Glenn Jocher
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
Glenn Jocher
f5b8f7d54c
YOLOv5 v5.0 Release ( #2762 )
2021-04-11 19:23:47 +02:00
Ben Milanko
e2b7bc0b32
YouTube Livestream Detection ( #2752 )
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* Youtube livestream detection
* dependancy update to auto install pafy
* Remove print
* include youtube_dl in deps
* PEP8 reformat
* youtube url check fix
* reduce lines
* add comment
* update check_requirements
* stream framerate fix
* Update README.md
* cleanup
* PEP8
* remove cap.retrieve() failure code
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-04-11 18:53:40 +02:00
Glenn Jocher
0cae7576a9
utils/wandb_logging PEP8 reformat ( #2755 )
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* wandb_logging PEP8 reformat
* Update wandb_utils.py
2021-04-10 21:09:23 +02:00
Glenn Jocher
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
Ayush Chaurasia
3067429307
Add support for list-of-directory data format for wandb ( #2719 )
2021-04-06 16:57:13 +02:00
Ayush Chaurasia
514ebcdf33
Fix : #2674 ( #2683 )
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* Set resume flag to false
* Check existance of val dataset
2021-04-02 11:54:50 +02:00
Ayush Chaurasia
2a28ef374b
Set resume flag to false ( #2657 )
2021-03-31 13:47:54 +02:00
Phat Tran
9c803f2f7e
Add --label-smoothing eps argument to train.py (default 0.0) ( #2344 )
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* Add label smoothing option
* Correct data type
* add_log
* Remove log
* Add log
* Update loss.py
remove comment (too versbose)
Co-authored-by: phattran <phat.tranhoang@cyberlogitec.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-03-29 18:45:46 +02:00
Glenn Jocher
866bc7d640
Speed profiling improvements ( #2648 )
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* Speed profiling improvements
* Update torch_utils.py
deepcopy() required to avoid adding elements to model.
* Update torch_utils.py
2021-03-29 15:19:07 +02:00
zzttqu
1e8ab3f5f2
Add tqdm pbar.close() ( #2644 )
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When using tqdm, sometimes it can't print in one line and roll to next line.
2021-03-29 12:21:25 +02:00
Glenn Jocher
2e95cf3d79
Improve git_describe() fix 1 ( #2635 )
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Add stderr=subprocess.STDOUT to catch error messages.
2021-03-28 17:09:06 +02:00
Ayush Chaurasia
518c09578e
W&B resume ddp from run link fix ( #2579 )
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* W&B resume ddp from run link fix
* Native DDP W&B support for training, resuming
2021-03-28 16:11:36 +02:00
Glenn Jocher
6e8c5b7678
Improve git_describe() ( #2633 )
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Catch 'fatal: not a git repository' returns and return '' instead (observed in GCP Hub checks).
2021-03-28 15:39:31 +02:00
Glenn Jocher
0ff5aeca61
Create date_modified() ( #2616 )
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Updated device selection string with fallback for non-git directories.
```python
def select_device(device='', batch_size=None):
# device = 'cpu' or '0' or '0,1,2,3'
s = f'YOLOv5 🚀 {git_describe() or date_modified()} torch {torch.__version__} ' # string
...
```
2021-03-26 12:52:47 +01:00
maxupp
196bf10603
Add '*.mpo' to supported image formats ( #2615 )
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Co-authored-by: Max Uppenkamp <max.uppenkamp@inform-software.com>
2021-03-26 12:45:22 +01:00
Glenn Jocher
77415a42e5
Update git_describe() for remote dir usage ( #2606 )
2021-03-26 01:44:00 +01:00
Glenn Jocher
3bb414890a
resume.py typo ( #2603 )
2021-03-25 20:55:20 +01:00
Glenn Jocher
d4456e43b2
Update segment2box() comment ( #2600 )
2021-03-25 15:12:49 +01:00
Glenn Jocher
333ccc5b0f
YOLOv5 PyTorch Hub models >> check_requirements() ( #2592 )
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Improved user-feedback following requirements auto-update.
2021-03-24 17:51:39 +01:00
Glenn Jocher
75feeb797c
YOLOv5 PyTorch Hub models >> check_requirements() ( #2591 )
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Prints 'Please restart runtime or rerun command for update to take effect.' following package auto-install to inform users to restart/rerun.
2021-03-24 16:42:54 +01:00
Glenn Jocher
2b329b0945
Enhanced check_requirements() with auto-install ( #2575 )
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* Update check_requirements() with auto-install
This PR builds on an idea I had to automatically install missing dependencies rather than simply report an error message.
YOLOv5 should now 1) display all dependency issues and not simply display the first missing dependency, and 2) attempt to install/update each missing/VersionConflict package.
* cleanup
* cleanup 2
* Check requirements.txt file exists
* cleanup 3
2021-03-24 01:05:59 +01:00
Ayush Chaurasia
1bf9365280
W&B DDP fix ( #2574 )
2021-03-23 16:54:34 +01:00
Ayush Chaurasia
e8fc97aa38
Improved W&B integration ( #2125 )
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* Init Commit
* new wandb integration
* Update
* Use data_dict in test
* Updates
* Update: scope of log_img
* Update: scope of log_img
* Update
* Update: Fix logging conditions
* Add tqdm bar, support for .txt dataset format
* Improve Result table Logger
* Init Commit
* new wandb integration
* Update
* Use data_dict in test
* Updates
* Update: scope of log_img
* Update: scope of log_img
* Update
* Update: Fix logging conditions
* Add tqdm bar, support for .txt dataset format
* Improve Result table Logger
* Add dataset creation in training script
* Change scope: self.wandb_run
* Add wandb-artifact:// natively
you can now use --resume with wandb run links
* Add suuport for logging dataset while training
* Cleanup
* Fix: Merge conflict
* Fix: CI tests
* Automatically use wandb config
* Fix: Resume
* Fix: CI
* Enhance: Using val_table
* More resume enhancement
* FIX : CI
* Add alias
* Get useful opt config data
* train.py cleanup
* Cleanup train.py
* more cleanup
* Cleanup| CI fix
* Reformat using PEP8
* FIX:CI
* rebase
* remove uneccesary changes
* remove uneccesary changes
* remove uneccesary changes
* remove unecessary chage from test.py
* FIX: resume from local checkpoint
* FIX:resume
* FIX:resume
* Reformat
* Performance improvement
* Fix local resume
* Fix local resume
* FIX:CI
* Fix: CI
* Imporve image logging
* (:(:Redo CI tests:):)
* Remember epochs when resuming
* Remember epochs when resuming
* Update DDP location
Potential fix for #2405
* PEP8 reformat
* 0.25 confidence threshold
* reset train.py plots syntax to previous
* reset epochs completed syntax to previous
* reset space to previous
* remove brackets
* reset comment to previous
* Update: is_coco check, remove unused code
* Remove redundant print statement
* Remove wandb imports
* remove dsviz logger from test.py
* Remove redundant change from test.py
* remove redundant changes from train.py
* reformat and improvements
* Fix typo
* Add tqdm tqdm progress when scanning files, naming improvements
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-03-23 00:44:50 +01:00
Glenn Jocher
9b11f0c58b
PyTorch Hub models default to CUDA:0 if available ( #2472 )
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* PyTorch Hub models default to CUDA:0 if available
* device as string bug fix
2021-03-14 23:16:17 -07:00
Glenn Jocher
2d41e70e82
Scipy kmeans-robust autoanchor update ( #2470 )
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Fix for https://github.com/ultralytics/yolov5/issues/2394
2021-03-14 21:58:12 -07:00
Yann Defretin
38ff499b26
Update autosplit() with annotated_only option ( #2466 )
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* Be able to create dataset from annotated images only
Add the ability to create a dataset/splits only with images that have an annotation file, i.e a .txt file, associated to it. As we talked about this, the absence of a txt file could mean two things:
* either the image wasn't yet labelled by someone,
* either there is no object to detect.
When it's easy to create small datasets, when you have to create datasets with thousands of images (and more coming), it's hard to track where you at and you don't want to wait to have all of them annotated before starting to train. Which means some images would lack txt files and annotations, resulting in label inconsistency as you say in #2313 . By adding the annotated_only argument to the function, people could create, if they want to, datasets/splits only with images that were labelled, for sure.
* Cleanup and update print()
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-03-14 17:11:27 -07:00
Glenn Jocher
08d4918d7f
labels.jpg class names ( #2454 )
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* labels.png class names
* fontsize=10
2021-03-12 22:15:41 -08:00
Glenn Jocher
f01f3223d5
Integer printout ( #2450 )
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* Integer printout
* test.py 'Labels'
* Update train.py
2021-03-12 13:35:44 -08:00
Glenn Jocher
e8a2b83268
GCP sudo docker userdata.sh ( #2393 )
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* GCP sudo docker
* cleanup
2021-03-07 20:21:49 -08:00
Glenn Jocher
7c2c95732c
AWS wait && echo "All tasks done." ( #2391 )
2021-03-07 20:18:30 -08:00
Glenn Jocher
ba18528b47
bbox_iou() stability and speed improvements ( #2385 )
2021-03-06 13:07:34 -08:00
Yonghye Kwon
cd8ed3521d
image weights compatible faster random index generator v2 for mosaic augmentation ( #2383 )
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image weights compatible faster random index generator v2 for mosaic augmentation
2021-03-05 22:58:26 -08:00
Ryan Avery
2c56ad5436
Confusion matrix background axis swap ( #2114 )
2021-03-02 16:09:52 -08:00
Glenn Jocher
fab5085674
EMA bug fix 2 ( #2330 )
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* EMA bug fix 2
* update
2021-03-01 17:13:34 -08:00
Iden Craven
a82dce7faa
Fix labels being missed when image extension appears twice in filename ( #2300 )
2021-02-25 18:05:38 -08:00
Glenn Jocher
ec1d8496ba
Improved model+EMA checkpointing ( #2292 )
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* Enhanced model+EMA checkpointing
* update
* bug fix
* bug fix 2
* always save optimizer
* ema half
* remove model.float()
* model half
* carry ema/model in fp32
* rm model.float()
* both to float always
* cleanup
* cleanup
2021-02-24 18:26:46 -08:00
Glenn Jocher
0070995bd5
Amazon AWS EC2 startup and re-startup scripts ( #2282 )
2021-02-24 01:43:59 -08:00
Glenn Jocher
d5d275b6e9
Amazon AWS EC2 startup and re-startup scripts ( #2185 )
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* Amazon AWS EC2 startup and re-startup scripts
* Create resume.py
* cleanup
2021-02-23 23:10:14 -08:00
xiaowo1996
83dc1b4484
FLOPS min stride 32 ( #2276 )
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Signed-off-by: xiaowo1996 <429740343@qq.com>
2021-02-23 09:38:56 -08:00
Glenn Jocher
6f5d6fcdaa
Robust objectness loss balancing ( #2256 )
2021-02-20 11:19:01 -08:00
Glenn Jocher
c09964c27c
Update inference default to multi_label=False ( #2252 )
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* Update inference default to multi_label=False
* bug fix
* Update plots.py
* Update plots.py
2021-02-19 15:39:09 -08:00
Glenn Jocher
47faf95079
reset head
2021-02-19 15:20:41 -08:00
Glenn Jocher
d2e754b67b
Add isdocker() ( #2232 )
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* Add isdocker()
* Update general.py
* Update general.py
2021-02-16 15:58:07 -08:00
Glenn Jocher
26c2e54c8f
Add check_imshow() ( #2231 )
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* Add check_imshow()
* Update general.py
* Update general.py
2021-02-16 13:56:47 -08:00
Glenn Jocher
7b833e37bf
LoadStreams() frame loss bug fix ( #2222 )
2021-02-15 11:02:20 -08:00
Glenn Jocher
bdd88e1ed7
YOLOv5 Segmentation Dataloader Updates ( #2188 )
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* Update C3 module
* Update C3 module
* Update C3 module
* Update C3 module
* update
* update
* update
* update
* update
* update
* update
* update
* update
* updates
* updates
* updates
* updates
* updates
* updates
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* update
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* updates
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* update
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* update
* update
* update
* update
* update
* update
* update
* update datasets
* update
* update
* update
* update attempt_downlaod()
* merge
* merge
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* parameterize eps
* comments
* gs-multiple
* update
* max_nms implemented
* Create one_cycle() function
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* GitHub API rate limit fix
* update
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* astuple
* epochs
* update
* update
* ComputeLoss()
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* merge
* merge
* merge
* merge
* update
* update
* update
* update
* commit=tag == tags[-1]
* Update cudnn.benchmark
* update
* update
* update
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* update
* update
* update
* update
* update
* mosaic9
* update
* update
* update
* update
* update
* update
* institute cache versioning
* only display on existing cache
* reverse cache exists booleans
2021-02-11 21:22:45 -08:00
NanoCode012
a5d5f9262d
Changed socket port and added timeout ( #2176 )
2021-02-10 13:01:48 -08:00
Transigent
c9bda112ae
Update utils/datasets.py to support .webp files ( #2174 )
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Simply added 'webp' as an image format to the img_formats array so that webp image files can be used as training data.
2021-02-10 00:16:38 -08:00
Glenn Jocher
86897e3663
Update train.py test batch_size ( #2148 )
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* Update train.py
* Update loss.py
2021-02-06 10:29:32 -08:00
