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Author SHA1 Message Date
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

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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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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

* 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

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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

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

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

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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

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

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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
Glenn Jocher 7921351b4e
Deprecate torch 1.6.0 `compat _non_persistent_buffers_set` (#8797) 
Deprecate torch 1.6.0 compat _non_persistent_buffers_set
 2022-07-30 21:25:16 +02:00
Glenn Jocher 18674e2f03
experimental.py Apple MPS device fix (#8121) 
* experimental.py Apple MPS fix

May resolve https://github.com/ultralytics/yolov5/issues/8102

* Update experimental.py

* Update experimental.py
 2022-06-06 23:58:50 +02:00
Glenn Jocher 258f4c6438
`attempt_load()` deserialize fix (#8051) 2022-05-31 10:55:14 +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
Glenn Jocher fb7fa5be8b
New TensorFlow `TFCrossConv()` module (#7827) 
* New TensorFlow `TFCrossConv()` module

* Move from experimental to common

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

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* Add C3x

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* Add to C3x to yolo.py

* Add to C3x to tf.py

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* TFC3x bug fix

* TFC3x bug fix

* TFC3x bug fix

* Add TFDWConv g==c1==c2 check

* Add comment

* Update tf.py

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
 2022-05-16 17:02:16 +02:00
Glenn Jocher 8aa2085a7e
Refactor modules (#7823) 2022-05-15 19:44:16 +02:00
Glenn Jocher 3f3852e2ff
Fix val.py Ensemble() (#7490) 2022-04-19 21:15:04 -07:00
Jirka Borovec c3d5ac151e
precommit: yapf (#5494) 
* precommit: yapf

* align isort

* fix

# Conflicts:
#	utils/plots.py

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* Update setup.cfg

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* Update setup.cfg

* Update setup.cfg

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* Update wandb_utils.py

* Update augmentations.py

* Update setup.cfg

* Update yolo.py

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* Update val.py

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* simplify colorstr

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* val run fix

* export.py last comma

* Update export.py

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* Update hubconf.py

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* PyTorch Hub tuple fix

* PyTorch Hub tuple fix2

* PyTorch Hub tuple fix3

* Update setup

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>
 2022-03-31 16:52:34 +02:00
Glenn Jocher 2d45de617e
Model `ema` key backward compatibility fix (#6972) 
Fix for older model loading issue in d3d9cbce22 (commitcomment-68622388)
 2022-03-14 10:54:51 +01:00
Glenn Jocher 055e72af5b
Optimize PyTorch 1.11.0 compatibility update (#6933) 2022-03-10 12:58:41 +01:00
Glenn Jocher d3d9cbce22
PyTorch 1.11.0 compatibility updates (#6932) 
Resolves `AttributeError: 'Upsample' object has no attribute 'recompute_scale_factor'` first raised in https://github.com/ultralytics/yolov5/issues/5499
 2022-03-10 12:41:06 +01:00
Jirka Borovec 0155548384
precommit: isort (#5493) 
* precommit: isort

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* Update isort config

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* Update name

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>
 2021-11-04 17:24:25 +01:00
Glenn Jocher 5866646cc8
Fix float zeros format (#5491) 
* Fix float zeros format

* 255 to integer
 2021-11-03 23:36:53 +01:00
Glenn Jocher 5d4258fac5
Fix MixConv2d() remove shortcut + apply depthwise (#5410) 2021-10-30 13:38:51 +02:00
Jirka Borovec 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
Jebastin Nadar 9d75e42f98
Refactor `Detect()` anchors for ONNX <> OpenCV DNN compatibility (#4833) 
* refactor anchors and anchor_grid in Detect Layer

* fix CI failures by adding compatibility

* fix tf failure

* fix different devices errors

* Cleanup

* fix anchors overwriting issue

* better refactoring

* Remove self.anchor_grid shape check (redundant with self.grid check)

Also PEP8 / 120 line width

* Convert _make_grid() from static to dynamic method

* Remove anchor_grid.to(device)

clone() should already clone to same device as self.anchors

* fix different devices error

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2021-10-11 09:58:42 -07:00
Jiacong Fang 808bcad3bb
Add TensorFlow and TFLite export (#1127) 
* Add models/tf.py for TensorFlow and TFLite export

* Set auto=False for int8 calibration

* Update requirements.txt for TensorFlow and TFLite export

* Read anchors directly from PyTorch weights

* Add --tf-nms to append NMS in TensorFlow SavedModel and GraphDef export

* Remove check_anchor_order, check_file, set_logging from import

* Reformat code and optimize imports

* Autodownload model and check cfg

* update --source path, img-size to 320, single output

* Adjust representative_dataset

* Put representative dataset in tfl_int8 block

* detect.py TF inference

* weights to string

* weights to string

* cleanup tf.py

* Add --dynamic-batch-size

* Add xywh normalization to reduce calibration error

* Update requirements.txt

TensorFlow 2.3.1 -> 2.4.0 to avoid int8 quantization error

* Fix imports

Move C3 from models.experimental to models.common

* Add models/tf.py for TensorFlow and TFLite export

* Set auto=False for int8 calibration

* Update requirements.txt for TensorFlow and TFLite export

* Read anchors directly from PyTorch weights

* Add --tf-nms to append NMS in TensorFlow SavedModel and GraphDef export

* Remove check_anchor_order, check_file, set_logging from import

* Reformat code and optimize imports

* Autodownload model and check cfg

* update --source path, img-size to 320, single output

* Adjust representative_dataset

* detect.py TF inference

* Put representative dataset in tfl_int8 block

* weights to string

* weights to string

* cleanup tf.py

* Add --dynamic-batch-size

* Add xywh normalization to reduce calibration error

* Update requirements.txt

TensorFlow 2.3.1 -> 2.4.0 to avoid int8 quantization error

* Fix imports

Move C3 from models.experimental to models.common

* implement C3() and SiLU()

* Fix reshape dim to support dynamic batching

* Add epsilon argument in tf_BN, which is different between TF and PT

* Set stride to None if not using PyTorch, and do not warmup without PyTorch

* Add list support in check_img_size()

* Add list input support in detect.py

* sys.path.append('./') to run from yolov5/

* Add int8 quantization support for TensorFlow 2.5

* Add get_coco128.sh

* Remove --no-tfl-detect in models/tf.py (Use tf-android-tfl-detect branch for EdgeTPU)

* Update requirements.txt

* Replace torch.load() with attempt_load()

* Update requirements.txt

* Add --tf-raw-resize to set half_pixel_centers=False

* Add --agnostic-nms for TF class-agnostic NMS

* Cleanup after merge

* Cleanup2 after merge

* Cleanup3 after merge

* Add tf.py docstring with credit and usage

* pb saved_model and tflite use only one model in detect.py

* Add use cases in docstring of tf.py

* Remove redundant `stride` definition

* Remove keras direct import

* Fix `check_requirements(('tensorflow>=2.4.1',))`

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2021-08-17 13:18:16 +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 4e8c81a368
Add `yolov5s-ghost.yaml` (#4412) 
* Add yolov5s-ghost.yaml

* Finish C3Ghost

* Add C3Ghost to list

* Add C3Ghost to number of repeats if statement

* Fixes

* Cleanup
 2021-08-14 12:55:22 +02:00
Glenn Jocher 587c4b4b81
Add `DWConvClass()` (#4274) 
* Add `DWConvClass()`

* Cleanup

* Cleanup2
 2021-08-02 15:36:30 +02:00
Glenn Jocher 5d66e48723
Train from `--data path/to/dataset.zip` feature (#4185) 
* Train from `--data path/to/dataset.zip` feature

* Update dataset_stats()

* cleanup

* cleanup2
 2021-07-28 02:04:10 +02:00
Glenn Jocher b1be685005
Module `super().__init__()` (#4065) 
* Module `super().__init__()`

* remove NMS
 2021-07-19 12:41:15 +02:00
KEN 647223a7a8
`Ensemble()` visualize fix (#3973) 
* fix visualize error

* Revert "fix visualize error"

* add visualise profile
 2021-07-11 19:47:08 +02:00
Glenn Jocher 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 251aeafcb1
Update P5 + P6 model ensembling (#3082) 2021-05-08 19:06:12 +02:00
jluntamazon 41f5cc5637
YOLOv5 AWS Inferentia Inplace compatibility updates (#2953) 
* Added flag to enable/disable all inplace and assignment operations

* Removed shape print statements

* Scope Detect/Model import to avoid circular dependency

* PEP8

* create _descale_pred()

* replace lost space

* replace list with tuple

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2021-04-30 12:54:48 +02:00
Glenn Jocher a57f23d18b
Update detections() self.t = tuple() (#2617) 
* Update detections() self.t = tuple()

Fix multiple results.print() bug.

* Update experimental.py

* Update yolo.py
 2021-03-26 13:23:11 +01:00
Glenn Jocher fab5085674
EMA bug fix 2 (#2330) 
* EMA bug fix 2

* update
 2021-03-01 17:13:34 -08:00
Glenn Jocher 6bfa9c2422
GhostConv update (#2082) 2021-01-29 11:25:01 -08:00
lorne 03ebe6ea14
Add nn.SiLU inplace in attempt_load() (#1940) 
* sleep 3 sec to load data .

* Update train.py

* Add nn.SiLU inplace in attempt_load()

Co-authored-by: wangliang <wangliang@codingapi.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2021-01-15 09:58:41 -08:00
Glenn Jocher 69be8e738f
YOLOv5 v4.0 Release (#1837) 
* Update C3 module

* Update C3 module

* Update C3 module

* Update C3 module

* update

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* update attempt_downlaod()

* merge

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* parameterize eps

* comments

* gs-multiple

* update

* max_nms implemented

* Create one_cycle() function

* update

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* update study.png

* update study.png

* Update datasets.py
 2021-01-04 19:54:09 -08:00
Glenn Jocher 799724108f
Update C3 module (#1705) 2020-12-15 22:13:08 -08:00
Glenn Jocher c8c5ef36c9
PyTorch 1.7.0 Compatibility Updates (#1233) 
* torch 1.7.0 compatibility updates

* add inference verification
 2020-10-28 15:03:50 +01:00
Yi_Zhang f532bc68a9
GhostConv() bug fix (#1176) 2020-10-20 13:42:11 +02:00
Jirka Borovec d5b6416c87
Explicit Imports (#498) 
* expand imports

* optimize

* miss

* fix
 2020-08-02 15:47:36 -07:00
Glenn Jocher 16f6834486 update train.py and experimental.py 2020-07-08 14:23:34 -07:00
Glenn Jocher e8cf24b6c8 Initial model ensemble capability #318 2020-07-07 15:40:50 -07:00
Glenn Jocher 5ba1de0cdc update experimental.py with Ensemble() module 2020-07-05 15:02:56 -07:00
Glenn Jocher 655895a838 module updates 2020-07-03 13:46:12 -07:00
Glenn Jocher b5659d1195 module updates 2020-07-01 11:44:49 -07:00
Glenn Jocher a814720403 PyTorch Hub updates 2020-06-10 19:11:11 -07:00
Glenn Jocher 1e84a23f38 initial commit 2020-05-29 17:04:54 -07:00