7a0a81fd1d
GPU export options ( #2297 )
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* option for skip last layer and cuda export support
* added parameter device
* fix import
* cleanup 1
* cleanup 2
* opt-in grid
--grid will export with grid computation, default export will skip grid (same as current)
* default --device cpu
GPU export causes ONNX and CoreML errors.
Co-authored-by: Jan Hajek <jan.hajek@gmail.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-03-06 12:02:10 -08:00
a3ecf0fd64
Anchor override ( #2350 )
2021-03-02 23:08:21 -08:00
fab5085674
EMA bug fix 2 ( #2330 )
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* EMA bug fix 2
* update
2021-03-01 17:13:34 -08:00
fd96810518
remove TTA 1 pixel offset ( #2325 )
2021-02-28 21:14:08 -08:00
cbd55da5d2
Update yolo.py ( #2120 )
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* Avoid mutable state in Detect
* LoadImages() pathlib update (#2140 )
* Unique *.cache filenames fix (#2134 )
* fix #2121
* Update test.py
* Update train.py
* Update autoanchor.py
* Update datasets.py
* Update log_dataset.py
* Update datasets.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update train.py test batch_size (#2148 )
* Update train.py
* Update loss.py
* Update train.py (#2149 )
* Linear LR scheduler option (#2150 )
* Linear LR scheduler option
* Update train.py
* Update data-autodownload background tasks (#2154 )
* Update get_coco.sh
* Update get_voc.sh
* Update detect.py (#2167 )
Without this cv2.imshow opens a window but nothing is visible
* Update requirements.txt (#2173 )
* Update utils/datasets.py to support .webp files (#2174 )
Simply added 'webp' as an image format to the img_formats array so that webp image files can be used as training data.
* Changed socket port and added timeout (#2176 )
* PyTorch Hub results.save('path/to/dir') (#2179 )
* YOLOv5 Segmentation Dataloader Updates (#2188 )
* 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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* updates
* updates
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* update
* 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
* 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
* Created using Colaboratory
* YOLOv5 PyTorch Hub results.save() method retains filenames (#2194 )
* save results with name
* debug
* save original imgs names
* Update common.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* TTA augument boxes one pixel shifted in de-flip ud and lr (#2219 )
* TTA augument boxes one pixel shifted in de-flip ud and lr
* PEP8 reformat
Co-authored-by: Jaap van de Loosdrecht <jaap.van.de.loosdrecht@nhlstenden.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* LoadStreams() frame loss bug fix (#2222 )
* Update yolo.py channel array (#2223 )
* Add check_imshow() (#2231 )
* Add check_imshow()
* Update general.py
* Update general.py
* Update CI badge (#2230 )
* Add isdocker() (#2232 )
* Add isdocker()
* Update general.py
* Update general.py
* YOLOv5 Hub URL inference bug fix (#2250 )
* Update common.py
* Update common.py
* Update common.py
* Improved hubconf.py CI tests (#2251 )
* Unified hub and detect.py box and labels plotting (#2243 )
* reset head
* Update inference default to multi_label=False (#2252 )
* Update inference default to multi_label=False
* bug fix
* Update plots.py
* Update plots.py
* Robust objectness loss balancing (#2256 )
* Created using Colaboratory
* Update minimum stride to 32 (#2266 )
* Dynamic ONNX engine generation (#2208 )
* add: dynamic onnx export
* delete: test onnx inference
* fix dynamic output axis
* Code reduction
* fix: dynamic output axes, dynamic input naming
* Remove fixed axes
Co-authored-by: Shivam Swanrkar <ss8464@nyu.edu>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update greetings.yml for auto-rebase on PR (#2272 )
* Update Dockerfile with apt install zip (#2274 )
* FLOPS min stride 32 (#2276 )
Signed-off-by: xiaowo1996 <429740343@qq.com>
* Update README.md
* Amazon AWS EC2 startup and re-startup scripts (#2185 )
* Amazon AWS EC2 startup and re-startup scripts
* Create resume.py
* cleanup
* Amazon AWS EC2 startup and re-startup scripts (#2282 )
* Update train.py (#2290 )
* Update train.py
* Update train.py
* Update train.py
* Update train.py
* Create train.py
* Improved model+EMA checkpointing (#2292 )
* 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
* Improved model+EMA checkpointing 2 (#2295 )
* Fix labels being missed when image extension appears twice in filename (#2300 )
* W&B entity support (#2298 )
* W&B entity support
* shorten wandb_entity to entity
Co-authored-by: Jan Hajek <jan.hajek@gmail.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Avoid mutable state in Detect
* Update yolo and remove .to(device)
Co-authored-by: Oleg Boiko <oboiko@chegg.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: train255 <thanhdd.it@gmail.com>
Co-authored-by: ab-101 <56578530+ab-101@users.noreply.github.com>
Co-authored-by: Transigent <wbdsmith@optusnet.com.au>
Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
Co-authored-by: Daniel Khromov <danielkhromov@gmail.com>
Co-authored-by: VdLMV <jaap@vdlmv.nl>
Co-authored-by: Jaap van de Loosdrecht <jaap.van.de.loosdrecht@nhlstenden.com>
Co-authored-by: Yann Defretin <kinoute@gmail.com>
Co-authored-by: Aditya Lohia <64709773+aditya-dl@users.noreply.github.com>
Co-authored-by: Shivam Swanrkar <ss8464@nyu.edu>
Co-authored-by: xiaowo1996 <429740343@qq.com>
Co-authored-by: Iden Craven <iden.craven@gmail.com>
Co-authored-by: Jan Hajek <toretak@users.noreply.github.com>
Co-authored-by: Jan Hajek <jan.hajek@gmail.com>
2021-02-26 15:07:40 -08:00
95aefea493
Dynamic ONNX engine generation ( #2208 )
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* add: dynamic onnx export
* delete: test onnx inference
* fix dynamic output axis
* Code reduction
* fix: dynamic output axes, dynamic input naming
* Remove fixed axes
Co-authored-by: Shivam Swanrkar <ss8464@nyu.edu>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-02-21 21:50:44 -08:00
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
5f42643a53
Unified hub and detect.py box and labels plotting ( #2243 )
2021-02-19 12:38:05 -08:00
db28ce61ac
Improved hubconf.py CI tests ( #2251 )
2021-02-19 12:35:38 -08:00
9d87307784
YOLOv5 Hub URL inference bug fix ( #2250 )
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* Update common.py
* Update common.py
* Update common.py
2021-02-19 11:22:42 -08:00
f8464b4f66
Update yolo.py channel array ( #2223 )
2021-02-15 21:21:53 -08:00
3ff783c18f
TTA augument boxes one pixel shifted in de-flip ud and lr ( #2219 )
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* TTA augument boxes one pixel shifted in de-flip ud and lr
* PEP8 reformat
Co-authored-by: Jaap van de Loosdrecht <jaap.van.de.loosdrecht@nhlstenden.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-02-15 10:49:22 -08:00
3e560e2fae
YOLOv5 PyTorch Hub results.save() method retains filenames ( #2194 )
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* save results with name
* debug
* save original imgs names
* Update common.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-02-12 15:37:51 -08:00
404749a33c
PyTorch Hub results.save('path/to/dir') ( #2179 )
2021-02-10 16:10:43 -08:00
9646ca438a
Update plot_study() ( #2112 )
2021-02-01 13:51:11 -08:00
6e6f77be47
Add YOLOv5-P6 models ( #2083 )
2021-01-29 11:57:29 -08:00
6bfa9c2422
GhostConv update ( #2082 )
2021-01-29 11:25:01 -08:00
08d3119e09
Add histogram equalization fcn ( #2049 )
2021-01-26 17:30:42 -08:00
2fc4760257
Update autoshape .print() and .save() ( #2022 )
2021-01-22 16:38:06 -08:00
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
4501169547
Update yolo.py with yaml.SafeLoader ( #1970 )
2021-01-18 10:47:00 -08:00
03ebe6ea14
Add nn.SiLU inplace in attempt_load() ( #1940 )
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* 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
1d1c0567a4
PyTorch Hub results.render() ( #1897 )
2021-01-10 20:06:11 -08:00
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
* update
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* update
* update
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* update
* updates
* updates
* updates
* updates
* update
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* update
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* 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
* 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
0b6266f5e0
Update yolov3-tiny.yaml ( #1823 )
2021-01-02 13:01:05 -08:00
14b0abe2d0
autoShape() default for PyTorch Hub models ( #1692 )
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* Add autoshape parameter
* Remove autoshape call in ReadMe
* Update hubconf.py
* file/URI inputs and autoshape check passthrough
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2020-12-26 19:58:26 -08:00
9922c1183f
leaf Variable inplace bug fix ( #1759 )
2020-12-22 17:27:40 -08:00
394d1c89f3
Input channel yaml['ch'] addition ( #1741 )
2020-12-19 10:54:01 -08:00
6bd5e8bca7
nn.SiLU() export support ( #1713 )
2020-12-16 17:55:57 -08:00
799724108f
Update C3 module ( #1705 )
2020-12-15 22:13:08 -08:00
fa8f1fb0e9
Simplify autoshape() post-process ( #1653 )
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* Simplify autoshape() post-process
* cleanup
* cleanup
2020-12-09 07:44:06 -08:00
791dadb51c
Pycocotools best.pt after COCO train ( #1616 )
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* Pycocotools best.pt after COCO train
* cleanup
2020-12-06 14:58:33 +01:00
d929bb656c
Implement default class names ( #1609 )
2020-12-06 12:41:37 +01:00
ba48f867ea
Add bias to Classify() ( #1601 )
2020-12-04 15:06:33 +01:00
199c9c7874
Detection() device bug fix ( #1455 )
2020-11-19 13:45:36 +01:00
225845e781
Update test.py for IoU in native image-space ( #1439 )
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* Update test.py for IoU in native image-space
* remove redundant
* gn to device
* remove output scale_coords
* --img-size correction
* update
* native-space labels
* pred to predn
* remove clip_coords()
2020-11-18 22:50:21 +01:00
97c6a59dd1
PANet anchor order correction ( #1420 )
2020-11-17 10:13:00 +01:00
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
d8f5fcfe87
Improved FLOPS computation ( #1398 )
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* Improved FLOPS computation
* update comment
2020-11-14 14:39:46 +01:00
fe341fa44d
Utils reorganization ( #1392 )
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* Utils reorganization
* Add new utils files
* cleanup
* simplify
* reduce datasets.py
* remove evolve.sh
* loadWebcam cleanup
2020-11-14 11:50:32 +01:00
19e2482458
PyTorch version to screen and cleanup ( #1325 )
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* Create flatten_recursive() helper function
* cleanup
* print torch version
2020-11-09 12:24:11 +01:00
15a10609fe
autoshape() update for PIL greyscale inputs ( #1279 )
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* autoshape update for PIL greyscale inputs
* autoshape update for PIL greyscale inputs
2020-11-04 14:20:11 +01:00
c8c5ef36c9
PyTorch 1.7.0 Compatibility Updates ( #1233 )
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* torch 1.7.0 compatibility updates
* add inference verification
2020-10-28 15:03:50 +01:00
f532bc68a9
GhostConv() bug fix ( #1176 )
2020-10-20 13:42:11 +02:00
3b57cb5641
Simplified inference ( #1153 )
2020-10-15 20:10:08 +02:00
d45e349a1e
Rearrange export input after checks ( #1118 )
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img size checks are warnings rather than errors, so current implementation allows improperly formed model inputs.
2020-10-11 16:23:36 +02:00
c2403d785c
fuse() bug fix
2020-10-11 00:42:54 +02:00
883924d9dc
classifier, export, torch seed updates
2020-10-06 14:54:02 +02:00
a12698f4c9
Update ci-testing.yml reflecting sys.path additions ( #869 )
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* Update ci-testing.yml
* Update yolo.py
* Update ci-testing.yml
* Update export.py
* Update yolo.py
2020-10-04 18:50:32 +02:00
d55c326dda
export.py folder sys.path addition ( #1052 )
2020-10-04 17:42:05 +02:00
Jan Hajek
Glenn Jocher
oleg
Aditya Lohia
Yann Defretin
VdLMV
Daniel Khromov
Abhiram V
lorne
NanoCode012
Yi_Zhang
PetrDvoracek