NanoCode012 and Glenn Jocher
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
Glenn Jocher
45632b2704
Update download() for tar.gz files ( #2919 )
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* Update download() for tar.gz files
* Update general.py
2021-04-24 15:53:15 +02:00
Glenn Jocher
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
Glenn Jocher
78fd077657
VisDrone2019-DET Dataset Auto-Download ( #2882 )
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* VisDrone Dataset Auto-Download
* add visdrone.yaml
* cleanup
* add VisDrone2019-DET-test-dev
* cleanup VOC
2021-04-22 12:10:26 +02:00
Glenn Jocher
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
Burhan and Glenn Jocher
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
Glenn Jocher
c5c647e281
Update increment_path() to handle file paths ( #2867 )
2021-04-20 19:47:07 +02:00
Glenn Jocher
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
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
Ben Milanko and Glenn Jocher
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
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
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
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
ba18528b47
bbox_iou() stability and speed improvements ( #2385 )
2021-03-06 13:07:34 -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
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
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
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
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
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* 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
Glenn Jocher
f59f80114c
Add 'exclude' tuple to check_requirements() ( #2041 )
2021-01-26 21:17:36 -08:00
Glenn Jocher
3b7feeafdf
Update general.py check_git_status() fix ( #2020 )
2021-01-22 15:59:01 -08:00
Glenn Jocher
aac33f87ad
Update inference multiple-counting ( #2019 )
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* Update inference multiple-counting
* update github check
2021-01-22 15:39:08 -08:00
Glenn Jocher
1445ab2b27
check_git_status() Windows fix ( #2015 )
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* check_git_status() Windows fix
* Update general.py
* Update general.py
* Update general.py
* Update general.py
* Update general.py
* Update general.py
2021-01-22 12:37:12 -08:00
Glenn Jocher
d9212140b3
Add xywhn2xyxy() ( #1983 )
2021-01-19 13:33:52 -08:00
Glenn Jocher
b1cf25dd9a
check_git_status() asserts ( #1977 )
2021-01-18 10:49:28 -08:00
Glenn Jocher
b26a2f6242
check_git_status() when not exist /workspace ( #1966 )
2021-01-17 11:55:25 -08:00
Glenn Jocher
e8a41e8916
prevent check_git_status() in docker images ( #1951 )
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* prevent check_git_status() running docker images
* Update general.py
2021-01-16 01:15:38 -08:00
Glenn Jocher
051e9e80de
check_git_status() bug fix ( #1925 )
2021-01-13 10:25:53 -08:00
Glenn Jocher
509dd51aca
check_git_status() improvements ( #1916 )
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* check_online()
* Update general.py
* update check_git_status()
* reverse rev-parse order
* fetch
* improved responsiveness
* comment
* comment
* remove hyp['giou'] compat warning
2021-01-12 21:51:49 -08:00
Glenn Jocher
dd03b20ba5
colorstr() updates ( #1909 )
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* W&B ImportError message fix
* colorstr() updates
* colorstr() updates
* colorstr() default to 'blue', 'bold'
* train: magenta
* train: blue
2021-01-12 10:33:15 -08:00
Glenn Jocher
1d1c0567a4
PyTorch Hub results.render() ( #1897 )
2021-01-10 20:06:11 -08:00
Glenn Jocher
6ab589583c
Add colorstr() ( #1887 )
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* Add colorful()
* update
* newline fix
* add git description
* --always
* update loss scaling
* update loss scaling 2
* rename to colorstr()
2021-01-09 15:24:18 -08:00
Glenn Jocher
e77c77f580
Add check_requirements() ( #1853 )
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* Add check_requirements()
* add import
* parameterize filename
* add to detect, test
2021-01-06 16:35:40 -08:00
Tommy in Tongji and Glenn Jocher
135ec5c5ce
W&B ID reset on training completion ( #1852 )
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* Update train.py
Fix the bug of always the same W&B ID and continue overwrite with the old logging.
BUG report
https://github.com/ultralytics/yolov5/issues/1851
* Fix the bug of duplicate W&B ID
fix the bug of https://github.com/ultralytics/yolov5/issues/1851
If we had trained on yolov5s.pt, the program will generate a new unique W&B ID.
If we hadn't, the program will keep the old code, we can still use --resume aug.
* Update general.py
* revert train.py changes
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com >
2021-01-06 16:27:22 -08:00
Glenn Jocher
69be8e738f
YOLOv5 v4.0 Release ( #1837 )
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* Update C3 module
* Update C3 module
* Update C3 module
* Update C3 module
* update
* update
* update
* update
* update
* update
* update
* update
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* update
* update
* update
* 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 study.png
* update study.png
* Update datasets.py
2021-01-04 19:54:09 -08:00
Glenn Jocher
0e341c5660
Create one_cycle() function ( #1836 )
2021-01-04 15:49:08 -08:00
Glenn Jocher
d5289b54c4
clean_str() function addition ( #1674 )
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* clean_str() function addition
* cleanup
* add euro symbol €
* add closing exclamation (spanish)
* cleanup
2020-12-17 17:20:20 -08:00
Polydefkis Gkagkos
1fc9d42a64
NMS --classes 0 bug fix ( #1710 )
2020-12-16 08:58:51 -08:00
Glenn Jocher
fa8f1fb0e9
Simplify autoshape() post-process ( #1653 )
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* Simplify autoshape() post-process
* cleanup
* cleanup
2020-12-09 07:44:06 -08:00
Glenn Jocher
68e6ab668b
Hub device mismatch bug fix ( #1619 )
2020-12-06 17:53:38 +01:00
Glenn Jocher
96a84468b9
Update labels_to_image_weights() ( #1545 )
2020-11-28 12:25:45 +01:00
Glenn Jocher
95fa65339f
Cat apriori to autolabels ( #1484 )
2020-11-23 13:38:47 +01:00
Glenn Jocher
394131c2aa
Use torchvision.ops.nms ( #1460 )
2020-11-20 11:23:36 +01:00
Glenn Jocher
f5429260ca
PyTorch Hub and autoShape update ( #1415 )
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* PyTorch Hub and autoShape update
* comment x for imgs
* reduce comment
2020-11-16 23:09:55 +01:00
Glenn Jocher
548a98a391
Recursive directories dataset capability ( #1408 )
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* Recursive directories dataset capability
* x.split('.')[-1]
* f += glob.glob(f"{p}{os.sep}**.*", recursive=True)
* f += glob.glob(str(p / '**.*'), recursive=True)
* remove . from image and vid formats
* .txt to txt
* str(p / '**' / '*.*')
2020-11-16 16:24:57 +01:00
