Is there something missing in the folder 'pylibs'？

I am using a Ubuntu 18.04, CUDA 9.0, Python 2.7, Scikit-learn 0.17.1, Numpy 1.16.4, Scipy 1.2.2 and cPickle 1.71, opencv 3.2.0 and nvcc is 9.0, V9.0.176.

I am trying to run the following command
python main.py --l ./datasets/ArtL/im0.png --r ./datasets/ArtL/im1.png --w 694 --h 554 --d 128 --model ./modelall_4m.rf --prob_save_path ./
But I get the following output:

Cost volume: ./.prob.npy not exists!
Batch testing
Iterations: 4.0
Progress |██████████████████████████████████████████████████| 100.0% Complete
CUDA initialized.
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
Error: no kernel image is available for execution on the device
0.346982002258
Saved ./results/disp.pfm

My guess is it's a problem with the CUDA architecture, any suggestion?
Also, what does this output number mean?
This is what my disp.pfm looks like:

Any help will be appreciated :) thanks!

C:\ProgramData\Anaconda3\lib\site-packages\sklearn\base.py:310: UserWarning: Trying to unpickle estimator DummyClassifier from version 0.22.1 when using version 0.24
.1. This might lead to breaking code or invalid results. Use at your own risk.
warnings.warn(

Hello,

I am using Method 2 from README, first two steps ran successfully.
However when I run step 3: cd ~/cbmv-cvpr18/cpp/rectification/Debug && make clean && make
I get the error: ../rectification.cpp:12:10: fatal error: opencv2/xfeatures2d.hpp: No such file or directory
#include "opencv2/xfeatures2d.hpp"
When I issue: python on my server's terminal, and request version for cv2, I get:

cv2.version
'3.2.0'

I understand that xfeatures2d.hpp comes under the contrib package of openCV - any suggestion how I can get this to work?

Thanks,
Agni.

配置好环境之后，如何实现这个项目？？？？？？ 望大神不吝赐教

Hello,

After I run the following command from Method1 described on README:
cd ~/cbmv-cvpr18/cpp/ && mkdir build && cd build && cmake .. && build

I get the error:
MSBUILD: error MSBUILD0003: Please specify the project or solution file to build, as none was found in the current directory
I can see the cmake command has created the aforementioned files but cant find the solution file. Any suggestion?

Thanks,
Agni.

@ccj5351 The error after running make, I hope to get the author's answer. Looking forward for your reply, thank you.

hi, Thank you for your wonderful work. Can u provide the information of your dataset?

Hello, thanks for you excellent work.
Recently, when i test the CBMV using your example command:

python main.py --l ./datasets/ArtL/im0.png --r ./datasets/ArtL/im1.png --w 694 --h 554 --d 128 --model ./modelall_4m.rf --prob_save_path ./

but it returns that UserWarning: Trying to unpickle estimator DecisionTreeClassifier from version pre-0.18 when using version 0.18.1. This might lead to breaking code or invalid results. Use at your own risk.

After searching for method to resolve it, i found that it's the conflict of scikit-learn version. Can you show us the scikit-learn version you use to save the model?

Or could you save the model by scikit-learn 0.18.1, and reload the new version of Model.

Thanks.

When I try to run: cd ~/cbmv-cvpr18/cpp/post/ && make clean && make

I get a GNU version 6.0 error, because I have GNU 7.0:
cd ~/ICE/cbmv-cvpr18/cpp/post/ && make clean && make
rm -rf *.so *.o
nvcc -arch=sm_52 --default-stream per-thread -O3 -L/usr/lib -lboost_python -lpython2.7 -I/usr/include/python2.7 -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include -Xcompiler -fopenmp -Xcompiler -fPIC --shared post.cu -o post.so
In file included from /usr/include/host_config.h:50:0,
from /usr/include/cuda_runtime.h:78,
from :0:
/usr/include/crt/host_config.h:121:2: error: #error -- unsupported GNU version! gcc versions later than 6 are not supported!
#error -- unsupported GNU version! gcc versions later than 6 are not supported!
^~~~~
In file included from /usr/include/common_functions.h:50:0,
from /usr/include/cuda_runtime.h:115,
from :0:
/usr/local/include/boost/config/compiler/nvcc.hpp:22:34: error: token ""CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."" is not valid in preprocessor expressions
#if !defined(CUDACC_VER) || (CUDACC_VER < 70500)
^
/usr/local/include/boost/config/compiler/nvcc.hpp:26:6: error: token ""CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."" is not valid in preprocessor expressions
#if (CUDACC_VER > 80000) && (CUDACC_VER < 80100)
^
makefile:27: recipe for target 'post.so' failed
make: *** [post.so] Error 1

Will I NOT be able to run the code if I have GCC GNU version above 6.0?

Agni.