daijifeng001 / caffe-rfcn Goto Github PK

Caffe branch for R-FCN

License: Other

CMake 2.78% Makefile 0.71% Shell 0.35% C++ 79.06% Cuda 6.12% MATLAB 1.01% M 0.01% Python 8.18% Protocol Buffer 1.65% Batchfile 0.14%

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caffe-rfcn's Issues

How to use it!

How could i use it to train my own dataset? Is there a demo available? Thanks

error: argument of type "int" is incompatible with parameter of type "cudnnNanPropagation_t"

When I build caffe-rfcn,I get errors:

错误	382	error : argument of type "int" is incompatible with parameter of type "cudnnNanPropagation_t"	C:\Users\dell\Downloads\caffe-rfcn\include\caffe\util\cudnn.hpp	128	1	libcaffe
错误	383	error : too few arguments in function call	C:\Users\dell\Downloads\caffe-rfcn\include\caffe\util\cudnn.hpp	128	1	libcaffe
错误	384	error : argument of type "int" is incompatible with parameter of type "cudnnNanPropagation_t"	C:\Users\dell\Downloads\caffe-rfcn\include\caffe\util\cudnn.hpp	128	1	libcaffe
错误	385	error : too few arguments in function call	C:\Users\dell\Downloads\caffe-rfcn\include\caffe\util\cudnn.hpp	128	1	libcaffe
错误	402	error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin\nvcc.exe" -gencode=arch=compute_35,code=\"sm_35,compute_35\" -gencode=arch=compute_52,code=\"sm_52,compute_52\" -gencode=arch=compute_61,code=\"sm_61,compute_61\" --use-local-env --cl-version 2013 -ccbin "C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\bin\x86_amd64"  -I"C:\Users\dell\Downloads\NugetPackages\lmdb-v120-clean.0.9.14.0\build\native\..\..\lib\native\include" -I"C:\Users\dell\Downloads\NugetPackages\LevelDB-vc120.1.2.0.0\build\native\../..//build/native/include/" -I"C:\Users\dell\Downloads\NugetPackages\protobuf-v120.2.6.1\build\native\../..//build/native/include/" -IC:\Users\dell\Downloads\NugetPackages\glog.0.3.3.0\build\native\../..//build/native/include/ -IC:\Users\dell\Downloads\NugetPackages\gflags.2.1.2.1\build\native\../..///build/native/include/ -IC:\Users\dell\Downloads\NugetPackages\boost.1.59.0.0\build\native\..\..\lib\native\include\ -I"C:\Users\dell\Downloads\NugetPackages\hdf5-v120-complete.1.8.15.2\build\native\..\..\lib\native\include" -IC:\Users\dell\Downloads\NugetPackages\OpenBLAS.0.2.14.1\build\native\..\..\lib\native\include -IC:\Users\dell\Downloads\NugetPackages\OpenCV.2.4.10\build\native\../../build/native/include/ -I"C:\Users\dell\Downloads\caffe-rfcn\windows\libcaffe\\..\..\src\\" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include"  -G -lineinfo  --keep-dir C:\Users\dell\Downloads\caffe-rfcn\windows\..\Build\Int\libcaffe\x64\Debug -maxrregcount=0  --machine 64 --compile -cudart static -Xcudafe "--diag_suppress=exception_spec_override_incompat --diag_suppress=useless_using_declaration --diag_suppress=field_without_dll_interface" -D_SCL_SECURE_NO_WARNINGS -DGFLAGS_DLL_DECL= -g   -DHAS_LMDB -DHAS_HDF5 -DHAS_OPENBLAS -DHAS_OPENCV -D_DEBUG -D_SCL_SECURE_NO_WARNINGS -DUSE_OPENCV -DUSE_LEVELDB -DUSE_LMDB -DMATLAB_MEX_FILE -DWITH_PYTHON_LAYER -DBOOST_PYTHON_STATIC_LIB -DUSE_CUDNN -D_UNICODE -DUNICODE -Xcompiler "/EHsc /W1 /nologo /Od /FS /Zi /RTC1 /MDd " -o C:\Users\dell\Downloads\caffe-rfcn\windows\..\Build\Int\libcaffe\x64\Debug\base_data_layer.cu.obj "C:\Users\dell\Downloads\caffe-rfcn\src\caffe\layers\base_data_layer.cu"”已退出，返回代码为 2。	C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\V120\BuildCustomizations\CUDA 8.0.targets	687	9	libcaffe

My build environment is Windows 7+CUDA 8.0+CUDNN 5.1.
Is caffe-rfcn not support CUDA8.0+CUDNN 5.1?
Do you have any idea with the problem?

Thank you.

Question about softmax_loss_layer

Hi, I find two extra lines in softmax_loss_layer.cpp

// Fix a bug which occurs with more than one output
softmax_param.clear_loss_weight();

And I'm not sure why you add these or what will happen if I delete these two lines.

how to train my own datasets?

Thanks for devoting this project ! there is no demo_rfcn.py in tools file of my project? how should i train my own datasets? thank you !

Is this version compatible for faster rcnn?

caffe compiling problem:"box_annotator_ohem_layer.cu(50): error: a template argument may not reference a local type";

I met a problem during compiling caffe, I post the screenshot image as below. The problem is "box_annotator_ohem_layer.cu(50): error: a template argument may not reference a local type"; I add "-std=C++11" in makefile of caffe, however , the problem is still there. So have you met the problem during compiling caffe?

I use Ubuntu16.04, cuda9.0, cudnn7.0.3;

fatal error LNK1149: output filename matches input filename

i want build caffe-rfcn on windows 10. i build caffeproto and caffe successfully but cant build caffe.bin.
when i try build caffe.bin this error occur:

 1>------ Build started: Project: caffe.bin, Configuration: Release x64 ------
1>LINK : fatal error LNK1149: output filename matches input filename 'D:\Artificial Intelligence\Deep Learning\Src\Caffe Branch\caffe-rfcn-r-fcn\caffe-rfcn-r-fcn\Build\lib\Release\caffe.lib'
========== Build: 0 succeeded, 1 failed, 3 up-to-date, 0 skipped ==========

my property command line :

/OUT:"D:\Artificial Intelligence\Deep Learning\Src\Caffe Branch\caffe-rfcn-r-fcn\caffe-rfcn-r-fcn\Build\tools\Release\caffe_rfcn.exe"

/IMPLIB:"D:/Artificial Intelligence/Deep Learning/Src/Caffe Branch/caffe-rfcn-r-fcn/caffe-rfcn-r-fcn/Build/lib/Release/caffe.lib"

why this error happen?

How to run GPU trained caffe model in CPU mode?

Hi,

I have used caffe framework for training text detection model using GPU mode. There are 4 such models are running simultaneously for 4 different use-cases. Running more than 2 models giving me CUDA memory error, so i increased compute power of my AWS EC2 instance to g4dn.12xlarge which costing me much higher and it is going beyond my budget.

So i am trying to inferencing this GPU trained caffe model to run in CPU mode and throw output so that my cost will be minimum. Please note training the model in GPU mode is done, i just wanted to use this model to run in CPU mode or CPU EC2 instance and get the output.

I tried below option:

Step 1:
Made changes in file "psroi_pooling_layer.cpp" as mentioned in below link and saved it.
https://github.com/daijifeng001/caffe-rfcn/pull/10/files

Step 2:
Set "caffe.set_mode_cpu()" and ran the script and getting error like "check failure stack trace"
Changes in code:

Error screen-shot:

Please let me know where I am doing wrong or do I need to perform some additional steps?

Your quick response and help will be much appreciated.

Thank you,
Amar