Glenn Jocher
1c132a1f94
Update Detections() times=None ( #2570 )
Fix for results.tolist() method breaking after YOLOv5 Hub profiling PRshttps://github.com/ultralytics/yolov5/pull/2460 https://github.com/ultralytics/yolov5/pull/2459 and
3 years ago
Ayush Chaurasia
e8fc97aa38
Improved W&B integration ( #2125 )
* 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>
3 years ago
Glenn Jocher
f813f6dcc8
autoShape() speed profiling update ( #2460 )
3 years ago
Glenn Jocher
569757ecc0
Add autoShape() speed profiling ( #2459 )
* Add autoShape() speed profiling
* Update common.py
* Create README.md
* Update hubconf.py
* cleanuip
3 years ago
Jan Hajek
7a0a81fd1d
GPU export options ( #2297 )
* 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>
3 years ago
Glenn Jocher
a3ecf0fd64
Anchor override ( #2350 )
3 years ago
Glenn Jocher
fab5085674
EMA bug fix 2 ( #2330 )
* EMA bug fix 2
* update
3 years ago
Glenn Jocher
fd96810518
remove TTA 1 pixel offset ( #2325 )
3 years ago
oleg
cbd55da5d2
Update yolo.py ( #2120 )
* 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
* updates
* updates
* updates
* updates
* update
* update
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* update
* updates
* updates
* updates
* updates
* update
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* update
* 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 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>
3 years ago
Aditya Lohia
95aefea493
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>
3 years ago
Glenn Jocher
c09964c27c
Update inference default to multi_label=False ( #2252 )
* Update inference default to multi_label=False
* bug fix
* Update plots.py
* Update plots.py
3 years ago
Yann Defretin
5f42643a53
Unified hub and detect.py box and labels plotting ( #2243 )
3 years ago
Glenn Jocher
db28ce61ac
Improved hubconf.py CI tests ( #2251 )
3 years ago
Glenn Jocher
9d87307784
YOLOv5 Hub URL inference bug fix ( #2250 )
* Update common.py
* Update common.py
* Update common.py
3 years ago
Glenn Jocher
f8464b4f66
Update yolo.py channel array ( #2223 )
3 years ago
VdLMV
3ff783c18f
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>
3 years ago
Daniel Khromov
3e560e2fae
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>
3 years ago
Glenn Jocher
404749a33c
PyTorch Hub results.save('path/to/dir') ( #2179 )
3 years ago
Glenn Jocher
9646ca438a
Update plot_study() ( #2112 )
3 years ago
Glenn Jocher
6e6f77be47
Add YOLOv5-P6 models ( #2083 )
3 years ago
Glenn Jocher
6bfa9c2422
GhostConv update ( #2082 )
3 years ago
Glenn Jocher
08d3119e09
Add histogram equalization fcn ( #2049 )
3 years ago
Glenn Jocher
2fc4760257
Update autoshape .print() and .save() ( #2022 )
3 years ago
Glenn Jocher
aac33f87ad
Update inference multiple-counting ( #2019 )
* Update inference multiple-counting
* update github check
3 years ago
Abhiram V
4501169547
Update yolo.py with yaml.SafeLoader ( #1970 )
3 years ago
lorne
03ebe6ea14
Add nn.SiLU inplace in attempt_load() ( #1940 )
* 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>
3 years ago
Glenn Jocher
1d1c0567a4
PyTorch Hub results.render() ( #1897 )
3 years ago
Glenn Jocher
69be8e738f
YOLOv5 v4.0 Release ( #1837 )
* 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
* update
* update
* updates
* updates
* updates
* updates
* update
* update
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* update
* 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 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
3 years ago
Glenn Jocher
0b6266f5e0
Update yolov3-tiny.yaml ( #1823 )
3 years ago
NanoCode012
14b0abe2d0
autoShape() default for PyTorch Hub models ( #1692 )
* 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>
3 years ago
Glenn Jocher
9922c1183f
leaf Variable inplace bug fix ( #1759 )
3 years ago
Glenn Jocher
394d1c89f3
Input channel yaml['ch'] addition ( #1741 )
3 years ago
Glenn Jocher
6bd5e8bca7
nn.SiLU() export support ( #1713 )
3 years ago
Glenn Jocher
799724108f
Update C3 module ( #1705 )
3 years ago
Glenn Jocher
fa8f1fb0e9
Simplify autoshape() post-process ( #1653 )
* Simplify autoshape() post-process
* cleanup
* cleanup
3 years ago
Glenn Jocher
791dadb51c
Pycocotools best.pt after COCO train ( #1616 )
* Pycocotools best.pt after COCO train
* cleanup
3 years ago
Glenn Jocher
d929bb656c
Implement default class names ( #1609 )
3 years ago
Glenn Jocher
ba48f867ea
Add bias to Classify() ( #1601 )
3 years ago
Glenn Jocher
199c9c7874
Detection() device bug fix ( #1455 )
4 years ago
Glenn Jocher
225845e781
Update test.py for IoU in native image-space ( #1439 )
* 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()
4 years ago
Glenn Jocher
97c6a59dd1
PANet anchor order correction ( #1420 )
4 years ago
Glenn Jocher
f5429260ca
PyTorch Hub and autoShape update ( #1415 )
* PyTorch Hub and autoShape update
* comment x for imgs
* reduce comment
4 years ago
Glenn Jocher
d8f5fcfe87
Improved FLOPS computation ( #1398 )
* Improved FLOPS computation
* update comment
4 years ago
Glenn Jocher
fe341fa44d
Utils reorganization ( #1392 )
* Utils reorganization
* Add new utils files
* cleanup
* simplify
* reduce datasets.py
* remove evolve.sh
* loadWebcam cleanup
4 years ago
Glenn Jocher
19e2482458
PyTorch version to screen and cleanup ( #1325 )
* Create flatten_recursive() helper function
* cleanup
* print torch version
4 years ago
Glenn Jocher
15a10609fe
autoshape() update for PIL greyscale inputs ( #1279 )
* autoshape update for PIL greyscale inputs
* autoshape update for PIL greyscale inputs
4 years ago
Glenn Jocher
c8c5ef36c9
PyTorch 1.7.0 Compatibility Updates ( #1233 )
* torch 1.7.0 compatibility updates
* add inference verification
4 years ago
Yi_Zhang
f532bc68a9
GhostConv() bug fix ( #1176 )
4 years ago
Glenn Jocher
3b57cb5641
Simplified inference ( #1153 )
4 years ago
Glenn Jocher
d45e349a1e
Rearrange export input after checks ( #1118 )
img size checks are warnings rather than errors, so current implementation allows improperly formed model inputs.
4 years ago