run error

[pengxiaoxiao]

./extract_gpu -f /home/shawxiao/Two-stream-Network/workspace/dense_flow/videos/test.avi -x /home/shawxiao/Two-stream-Network/workspace/dense_flow/tmp/flow_x -y /home/shawxiao/Two-stream-Network/workspace/dense_flow/tmp/flow_y -i /home/shawxiao/Two-stream-Network/workspace/dense_flow/tmp/image -b 20 -t 1 -d 0 -s 1 -o dir -w 256 -h 256

[pengxiaoxiao]

OpenCV Error: Gpu API call (no kernel image is available for execution on the device) in call, file /home/shawxiao/opencv/opencv-2.4.13/modules/gpu/include/opencv2/gpu/device/detail/transform_detail.hpp, line 361
terminate called after throwing an instance of 'cv::Exception'
what(): /home/shawxiao/opencv/opencv-2.4.13/modules/gpu/include/opencv2/gpu/device/detail/transform_detail.hpp:361: error: (-217) no kernel image is available for execution on the device in function call

[pengxiaoxiao]

I saw your answers in github, and I tryed it but not worked, why?

[Chelsea111]

Hi, Did you solve this problem?

[ZWJ-here]

计算力不匹配的问题
未设置前opencv在cmake的输出是这样的：计算力是30 35 37
NVIDIA CUDA
Use CUFFT: YES
Use CUBLAS: YES
USE NVCUVID：NO
NVIDIA GPU arch: 30 35 37
NVIDIA PTX archs:
Use fast math:NO
#Note:6.1为GTX1080的计算能力,不同显卡需要根据自己的计算能力进行修改
#查询显卡计算能力，可以通过运行cuda samples中的deviceQuery得知。
#（文件夹NVIDIA_CUDA-*_Samples下编译示例， *为版本号）
如果设置成功,cmake界面会有如下显示（我的显卡是1080ti）：
NVIDIA CUDA
Use CUFFT: YES
Use CUBLAS: YES
USE NVCUVID：NO
NVIDIA GPU arch: 61
NVIDIA PTX archs:61
Use fast math:NO

GPU arch/PTX archs都被设置为6.1
但如果运气不佳，添加编译选项并不能解决问题。
这时候需要修改opencv中关于CUDA计算能力这部分的配置文件./cmake/OpenCVDetectCUDA.cmake。
在
set(CUDA_ARCH_BIN ${__cuda_arch_bin} CACHE STRING "Specify 'real' GPU architectures to build binaries for, BIN(PTX) format is supported")
set(CUDA_ARCH_PTX ${__cuda_arch_ptx} CACHE STRING "Specify 'virtual' PTX architectures to build PTX intermediate code for")
之前添加
set(__cuda_arch_bin "6.1")
set(__cuda_arch_ptx "6.1")
保存后cmake上面那一段，重新将opencv cmake make make install一遍出现正确的计算能力显示61

最后重新编译dense_flow