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25 Open 3 Closed
25 Open 3 Closed
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Issues list

INT8 ONNX quantization
#28 opened Jun 3, 2024 by violet2422
请问这个 c++ demo入和运行
#27 opened Jul 24, 2023 by tongchangD
1
File "convert_onnx.py", line 57, in <module> del utl_param['24.anchor_grid'] KeyError: '24.anchor_grid'
#26 opened Aug 31, 2022 by jybian621
3
python 如何用opencv部署？
#25 opened Feb 22, 2022 by xiaodingding
1
cpp 加载模型失败 Required argument "starts" not found into dictionary in function 'get' 求助！！！！
#24 opened Feb 22, 2022 by Naughty-Galileo
2
error. can you help me plz
#23 opened Nov 4, 2021 by tuyeen1509
1
error: (-215:Assertion failed) model_proto.has_graph() in function 'populateNet'
#22 opened Oct 12, 2021 by yzl1014
4
模型是yolov5哪个版本跑出的 ultralytics / yolov5
#21 opened Sep 2, 2021 by zkailinzhang
2
undefined symbol: _ZN2cv3dnn14dnn4_v202009083Net7forwardERKNS_12
#20 opened Sep 1, 2021 by zkailinzhang
1
terminate called after throwing an instance of 'cv::Exception'
#19 opened Aug 27, 2021 by zkailinzhang
推理的置信度过高
#18 opened Aug 17, 2021 by iwanggp
1
标注的confidences全都太高，接近于1
#17 opened Jul 21, 2021 by wangchunin
3
导出ONNX的问题
#16 opened Jul 13, 2021 by Caliburne
2
如何使用GPU加速？
#15 opened Jul 8, 2021 by linshangqiang
2
为什么需要原始anchors？
#14 opened Jun 28, 2021 by henbucuoshanghai
1
C++版本检测不到物体
#13 opened Jun 26, 2021 by JinXiangLai
8
Encoding Outputs to Bounding boxes
#12 opened May 27, 2021 by leykun10
Does it work for own pretrained weights?
#11 opened May 20, 2021 by SFE92
1
OpenCV开了cuda加速，但是没有提升，会是什么原因呢？
#10 opened May 19, 2021 by cucrui
Error and optimization
#8 opened Apr 19, 2021 by samsha1971
1
support yolov5-fpn.py?
#7 opened Mar 10, 2021 by anas-899
how to get _param.pth?
#5 opened Jan 31, 2021 by qianmin
6
cv2.error:
#4 opened Jan 25, 2021 by jsjs0827
1
run convert_onnx.py , I get the warning TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! route = F.interpolate(xRt3, size=(int(xRt3.shape[2] * 2), int(xRt3.shape[3] * 2)), mode='nearest')
#3 opened Jan 22, 2021 by xuwei1119
1
How to run?
#1 opened Jan 17, 2021 by alikarimi120
4
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