d2a17289c9
Explicitly convert artifact path to posix_path ( #3067 )
...
* Explicitly convert artifact path to posix_path
* Remove redudant str() casting
2021-05-07 19:53:56 +02:00
b18ca31ff5
use check_file for --data ( #3035 )
2021-05-05 14:28:19 +02:00
8cab907f60
download() ThreadPool update ( #3027 )
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* download() ThreadPool update
* update train image count
* cid + 1
2021-05-04 23:37:31 +02:00
5189b3addb
Objects365 Update
2021-05-04 02:25:14 +02:00
41cc7caee6
Add NMS threshold checks ( #3020 )
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* Add NMS threshold checks
* fix
2021-05-03 15:07:20 +02:00
fcd57028d2
Add is_colab() function ( #3018 )
2021-05-03 12:37:50 +02:00
31ee54c28c
Hubconf.py bug fix ( #3007 )
2021-05-01 18:15:17 +02:00
37eaffec7d
Curl update ( #3004 )
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* Curl update
* Curl update
2021-05-01 17:29:51 +02:00
4d7bca7648
Add unzip flag to download() ( #3002 )
2021-05-01 12:37:41 +02:00
54652fe3ff
Objects365 update
2021-05-01 00:16:58 +02:00
801b469878
Improve performance of dataset Logger ( #2943 )
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* Improve performance of Dataset Logger
* Fix scaling bug
2021-04-30 21:54:26 +02:00
955eea8b96
Make cache saving optional ( #2977 )
2021-04-30 00:56:44 +02:00
a833ee2a46
Update check_requirements() exclude list ( #2974 )
2021-04-29 21:16:23 +02:00
2c7c075fb1
Update restapi.py ( #2967 )
2021-04-28 17:50:07 +02:00
57812df68c
New Colors() class ( #2963 )
2021-04-28 16:05:14 +02:00
1849916726
Check_requirements() enclosing apostrophe bug fix ( #2929 )
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This fixes a bug where the '>' symbol in python package requirements was not running correctly with subprocess.check_output() commands.
2021-04-25 23:33:25 +02:00
9c7bb5a52c
ACON Activation batch-size 1 bug patch ( #2901 )
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* ACON Activation batch-size 1 bug path
This is not a great solution to https://github.com/nmaac/acon/issues/4 but it's all I could think of at the moment.
WARNING: YOLOv5 models with MetaAconC() activations are incapable of running inference at batch-size 1 properly due to a known bug in https://github.com/nmaac/acon/issues/4 with no known solution.
* Update activations.py
* Update activations.py
* Update activations.py
* Update activations.py
2021-04-25 22:54:07 +02:00
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
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
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
14d2d2d75f
Update google_utils.py ( #2900 )
2021-04-22 20:27:32 +02:00
264d860f8d
ACON activation function ( #2893 )
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* ACON Activation Function
## 🚀 Feature
There is a new activation function [ACON (CVPR 2021)](https://arxiv.org/pdf/2009.04759.pdf ) that unifies ReLU and Swish.
ACON is simple but very effective, code is here: https://github.com/nmaac/acon/blob/main/acon.py#L19
The improvements are very significant:
## Alternatives
It also has an enhanced version meta-ACON that uses a small network to learn beta explicitly, which may influence the speed a bit.
## Additional context
[Code](https://github.com/nmaac/acon ) and [paper](https://arxiv.org/pdf/2009.04759.pdf ).
* Update activations.py
2021-04-22 17:26:05 +02:00
0395e39fd0
Uppercase model filenames enabled ( #2890 )
2021-04-22 16:51:21 +02:00
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
d48a34dca7
bug fix: switched rows and cols for correct detections in confusion matrix ( #2883 )
2021-04-22 00:49:55 +02:00
5f7d39fede
Cleanup load_image() ( #2871 )
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* don't resize up in load_image if augmenting
* cleanup
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-04-21 15:50:28 +02:00
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
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
c5c647e281
Update increment_path() to handle file paths ( #2867 )
2021-04-20 19:47:07 +02:00
c15e25c40f
PyTorch Hub cv2 .save() .show() bug fix ( #2831 )
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* PyTorch Hub cv2 .save() .show() bug fix
cv2.rectangle() was failing on non-contiguous np array inputs. This checks for contiguous arrays and applies is necessary:
```python
imgs[i] = im if im.data.contiguous else np.ascontiguousarray(im) # update
```
* Update plots.py
```python
assert im.data.contiguous, 'Image not contiguous. Apply np.ascontiguousarray(im) to plot_on_box() input image.'
```
* Update hubconf.py
Expand CI tests to OpenCV image.
2021-04-18 13:47:40 +02:00
aff03be35a
YouTube Bug Fix ( #2818 )
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Fix for #2810
```shell
python detect.py --source 0
```
introduced by YouTube Livestream Detection PR #2752
2021-04-16 17:58:28 +02:00
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
1479737064
Flask REST API Example ( #2732 )
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* add files
* Update README.md
* Update README.md
* Update restapi.py
pretrained=True and model.eval() are used by default when loading a model now, so no need to call them manually.
* PEP8 reformat
* PEP8 reformat
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-04-15 13:26:08 +02:00
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
f5b8f7d54c
YOLOv5 v5.0 Release ( #2762 )
2021-04-11 19:23:47 +02:00
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
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
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
3067429307
Add support for list-of-directory data format for wandb ( #2719 )
2021-04-06 16:57:13 +02:00
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
2a28ef374b
Set resume flag to false ( #2657 )
2021-03-31 13:47:54 +02:00
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
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
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
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
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
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
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
196bf10603
Add '*.mpo' to supported image formats ( #2615 )
...
Co-authored-by: Max Uppenkamp <max.uppenkamp@inform-software.com>
2021-03-26 12:45:22 +01:00
77415a42e5
Update git_describe() for remote dir usage ( #2606 )
2021-03-26 01:44:00 +01:00
Ayush Chaurasia
Glenn Jocher
NanoCode012
r-blmnr
Michael Heilig
JoshSong
Burhan
Robin
Ben Milanko
Phat Tran
zzttqu
maxupp
