在超极本上本来不想编译了,反正没有cuda。但发现即使下载的opencv_contrib也不包含sift等等nonfree库了,要自己编译开编译选项才可以。坑啊,自己编译吧。反正opencv已经这么庞大了,也不得不自己编译了。

小坑若干,折腾1天。记之。

下载opencv和opencv_contrb 直接从github上下载:

https://github.com/opencv/opencv/archive/master.zip

https://github.com/opencv/opencv_contrib/archive/master.zip

20191231更新:

FFMPEG: Download: ffmpeg_version.cmake

Try 1 failed

参考 https://www.cnblogs.com/huluwa508/p/10142718.html

cd 到

XXX\opencv-master\.cache\ffmpeg

发现

2个dll下载好了

但是.cmake文件下载不到

ad57c038ba34b868277ccbe6dd0f9602-ffmpeg_version.cmake

而cmake的下载地址,根据

XXX\opencv-master\build\CMakeDownloadLog.txt

#do_copy "ffmpeg_version.cmake" "ad57c038ba34b868277ccbe6dd0f9602" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/a66a24e9f410ae05da4baeeb8b451912664ce49c/ffmpeg/ffmpeg_version.cmake" "D:/soft/dev/opencv/opencv-master/build/3rdparty/ffmpeg"
#missing "D:/soft/dev/opencv/opencv-master/build/3rdparty/ffmpeg/ffmpeg_version.cmake"

直接用科学方法打开标红的链接,发现只是个纯文本文件

set(FFMPEG_libavcodec_FOUND 1)
set(FFMPEG_libavformat_FOUND 1)
set(FFMPEG_libavutil_FOUND 1)
set(FFMPEG_libswscale_FOUND 1)
set(FFMPEG_libavresample_FOUND 1)

set(FFMPEG_libavcodec_VERSION 58.54.100)
set(FFMPEG_libavformat_VERSION 58.29.100)
set(FFMPEG_libavutil_VERSION 56.31.100)
set(FFMPEG_libswscale_VERSION 5.5.100)
set(FFMPEG_libavresample_VERSION 4.0.0)

直接复制内容,粘贴到 体积为0的cmake文件ad57c038ba34b868277ccbe6dd0f9602-ffmpeg_version.cmake 中,保存完事。

如果报warning:

CMake Warning at cmake/OpenCVGenSetupVars.cmake:54 (message):

CONFIGURATION IS NOT SUPPORTED: validate setupvars script in install   directory Call Stack (most recent call first)

去掉这个编译选项,应该没啥用

1 vs2017

也就是所谓的vc15. 要检测是否安装了完整的C++功能和cmake支持,用vs 的installer可以选上。

否则cmake的configure都会报错。

2python3配置

python3的路径一个一个补上:注意library 很迷惑,有python3.lib和 .a的。注意区别

其他要注意的也就是这些了,那个OPENCV_PYTHON3_VERSION没啥用,选上好像就编译cv2.pyd不过了。保持空就可以。

基本上多点几次Configure,直到不报错就OK。

然后Generate,然后进vs2017,"ALL_BUILD"  右键"生成",经过漫长编译,如果正常,应该全都编译成功。之前因为python编译不过,卡了半天。

然后“INSTALL” “生成”,但python路径下仍然没有看见cv2.pyd

3手动安装opencv_python

想起应该是win10加强了C盘权限的管理,进命令行都得用管理员权限了。

那么:直接用管理员权限启动PowerShell,cd到之前设置的 opencv的build路径(我给设置了D:\soft\dev\opencv\build),找到instal

我这里是

D:\soft\dev\opencv\build\install\python

要用develop来安装,不是常用的install否则会报错

ImportError: ERROR: recursion is detected during loading of "cv2" binary extensions. Check OpenCV installation.

https://github.com/opencv/opencv/issues/13202

python setup.py develop

然后就能又在py上使用sift了

编译完成,在python环境里查看信息

>>> import cv2
>>> print(cv2.getBuildInformation())

General configuration for OpenCV 4.2.0-dev =====================================
Version control: unknown

Extra modules:
Location (extra): D:/soft/dev/opencv/opencv_contrib-master/modules
Version control (extra): unknown

Platform:
Timestamp: 2019-12-31T05:29:29Z
Host: Windows 6.1.7601 AMD64
CMake: 3.16.2
CMake generator: Visual Studio 15 2017
CMake build tool: C:/Program Files (x86)/Microsoft Visual Studio/2017/Professional/MSBuild/15.0/Bin/MSBui
ld.exe
MSVC: 1916

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 (16 files): + SSSE3 SSE4_1
SSE4_2 (2 files): + SSSE3 SSE4_1 POPCNT SSE4_2
FP16 (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX
AVX (5 files): + SSSE3 SSE4_1 POPCNT SSE4_2 AVX
AVX2 (29 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2
AVX512_SKX (6 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2 AVX_512F AVX512_COMMON AVX512_SKX

C/C++:
Built as dynamic libs?: YES
C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Professional/VC/Tools/MSVC/14.16.27
023/bin/Hostx86/x64/cl.exe (ver 19.16.27034.0)
C++ flags (Release): /DWIN32 /D_WINDOWS /W4 /GR /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D
_SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /fp:precise /EHa /wd4127 /wd4251 /wd4324 /wd4275 /wd4512 /wd4589 /MP8 /M
D /O2 /Ob2 /DNDEBUG
C++ flags (Debug): /DWIN32 /D_WINDOWS /W4 /GR /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D
_SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /fp:precise /EHa /wd4127 /wd4251 /wd4324 /wd4275 /wd4512 /wd4589 /MP8 /M
Dd /Zi /Ob0 /Od /RTC1
C Compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Professional/VC/Tools/MSVC/14.16.27
023/bin/Hostx86/x64/cl.exe
C flags (Release): /DWIN32 /D_WINDOWS /W3 /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SC
L_SECURE_NO_WARNINGS /Gy /bigobj /Oi /fp:precise /MP8 /MD /O2 /Ob2 /DNDEBUG
C flags (Debug): /DWIN32 /D_WINDOWS /W3 /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SC
L_SECURE_NO_WARNINGS /Gy /bigobj /Oi /fp:precise /MP8 /MDd /Zi /Ob0 /Od /RTC1
Linker flags (Release): /machine:x64 /INCREMENTAL:NO
Linker flags (Debug): /machine:x64 /debug /INCREMENTAL
ccache: NO
Precompiled headers: NO
Extra dependencies: cudart_static.lib nppc.lib nppial.lib nppicc.lib nppicom.lib nppidei.lib nppif.lib nppi
g.lib nppim.lib nppist.lib nppisu.lib nppitc.lib npps.lib cublas.lib cufft.lib -LIBPATH:C:/Program Files/NVIDIA GPU Comp
uting Toolkit/CUDA/v10.0/lib/x64
3rdparty dependencies:

OpenCV modules:
To be built: aruco bgsegm bioinspired calib3d ccalib core cudaarithm cudabgsegm cudacodec cudafeatur
es2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev datasets dnn dnn_objdetec
t dnn_superres dpm face features2d flann fuzzy gapi hfs highgui img_hash imgcodecs imgproc line_descriptor ml objdetect
optflow phase_unwrapping photo plot python3 quality rapid reg rgbd saliency shape stereo stitching structured_light supe
rres surface_matching text tracking ts video videoio videostab world xfeatures2d ximgproc xobjdetect xphoto
Disabled: -
Disabled by dependency: -
Unavailable: cnn_3dobj cvv freetype hdf java js matlab ovis python2 python2 sfm viz
Applications: tests perf_tests apps
Documentation: NO
Non-free algorithms: NO

Windows RT support: NO

GUI:
Win32 UI: YES
VTK support: NO

Media I/O:
ZLib: build (ver 1.2.11)
JPEG: build-libjpeg-turbo (ver 2.0.2-62)
WEBP: build (ver encoder: 0x020e)
PNG: build (ver 1.6.37)
TIFF: build (ver 42 - 4.0.10)
JPEG 2000: build (ver 1.900.1)
OpenEXR: build (ver 2.3.0)
HDR: YES
SUNRASTER: YES
PXM: YES
PFM: YES

Video I/O:
DC1394: NO
FFMPEG: YES (prebuilt binaries)
avcodec: YES (58.54.100)
avformat: YES (58.29.100)
avutil: YES (56.31.100)
swscale: YES (5.5.100)
avresample: YES (4.0.0)
GStreamer: NO
DirectShow: YES
Media Foundation: YES
DXVA: YES

Parallel framework: Concurrency

Trace: YES (with Intel ITT)

Other third-party libraries:
Intel IPP: 2019.0.0 Gold [2019.0.0]
at: D:/soft/dev/opencv/opencv-master/build/3rdparty/ippicv/ippicv_win/icv
Intel IPP IW: sources (2019.0.0)
at: D:/soft/dev/opencv/opencv-master/build/3rdparty/ippicv/ippicv_win/iw
Lapack: NO
Eigen: NO
Custom HAL: NO
Protobuf: build (3.5.1)

NVIDIA CUDA: YES (ver 10.0, CUFFT CUBLAS)
NVIDIA GPU arch: 61
NVIDIA PTX archs:

cuDNN: NO

OpenCL: YES (NVD3D11)
Include path: D:/soft/dev/opencv/opencv-master/3rdparty/include/opencl/1.2
Link libraries: Dynamic load

Python 3:
Interpreter: C:/Program Files/Python37/python.exe (ver 3.7.6)
Libraries: C:/Program Files/Python37/libs/python37.lib (ver 3.7.6)
numpy: C:/Program Files/Python37/lib/site-packages/numpy/core/include (ver 1.17.4)
install path: C:/Program Files/Python37/Lib/site-packages/cv2/python-3.7

Python (for build): C:/Users/xcsc/.windows-build-tools/python27/python.exe

Java:
ant: NO
JNI: NO
Java wrappers: NO
Java tests: NO

Install to: D:/soft/dev/opencv/opencv-master/build/install
-----------------------------------------------------------------

win10 cmake编译 opencv4.0 + pyhton3.7x64的更多相关文章

  1. CMake编译OpenCV4.0时opencv_ffmpeg.dll等下载失败的解决思路总结

    一.Configure会报一些红色的警告信息,比如: 1 CMake Warning at cmake/OpenCVDownload.cmake:193 (message): 2 FFMPEG: Do ...

  2. [转]VS2015+OpenCV3.3 GPU模块和opencv_contrib模块的编译以及采用CMake编译opencv_contrib时提示“No extra modules found in folder”问题的解决方案

    据官方说法,目前还不是太稳定的算法模块都在opencv_contrib里边,由于不稳定,所以不能在release版本里发行,只有在稳定以后才会放进release里边.但是这里边有很多我们经常要用的算法 ...

  3. opencv4.0.0+cmake编译(含contrib)

    https://blog.csdn.net/bobo184/article/details/88749651 前言笔者环境:win10+vs2015+cmake3.8.2 介绍下4.0.0的新特性,沿 ...

  4. opencv4.0 cuda10 编译速度太慢

    opencv4.0 cuda10 对比不带cuda的时候,编译速度太慢,主要卡在cuda的编译上. 参考http://answers.opencv.org/question/5090/why-open ...

  5. Win10 + vs2017 编译并配置tesseract4.1.0

    tesseract 是一个开源的OCR (Optical Character Recognition , 光学字符识别) 引擎,本文就介绍一下自己在编译 tesseract4.1.0时遇到的一些坑,希 ...

  6. Windows10:Opencv4.0+Opencv4.0.1_contrib编译

    操作系统:windows10 64bit 已安装工具:VS2017 64bit,cmake3.12bit. 安装Cmake:到cmake下载3.12及以上版本,64bit, 选择windows下的安装 ...

  7. linux 下cmake 编译 ,调用,调试 poco 1.6.0 小记

    上篇文章 小记了: 关于 Poco::TCPServer框架 (windows 下使用的是 select模型) 学习笔记. http://www.cnblogs.com/bleachli/p/4352 ...

  8. Win10 下Cmake编译配置 Opencv3.1 + Cuda7.5 + VS2013

    折腾了三天终于配置成功了,在此写下编译配置的全部步骤和遇到的很多坑. 整体介绍: OpenCV 中 CUDA 实现的函数还不是太多,使用前要在OpenCV的官网上确认以下你想要的功能是否已经实现,否则 ...

  9. vs2017+opencv4.0.1安装配置详解(win10)

    一.说明 笔者之前已经安装过了vs2017,对应的opencv是3.4.0版本的.但现在想体验下opencv4的改变之处,所以下载了最新的opencv4.0.1. vs2017的安装请自行搜索安装,本 ...

随机推荐

  1. P3243 [HNOI2015]菜肴制作(拓扑排序)

    P3243 [HNOI2015]菜肴制作 题目误导你正着做拓扑排序,然鹅你可以手造数据推翻它.于是就只能倒着做 我们开个优先队列,每次把可填的最大的编号取出来搞,最后倒着输出拓扑序就好辣 #inclu ...

  2. rhel 6 version `GLIBC_2.14' not found (required by /usr/lib64/libstdc++.so.6)以及libstdc++.so.6: version GLIBCXX_3.4.18 not found解决办法

    最近在oracle linux 7.3下开发了个应用,发布到rhel 6.5运行的时候,报version `GLIBC_2.14' not found (required by /usr/lib64/ ...

  3. PostgreSQL 10首个测试版本发布

    mysql 从5.7到8.0,pg从9.6到10,干起来了.. PostgreSQL 10 的首个测试版发布了,此版本包含 PostgreSQL 10 最终将提供的所有功能的预览.当然,有些细节将在最 ...

  4. 【题解】Luogu P1503 鬼子进村

    平衡树好题 原题传送门 这道题要用Splay,我博客里有对Splay的详细介绍 这道题思维有点难,要把被摧毁的节点插入平衡树,而不是把没有摧毁的节点插入 先把0和n+1插入平衡树,作为边界 操作1:摧 ...

  5. Linux上的oracle巡检脚本

    修改自大神博客:http://www.cnblogs.com/jyzhao/p/5364049.html 脚本巡检的优化:自动化,节省时间. 脚本需加强:巡检结果中有大量的sqlplus连接信息,后期 ...

  6. 【4opencv】求解向量和轮廓的交点

    在“学习OpenCV3"的QQ群众,网友且行且珍惜针对前期博客(https://www.cnblogs.com/jsxyhelu/p/9345590.html)中的内容提出了以下问题: 比如 ...

  7. 如何获取sdcard的总容量

    activity_main.xml <RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android& ...

  8. ajax,分页器

    一.ajax请求数据 ''' $.ajax({ url: '/ajax/', # 请求路径 type: 'post', # 请求方式 data: { # get和post都以data字典方式携带数据 ...

  9. dart实例

    import 'package:flutter/material.dart'; void main() => runApp(new MyApp()); class MyApp extends S ...

  10. Python 解析 XML 文件生成 HTML

    XML文件result.xml,内容如下: <ccm> <metric> <complexity>1</complexity> <unit> ...