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rksltnl / Deep-Metric-Learning-CVPR16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
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gen_caffe_dataset_multilabel_m128.m run error #15

Closed yja1 closed 7 years ago

yja1 commented 7 years ago

执行gen_caffe_dataset_multilabel_m128.m 的时候报错： Deleted 31 data pairs from negatives for batch divisibility Writing level db.. Invalid MEX-file '/home/yja/caffecode/lifted_caffe/code/serialized_pairs_to_leveldb.mexa64': libcaffe.so.1.0.0-rc3: cannot open shared object file: No such file or directory Error in gen_caffe_dataset_multilabel_m128 (line 88) 但是已经做了compile.m 生成了serialized_pairs_to_leveldb.mexa64。希望您帮看下，谢谢！

AshutoshMI777 commented 7 years ago

How did you solve the issue? @yja1

Ashutosh1995 commented 7 years ago

How did you solve the issue? @yja1

yja1 commented 7 years ago

在同目录下做一个libcaffe的软连接

------------------ 原始邮件 ------------------ 发件人: "Ashutosh Mishra";notifications@github.com; 发送时间: 2017年7月26日(星期三) 下午4:19 收件人: "rksltnl/Deep-Metric-Learning-CVPR16"Deep-Metric-Learning-CVPR16@noreply.github.com; 抄送: "1094110236"1094110236@qq.com; "Mention"mention@noreply.github.com; 主题: Re: [rksltnl/Deep-Metric-Learning-CVPR16]gen_caffe_dataset_multilabel_m128.m run error (#15)

How did you solve the issue? @yja1

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Ashutosh1995 commented 7 years ago

Can you please write it in english?

yja1 commented 7 years ago

make a link for libcaffe.so in the same folder with gen_caffe_dataset_multilabel_m128.m

------------------ 原始邮件 ------------------ 发件人: "Ashutosh Mishra";notifications@github.com; 发送时间: 2017年7月26日(星期三) 下午5:16 收件人: "rksltnl/Deep-Metric-Learning-CVPR16"Deep-Metric-Learning-CVPR16@noreply.github.com; 抄送: "1094110236"1094110236@qq.com; "Mention"mention@noreply.github.com; 主题: Re: [rksltnl/Deep-Metric-Learning-CVPR16]gen_caffe_dataset_multilabel_m128.m run error (#15)

Can you please write it in english?

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Ashutosh1995 commented 7 years ago

Libcaffe.so is in the caffe directory i.e. /caffe/build/lib and the gen_caffe_dataset_multilabel_m128.m matlab code is in code directory of the project. Could you please elaborate more as to how to make the link?

yja1 commented 7 years ago

or you can copy libcaffe.so.1.0.0-rc3 (in the caffe directory) to gen_caffe_dataset_multilabel_m128.m folder

------------------ 原始邮件 ------------------ 发件人: "Ashutosh Mishra";notifications@github.com; 发送时间: 2017年7月26日(星期三) 下午5:30 收件人: "rksltnl/Deep-Metric-Learning-CVPR16"Deep-Metric-Learning-CVPR16@noreply.github.com; 抄送: "1094110236"1094110236@qq.com; "Mention"mention@noreply.github.com; 主题: Re: [rksltnl/Deep-Metric-Learning-CVPR16]gen_caffe_dataset_multilabel_m128.m run error (#15)

Libcaffe.so is in the caffe directory i.e. /caffe/build/lib and the gen_caffe_dataset_multilabel_m128.m code is in code directory of the project. Could you please elaborate more as to how to make the link?

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Ashutosh1995 commented 7 years ago

I copied libcaffe.so in the folder containing the gen_caffe_dataset_multilabel_m128.m code but it gives the following error:

Invalid MEX-file '/users/amishra/code/serialized_pairs_to_leveldb.mexa64': /users/amishra/caffe/caffe-master/build/lib/libcaffe.so.1.0.0: undefined symbol:_ZN2cv8imencodeERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERKNS_11_InputArrayERSt6vectorIhSaIhEERKSB_IiSaIiEE

yja1 commented 7 years ago

copy libcaffe.so.1.0.0-rc3 not libcaffe.so. and run in .m file folder: ln -s libcaffe.so.1.0.0-rc3 libcaffe.so

------------------ 原始邮件 ------------------ 发件人: "Ashutosh Mishra";notifications@github.com; 发送时间: 2017年7月26日(星期三) 晚上6:02 收件人: "rksltnl/Deep-Metric-Learning-CVPR16"Deep-Metric-Learning-CVPR16@noreply.github.com; 抄送: "1094110236"1094110236@qq.com; "Mention"mention@noreply.github.com; 主题: Re: [rksltnl/Deep-Metric-Learning-CVPR16]gen_caffe_dataset_multilabel_m128.m run error (#15)

I copied libcaffe.so in the folder containing the gen_caffe_dataset_multilabel_m128.m code but it gives the following error:

Invalid MEX-file '/users/amishra/code/serialized_pairs_to_leveldb.mexa64': /users/amishra/caffe/caffe-master/build/lib/libcaffe.so.1.0.0: undefined symbol:_ZN2cv8imencodeERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERKNS_11_InputArrayERSt6vectorIhSaIhEERKSB_IiSaIiEE

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Ashutosh1995 commented 7 years ago

I did but after executing the command libcaffe.so pops up and I get the same error as before.

yja1 commented 7 years ago

you can try this, in .m file folder run: rm libcaffe.so
ln -s libcaffe.so.1.0.0-rc3 /users/amishra/caffe/caffe-master/build/lib/libcaffe.so ln -s libcaffe.so.1.0.0-rc3 /users/amishra/caffe/caffe-master/build/lib/libcaffe.so.1.0.0

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I did but after executing the command libcaffe.so pops up and I get the same error as before.

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Ashutosh1995 commented 7 years ago

I did it and it says:

ln: failed to create symbolic link '/users/amishra/caffe/caffe-master/build/lib/libcaffe.so.1.0.0': File exists

yja1 commented 7 years ago

can you show you folder files of gen_caffe_dataset_multilabel_m128.m

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I did it and it says:

ln: failed to create symbolic link '/users/amishra/caffe/caffe-master/build/lib/libcaffe.so.1.0.0': File exists

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Ashutosh1995 commented 7 years ago

These are the files in the folder containing the matlab code of gen_caffe_multilabel_m128.m

128.py config.m evaluation find_dups.m gen_caffe_dataset_multilabel_m128.m gen_caffe_validation_imageset.m gen_images.m gen_splits.m get_training_examples_multilabel.m IIITCFWdata.mat imageset_to_leveldb.cpp imageset_to_leveldb.mexa64 libcaffe.so.1.0.0-rc3 load_cropped_images.m queryInfo.mat realFaces savefast.m serialized_pairs_to_leveldb.cpp serialized_pairs_to_leveldb.mexa64 serialized_triplets_to_leveldb.cpp splits.mat training_images_crop15_square256.mat validation_images_crop15_square256.mat

yja1 commented 7 years ago

sorry, run this: rm libcaffe.so
ln -s /users/amishra/caffe/caffe-master/build/lib/libcaffe.so.1.0.0-rc3 libcaffe.so ln -s /users/amishra/caffe/caffe-master/build/lib/libcaffe.so.1.0.0-rc3 libcaffe.so.1.0.0

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These are the files in the folder containing the matlab code of gen_caffe_multilabel_m128.m

128.py config.m evaluation find_dups.m gen_caffe_dataset_multilabel_m128.m gen_caffe_validation_imageset.m gen_images.m gen_splits.m get_training_examples_multilabel.m IIITCFWdata.mat imageset_to_leveldb.cpp imageset_to_leveldb.mexa64 libcaffe.so.1.0.0-rc3 load_cropped_images.m queryInfo.mat realFaces savefast.m serialized_pairs_to_leveldb.cpp serialized_pairs_to_leveldb.mexa64 serialized_triplets_to_leveldb.cpp splits.mat training_images_crop15_square256.mat validation_images_crop15_square256.mat

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Ashutosh1995 commented 7 years ago

I did exactly what you said but the error still not goes, rather now it is:

Invalid MEX-file '/users/amishra/code/serialized_pairs_to_leveldb.mexa64': libcaffe.so.1.0.0: cannot open shared object file: No such file or directory

Ashutosh1995 commented 7 years ago

Hey @yja1 @rksltnl , please suggest some alternative to this error

The reason it gives error I think because both the .so files are in the same folder.

Do they need to be in the same or what needs to be done?

rksltnl commented 7 years ago

Did you follow the Caffe installation instructions? Are Pycaffe and Matcaffe installed?

Ashutosh1995 commented 7 years ago

Yes I have installed caffe according to the instructions given on the CAFFE page

rksltnl commented 7 years ago

Which version of Caffe? Did you install the included submodule version? https://github.com/rksltnl/Caffe-Deep-Metric-Learning-CVPR16

Ashutosh1995 commented 7 years ago

No, I didn't install the submodule version. I am following the steps of training in the first part. Do I need to install it?

rksltnl commented 7 years ago

Yes it's possible that something got changed in recent Caffe and isn't compatible with the submodule version. Please try the submodule Caffe version.

Ashutosh1995 commented 7 years ago

I figured out that matcaffe wasn't installed and it was a mistake on my part. After doing the necessary installations and re-checking it again, though I did not install the Caffe submodule version as it is giving some error to build, I get the same error Invalid MEX file error when following the basic installation steps

Please help me in this !!

Ashutosh1995 commented 7 years ago

With which version of cuDNN have you compiled the submodule version as I have CUDA version 8 and cuDNN version 5.1.5 but it gives error in cudnn.hpp: error: argument of type "int" is incompatible with parameter of type "cudnnNanPropagation_t"