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
9c31a66f5d
Update `AutoShape.forward()` model.classes example ( #5324 )
2021-10-25 14:03:25 +02:00
34da872ab6
fix `tf` conversion in new v6 models ( #5153 )
...
* fix `tf` conversion in new v6 (#5147 )
* sort imports
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-10-12 08:38:54 -07:00
956be8e642
YOLOv5 release v6.0 ( #5141 )
...
* Update P5 models
* Update P6 models
* Update with GFLOPs and Params
* Update with GFLOPs and Params
* Update README
* Update
* Update README
* Update
* Update
* Add times
* Update README
* Update results
* Update results
* Update results
* Update hyps
* Update plots
* Update plots
* Update README.md
* Add nano models to hubconf.py
2021-10-11 23:47:18 -07:00
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
a0e15046c3
Fix different devices bug when moving model from GPU to CPU ( #5110 )
...
* fix different devices bug
* extend _apply() instead of to() for a general fix
* Only apply if Detect() is last layer
Co-authored-by: Jebastin Nadar <njebastin10@gmail.com>
* Indent fix
* Add comment to yolo.py
* Add comment to common.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-10-10 14:24:05 -07:00
070af88108
Fix `yaml.safe_load()` ignore emoji errors ( #5060 )
2021-10-05 13:41:52 -07:00
d133968b1e
Clip TTA Augmented Tails ( #5028 )
...
* Clip TTA Augmented Tails
Experimental TTA update.
* Update yolo.py
* Update yolo.py
* Update yolo.py
* Update yolo.py
2021-10-04 15:48:55 -07:00
1922ddeac0
Fix pylint: do not use bare 'except' ( #5025 )
...
* Fix E722, do not use bare 'except'
* Remove used codes
* Add FileNotFoundError in LoadImagesAndLabels
* Remove AssertionError
* Ignore LoadImagesAndLabels
* Ignore downloads.py
* Ignore torch_utils.py
* Ignore train.py
* Ignore datasets.py
* Enable utils/download.py
* Fixing exception in thop
* Remove unused code
* Fixing exception in LoadImagesAndLabels
* Fixing exception in exif_size
* Fixing exception in parse_model
* Ignore exceptions in requests
* Revert the exception as suggested
* Revert the exception as suggested
2021-10-03 17:54:40 -07:00
fb982d6030
Fix relative `ROOT` Pytorch Hub custom model bug ( #4974 )
...
* Fix relative `ROOT` Pytorch Hub custom model bug
* Update yolo.py
2021-09-28 06:36:12 -07:00
5ed28603cf
Update relative `ROOT` logic ( #4955 )
...
* Update relative `ROOT` logic
* python 3.9 Path().is_relative_to() removal
2021-09-27 18:26:41 -07:00
a820b43aca
Automatic Chinese fonts plotting ( #4951 )
...
* Automatic Chinese fonts plotting
* Default PIL=False
2021-09-27 13:48:15 -07:00
2c2ef25f8b
TensorFlow.js export enhancements ( #4905 )
...
* Add arguments to TensorFlow NMS call
* Add regex substitution to reorder Identity_*
* Delete reorder in docstring
* Cleanup
* Cleanup2
* Removed `+ \` on string ends (not needed)
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-09-24 14:18:15 -07:00
4d1a2ac87e
Update `sys.path.append(str(ROOT))` ( #4852 )
...
* Update `sys.path.append(str(ROOT))`
* Cleanup
2021-09-18 15:02:08 +02:00
3732f9ac8a
Refactor argparser printing to `print_args()` ( #4850 )
...
* Refactor argparser printing to `print_args()`
* Cleanup
2021-09-18 14:16:19 +02:00
3beb871ba4
Multiple TF export improvements ( #4824 )
...
* Add fused conv support
* Set all saved_model values to non trainable
* Fix TFLite fp16 model export
* Fix int8 TFLite conversion
2021-09-16 15:27:22 +02:00
0dc725e3dc
Refactor `forward()` method profiling ( #4816 )
2021-09-16 09:47:34 +02:00
c3a93d783d
Add TensorFlow formats to `export.py` ( #4479 )
...
* Initial commit
* Remove unused export_torchscript return
* ROOT variable
* Add prefix to fcn arg
* fix ROOT
* check_yaml into run()
* interim fixes
* imgsz=(320, 320)
* Hardcode tf_raw_resize False
* Finish opt elimination
* Update representative_dataset_gen()
* Update export.py with TF methods
* SiLU and GraphDef fixes
* file_size() directory handling feature
* export fixes
* add lambda: to representative_dataset
* Detect training False default
* Fuse false for TF models
* Embed agnostic NMS arguments
* Remove lambda
* TensorFlow.js export success
* Add pb to Usage
* Add *_tfjs_model/ to ignore files
* prepend YOLOv5 to function headers
* Remove end --- comments
* parameterize tfjs export pb file
* update run() data default /ROOT
* update --include help
* update imports
* return ct_model
* Consolidate TFLite export
* pb prerequisite to tfjs
* TF modules CamelCase
* Remove exports from tf.py and cleanup
* pass agnostic NMS arguments
* CI
* CI
* ignore *_web_model/
* Add tensorflow to CI dependencies
* CI tensorflow-cpu
* Update requirements.txt
* Remove tensorflow check_requirement
* CI coreml tfjs
* export only onnx torchscript
* reorder exports torchscript first
2021-09-12 15:52:24 +02:00
c47be26f34
Replace `path.absolute()` with `path.resolve()` ( #4763 )
2021-09-11 22:46:33 +02:00
1cad0ce2c7
Allow `multi_label` option for NMS with PyTorch Hub ( #4728 )
...
* Allow specifying multi_label option for NMS when using torch hub
* Reformat
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-09-09 15:32:04 +02:00
0d8a184237
Add `crops = results.crops()` dictionary ( #4676 )
...
* adding get cropped functionality
* Add target logic in existing functions
* Crops cleanup
* Add dictionary keys: conf, cls, box
* Bug fixes - avoid return after first image
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-09-08 19:42:28 +02:00
a2b3c71636
Add suffix checks ( #4711 )
...
* Add suffix checks
* Cleanup
* Cleanup2
* Cleanup3
2021-09-08 14:36:12 +02:00
35fe031461
Fix: add P2 layer 21 to yolov5-p2.yaml `Detect()` inputs ( #4608 )
...
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 )
...
* 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 )
...
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 )
...
* 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 )
...
* Add `SPPF()` layer
* Cleanup
* Add credit
2021-08-15 14:28:35 +02:00
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
2da4e7acf7
Merge PIL and OpenCV in `plot_one_box(use_pil=False)` ( #4416 )
...
* 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 )
...
* 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 )
...
Co-authored-by: yangyuantao <yangyuantao@transai.cn>
2021-08-11 17:38:34 +02:00
e96c74b5a1
Simpler code for DWConvClass ( #4310 )
...
* 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 )
...
* 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 )
...
* 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 )
...
* 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 )
...
* Module `super().__init__()`
* remove NMS
2021-07-19 12:41:15 +02:00
f7d8562060
`val.py` refactor ( #4053 )
...
* 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 )
...
* 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 )
...
* `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 )
...
* 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 )
...
Fix inference from PIL source.
2021-07-07 16:13:12 +02:00
87b094bcbc
Feature visualization update ( #3920 )
...
* Feature visualization update
* Save to jpg (faster)
* Save to png
2021-07-07 15:41:58 +02:00
3c3f8fbd5d
Improved BGR2RGB speeds ( #3880 )
...
* 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 )
...
* 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 )
...
* 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 )
...
* 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 )
...
* 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 )
...
* 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 )
...
* Refactor models/export.py arguments
* cleanup
* cleanup
2021-06-09 22:43:46 +02:00
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#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 )
...
* 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 )
...
* 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 )
...
* 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
e97d129db4
Update export.py with --train mode argument ( #3066 )
2021-05-07 13:10:07 +02:00
3ef3a95cfa
Do not optimize CoreML TorchScript model ( #3055 )
2021-05-06 17:23:33 +02:00
b292837e36
Fix ONNX export using --grid --simplify --dynamic simultaneously ( #2982 )
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* Update yolo.py
* Update export.py
* fix export grid
* Update export.py, remove detect export attribute
* rearrange if order
* remove --grid, default inplace=False
* rename exp_dynamic to onnx_dynamic, comment
* replace bs with 1 in anchor_grid[i] index 0
* Update export.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-05-03 19:01:29 +02:00
e2a80c6c0f
Add support for FP16 (half) to export.py ( #3010 )
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* Added support for fp16 (half) to export.py
* minimize code additions
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-05-02 22:42:33 +02:00
41f5cc5637
YOLOv5 AWS Inferentia Inplace compatibility updates ( #2953 )
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* 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
57812df68c
New Colors() class ( #2963 )
2021-04-28 16:05:14 +02:00
4200674a13
Add yolov5/ to sys.path() for *.py subdir exec ( #2949 )
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* Add yolov5/ to sys.path() for *.py subdir exec
* Update export.py
2021-04-27 17:02:07 +02:00
4890499344
Improved yolo.py profiling ( #2940 )
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* Improved yolo.py profiling
Improved column order and labelling.
* Update yolo.py
2021-04-26 23:58:21 +02:00
c0d3f80544
Add verbose option to pytorch hub models ( #2926 )
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* Add verbose and update print to logging
* Fix positonal param
* Revert auto formatting changes
* Update hubconf.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-04-25 22:01:05 +02:00
1b1ab4cca2
Add file_size() function ( #2911 )
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* Add file_size() function
* Update export.py
2021-04-24 01:31:11 +02:00
646386ff09
Update export.py for 2 dry runs ( #2910 )
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* Update export.py for 2 dry runs
* Update export.py
2021-04-24 00:10:38 +02:00
a2a514dec8
Update export.py ( #2909 )
2021-04-23 23:50:02 +02:00
28db237639
Default optimize_for_mobile() on TorchScript models ( #2908 )
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Per https://pytorch.org/tutorials/recipes/script_optimized.html this should improve performance on torchscript models (and maybe coreml models also since coremltools operates on a torchscript model input, though this still requires testing).
2021-04-23 21:21:58 +02:00
cdb678f418
Update yolo.py ( #2899 )
2021-04-22 19:27:21 +02:00
f7bc685c2c
Implement yaml.safe_load() ( #2876 )
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* Implement yaml.safe_load()
* yaml.safe_dump()
2021-04-21 14:34:45 +02:00
c949fc86d1
Detection cropping+saving feature addition for detect.py and PyTorch Hub ( #2827 )
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* Update detect.py
* Update detect.py
* Update greetings.yml
* Update cropping
* cleanup
* Update increment_path()
* Update common.py
* Update detect.py
* Update detect.py
* Update detect.py
* Update common.py
* cleanup
* Update detect.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-04-20 23:51:08 +02:00
1df8c6c963
Fix ONNX dynamic axes export support with onnx simplifier, make onnx simplifier optional ( #2856 )
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* Ensure dynamic export works succesfully, onnx simplifier optional
* Update export.py
* add dashes
Co-authored-by: Tim <tim.stokman@hal24k.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-04-20 13:54:03 +02:00
c15e25c40f
PyTorch Hub cv2 .save() .show() bug fix ( #2831 )
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* PyTorch Hub cv2 .save() .show() bug fix
cv2.rectangle() was failing on non-contiguous np array inputs. This checks for contiguous arrays and applies is necessary:
```python
imgs[i] = im if im.data.contiguous else np.ascontiguousarray(im) # update
```
* Update plots.py
```python
assert im.data.contiguous, 'Image not contiguous. Apply np.ascontiguousarray(im) to plot_on_box() input image.'
```
* Update hubconf.py
Expand CI tests to OpenCV image.
2021-04-18 13:47:40 +02:00
1f3e482bce
ONNX Simplifier ( #2815 )
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* ONNX Simplifier
Add ONNX Simplifier to ONNX export pipeline in export.py. Will auto-install onnx-simplifier if onnx is installed but onnx-simplifier is not.
* Update general.py
2021-04-16 14:03:27 +02:00
0f395b3e3b
YOLOv5 v5.0 Release patch 1 ( #2764 )
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* torch.jit.trace(model, img, strict=False)
* Update check_file()
* Update hubconf.py
* Update README.md
2021-04-11 23:11:43 +02:00
b5de52c4cd
torch.cuda.amp bug fix ( #2750 )
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PR https://github.com/ultralytics/yolov5/pull/2725 introduced a very specific bug that only affects multi-GPU trainings. Apparently the cause was using the torch.cuda.amp decorator in the autoShape forward method. I've implemented amp more traditionally in this PR, and the bug is resolved.
2021-04-09 18:19:49 +02:00
fca5e2a48f
autocast enable=torch.cuda.is_available() ( #2748 )
2021-04-09 13:34:49 +02:00
c03d590320
Add Hub results.pandas() method ( #2725 )
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* Add Hub results.pandas() method
New method converts results from torch tensors to pandas DataFrames with column names.
This PR may partially resolve issue https://github.com/ultralytics/yolov5/issues/2703
```python
results = model(imgs)
print(results.pandas().xyxy[0])
xmin ymin xmax ymax confidence class name
0 57.068970 391.770599 241.383545 905.797852 0.868964 0 person
1 667.661255 399.303589 810.000000 881.396667 0.851888 0 person
2 222.878387 414.774231 343.804474 857.825073 0.838376 0 person
3 4.205386 234.447678 803.739136 750.023376 0.658006 5 bus
4 0.000000 550.596008 76.681190 878.669922 0.450596 0 person
```
* Update comments
torch example input now shown resized to size=640 and also now a multiple of P6 stride 64 (see https://github.com/ultralytics/yolov5/issues/2722#issuecomment-814785930 )
* apply decorators
* PEP8
* Update common.py
* pd.options.display.max_columns = 10
* Update common.py
2021-04-07 16:28:07 +02:00
ec8979f1d2
Updated filename attributes for YOLOv5 Hub BytesIO ( #2718 )
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Fix 2 for 'Model predict with forward will fail if PIL image does not have filename attribute' #2702
2021-04-06 13:18:56 +02:00
74276d5189
Updated filename attributes for YOLOv5 Hub results ( #2708 )
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Proposed fix for 'Model predict with forward will fail if PIL image does not have filename attribute' #2702
2021-04-05 22:20:09 +02:00
17300a4c7b
autoShape forward im = np.asarray(im) # to numpy ( #2689 )
...
Slight speedup.
2021-04-02 12:36:38 +02:00
2af059c0d8
PyTorch Hub model.save() increment as runs/hub/exp ( #2684 )
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* PyTorch Hub model.save() increment as runs/hub/exp
This chane will align PyTorch Hub results saving with the existing unified results saving directory structure of
runs/
/train
/detect
/test
/hub
/exp
/exp2
...
* cleanup
2021-04-02 11:55:10 +02:00
1148e2ea63
Add TransformerLayer, TransformerBlock, C3TR modules ( #2333 )
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* yolotr
* transformer block
* Remove bias in Transformer
* Remove C3T
* Remove a deprecated class
* put the 2nd LayerNorm into the 2nd residual block
* move example model to models/hub, rename to -transformer
* Add module comments and TODOs
* Remove LN in Transformer
* Add comments for Transformer
* Solve the problem of MA with DDP
* cleanup
* cleanup find_unused_parameters
* PEP8 reformat
Co-authored-by: DingYiwei <846414640@qq.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-04-01 17:26:53 +02:00
Jirka Borovec
Glenn Jocher
Yoni Chechik
Jebastin Nadar
Zhiqiang Wang
Jiacong Fang
Jean-Baptiste Martin
ELHoussineT
Yukun Xia
Yuantao Yang
Yonghye Kwon
KEN
jmiranda-laplateforme
Valentin Aliferov
Zigarss
lb-desupervised
WangChaofeng
Adrian Holovaty
Cristi Fati
jylink
Hodovo
jluntamazon
NanoCode012
Burhan
Tim Stokman
Ding Yiwei