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在运行demo时出现"段错误 (核心已转储)" #72

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zhudongming opened this issue May 27, 2020 · 7 comments
Open

在运行demo时出现"段错误 (核心已转储)" #72

zhudongming opened this issue May 27, 2020 · 7 comments

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@zhudongming
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...
I0527 11:52:03.417479 19486 layer_factory.hpp:77] Creating layer layer7-conv
I0527 11:52:03.417486 19486 net.cpp:86] Creating Layer layer7-conv
I0527 11:52:03.417490 19486 net.cpp:408] layer7-conv <- layer6-conv
I0527 11:52:03.417493 19486 net.cpp:382] layer7-conv -> layer7-conv
I0527 11:52:03.419570 19486 net.cpp:124] Setting up layer7-conv
I0527 11:52:03.419590 19486 net.cpp:131] Top shape: 1 64 304 304 (5914624)
I0527 11:52:03.419595 19486 net.cpp:139] Memory required for data: 666873856
I0527 11:52:03.419600 19486 layer_factory.hpp:77] Creating layer layer7-bn
I0527 11:52:03.419608 19486 net.cpp:86] Creating Layer layer7-bn
I0527 11:52:03.419612 19486 net.cpp:408] layer7-bn <- layer7-conv
I0527 11:52:03.419617 19486 net.cpp:369] layer7-bn -> layer7-conv (in-place)
I0527 11:52:03.419777 19486 net.cpp:124] Setting up layer7-bn
I0527 11:52:03.419785 19486 net.cpp:131] Top shape: 1 64 304 304 (5914624)
I0527 11:52:03.419787 19486 net.cpp:139] Memory required for data: 690532352
I0527 11:52:03.419796 19486 layer_factory.hpp:77] Creating layer layer7-scale
I0527 11:52:03.419802 19486 net.cpp:86] Creating Layer layer7-scale
I0527 11:52:03.419806 19486 net.cpp:408] layer7-scale <- layer7-conv
I0527 11:52:03.419811 19486 net.cpp:369] layer7-scale -> layer7-conv (in-place)
I0527 11:52:03.419839 19486 layer_factory.hpp:77] Creating layer layer7-scale
I0527 11:52:03.420562 19486 net.cpp:124] Setting up layer7-scale
I0527 11:52:03.420573 19486 net.cpp:131] Top shape: 1 64 304 304 (5914624)
I0527 11:52:03.420576 19486 net.cpp:139] Memory required for data: 714190848
I0527 11:52:03.420581 19486 layer_factory.hpp:77] Creating layer layer7-act
I0527 11:52:03.420586 19486 net.cpp:86] Creating Layer layer7-act
I0527 11:52:03.420589 19486 net.cpp:408] layer7-act <- layer7-conv
I0527 11:52:03.420594 19486 net.cpp:369] layer7-act -> layer7-conv (in-place)
I0527 11:52:03.420600 19486 net.cpp:124] Setting up layer7-act
I0527 11:52:03.420604 19486 net.cpp:131] Top shape: 1 64 304 304 (5914624)
I0527 11:52:03.420608 19486 net.cpp:139] Memory required for data: 737849344
I0527 11:52:03.420610 19486 layer_factory.hpp:77] Creating layer layer8-shortcut
I0527 11:52:03.420614 19486 net.cpp:86] Creating Layer layer8-shortcut
I0527 11:52:03.420617 19486 net.cpp:408] layer8-shortcut <- layer5-conv_layer5-act_0_split_1
I0527 11:52:03.420621 19486 net.cpp:408] layer8-shortcut <- layer7-conv
段错误 (核心已转储)

@AshingTsai
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I meet the same issue.

@zhudongming
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Have you solved it?

@AshingTsai
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@zhudongming
no.
I think the darknet2caffe convert have some problem.

@WorstCodeWay
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@AshingTsai Have you fixed it? And how?

@jiangkunkun1993
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hi,i have met the same problem, did you solved it .could you leave email message or wechat. my email is 811149649@qq.com

@jiangkunkun1993
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您好,我之前也遇到了这个问题,现在解决了,是因为我的caffe没有安装好,你要确保caffe 安装成功,cd 到caffe 下 sudo make all -j8
sudo make runtest -j8 sudo make pycaffe -j8 编译没有报错后说明caffe安装成功。当安装成功caffe后按照darknet2caffe的项目转换成功yolov4.caffemodel就可以了

@zhudongming
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zhudongming commented Jan 7, 2021 via email

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