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
2021-03-14 23:16:17 -07:00
2d41e70e82
Scipy kmeans-robust autoanchor update ( #2470 )
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Fix for https://github.com/ultralytics/yolov5/issues/2394
2021-03-14 21:58:12 -07:00
38ff499b26
Update autosplit() with annotated_only option ( #2466 )
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* Be able to create dataset from annotated images only
Add the ability to create a dataset/splits only with images that have an annotation file, i.e a .txt file, associated to it. As we talked about this, the absence of a txt file could mean two things:
* either the image wasn't yet labelled by someone,
* either there is no object to detect.
When it's easy to create small datasets, when you have to create datasets with thousands of images (and more coming), it's hard to track where you at and you don't want to wait to have all of them annotated before starting to train. Which means some images would lack txt files and annotations, resulting in label inconsistency as you say in #2313 . By adding the annotated_only argument to the function, people could create, if they want to, datasets/splits only with images that were labelled, for sure.
* Cleanup and update print()
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-03-14 17:11:27 -07:00
08d4918d7f
labels.jpg class names ( #2454 )
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* labels.png class names
* fontsize=10
2021-03-12 22:15:41 -08:00
f01f3223d5
Integer printout ( #2450 )
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* Integer printout
* test.py 'Labels'
* Update train.py
2021-03-12 13:35:44 -08:00
e8a2b83268
GCP sudo docker userdata.sh ( #2393 )
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* GCP sudo docker
* cleanup
2021-03-07 20:21:49 -08:00
7c2c95732c
AWS wait && echo "All tasks done." ( #2391 )
2021-03-07 20:18:30 -08:00
ba18528b47
bbox_iou() stability and speed improvements ( #2385 )
2021-03-06 13:07:34 -08:00
cd8ed3521d
image weights compatible faster random index generator v2 for mosaic augmentation ( #2383 )
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image weights compatible faster random index generator v2 for mosaic augmentation
2021-03-05 22:58:26 -08:00
2c56ad5436
Confusion matrix background axis swap ( #2114 )
2021-03-02 16:09:52 -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
a82dce7faa
Fix labels being missed when image extension appears twice in filename ( #2300 )
2021-02-25 18:05:38 -08:00
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
0070995bd5
Amazon AWS EC2 startup and re-startup scripts ( #2282 )
2021-02-24 01:43:59 -08:00
d5d275b6e9
Amazon AWS EC2 startup and re-startup scripts ( #2185 )
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* Amazon AWS EC2 startup and re-startup scripts
* Create resume.py
* cleanup
2021-02-23 23:10:14 -08:00
83dc1b4484
FLOPS min stride 32 ( #2276 )
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Signed-off-by: xiaowo1996 <429740343@qq.com>
2021-02-23 09:38:56 -08:00
6f5d6fcdaa
Robust objectness loss balancing ( #2256 )
2021-02-20 11:19:01 -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
47faf95079
reset head
2021-02-19 15:20:41 -08:00
d2e754b67b
Add isdocker() ( #2232 )
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* Add isdocker()
* Update general.py
* Update general.py
2021-02-16 15:58:07 -08:00
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
7b833e37bf
LoadStreams() frame loss bug fix ( #2222 )
2021-02-15 11:02:20 -08:00
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
* 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
* 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
a5d5f9262d
Changed socket port and added timeout ( #2176 )
2021-02-10 13:01:48 -08:00
c9bda112ae
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.
2021-02-10 00:16:38 -08:00
86897e3663
Update train.py test batch_size ( #2148 )
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* Update train.py
* Update loss.py
2021-02-06 10:29:32 -08:00
e9b3de463a
Unique *.cache filenames fix ( #2134 )
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* 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>
2021-02-05 11:12:43 -08:00
4bdc5a397e
LoadImages() pathlib update ( #2140 )
2021-02-05 09:06:23 -08:00
73a0669930
Start setup for improved W&B integration ( #1948 )
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* Add helper functions for wandb and artifacts
* cleanup
* Reorganize files
* Update wandb_utils.py
* Update log_dataset.py
We can remove this code, as the giou hyp has been deprecated for a while now.
* Reorganize and update dataloader call
* yaml.SafeLoader
* PEP8 reformat
* remove redundant checks
* Add helper functions for wandb and artifacts
* cleanup
* Reorganize files
* Update wandb_utils.py
* Update log_dataset.py
We can remove this code, as the giou hyp has been deprecated for a while now.
* Reorganize and update dataloader call
* yaml.SafeLoader
* PEP8 reformat
* remove redundant checks
* Update util files
* Update wandb_utils.py
* Remove word size
* Change path of labels.zip
* remove unused imports
* remove --rect
* log_dataset.py cleanup
* log_dataset.py cleanup2
* wandb_utils.py cleanup
* remove redundant id_count
* wandb_utils.py cleanup2
* rename cls
* use pathlib for zip
* rename dataloader to dataset
* Change import order
* Remove redundant code
* remove unused import
* remove unused imports
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-02-01 21:38:41 -08:00
9646ca438a
Update plot_study() ( #2112 )
2021-02-01 13:51:11 -08:00
be9edffded
Update test.py --task speed and study ( #2099 )
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* Add --speed benchmark
* test range 256 - 1536
* update
* update
* update
* update
2021-01-31 13:58:49 -08:00
a18efc3a73
Add variable-stride inference support ( #2091 )
2021-01-30 13:47:23 -08:00
630ec06af6
Update to colors.TABLEAU_COLORS ( #2069 )
2021-01-28 12:37:21 -08:00
f639e14e4d
Metric-Confidence plots feature addition ( #2057 )
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* Metric-Confidence plots feature addition
* cleanup
* Metric-Confidence plots feature addition
* cleanup
* Update run-once lines
* cleanup
* save all 4 curves to wandb
2021-01-27 17:10:53 -08:00
f59f80114c
Add 'exclude' tuple to check_requirements() ( #2041 )
2021-01-26 21:17:36 -08:00
59c21c7bcb
W&B log epoch ( #1946 )
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* W&B log epoch
* capitalize
* W&B log epoch
* capitalize
* Update train.py
New try using https://docs.wandb.ai/library/log#incremental-logging
* Update train.py
* Update test.py
* Update train.py
* Update plots.py
* Update train.py
* Update train.py
* label plot step -1
* update
* update
* update
* update
* update
* update
* Update train.py
* Update train.py
2021-01-26 21:16:01 -08:00
08d3119e09
Add histogram equalization fcn ( #2049 )
2021-01-26 17:30:42 -08:00
8fcbe43423
Check im.format during dataset caching ( #2042 )
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* Check im.format during dataset caching
* Update datasets.py
2021-01-25 20:55:35 -08:00
3b7feeafdf
Update general.py check_git_status() fix ( #2020 )
2021-01-22 15:59:01 -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
77fd83225f
Update google_utils.py ( #2017 )
2021-01-22 15:08:42 -08:00
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
d9212140b3
Add xywhn2xyxy() ( #1983 )
2021-01-19 13:33:52 -08:00
b1cf25dd9a
check_git_status() asserts ( #1977 )
2021-01-18 10:49:28 -08:00
17751b9891
Update autoanchor.py with yaml.SafeLoader ( #1971 )
2021-01-18 10:47:42 -08:00
35400dc7b7
Update plots.py with yaml.SafeLoader ( #1968 )
2021-01-18 10:46:20 -08:00
b26a2f6242
check_git_status() when not exist /workspace ( #1966 )
2021-01-17 11:55:25 -08:00
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
ca9babb8e6
Add ComputeLoss() class ( #1950 )
2021-01-15 13:50:24 -08:00
b75c432ea0
GitHub API rate limit fallback ( #1930 )
2021-01-13 21:09:50 -08:00
051e9e80de
check_git_status() bug fix ( #1925 )
2021-01-13 10:25:53 -08:00
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
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
1d1c0567a4
PyTorch Hub results.render() ( #1897 )
2021-01-10 20:06:11 -08:00
ffef77124e
Update torch_utils.py ( #1895 )
2021-01-10 12:26:29 -08:00
0f11aaf551
GitHub API rate limit newline ( #1894 )
2021-01-10 11:47:00 -08:00
d06ad3bc3d
GitHub API rate limit fix ( #1894 )
2021-01-10 11:42:45 -08:00
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
fea9c9b80c
nn.SiLU() citation correction ( #1713 )
2021-01-06 20:58:41 -08:00
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
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
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
* 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
2021-01-04 19:54:09 -08:00
0e341c5660
Create one_cycle() function ( #1836 )
2021-01-04 15:49:08 -08:00
9f5a18bb80
Torch CUDA synchronize update ( #1826 )
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* torch.cuda.synchronize() update
* torch.cuda.synchronize() update
* torch.cuda.synchronize() update
* newline
2021-01-03 11:23:12 -08:00
c0ffcdf998
Display correct CUDA devices ( #1776 )
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* Display correct CUDA devices
* cleanup
2020-12-24 13:01:35 -08:00
3004fb5bc1
Automatic m.half() profile on x.half()
2020-12-21 15:20:33 -08:00
0bd9c48609
Update torch_utils.py
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FLOPS to GFLOPS
2020-12-21 13:29:52 -08:00
394d1c89f3
Input channel yaml['ch'] addition ( #1741 )
2020-12-19 10:54:01 -08:00
685d601308
Increase plot_labels() speed ( #1736 )
2020-12-18 18:05:38 -08:00
49abc722fc
Update profile_idetection() ( #1727 )
2020-12-18 01:19:17 -08:00
d5289b54c4
clean_str() function addition ( #1674 )
...
* clean_str() function addition
* cleanup
* add euro symbol €
* add closing exclamation (spanish)
* cleanup
2020-12-17 17:20:20 -08:00
6bd5e8bca7
nn.SiLU() export support ( #1713 )
2020-12-16 17:55:57 -08:00
1fc9d42a64
NMS --classes 0 bug fix ( #1710 )
2020-12-16 08:58:51 -08:00
8bc0027afc
Update loss criteria constructor ( #1711 )
2020-12-16 08:39:35 -08:00
035ac82ed0
Fix torch multi-GPU --device error ( #1701 )
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* Fix torch GPU error
* Update torch_utils.py
single-line device =
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2020-12-15 20:42:14 -08:00
69ea70cd3b
Add idetection_profile() function to plots.py ( #1700 )
2020-12-15 18:35:47 -08:00
54043a9fa4
Streaming --save-txt bug fix ( #1672 )
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* Streaming --save-txt bug fix
* cleanup
2020-12-11 15:45:32 -08:00
ada90e3901
Profile() feature addition ( #1673 )
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* Profile() feature addition
* cleanup
2020-12-11 09:30:39 -08:00
94a7f55c4e
FReLU bias=False bug fix ( #1666 )
2020-12-10 13:06:15 -08:00
2e8e02745b
vast.ai compatability updates ( #1657 )
2020-12-09 19:01:08 -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
84f9bb5d92
Normalized mosaic plotting bug fix ( #1647 )
2020-12-08 18:44:13 -08:00
0bb43953eb
Reinstate PR curve sentinel values ( #1645 )
2020-12-08 17:40:49 -08:00
68e6ab668b
Hub device mismatch bug fix ( #1619 )
2020-12-06 17:53:38 +01:00
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
8918e63476
Increase FLOPS robustness ( #1608 )
2020-12-05 11:41:34 +01:00
f010147578
Update matplotlib.use('Agg') tight ( #1583 )
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* Update matplotlib tight_layout=True
* udpate
* udpate
* update
* png to ps
* update
* update
2020-12-02 15:53:16 +01:00
784feae30a
Update matplotlib svg backend ( #1580 )
2020-12-02 14:05:12 +01:00
577f298d9b
plot_images() scale bug fix ( #1566 )
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fix bugs in plot_images
2020-12-01 11:29:59 +01:00
b6ed1104a6
Daemon thread plotting ( #1561 )
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* Daemon thread plotting
* remove process_batch
* plot after print
2020-11-30 16:44:14 +01:00
cff9263490
f.read().strip() ( #1551 )
2020-11-29 11:59:52 +01:00
9fa7f9f598
f.read().strip()
2020-11-29 11:58:14 +01:00
96a84468b9
Update labels_to_image_weights() ( #1545 )
2020-11-28 12:25:45 +01:00
c9798ae0e1
Update plot_study_txt() ( #1533 )
2020-11-26 22:18:17 +01:00
0f2057ed33
Targets scaling bug fix ( #1529 )
2020-11-26 18:33:28 +01:00
2c3efa430b
Mosaic plots bug fix ( #1526 )
2020-11-26 14:02:22 +01:00
12499f1c01
--image_weights bug fix ( #1524 )
2020-11-26 13:25:51 +01:00
9728e2b8ae
--image_weights bug fix ( #1524 )
2020-11-26 11:49:01 +01:00
e9a0ae6f19
Cache bug fix ( #1513 )
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* Caching bug fix #1508
* np.zeros((0,5)) x2
2020-11-25 20:33:14 +01:00
b3ceffb513
Add QFocalLoss() ( #1482 )
...
* Update loss.py
implement the quality focal loss which is a more general case of focal loss
more detail in https://arxiv.org/abs/2006.04388
In the obj loss (or the case cls loss with label smooth), the targets is no long barely be 0 or 1 (can be 0.7), in this case, the normal focal loss is not work accurately
quality focal loss in behave the same as focal loss when the target is equal to 0 or 1, and work accurately when targets in (0, 1)
example:
targets:
tensor([[0.6225, 0.0000, 0.0000],
[0.9000, 0.0000, 0.0000],
[1.0000, 0.0000, 0.0000]])
___________________________
pred_prob:
tensor([[0.6225, 0.2689, 0.1192],
[0.7773, 0.5000, 0.2227],
[0.8176, 0.8808, 0.1978]])
____________________________
focal_loss
tensor([[0.0937, 0.0328, 0.0039],
[0.0166, 0.1838, 0.0199],
[0.0039, 1.3186, 0.0145]])
______________
qfocal_loss
tensor([[7.5373e-08, 3.2768e-02, 3.9179e-03],
[4.8601e-03, 1.8380e-01, 1.9857e-02],
[3.9233e-03, 1.3186e+00, 1.4545e-02]])
we can see that targets[0][0] = 0.6255 is almost the same as pred_prob[0][0] = 0.6225,
the targets[1][0] = 0.9 is greater then pred_prob[1][0] = 0.7773 by 0.1227
however, the focal loss[0][0] = 0.0937 larger then focal loss[1][0] = 0.0166 (which against the purpose of focal loss)
for the quality focal loss , it implement the case of targets not equal to 0 or 1
* Update loss.py
2020-11-25 19:32:27 +01:00
2026d4c5eb
Update caching ( #1496 )
2020-11-24 16:25:21 +01:00
bde5d9aaaa
Update caching ( #1496 )
2020-11-24 16:23:00 +01:00
0822cda781
Update caching ( #1496 )
2020-11-24 16:22:02 +01:00
89c7a5b8dc
Update caching ( #1496 )
2020-11-24 16:13:04 +01:00
44f42b1589
changed prints to logging in utils/datasets ( #1315 )
...
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2020-11-24 16:03:19 +01:00
7aeef2dca5
Prevent PR plotting ( #1489 )
2020-11-24 00:46:01 +01:00
354109c54c
Autosplit ( #1488 )
2020-11-23 18:35:25 +01:00
4798e66fdf
Autosplit ( #1488 )
2020-11-23 17:18:21 +01:00
0a3ff71ae0
Confusion matrix ( #1474 )
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* initial commit
* add plotting
* matrix to cpu
* bug fix
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* seaborn pandas to requirements.txt
* seaborn pandas to requirements.txt
* update wandb plotting
* remove pandas
* if plots
* if plots
* if plots
* if plots
* if plots
* initial commit
* add plotting
* matrix to cpu
* bug fix
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* update plot
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* cleanup
* seaborn pandas to requirements.txt
* seaborn pandas to requirements.txt
* update wandb plotting
* remove pandas
* if plots
* if plots
* if plots
* if plots
* if plots
* Cat apriori to autolabels
* cleanup
2020-11-23 15:27:14 +01:00
95fa65339f
Cat apriori to autolabels ( #1484 )
2020-11-23 13:38:47 +01:00
201bafc7cf
Sync train and test iou_thresh ( #1465 )
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* Sync train and test iou_thresh
* Sync train and test iou_thresh
* weights names .lower()
* Notebook update
2020-11-21 12:38:35 +01:00
a70e554fc3
Remove redundant downloads mirror ( #1461 )
2020-11-20 13:10:56 +01:00
394131c2aa
Use torchvision.ops.nms ( #1460 )
2020-11-20 11:23:36 +01:00
05a955a3f6
FLOPS computation device bug fix ( #1447 )
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* 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>
2020-11-19 12:56:20 +01:00
64bce3c822
Update labels.png with rectangles fix ( #1432 )
2020-11-18 12:27:30 +01:00
1542ccadb2
Update labels.png with rectangles ( #1432 )
2020-11-18 00:17:33 +01:00
4250f84dfb
Update PR curve ( #1428 )
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* Update PR curve
* legend outside
* list(Path().glob())
2020-11-17 17:29:55 +01:00
8d2d6d2349
Update img2label_paths() ( #1414 )
2020-11-17 13:26:06 +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
92c9b72832
Matplotlib AGG backend ( #1413 )
2020-11-16 16:34:07 +01:00
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
9c91aeae10
W&B logging add hyperparameters ( #1399 )
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* W&B logging add hyperparameters
* hyp bug fix and image logging updates
* if plots and wandb:
* cleanup
* wandb/ gitignore add
* cleanup 2
* cleanup 3
* move wandb import to top of file
* wandb evolve
* update import
* wandb.run.finish()
* default anchors: 3
2020-11-16 13:35:34 +01:00
9f27902368
Improved FLOPS computation ( #1398 )
2020-11-14 14:48:55 +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
c4addd7761
Unified '/project/name' results saving ( #1377 )
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* Project/name update
* Update ci-testing.yml
* address project with path separator failure mode
* Project/name update
* address project with path separator failure mode
* Update ci-testing.yml
* detect.py default --name bug fix
* missing rstrip PR
* train/exp0 to train/exp
2020-11-12 23:37:46 +01:00
67bf9a974e
Replace 'ground truth' with 'labels' ( #1337 )
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* Replace 'ground truth' with 'labels'
* Using torch... update
2020-11-10 14:15:03 +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
4821d076e2
Increment train, test, detect runs/ ( #1322 )
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* Increment train, test, detect runs/
* Update ci-testing.yml
* inference/images to data/images
* move images
* runs/exp to runs/train/exp
* update 'results saved to %s' str
2020-11-08 19:39:05 +01:00
d3e7778151
imap bug fix
2020-11-07 02:27:31 +01:00
194f16844e
Multi-threaded image caching
2020-11-07 02:18:18 +01:00
ea7e78cb11
Grid indices overflow bug fix ( #1316 )
2020-11-06 19:17:50 +01:00
fed5d9cdfb
Grid indices overflow bug fix ( #1313 )
2020-11-06 13:40:11 +01:00
2062765e06
auto-download v3.1 models ( #1259 )
2020-11-01 20:11:41 +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
453acdec67
Update tensorboard logging
2020-10-26 01:08:33 +01:00
8e9b3d0205
Precision-Recall Curve feature update #1206
2020-10-25 12:59:16 +01:00
ed85038c38
Precision-Recall Curve feature update ( #1206 )
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* Precision-Recall Curve feature update
* sentinel value update
2020-10-25 12:55:52 +01:00
481d46cffb
Improved corruption handling during scan and cache ( #999 )
2020-10-24 15:09:19 +02:00
d61930e017
Improved corruption handling during scan and cache ( #999 )
2020-10-24 14:50:50 +02:00
9291daa6f7
fix padding for rectangular inference ( #1165 )
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Co-authored-by: swsong <swsong@stratosphere.mobi>
2020-10-19 12:22:22 +02:00
3b57cb5641
Simplified inference ( #1153 )
2020-10-15 20:10:08 +02:00
c67e72200e
fix compatibility for hyper config ( #1146 )
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* fix/hyper
* Hyp giou check to train.py
* restore general.py
* train.py overwrite fix
* restore general.py and pep8 update
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2020-10-15 15:05:58 +02:00
4d3680c81d
Minor import and spelling updates ( #1133 )
2020-10-13 17:24:27 +02:00
00917a6225
update expt name comment and folder parsing for training ( #978 )
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* comment
* fix parsing
* fix evolve
* folder
* tqdm
* Update train.py
* Update train.py
* reinstate anchors into meta dict
anchor evolution is working correctly now
* reinstate logger
prefer the single line readout for concise logging, which helps simplify notebook and tutorials etc.
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2020-10-13 14:10:21 +02:00
0ada058f63
Generalized regression criterion renaming ( #1120 )
2020-10-11 17:25:17 +02:00
5fac5ad165
Precision-Recall Curve Feature Addition ( #1107 )
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* initial commit
* Update general.py
Indent update
* Update general.py
refactor duplicate code
* 200 dpi
2020-10-09 14:50:59 +02:00
124f0e8212
torchvision nms bug fix
2020-10-06 15:09:24 +02:00
883924d9dc
classifier, export, torch seed updates
2020-10-06 14:54:02 +02:00
c5d2331897
Fix increment_dir to use run_xxx for logdir ( #1058 )
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* Fix increment_dir to use run_xxx for logdir
Rerunning train.py with logdir in the form of `run_xxx` causes index slicing in
```
n = max([int(x[len(dir):x.find('_') if '_' in Path(x).name else None]) for x in d]) + 1 # increment
```
to underflow.
* Replace find with rfind
2020-10-05 15:46:32 +02:00
7220cee1d1
mosaic4 bottom left image fix ( #1021 )
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fix a bug in load_mosaic
2020-09-23 09:51:33 -07:00
702c4fa53e
adding the configuration to deploy yolov5 in in app engine ( #964 )
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* add the configuration to deploy yolov5 in a docker container in app engine on google cloud
* remove the duplicated requirements, place the google app engine files in utils
* remove the unused requirements
Co-authored-by: guilhembau <guilhem@6dbytes.com>
2020-09-22 11:48:44 -07:00
89655a84f2
.fuse() gradient introduction bug fix
2020-09-20 11:57:19 -07:00
5a9c5c1d3b
add mosaic and warmup to hyperparameters ( #931 )
2020-09-13 14:08:06 -07:00
f1c63e2784
add mosaic and warmup to hyperparameters ( #931 )
2020-09-13 14:03:54 -07:00
806e75f2b1
self.label_files bug fix ( #958 )
2020-09-13 11:38:23 -07:00
c54e39464c
check_file() assert unique
2020-09-11 14:33:06 -07:00
720645d96a
LoadImagesAndLabels() /images/ to /labels/ fix ( #928 )
2020-09-10 12:29:05 -07:00
d49c52eee3
_RepeatSampler outside of InfiniteDataLoader
2020-09-10 12:27:35 -07:00
9c0efdde9f
glob.glob(recursive=True) search ( #917 )
2020-09-06 22:52:28 -07:00
bc1fd13a7a
gsutil cp hyp evolution bug fix ( #876 )
2020-09-03 20:29:08 -07:00
44cdcc7e0b
hyp['anchors'] evolution update
2020-09-03 12:54:22 -07:00
ffe9eb4238
remove if platform.system() == 'Darwin' checks
2020-09-03 11:41:33 -07:00
c5969f79f5
add support for DWConv fuse operation ( #898 )
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* the value should be a list to unpacking
* filter the None labels
* update readme to remove apex dependency
* add support for DWConv fuse operation
2020-09-01 22:18:42 -07:00
d3f9bf2bb7
Update datasets.py
2020-09-01 17:02:47 -07:00
1e15aad6f9
Add InfiniteDataLoader class ( #876 )
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* Add InfiniteDataLoader
Only initializes at first epoch. Saves time.
* Moved class to a better location
2020-08-31 11:01:25 -07:00
987c226849
seaborn plotting correlogram addition
2020-08-29 15:13:58 -07:00
9776e70988
torch.ops.torchvision.nms ( #860 )
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Don't load the entire torchvision library just for nms when the function is already in the torch library.
2020-08-27 11:13:41 -07:00
31d6c389f2
Update general.py plot_evolution()
2020-08-25 23:08:14 -07:00
455f7b8f76
Update general.py ( #823 )
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Fixes #822
`init_seeds` from `torch_utils` import is being overwritten by function `init_seeds` in `general.py`
2020-08-25 13:01:17 -07:00
5a7d79fbe6
Update general.py bbox_iou() with eps improvements ( #736 )
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eps reduced to 1e-9 for additional precaution.
2020-08-25 12:56:39 -07:00
82ed33a052
generalize webcam detection with opt.source.isnumeric() (yolov3 #1462 )
2020-08-25 11:07:38 -07:00
4d7f222f73
Update export.py with v3.0 Hardswish() support
2020-08-24 21:47:49 -07:00
8666bc507e
Create evolve.sh for infinite hyp evolution
2020-08-24 20:27:28 -07:00
71209a6099
exportable Hardswish() implementation
2020-08-22 16:59:31 -07:00
f7e075fe93
gsutil cp yaml when evolving to GCP bucket
2020-08-22 15:47:39 -07:00
9dbaa1bbbe
Update plot_results()
2020-08-22 15:32:05 -07:00
ea5e97fb9b
FP16 NMS ( #814 )
2020-08-21 14:44:25 -07:00
b42e8a531b
optimize imports
2020-08-20 21:17:40 -07:00
5e0b90de8f
CIoU nan bug fix ( #736 )
2020-08-20 10:37:55 -07:00
ebafd1ead5
single command --resume ( #756 )
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* single command --resume
* else check files, remove TODO
* argparse.Namespace()
* tensorboard lr
* bug fix in get_latest_run()
2020-08-17 16:28:43 -07:00
26c3b11fdc
Update torch_utils.py ( #751 )
2020-08-16 13:58:59 -07:00
f5da528d28
reformat code
2020-08-14 11:53:44 -07:00
66744a0df1
Update utils/google_utils.py ( #733 )
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To download weights from v3.0 instead of v2.0
2020-08-13 18:44:14 -07:00
916d4aad9a
v3.0 Release ( #725 )
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* initial commit
* remove yolov3-spp from test.py study
* update study --img range
* update mAP
* cleanup and speed updates
* update README plot
2020-08-13 14:25:05 -07:00
56c2c344ff
Fix list paths ( #721 )
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* Add list paths on check_dataset
* missing raise statement
* Update general.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2020-08-12 18:53:38 -07:00
a925f283a7
max workers for dataloader ( #722 )
2020-08-12 13:57:36 -07:00
d2da523053
Merge remote-tracking branch 'origin/master'
2020-08-11 20:11:58 -07:00
9f482cbcb8
utils.general comment updates/bug fixes
2020-08-11 20:11:44 -07:00
1f92422e20
Github release assets model autodownload ( #711 )
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* assets autodownload
* Update google_utils.py
* Update google_utils.py
* Update google_utils.py
* Update google_utils.py
* Update google_utils.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2020-08-11 17:17:24 -07:00
4949401a94
Fix redundant outputs via Logging in DDP training ( #500 )
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* 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>
2020-08-11 11:18:45 -07:00
542833c997
Filter the None labels ( #705 )
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* the value should be a list to unpacking
* filter the None labels
2020-08-11 11:15:48 -07:00
9ae868364a
the value should be a list to unpacking ( #688 )
2020-08-10 11:23:48 -07:00
41523e2c91
Dataset autodownload feature addition ( #685 )
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* initial commit
* move download scripts into data/scripts
* new check_dataset() function in general.py
* move check_dataset() out of with context
* Update general.py
* DDP update
* Update general.py
2020-08-09 20:52:57 -07:00
3c6e2f7668
Single-source training ( #680 )
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* 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
2020-08-09 02:12:44 -07:00
3fcd365ba3
Fix curl download on Windows ( #669 )
2020-08-07 12:13:55 -07:00
fe5b3f8712
Fix curl download on Windows ( #669 )
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* Update ci-testing.yml
* Fix windows download
* Fix cookie and curl download issue from gdrive
* Revert "Update ci-testing.yml"
This reverts commit 7389d2238d
2020-08-07 12:10:59 -07:00
7eaf225d55
zero-target training bug fix ( #609 )
2020-08-05 13:35:31 -07:00
f346da9f2b
update activations.py
2020-08-03 17:18:31 -07:00
d5b6416c87
Explicit Imports ( #498 )
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* expand imports
* optimize
* miss
* fix
2020-08-02 15:47:36 -07:00
Glenn Jocher
Yann Defretin
Yonghye Kwon
Ryan Avery
Iden Craven
xiaowo1996
NanoCode012
Transigent
train255
Ayush Chaurasia
Abhiram V
Tommy in Tongji
Polydefkis Gkagkos
Hu Ye
yxNONG
igornishka
yujun
Jacobsolawetz
Shiwei Song
Jirka Borovec
Jiacong Fang
haoyuefan
Guilhen
tkianai
rafale77
Willie Maddox
Francisco Ingham
Quan Lin
Hatovix
Marc