 +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

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

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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
ba140e5685
RUN git clone instead of COPY to /usr/src/app (#8827) 
Update
 2022-08-01 21:45:31 +02:00
Glenn Jocher
39ce8ca19a
Remove assert not is_docker() from GitHub checks (#8813) 
* Update

* Update
 2022-08-01 03:01:44 +02:00
Amir Pourmand
afa403a809
Check git status on upstream ultralytics or origin dynamically (#8694) 
* Add remote ultralytics and check git status with that

* Simplify

* Update general.py

* Update general.py

* s fix

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2022-07-31 18:17:38 +02:00
Glenn Jocher
555976b346
FROM nvcr.io/nvidia/pytorch:22.07-py3 (#8808) 2022-07-31 15:23:57 +02:00
jbutle55
567397d67a
Fix confusion matrix update when no predictions are made (#8748) 
* Fix confusion matrix update when no predictions are made

* Update metrics.py

* Simply confusion matrix changes

* Simply confusion matrix fix

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2022-07-29 14:06:23 +02:00
Max Strobel
0b5ac224ae
fix: broken `is_docker` check (#8711) 
Checking if ``/workspace`` exists is not a reliable method to check if
the process runs in a docker container.

Reusing the logic from the npm "is-docker" package to check if the
process runs in a container.
References: https://github.com/sindresorhus/is-docker/blob/main/index.js

Fixes #8710.

Co-authored-by: Maximilian Strobel <Maximilian.Strobel@infineon.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2022-07-26 19:02:44 +02:00
Glenn Jocher
c775a296a7
Revert "Fix BGR->RGB Bug in albumentations #8641" (#8727) 
Revert "Fix BGR->RGB Bug in albumentations #8641 (#8695)"

This reverts commit 2e1291fdce26b3cff213e9e7ee8c196fa263b688.
 2022-07-26 19:00:48 +02:00
UnglvKitDe
2e1291fdce
Fix BGR->RGB Bug in albumentations #8641 (#8695) 
* Fix BGR->RGB Bug in albumentations https://github.com/ultralytics/yolov5/issues/8641

* Change transform methode from cv2 to numpy

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* Simplify

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* Update augmentations.py

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 2022-07-26 13:52:56 +02:00
Glenn Jocher
b367860196
New HUBDatasetStats() class (#8716) 
* New `HUBDatasetStats()` class

Usage examples:
```
from utils.dataloaders import *

stats = HUBDatasetStats('coco128.yaml', autodownload=True)  # method 1
stats = HUBDatasetStats('path/to/coco128_with_yaml.zip')  # method 1

stats.get_json(save=False)
stats.process_images()
```

@kalenmike

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* Update dataloaders.py

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* Update dataloaders.py

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* Update dataloaders.py

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 2022-07-25 18:20:01 +02:00
Glenn Jocher
a6f197ae79
Update dataloaders.py (#8714) 
* Update dataloaders.py

* Update dataloaders.py
 2022-07-25 16:52:28 +02:00
Glenn Jocher
0ab303b044
Remove else: from load_image() (#8692) 2022-07-25 00:02:09 +02:00
Glenn Jocher
916bdb1d61
Faster crop saving (#8696) 
Faster crops

Following https://github.com/ultralytics/yolov5/issues/8641#issuecomment-1193190325
 2022-07-23 23:30:30 +02:00
Glenn Jocher
b510957650
Move .dockerignore to root (#8690) 2022-07-23 18:50:19 +02:00
Glenn Jocher
7f7bd6fbcd
Set torch.cuda.manual_seed_all() for DDP (#8688) 
* Set `torch.cuda.manual_seed_all()` for DDP

* Update general.py

* Update general.py
 2022-07-23 18:24:14 +02:00
UnglvKitDe
1c5e92aba1
Add generator and worker seed (#8602) 
* Add generator and worker seed

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

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* Update dataloaders.py

* Update dataloaders.py

* Update dataloaders.py

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 2022-07-23 01:25:17 +02:00
Glenn Jocher
b17629e54f
Update warning emojis (#8678) 2022-07-22 15:23:22 +02:00
Rüdiger Busche
602d7ffb0e
Check TensorBoard logger before adding graph (#8664) 
Otherwise, an error is thrown if the tensorboard logger is not included.
 2022-07-21 17:40:53 +02:00
Glenn Jocher
fbe67e4653
Fix OMP_NUM_THREADS=1 for macOS (#8624) 
Resolves https://github.com/ultralytics/yolov5/issues/8623
 2022-07-18 17:53:30 +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

* Update train.py

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 2022-07-17 11:43:52 +02:00
Glenn Jocher
24305787ae
FROM nvcr.io/nvidia/pytorch:22.06-py3 (#8600) 2022-07-17 00:55:55 +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 Jocher
04146371b9
Update metrics.py with IoU protected divides (#8550) 2022-07-12 01:58:25 +02:00
Glenn Jocher
a84cd02387
CIoU protected divides (#8546) 
Protected divides in IOU function to resolve https://github.com/ultralytics/yolov5/issues/8539
 2022-07-11 16:07:11 +02:00
Colin Wong
526e650553
Fix LoadImages() with dataset YAML lists (#8517) 
* Fix LoadImages with dataset yaml lists

* Update dataloaders.py

* Update dataloaders.py

* Simplify/refactor PR

* Update dataloaders.py

Co-authored-by: Colin Wong <noreply@brains4drones.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2022-07-08 14:32:40 +02:00
Glenn Jocher
f17444abcd
Simplify benchmarks.py assertions (#8515) 2022-07-07 23:46:55 +02:00
Glenn Jocher
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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* Update benchmarks.py

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* Update ci-testing.yml

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 2022-07-07 23:41:34 +02:00
Glenn Jocher
dd28df98c2
Avoid FP64 ops for MPS support in train.py (#8511) 
Avoid FP64 ops for MPS support

Resolves https://github.com/ultralytics/yolov5/pull/7878#issuecomment-1177952614
 2022-07-07 20:36:23 +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

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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
Glenn Jocher
29d79a6360
Do not prefer Apple MPS (#8446) 
Require explicit request for MPS, i.e.
```bash
python detect.py --device mps
```

Reverts https://github.com/ultralytics/yolov5/pull/8210 for preferring MPS if available. 

Note that torch MPS is experiencing ongoing compatibility issues in https://github.com/pytorch/pytorch/issues/77886
 2022-07-02 18:35:45 +02:00