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ChenYingpeng / caffe-yolov3

A real-time object detection framework of Yolov3/v4 based on caffe
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在运行demo时出现"段错误 (核心已转储)" #72

Open zhudongming opened 4 years ago

zhudongming commented 4 years ago

... 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 commented 4 years ago

I meet the same issue.

zhudongming commented 4 years ago

Have you solved it？

AshingTsai commented 4 years ago

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

WorstCodeWay commented 3 years ago

@AshingTsai Have you fixed it? And how?

jiangkunkun1993 commented 3 years ago

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 commented 3 years ago

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 commented 3 years ago

谢谢您！我尝试下。

---原始邮件--- 发件人: "jiangkunkun1993"<notifications@github.com> 发送时间: 2021年1月7日(周四) 中午1:28 收件人: "ChenYingpeng/caffe-yolov3"<caffe-yolov3@noreply.github.com>; 抄送: "Mention"<mention@noreply.github.com>;"朱东明"<1096044389@qq.com>; 主题: Re: [ChenYingpeng/caffe-yolov3] 在运行demo时出现"段错误 (核心已转储)" (#72)

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

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