35fe031461
Fix: add P2 layer 21 to yolov5-p2.yaml `Detect()` inputs ( #4608 )
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Layer 21 includes the information of xsmall objects
2021-08-30 15:46:33 +02:00
e5e5ebc799
Auto-UTF handling ( #4594 )
2021-08-29 17:15:18 +02:00
de44376d1b
Create `Annotator()` class ( #4591 )
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* Add Annotator() class
* Download Arial
* 2x for loop
* Cleanup
* tuple 2 list
* max_size=1920
* bold logging results to
* tolist()
* im = annotator.im
* PIL save in detect.py
* Smart asarray in detect.py
* revert to cv2.imwrite
* Cleanup
* Return result asarray
* Add `Profile()` profiler
* CamelCase Timeout
* Resize after mosaic
* pillow>=8.0.0
* daemon imwrite
* Add cv2 support
* Remove plot_wh_methods and plot_one_box
* pil=False for hubconf.py annotations
* im.shape bug fix
* colorstr common.py
* join daemons
* Update t.daemon
* Removed daemon saving
2021-08-29 16:46:13 +02:00
2da6444c92
Fix for `python models/yolo.py --profile` ( #4541 )
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Profiling fix copies input to Detect layer to circumvent inplace changes to the feature maps.
2021-08-25 21:23:28 +02:00
808bcad3bb
Add TensorFlow and TFLite export ( #1127 )
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* 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
01cdb7671b
Add `SPPF()` layer ( #4420 )
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* Add `SPPF()` layer
* Cleanup
* Add credit
2021-08-15 14:28:35 +02:00
24bea5e4b7
Standardize headers and docstrings ( #4417 )
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* Implement new headers
* Reformat 1
* Reformat 2
* Reformat 3 - math
* Reformat 4 - yaml
2021-08-14 21:17:51 +02:00
2da4e7acf7
Merge PIL and OpenCV in `plot_one_box(use_pil=False)` ( #4416 )
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* Merge PIL and OpenCV box plotting functions
* Add ASCII check to plot_one_box
* Cleanup
* Cleanup2
2021-08-14 17:44:15 +02:00
4e8c81a368
Add `yolov5s-ghost.yaml` ( #4412 )
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* 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
e7fc27406a
Fix module count in parse_model ( #4379 )
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Co-authored-by: yangyuantao <yangyuantao@transai.cn>
2021-08-11 17:38:34 +02:00
e96c74b5a1
Simpler code for DWConvClass ( #4310 )
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* more simpler code for DWConvClass
more simpler code for DWConvClass
* remove DWConv function
* Replace DWConvClass with DWConv
2021-08-05 10:54:16 +02:00
587c4b4b81
Add `DWConvClass()` ( #4274 )
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* Add `DWConvClass()`
* Cleanup
* Cleanup2
2021-08-02 15:36:30 +02:00
9c6732f61c
Update variables ( #4273 )
2021-08-02 15:13:55 +02:00
306fc0119a
Update Autoshape forward header ( #4271 )
2021-08-02 12:42:23 +02:00
18f6ba77cf
Suppress torch 1.9.0 max_pool2d() warning ( #4227 )
2021-07-30 00:37:55 +02:00
b60b62e874
PyCharm reformat ( #4209 )
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* PyCharm reformat
* YAML reformat
* Markdown reformat
2021-07-28 23:35:14 +02:00
e016b15555
Update yolov5-bifpn.yaml ( #4208 )
2021-07-28 21:25:20 +02:00
2683b18079
Update Hub Path inputs ( #4200 )
2021-07-28 16:55:39 +02:00
1f31b7c503
Create yolov5-bifpn.yaml ( #4195 )
2021-07-28 15:04:30 +02:00
5d66e48723
Train from `--data path/to/dataset.zip` feature ( #4185 )
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* Train from `--data path/to/dataset.zip` feature
* Update dataset_stats()
* cleanup
* cleanup2
2021-07-28 02:04:10 +02:00
b1be685005
Module `super().__init__()` ( #4065 )
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* Module `super().__init__()`
* remove NMS
2021-07-19 12:41:15 +02:00
f7d8562060
`val.py` refactor ( #4053 )
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* val.py refactor
* cleanup
* cleanup
* cleanup
* cleanup
* save after eval
* opt.imgsz bug fix
* wandb refactor
* dataloader to train_loader
* capitalize global variables
* runs/hub/exp to runs/detect/exp
* refactor wandb logging
* Refactor wandb operations (#4061 )
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
2021-07-19 10:43:01 +02:00
9dd33fd20f
AutoShape PosixPath support ( #4047 )
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* AutoShape PosixPath support
Usage example:
````python
from pathlib import Path
model = ...
file = Path('data/images/zidane.jpg')
results = model(file)
```
* Update common.py
2021-07-18 15:25:37 +02:00
720aaa65c8
Rename `test.py` to `val.py` ( #4000 )
2021-07-14 15:43:54 +02:00
d204a61834
Alert (no detections) ( #3984 )
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* `Detections()` class `print()` overload
* Update common.py
2021-07-12 19:48:47 +02:00
b3dabdcc38
Update `probability` to `p` ( #3980 )
2021-07-12 15:54:43 +02:00
647223a7a8
`Ensemble()` visualize fix ( #3973 )
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* fix visualize error
* Revert "fix visualize error"
* add visualise profile
2021-07-11 19:47:08 +02:00
588094eb7a
Update `setattr()` default for Hub PIL images ( #3923 )
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Fix inference from PIL source.
2021-07-07 16:13:12 +02:00
87b094bcbc
Feature visualization update ( #3920 )
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* Feature visualization update
* Save to jpg (faster)
* Save to png
2021-07-07 15:41:58 +02:00
3c3f8fbd5d
Improved BGR2RGB speeds ( #3880 )
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* Update BGR2RGB ops
* speed improvements
* cleanup
2021-07-04 20:12:32 +02:00
81b31824f5
Models `*.yaml` reformat ( #3875 )
2021-07-04 16:55:08 +02:00
831773f5a2
Add EXIF rotation to YOLOv5 Hub inference ( #3852 )
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* rotating an image according to its exif tag
* Update common.py
* Update datasets.py
* Update datasets.py
faster
* delete extraneous gpg file
* Update common.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-07-02 13:25:54 +02:00
25d1f2932c
Plot `AutoShape()` detections in ascending order ( #3843 )
2021-06-30 15:10:40 +02:00
57c5d02bbe
Concise `TransformerBlock()` ( #3821 )
2021-06-29 16:03:10 +02:00
20d45aa4f1
Add feature map visualization ( #3804 )
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* Add feature map visualization
Add a feature_visualization function to visualize the mid feature map of the model.
* Update yolo.py
* remove boolean from forward and reorder if statement
* remove print from forward
* General cleanup
* Indent
* Update plots.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-06-28 13:18:45 +02:00
1f69d12591
Update 4 main ops for paths and .run() ( #3715 )
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* 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
fad27c0046
Update DDP for `torch.distributed.run` with `gloo` backend ( #3680 )
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* Update DDP for `torch.distributed.run`
* Add LOCAL_RANK
* remove opt.local_rank
* backend="gloo|nccl"
* print
* print
* debug
* debug
* os.getenv
* gloo
* gloo
* gloo
* cleanup
* fix getenv
* cleanup
* cleanup destroy
* try nccl
* return opt
* add --local_rank
* add timeout
* add init_method
* gloo
* move destroy
* move destroy
* move print(opt) under if RANK
* destroy only RANK 0
* move destroy inside train()
* restore destroy outside train()
* update print(opt)
* cleanup
* nccl
* gloo with 60 second timeout
* update namespace printing
2021-06-19 16:30:25 +02:00
bfb2276b1d
Slightly modify CLI execution ( #3687 )
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* Slightly modify CLI execution
This simple change makes it easier to run the primary functions of this
repo (train/detect/test) from within Python. An object which represents
`opt` can be constructed and fed to the `main` function of each of these
modules, rather than having to call the lower level functions directly,
or run the module as a script.
* Update export.py
Add CLI parsing update for more convenient module usage within Python.
Co-authored-by: Lewis Belcher <lb@desupervised.io>
2021-06-19 12:06:59 +02:00
53ed872c28
Update export.py, yolo.py `sys.path.append()` ( #3579 )
2021-06-10 15:35:22 +02:00
0e5cfdbea7
Refactor models/export.py arguments ( #3564 )
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* Refactor models/export.py arguments
* cleanup
* cleanup
2021-06-09 22:43:46 +02:00
f3c3d2ce5d
Merge `develop` branch into `master` ( #3518 )
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* 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#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
ef4d53818d
ONNX export in .train() mode fix ( #3362 )
2021-05-27 14:10:14 +02:00
1f8d716ec9
yolo.py header ( #3347 )
2021-05-26 12:06:08 +02:00
7b36e38cf8
Check CoreML models.train() mode ( #3262 )
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* Check CoreML models.train() mode
* Update export.py
2021-05-20 15:22:36 +02:00
3f74cd9ed1
Parameterize max_det + inference default at 1000 ( #3215 )
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* Added max_det parameters in various places
* 120 character line
* PEP8
* 120 character line
* Update inference default to 1000 instances
* Update inference default to 1000 instances
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-05-17 22:47:44 +02:00
9ab561dbfc
Parameterize ONNX `--opset-version` ( #3154 )
2021-05-16 16:13:03 +02:00
be86c21c73
rename class autoShape -> AutoShape ( #3173 )
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* rename class autoShape -> AutoShape
follow other class naming convention
* rename class autoShape -> AutoShape
follow other classes' naming convention
* rename class autoShape -> AutoShape
2021-05-16 15:46:45 +02:00
d9b4e6b748
Add `--include torchscript onnx coreml` argument ( #3137 )
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* Allow users to skip exporting in formats that they don't care about
* Correct comments
* Update export.py
renamed --skip-format to --exclude
* Switched format from exclude to include (as instructed by @glenn-jocher)
* cleanup
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-05-12 19:46:32 +02:00
525f4f86a9
Add --optimize argument ( #3093 )
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Fix for c++ runtime errors in https://github.com/ultralytics/yolov5/issues/2973
2021-05-10 12:13:44 +02:00
251aeafcb1
Update P5 + P6 model ensembling ( #3082 )
2021-05-08 19:06:12 +02:00
Yukun Xia
Glenn Jocher
Jiacong Fang
Yuantao Yang
Yonghye Kwon
KEN
jmiranda-laplateforme
Valentin Aliferov
Zigarss
lb-desupervised
WangChaofeng
Adrian Holovaty
Cristi Fati