Glenn Jocher
72cad39854
Squeezenet reshape outputs fix ( #10222 )
...
@AyushExel
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-11-19 16:44:56 +01:00
tripleMu
90575107e7
Filter PyTorch 1.13 UserWarnings ( #10166 )
...
FilterWarning for torch.distributed._all_gather_base
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-11-16 16:10:15 +01:00
Glenn Jocher
e42c89d4ef
smart_optimizer() revert to weight with decay (#9817 )
...
If a parameter does not fall into any other category
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-10-16 20:51:32 +02:00
Glenn Jocher
ca9c993d6c
Standardize warnings with WARNING ⚠️ ... ( #9467 )
...
* Standardize warnings
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2022-09-18 16:15:25 +02:00
黄不盈
8aa196ce08
Add dilated conv support ( #9347 )
...
* added dilate conv support
* added dilate conv support
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* Update common.py
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2022-09-10 00:16:07 +03:00
Glenn Jocher
cff9717d73
Comment EMA assert ( #9173 )
...
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-08-26 20:06:26 +02:00
Glenn Jocher
27fb6fd8fc
zero-mAP fix 3 ( #9058 )
...
* zero-mAP fix 3
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update torch_utils.py
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* Update torch_utils.py
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2022-08-21 03:22:24 +02:00
Glenn Jocher
841f312f93
zero-mAP fix return .detach() to EMA ( #9056 )
...
Resolves https://github.com/ultralytics/hub/issues/82
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-08-21 02:23:39 +02:00
Glenn Jocher
c725511bfc
Refactor for simplification ( #9054 )
...
* Refactor for simplification
* cleanup
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2022-08-21 01:34:03 +02:00
Glenn Jocher
61adf017f2
torch.empty() for speed improvements (#9025 )
...
`torch.empty()` for speed improvement
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-08-18 20:12:33 +02:00
Glenn Jocher
20049be2e7
EMA FP32 assert classification bug fix ( #9016 )
...
* Return EMA float on classification val
* verbose val fix
* EMA check
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
* 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
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* format
* Update dataloaders.py
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* 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
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* 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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* 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
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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
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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
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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
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* Update
* Update
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* Update
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* 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
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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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* reset defaults
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* fix gpu predict
* warmup
* ema half fix
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* remove data
* remove cache
* remove denormalize
* save run settings
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* verbose false on initial plots
* new save_yaml() function
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* Path(data) CI fix
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* fix val
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* smartCrossEntropyLoss
* skip validation on hub load
* autodownload with working dir root
* str(data)
* Dataset usage example
* im_show normalize
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* add imagenet simple names to multibackend
* Add validation speeds
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* 24-space names
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* Add Usage examples
* Add Usage examples
* named_children
* reshape_classifier_outputs
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* update
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* fix CI
* fix incorrect class substitution
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* remove denormalize
* ravel fix
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* update opt file printing
* update opt file printing
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* Fix TRT load
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* Update README
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2022-08-17 11:59:01 +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
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
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
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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
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
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
Glenn Jocher
303f3785ae
Prefer MPS over CPU if available ( #8210 )
...
* Prefer MPS over CPU if available
* Update torch_utils.py
2022-06-17 18:28:29 +02:00
Glenn Jocher
c215878f11
YOLOv5 Apple Metal Performance Shader (MPS) support ( #7878 )
...
* Apple Metal Performance Shader (MPS) device support
Following https://pytorch.org/blog/introducing-accelerated-pytorch-training-on-mac/
Should work with Apple M1 devices with PyTorch nightly installed with command `--device mps`. Usage examples:
```bash
python train.py --device mps
python detect.py --device mps
python val.py --device mps
```
* Update device strategy to fix MPS issue
2022-05-24 13:34:32 +02:00
xylieong
f43cd53d44
Added Windows cmd to count GPU devices ( #7891 )
...
* Added Windows cmd to count GPU devices
* Cleanup
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-05-19 15:48:44 +02:00
Glenn Jocher
f00071416f
Refactor collections and fstrings ( #7821 )
...
* Update torch_utils.py
* Additional code refactoring
* tuples to sets
* Cleanup
2022-05-15 16:38:26 +02:00
Glenn Jocher
3356f2609c
Add Python version output ( #7814 )
2022-05-14 18:30:47 +02:00
pre-commit-ci[bot]
7882950577
[pre-commit.ci] pre-commit suggestions ( #7279 )
...
* [pre-commit.ci] pre-commit suggestions
updates:
- [github.com/asottile/pyupgrade: v2.31.0 → v2.31.1](https://github.com/asottile/pyupgrade/compare/v2.31.0...v2.31.1 )
- [github.com/pre-commit/mirrors-yapf: v0.31.0 → v0.32.0](https://github.com/pre-commit/mirrors-yapf/compare/v0.31.0...v0.32.0 )
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2022-04-04 22:47:00 +02:00
Jirka Borovec
c3d5ac151e
precommit: yapf ( #5494 )
...
* precommit: yapf
* align isort
* fix
# Conflicts:
# utils/plots.py
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2022-03-31 16:52:34 +02:00
Glenn Jocher
6134ec5d94
Model summary pathlib fix ( #7104 )
...
Stems not working correctly for YOLOv5l with current .rstrip() implementation. After fix:
```
YOLOv5l summary: 468 layers, 46563709 parameters, 46563709 gradients, 109.3 GFLOPs
```
2022-03-22 20:05:07 +01:00
Glenn Jocher
a600baed8e
Update model summary to display model name ( #7101 )
2022-03-22 15:41:19 +01:00
Glenn Jocher
6dd82c0252
Move git_describe() to general.py ( #6918 )
...
* Move `git_describe()` to general.py
* Move `git_describe()` to general.py
2022-03-09 18:22:53 +01:00
Glenn Jocher
e6e36aac10
Update bytes to GB with bitshift ( #6886 )
2022-03-07 19:26:37 +01:00
Glenn Jocher
0f819919ad
Update EMA decay tau ( #6769 )
...
* Update EMA
* Update EMA
* ratio invert
* fix ratio invert
* fix2 ratio invert
* warmup iterations to 100
* ema_k
* implement tau
* implement tau
2022-02-25 12:33:09 +01:00
Glenn Jocher
4de8b24881
Suppress torch AMP-CPU warnings ( #6706 )
...
This is a torch bug, but they seem unable or unwilling to fix it so I'm creating a suppression in YOLOv5.
Resolves https://github.com/ultralytics/yolov5/issues/6692
2022-02-19 16:48:33 +01:00
Jirka Borovec
cba4303d32
Fix 6 Flake8 issues ( #6541 )
...
* F541
* F821
* F841
* E741
* E302
* E722
* Apply suggestions from code review
* Update general.py
* Update datasets.py
* Update export.py
* Update plots.py
* Update plots.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-02-05 15:22:59 +01:00
Glenn Jocher
d8b5beb0b0
Fix2 select_device() for Multi-GPU ( #6461 )
...
* Fix2 select_device() for Multi-GPU
* Cleanup
* Cleanup
* Simplify error message
* Improve assert
* Update torch_utils.py
2022-01-28 08:18:01 +01:00
Glenn Jocher
856d4e5733
Fix select_device() for Multi-GPU ( #6434 )
...
* Fix `select_device()` for Multi-GPU
Possible fix for https://github.com/ultralytics/yolov5/issues/6431
* Update torch_utils.py
* Update torch_utils.py
* Update torch_utils.py
* Update torch_utils.py
* Update
* Update
* Update
* Update
* Update
* Update
* Update
* Update
* Update
2022-01-26 23:47:00 +01:00
imyhxy
4e841b9b16
Reuse de_parallel() rather than is_parallel() ( #6354 )
2022-01-20 10:50:17 -10:00
Glenn Jocher
436ffc417a
select_device() cleanup (#6302 )
...
* `select_device()` cleanup
* Update torch_utils.py
* Update torch_utils.py
* Update torch_utils.py
* Update torch_utils.py
* Update torch_utils.py
2022-01-14 15:48:15 -10:00
Henry
a1a9c6884c
Fixing bug multi-gpu training ( #6299 )
...
* Fixing bug multi-gpu training
This solves this issue: https://github.com/ultralytics/yolov5/issues/6297#issue-1103853348
* Update torch_utils.py for pep8
2022-01-14 10:11:06 -10:00
Glenn Jocher
e7bf38277f
Fix device count check ( #6290 )
...
* Fix device count check()
* Update torch_utils.py
* Update torch_utils.py
* Update hubconf.py
2022-01-13 21:23:03 -10:00
Felix You
c45f9f678d
Make select_device() robust to batch_size=-1 ( #5940 )
...
* Find out a bug. When set batch_size = -1 to use the autobatch.
reproduce:
* Fix type conflict
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-12-10 15:27:20 +01:00
Glenn Jocher
7ebb5e5da6
Add notebook_init() to utils/__init__.py ( #5488 )
...
* Update __init__.py
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* notebook_init
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* notebook_init
* notebook_init
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* notebook_init
* Created using Colaboratory
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-11-09 23:03:19 +01:00
Glenn Jocher
3883261143
New DetectMultiBackend() class ( #5549 )
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* New `DetectMultiBackend()` class
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* pb to pt fix
* Cleanup
* explicit apply_classifier path
* Cleanup2
* Cleanup3
* Cleanup4
* Cleanup5
* Cleanup6
* val.py MultiBackend inference
* warmup fix
* to device fix
* pt fix
* device fix
* Val cleanup
* COCO128 URL to assets
* half fix
* detect fix
* detect fix 2
* remove half from DetectMultiBackend
* training half handling
* training half handling 2
* training half handling 3
* Cleanup
* Fix CI error
* Add torchscript _extra_files
* Add TorchScript
* Add CoreML
* CoreML cleanup
* New `DetectMultiBackend()` class
* pb to pt fix
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Cleanup
* explicit apply_classifier path
* Cleanup2
* Cleanup3
* Cleanup4
* Cleanup5
* Cleanup6
* val.py MultiBackend inference
* warmup fix
* to device fix
* pt fix
* device fix
* Val cleanup
* COCO128 URL to assets
* half fix
* detect fix
* detect fix 2
* remove half from DetectMultiBackend
* training half handling
* training half handling 2
* training half handling 3
* Cleanup
* Fix CI error
* Add torchscript _extra_files
* Add TorchScript
* Add CoreML
* CoreML cleanup
* revert default to pt
* Add Usage examples
* Cleanup val
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-11-09 16:45:02 +01:00
Glenn Jocher
79bca2bf64
LOGGER consolidation (#5569 )
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* Logger consolidation
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2021-11-08 16:32:15 +01:00
Glenn Jocher
e189fa15ea
intersect_dicts() in hubconf.py fix (#5542 )
2021-11-06 15:41:17 +01:00
Glenn Jocher
5866646cc8
Fix float zeros format ( #5491 )
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* Fix float zeros format
* 255 to integer
2021-11-03 23:36:53 +01:00
Glenn Jocher
84a8099b75
Update torch_utils.py import LOGGER ( #5483 )
2021-11-03 17:17:38 +01:00
Glenn Jocher
df30426c03
Improve GPU name ( #5478 )
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* Improve GPU name
* Update torch_utils.py
* Update torch_utils.py
* Update torch_utils.py
* Update torch_utils.py
2021-11-03 16:59:53 +01:00
Glenn Jocher
5d4258fac5
Fix MixConv2d() remove shortcut + apply depthwise ( #5410 )
2021-10-30 13:38:51 +02:00
