3f74cd9ed1
Parameterize max_det + inference default at 1000 ( #3215 )
* Added max_det parameters in various places
* 120 character line
* PEP8
* 120 character line
* Update inference default to 1000 instances
* Update inference default to 1000 instances
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
3年前
be86c21c73
rename class autoShape -> AutoShape ( #3173 )
* rename class autoShape -> AutoShape
follow other class naming convention
* rename class autoShape -> AutoShape
follow other classes' naming convention
* rename class autoShape -> AutoShape
3年前
57812df68c
New Colors() class ( #2963 )
3年前
c949fc86d1
Detection cropping+saving feature addition for detect.py and PyTorch Hub ( #2827 )
* 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>
3年前
c15e25c40f
PyTorch Hub cv2 .save() .show() bug fix ( #2831 )
* 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.
3年前
b5de52c4cd
torch.cuda.amp bug fix ( #2750 )
PR https://github.com/ultralytics/yolov5/pull/2725 introduced a very specific bug that only affects multi-GPU trainings. Apparently the cause was using the torch.cuda.amp decorator in the autoShape forward method. I've implemented amp more traditionally in this PR, and the bug is resolved.
3年前
fca5e2a48f
autocast enable=torch.cuda.is_available() ( #2748 )
3年前
c03d590320
Add Hub results.pandas() method ( #2725 )
* 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
3年前
ec8979f1d2
Updated filename attributes for YOLOv5 Hub BytesIO ( #2718 )
Fix 2 for 'Model predict with forward will fail if PIL image does not have filename attribute' #2702
3年前
74276d5189
Updated filename attributes for YOLOv5 Hub results ( #2708 )
Proposed fix for 'Model predict with forward will fail if PIL image does not have filename attribute' #2702
3年前
17300a4c7b
autoShape forward im = np.asarray(im) # to numpy ( #2689 )
Slight speedup.
3年前
2af059c0d8
PyTorch Hub model.save() increment as runs/hub/exp ( #2684 )
* PyTorch Hub model.save() increment as runs/hub/exp
This chane will align PyTorch Hub results saving with the existing unified results saving directory structure of
runs/
/train
/detect
/test
/hub
/exp
/exp2
...
* cleanup
3年前
1148e2ea63
Add TransformerLayer, TransformerBlock, C3TR modules ( #2333 )
* yolotr
* transformer block
* Remove bias in Transformer
* Remove C3T
* Remove a deprecated class
* put the 2nd LayerNorm into the 2nd residual block
* move example model to models/hub, rename to -transformer
* Add module comments and TODOs
* Remove LN in Transformer
* Add comments for Transformer
* Solve the problem of MA with DDP
* cleanup
* cleanup find_unused_parameters
* PEP8 reformat
Co-authored-by: DingYiwei <846414640@qq.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
3年前
2bf34f50fd
PyTorch Hub amp.autocast() inference ( #2641 )
I think this should help speed up CUDA inference, as currently models may be running in FP32 inference mode on CUDA devices unnecesarily.
3年前
005d7a8c54
Update Detections() self.n comment ( #2620 )
```python
self.n = len(self.pred) # number of images (batch size)
```
3年前
a57f23d18b
Update detections() self.t = tuple() ( #2617 )
* Update detections() self.t = tuple()
Fix multiple results.print() bug.
* Update experimental.py
* Update yolo.py
3年前
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年前
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年前
f813f6dcc8
autoShape() speed profiling update ( #2460 )
3年前
569757ecc0
Add autoShape() speed profiling ( #2459 )
* Add autoShape() speed profiling
* Update common.py
* Create README.md
* Update hubconf.py
* cleanuip
3年前
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年前
5f42643a53
Unified hub and detect.py box and labels plotting ( #2243 )
3年前
db28ce61ac
Improved hubconf.py CI tests ( #2251 )
3年前
9d87307784
YOLOv5 Hub URL inference bug fix ( #2250 )
* Update common.py
* Update common.py
* Update common.py
3年前
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年前
404749a33c
PyTorch Hub results.save('path/to/dir') ( #2179 )
3年前
2fc4760257
Update autoshape .print() and .save() ( #2022 )
3年前
aac33f87ad
Update inference multiple-counting ( #2019 )
* Update inference multiple-counting
* update github check
3年前
1d1c0567a4
PyTorch Hub results.render() ( #1897 )
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
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年前
799724108f
Update C3 module ( #1705 )
3年前
fa8f1fb0e9
Simplify autoshape() post-process ( #1653 )
* Simplify autoshape() post-process
* cleanup
* cleanup
3年前
ba48f867ea
Add bias to Classify() ( #1601 )
3年前
199c9c7874
Detection() device bug fix ( #1455 )
4年前
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年前
f5429260ca
PyTorch Hub and autoShape update ( #1415 )
* PyTorch Hub and autoShape update
* comment x for imgs
* reduce comment
4年前
15a10609fe
autoshape() update for PIL greyscale inputs ( #1279 )
* autoshape update for PIL greyscale inputs
* autoshape update for PIL greyscale inputs
4年前
3b57cb5641
Simplified inference ( #1153 )
4年前
c4cb78570c
add NMS to pretrained pytorch hub models
4年前
916d4aad9a
v3.0 Release ( #725 )
* initial commit
* remove yolov3-spp from test.py study
* update study --img range
* update mAP
* cleanup and speed updates
* update README plot
4年前
d5b6416c87
Explicit Imports ( #498 )
* expand imports
* optimize
* miss
* fix
4年前
a97c3f94ec
update common.py Classify()
4年前
5387d4747d
update common.py add Classify()
4年前
1fca7a7f24
autopad() update in common.py
4年前
b5659d1195
module updates
4年前
e071b8dd3a
update models/common.py for Conv() flexible padding
4年前
a814720403
PyTorch Hub updates
4年前
ff02ae0869
module updates
4年前
12b0c046d5
model fusion and onnx export
4年前
Adrian Holovaty
Yonghye Kwon
Glenn Jocher
Burhan
Ding Yiwei
Ayush Chaurasia
Yann Defretin
Daniel Khromov
NanoCode012
Jirka Borovec