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>
3年前
6a3ee7cf03
Hub models `map_location=device` ( #3894 )
* Hub models `map_location=device`
* cleanup
3年前
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
3年前
8b5086c21b
Multi-GPU default to single device 0 ( #3554 )
* Multi-GPU default to single device 0
* Multi-GPU default to single device 0
* add space
3年前
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>
3年前
3cb9ad4fc4
Update FLOPs description ( #3422 )
* Update README.md
* Changing FLOPS to FLOPs.
Co-authored-by: BuildTools <unconfigured@null.spigotmc.org>
3年前
aad99b63d6
TensorBoard DP/DDP graph fix ( #3325 )
3年前
f3402353fb
check `batch_size % utilized_device_count` ( #3276 )
Bug fix to check batch_size divisibility of utilized CUDA device count vs total system CUDA device count.
3年前
866bc7d640
Speed profiling improvements ( #2648 )
* Speed profiling improvements
* Update torch_utils.py
deepcopy() required to avoid adding elements to model.
* Update torch_utils.py
3年前
2e95cf3d79
Improve git_describe() fix 1 ( #2635 )
Add stderr=subprocess.STDOUT to catch error messages.
3年前
6e8c5b7678
Improve git_describe() ( #2633 )
Catch 'fatal: not a git repository' returns and return '' instead (observed in GCP Hub checks).
3年前
0ff5aeca61
Create date_modified() ( #2616 )
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
...
```
3年前
77415a42e5
Update git_describe() for remote dir usage ( #2606 )
3年前
9b11f0c58b
PyTorch Hub models default to CUDA:0 if available ( #2472 )
* PyTorch Hub models default to CUDA:0 if available
* device as string bug fix
3年前
f01f3223d5
Integer printout ( #2450 )
* Integer printout
* test.py 'Labels'
* Update train.py
3年前
83dc1b4484
FLOPS min stride 32 ( #2276 )
Signed-off-by: xiaowo1996 <429740343@qq.com>
3年前
ffef77124e
Update torch_utils.py ( #1895 )
3年前
6ab589583c
Add colorstr() ( #1887 )
* Add colorful()
* update
* newline fix
* add git description
* --always
* update loss scaling
* update loss scaling 2
* rename to colorstr()
3年前
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
* 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
* 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年前
9f5a18bb80
Torch CUDA synchronize update ( #1826 )
* torch.cuda.synchronize() update
* torch.cuda.synchronize() update
* torch.cuda.synchronize() update
* newline
3年前
c0ffcdf998
Display correct CUDA devices ( #1776 )
* Display correct CUDA devices
* cleanup
3年前
3004fb5bc1
Automatic m.half() profile on x.half()
3年前
0bd9c48609
Update torch_utils.py
FLOPS to GFLOPS
3年前
394d1c89f3
Input channel yaml['ch'] addition ( #1741 )
3年前
8bc0027afc
Update loss criteria constructor ( #1711 )
3年前
035ac82ed0
Fix torch multi-GPU --device error ( #1701 )
* Fix torch GPU error
* Update torch_utils.py
single-line device =
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
3年前
ada90e3901
Profile() feature addition ( #1673 )
* Profile() feature addition
* cleanup
3年前
8918e63476
Increase FLOPS robustness ( #1608 )
3年前
05a955a3f6
FLOPS computation device bug fix ( #1447 )
* Update torch_utils.py
fix issue#113 , inputs device should be same with model parameters' device
* Update torch_utils.py
* Update torch_utils.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
4年前
9f27902368
Improved FLOPS computation ( #1398 )
4年前
d8f5fcfe87
Improved FLOPS computation ( #1398 )
* Improved FLOPS computation
* update comment
4年前
fe341fa44d
Utils reorganization ( #1392 )
* Utils reorganization
* Add new utils files
* cleanup
* simplify
* reduce datasets.py
* remove evolve.sh
* loadWebcam cleanup
4年前
19e2482458
PyTorch version to screen and cleanup ( #1325 )
* Create flatten_recursive() helper function
* cleanup
* print torch version
4年前
c8c5ef36c9
PyTorch 1.7.0 Compatibility Updates ( #1233 )
* torch 1.7.0 compatibility updates
* add inference verification
4年前
3b57cb5641
Simplified inference ( #1153 )
4年前
124f0e8212
torchvision nms bug fix
4年前
883924d9dc
classifier, export, torch seed updates
4年前
89655a84f2
.fuse() gradient introduction bug fix
4年前
c5969f79f5
add support for DWConv fuse operation ( #898 )
* the value should be a list to unpacking
* filter the None labels
* update readme to remove apex dependency
* add support for DWConv fuse operation
4年前
b42e8a531b
optimize imports
4年前
26c3b11fdc
Update torch_utils.py ( #751 )
4年前
f5da528d28
reformat code
4年前
4949401a94
Fix redundant outputs via Logging in DDP training ( #500 )
* Change print to logging
* Clean function set_logging
* Add line spacing
* Change leftover prints to log
* Fix scanning labels output
* Fix rank naming
* Change leftover print to logging
* Reorganized DDP variables
* Fix type error
* Make quotes consistent
* Fix spelling
* Clean function call
* Add line spacing
* Update datasets.py
* Update train.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
4年前
3c6e2f7668
Single-source training ( #680 )
* Single-source training
* Extract hyperparameters into seperate files
* weight decay scientific notation yaml reader bug fix
* remove import glob
* intersect_dicts() implementation
* 'or' bug fix
* .to(device) bug fix
4年前
c020875b17
PyTorch 1.6.0 update with native AMP ( #573 )
* PyTorch have Automatic Mixed Precision (AMP) Training.
* Fixed the problem of inconsistent code length indentation
* Fixed the problem of inconsistent code length indentation
* Mixed precision training is turned on by default
4年前
1d17b9af0f
update yolo.py TTA flexibility and extensibility ( #506 )
* update yolo.py TTA flexibility and extensibility
* Update scale_img()
4年前
9da56b62dd
v2.0 Release ( #491 )
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
4年前
2377e5f6ee
FP16 EMA bug fix
4年前
41ff83a98d
update torch_utils.py to FP16 EMA
4年前
a586751904
multi-gpu ckpt filesize bug fix #253
4年前
Glenn Jocher
chocosaj
xiaowo1996
NanoCode012
yujun
tkianai
Francisco Ingham
Liu Changyu