Parameterize ONNX `--opset-version` (#3154)
9ab561d
unverified
Cristi Fati
commited on
Commit History
rename class autoShape -> AutoShape (#3173)
be86c21
unverified
Add `--include torchscript onnx coreml` argument (#3137)
d9b4e6b
unverified
Add --optimize argument (#3093)
525f4f8
unverified
Update P5 + P6 model ensembling (#3082)
251aeaf
unverified
Update export.py with --train mode argument (#3066)
e97d129
unverified
Do not optimize CoreML TorchScript model (#3055)
3ef3a95
unverified
Fix ONNX export using --grid --simplify --dynamic simultaneously (#2982)
b292837
unverified
Add support for FP16 (half) to export.py (#3010)
e2a80c6
unverified
YOLOv5 AWS Inferentia Inplace compatibility updates (#2953)
41f5cc5
unverified
New Colors() class (#2963)
57812df
unverified
Add yolov5/ to sys.path() for *.py subdir exec (#2949)
4200674
unverified
Improved yolo.py profiling (#2940)
4890499
unverified
Add verbose option to pytorch hub models (#2926)
c0d3f80
unverified
Add file_size() function (#2911)
1b1ab4c
unverified
Update export.py for 2 dry runs (#2910)
646386f
unverified
Update export.py (#2909)
a2a514d
unverified
Default optimize_for_mobile() on TorchScript models (#2908)
28db237
unverified
Update yolo.py (#2899)
cdb678f
unverified
Implement yaml.safe_load() (#2876)
f7bc685
unverified
Detection cropping+saving feature addition for detect.py and PyTorch Hub (#2827)
c949fc8
unverified
Fix ONNX dynamic axes export support with onnx simplifier, make onnx simplifier optional (#2856)
1df8c6c
unverified
PyTorch Hub cv2 .save() .show() bug fix (#2831)
c15e25c
unverified
ONNX Simplifier (#2815)
1f3e482
unverified
YOLOv5 v5.0 Release patch 1 (#2764)
0f395b3
unverified
torch.cuda.amp bug fix (#2750)
b5de52c
unverified
autocast enable=torch.cuda.is_available() (#2748)
fca5e2a
unverified
Add Hub results.pandas() method (#2725)
c03d590
unverified
Updated filename attributes for YOLOv5 Hub BytesIO (#2718)
ec8979f
unverified
Updated filename attributes for YOLOv5 Hub results (#2708)
74276d5
unverified
autoShape forward im = np.asarray(im) # to numpy (#2689)
17300a4
unverified
PyTorch Hub model.save() increment as runs/hub/exp (#2684)
2af059c
unverified
Add TransformerLayer, TransformerBlock, C3TR modules (#2333)
1148e2e
unverified
PyTorch Hub amp.autocast() inference (#2641)
2bf34f5
unverified
Update Detections() self.n comment (#2620)
005d7a8
unverified
Update detections() self.t = tuple() (#2617)
a57f23d
unverified
Update Detections() times=None (#2570)
1c132a1
unverified
Improved W&B integration (#2125)
e8fc97a
unverified
autoShape() speed profiling update (#2460)
f813f6d
unverified
Add autoShape() speed profiling (#2459)
569757e
unverified
GPU export options (#2297)
7a0a81f
unverified
Anchor override (#2350)
a3ecf0f
unverified
EMA bug fix 2 (#2330)
fab5085
unverified
remove TTA 1 pixel offset (#2325)
fd96810
unverified
Update yolo.py (#2120)
cbd55da
unverified
oleg
Oleg Boiko
glenn-jocher
train255
ab-101
Transigent
Nanobit
Daniel Khromov
VdLMV
Jaap van de Loosdrecht
Yann Defretin
Aditya Lohia
Shivam Swanrkar
xiaowo1996
Iden Craven
Jan Hajek
Jan Hajek
commited on
glenn-jocher
train255
ab-101
Transigent
Nanobit
Daniel Khromov
VdLMV
Jaap van de Loosdrecht
Yann Defretin
Aditya Lohia
Shivam Swanrkar
xiaowo1996
Iden Craven
Jan Hajek
Jan Hajek
commited on
Dynamic ONNX engine generation (#2208)
95aefea
unverified
Update inference default to multi_label=False (#2252)
c09964c
unverified
Unified hub and detect.py box and labels plotting (#2243)
5f42643
unverified
Yann Defretin
commited on