安裝opencv-cuda版本

安裝opencv-cuda

有好事之徒（好心人）已經編譯了opencv3.4.2帶cuda的版本，直接用env的控制台安裝

conda install -c oddconcepts opencv-cuda 

在spyder IDE裡 import cv2

會提示，找不到libjasper.so.1

這是因為ubuntu 在17.04之後取消了libjasper-dev了，（按其他教程要裝這個那都是ubuntu 16.04的，在18.04裡是裝不上的）

Note that 

libjasper-dev

 has been removed from Ubuntu 17.04 (https://launchpad.net/ubuntu/zesty/amd64/libjasper-dev/1.900.1-debian1-2.4+deb8u1), and they suggest to use OpenJPEG instead (https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=812630).

Since OpenCV uses 

jasper

 trying to install it manually may be an option.

那麼還是在env裡用conda裝，但是注意不要搜libjasper，可能裝上的是.a的靜态庫版本，那麼還是會找不到.so

這麼裝：

conda install -c conda-forge jasper

然後應該 import cv2時不報錯。

這時，檢查一下opencv安裝的情況：

print(cv2.getBuildInformation())

我這裡的資訊是：

General configuration for OpenCV 3.4.2 =====================================

Version control: 3.4.2

Extra modules:

Location (extra): /home/tee/anaconda3/conda-bld/opencv-cuda_1534922162608/work/opencv_contrib-3.4.2/modules

Version control (extra): 3.4.2

Platform:

Timestamp: 2018-08-22T07:16:54Z

Host: Linux 4.4.0-130-generic x86_64

CMake: 3.9.4

CMake generator: Unix Makefiles

CMake build tool: /usr/bin/make

Configuration: Release

CPU/HW features:

Baseline: SSE SSE2 SSE3

requested: SSE3

Dispatched code generation: SSE4_1 SSE4_2 FP16 AVX AVX2 AVX512_SKX

requested: SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX

SSE4_1 (3 files): + SSSE3 SSE4_1

SSE4_2 (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2

FP16 (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX

AVX (4 files): + SSSE3 SSE4_1 POPCNT SSE4_2 AVX

AVX2 (8 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2

AVX512_SKX (0 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2 AVX_512F AVX512_SKX

C/C++:

Built as dynamic libs?: YES

C++ Compiler: /usr/bin/c++ (ver 5.4.0)

C++ flags (Release): -I/home/machinelearning/anaconda3/envs/cuda-opencv/include -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wno-narrowing -Wno-delete-non-virtual-dtor -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -fopenmp -O3 -DNDEBUG -DNDEBUG

C++ flags (Debug): -I/home/machinelearning/anaconda3/envs/cuda-opencv/include -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wno-narrowing -Wno-delete-non-virtual-dtor -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -fopenmp -g -O0 -DDEBUG -D_DEBUG

C Compiler: /usr/bin/cc

C flags (Release): -I/home/machinelearning/anaconda3/envs/cuda-opencv/include -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-narrowing -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fopenmp -O3 -DNDEBUG -DNDEBUG

C flags (Debug): -I/home/machinelearning/anaconda3/envs/cuda-opencv/include -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-narrowing -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -fopenmp -g -O0 -DDEBUG -D_DEBUG

Linker flags (Release): 

Linker flags (Debug): 

ccache: NO

Precompiled headers: YES

Extra dependencies: dl m pthread rt cudart nppc nppial nppicc nppicom nppidei nppif nppig nppim nppist nppisu nppitc npps cublas cufft -L/usr/local/cuda/lib64

3rdparty dependencies:

OpenCV modules:

To be built: aruco bgsegm bioinspired calib3d ccalib core cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev datasets dpm face features2d flann freetype fuzzy hdf hfs highgui img_hash imgcodecs imgproc java_bindings_generator line_descriptor ml objdetect optflow phase_unwrapping photo plot python3 python_bindings_generator reg rgbd saliency shape stereo stitching structured_light superres surface_matching tracking video videoio videostab xfeatures2d ximgproc xobjdetect xphoto

Disabled: js world

Disabled by dependency: dnn_objdetect text

Unavailable: cnn_3dobj cvv dnn java matlab ovis python2 sfm ts viz

Applications: apps

Documentation: NO

Non-free algorithms: NO

GUI:

Media I/O: 

ZLib: /home/machinelearning/anaconda3/envs/cuda-opencv/lib/libz.so (ver 1.2.11)

JPEG: build-libjpeg-turbo (ver 1.5.3-62)

WEBP: build (ver encoder: 0x020e)

PNG: build (ver 1.6.34)

TIFF: build (ver 42 - 4.0.9)

JPEG 2000: /usr/lib/x86_64-linux-gnu/libjasper.so (ver 1.900.1)

OpenEXR: build (ver 1.7.1)

HDR: YES

SUNRASTER: YES

PXM: YES

Video I/O:

DC1394: YES (ver 2.2.4)

FFMPEG: YES

avcodec: YES (ver 58.18.100)

avformat: YES (ver 58.12.100)

avutil: YES (ver 56.14.100)

swscale: YES (ver 5.1.100)

avresample: YES (ver 4.0.0)

GStreamer: NO

libv4l/libv4l2: NO

v4l/v4l2: linux/videodev2.h

gPhoto2: NO

Parallel framework: OpenMP

Trace: YES (with Intel ITT)

Other third-party libraries:

Intel IPP: 2017.0.3 [2017.0.3]

at: /home/tee/anaconda3/conda-bld/opencv-cuda_1534922162608/work/build/3rdparty/ippicv/ippicv_lnx

Intel IPP IW: sources (2017.0.3)

at: /home/tee/anaconda3/conda-bld/opencv-cuda_1534922162608/work/build/3rdparty/ippicv/ippiw_lnx

Lapack: NO

Eigen: YES (ver 3.3.3)

Custom HAL: NO

NVIDIA CUDA: YES (ver 9.2, CUFFT CUBLAS)

NVIDIA GPU arch: 30 35 37 50 52 60 61 70

NVIDIA PTX archs:

Python 3:

Interpreter: /home/machinelearning/anaconda3/envs/cuda-opencv/bin/python (ver 3.6.6)

Libraries: /home/machinelearning/anaconda3/envs/cuda-opencv/lib/libpython3.6m.so (ver 3.6.6)

numpy: /home/machinelearning/anaconda3/envs/cuda-opencv/lib/python3.6/site-packages/numpy/core/include (ver 1.11.3)

packages path: /home/machinelearning/anaconda3/envs/cuda-opencv/lib/python3.6/site-packages

Python (for build): /home/machinelearning/anaconda3/envs/cuda-opencv/bin/python

Java: 

ant: NO

JNI: NO

Java wrappers: NO

Java tests: NO

Install to: /home/machinelearning/anaconda3/envs/cuda-opencv

标紅的部分說明opencv成功找到了cuda。