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最新推荐文章于 2026-01-01 19:19:57 发布
原创 最新推荐文章于 2026-01-01 19:19:57 发布 · 180 阅读 · 0 ·
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LINUX 安装编译opencv-4.5.1 和 opencv_contrib-4.5.1编译教程
weixin_58949904的博客
08-05 1558
我看了很多帖子，找了很多攻略，都没能找到在linux上安装opencv的详细攻略，目前有的攻略具体操作时，不是出现这种问题就是出现那种问题。此文是我对安装opencv的步骤和出现问题的一个总结，用于记录这几天的工作，供以后应用时参考。搭建环境：centos8.5 java8 opencv4.5.1 pythen3.6(虚拟自带)
交叉编译OpenCV与OpenCV_contrib到ARM的经验分享
where_are_u的博客
04-05 1187
继上次完成NumCpp的移植之后，这些我们来进行OpenCV与OpenCV_contrib的移植。
QT_OpenCV_LOG
Chroniccandy的博客
10-22 488
此文件类似与库脚本,每次新建工程之后，导入此文件，便可以省去配置opencv环境的步骤(先用txt写入代码然后改后缀为pri即可)这是最关键的一步，一定要新建一个工程文件再使用opencv库。三.建立其他工程文件验证是否成功配置opencv库。四.在Pro文件中写入此前建立的Pri文件。OpenCV 3.8 (MSVC版本)配置完成后，重启电脑生效。需要构建工程以写入此文件。
ubuntu安装opencv_contrib扩展库，附踩坑+测试
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振华OPPO的博客世界
08-31 1万+
发现SURF这些库已经被美国买下专利，成为付费库，都在opencv_contrib中。如果你已经安装了OpenCV，或者还没有安装OpenCV，都可以跟随本教程安装好opencv_contrib。
移植opencv+opencv_contrib
道
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交叉编译 opencv 3.4.2 opencv_contribute 3.4.2 ubuntu 16 cmake 3.12.2 cmake 进行编译配置 勾选 ENABLE_CXX11 设置安装路径 CMAKE_INSTALL_PREFIX /usr/local 问题一： opencv-3.4.1/3rdparty/libpng/pngstruct.h:30:18: fatal error: zlib.h: No such file or directory ~/op...
不同版本的Ubuntu安装对应的opencv+opencv_contrib
qq_53756803的博客
02-13 3057
Ubuntu20.04安装opencv4.5.5+opencv_contrib4.5.5 Ubuntu20.04安装opencv 视频教程链接：BiliBili Python安装方式 sudo apt update sudo apt install libopencv-dev python3-opencv 导入cv2模块并打印版本 python3 -c "import cv2; print(cv2.__version__)" 输出 4.2.0 从源码安装OpenCV 安装构建工具和所有的依赖软件包
OpenCV Android以及扩展模块opencv_contrib的编译
lancewoo的博客
01-07 4947
opencv_contrib扩展模块Android版SDK下载
OPenCV-CMake编译OpenCV4.5时opencv_videoio_ffmpeg.dll opencv_videoio_ffmpeg_64.dll下载失败
aggie4628的专栏
01-25 2254
CMake编译时出现以下错误： ======================================================================= CMake Warning at cmake/OpenCVDownload.cmake:202 (message): FFMPEG: Download failed: 7;"Couldn't connect to server" For details please refer to the download log file:
OpenCV扩展模块实战教程：opencv_contrib-4.5.2.zip
weixin_42596246的博客
06-01 786
OpenCV是一个开源的计算机视觉和机器学习软件库，其核心模块提供了广泛的图像处理、视频分析以及机器学习功能。然而，OpenCV社区也在不断开发扩展模块，这些功能可以使用opencv_contrib包来访问。opencv_contrib模块包含了一系列由社区贡献的算法和功能，它们在核心模块中暂时不提供，这些功能包括但不限于：深度学习模块、结构光、文本检测、特征匹配等。要使用这些功能，开发者首先需要获取opencv_contrib模块。
LoG_GPU-log.zip_GPU opencv_LOG c_log_边缘检测 CUDA
09-23
【标题】"LoG_GPU-log.zip" 涉及的核心技术是GPU运算、OpenCV库以及边缘检测算法，特别是Laplacian of Gaussian (LoG)。LoG是一种常用的图像处理技术，用于检测图像中的边缘，它通过计算图像的拉普拉斯算子并结合...
FFT.zip_FFT代码_fft opencv_opencv fft_opencv实现FFT
09-23
2. **快速傅里叶变换**：FFT是DFT的一种高效算法，通过分治策略减少计算量，时间复杂度从DFT的O(N^2)降低到O(N log N)。 3. **OpenCV的`cv::dft()`函数**：这个函数接受一个浮点型数组作为输入，可以是单通道或多...
Daheng_opencv调用_opencvdaheng_daheng相机_opencv_crossx2s_
09-29
在IT行业中，尤其是在计算机视觉和图像处理领域，OpenCV是一个非常重要的库，它提供了丰富的功能，使得开发者可以方便地处理图像和视频数据。本压缩包文件" Daheng_opencv调用"显然关注的是如何利用OpenCV与Daheng...
Log convert.zip_C++_blackg53_opencv_对数变换_对数变换 C++
09-24
本文将深入探讨使用C++编程语言以及OpenCV库实现对数变换的过程和原理。 首先，对数变换的基本概念是将图像的灰度值通过对数函数进行映射，通常用于增强图像的对比度。对数变换的公式可以表示为： \[ L = c + \log...
Verifying WITH_ITT=ON => 'HAVE_ITT'=TRUE Verifying WITH_PROTOBUF=ON => 'HAVE_PROTOBUF'=TRUE Verifying WITH_IMGCODEC_HDR=ON => 'HAVE_IMGCODEC_HDR'=TRUE Verifying WITH_IMGCODEC_SUNRASTER=ON => 'HAVE_IMGCODEC_SUNRASTER'=TRUE Verifying WITH_IMGCODEC_PXM=ON => 'HAVE_IMGCODEC_PXM'=TRUE Verifying WITH_QUIRC=ON => 'HAVE_QUIRC'=TRUE CMake Error at cmake/OpenCVUtils.cmake:657 (message): Some dependencies have not been found or have been forced, unset ENABLE_CONFIG_VERIFICATION option to ignore these failures or change following options: WITH_1394 WITH_EIGEN WITH_GSTREAMER WITH_GSTREAMER_0_10 WITH_GTK WITH_HALIDE WITH_INF_ENGINE WITH_OPENVX WITH_OPENNI WITH_OPENNI2 WITH_PVAPI WITH_GIGEAPI WITH_TBB WITH_UNICAP WITH_LIBV4L WITH_XIMEA WITH_CLP WITH_OPENCLAMDFFT WITH_OPENCLAMDBLAS WITH_VA WITH_VA_INTEL WITH_MFX WITH_GDAL WITH_LAPACK Call Stack (most recent call first): CMakeLists.txt:1686 (ocv_verify_config) CMake Error: The following variables are used in this project, but they are set to NOTFOUND. Please set them or make sure they are set and tested correctly in the CMake files: CUDA_nppicom_LIBRARY (ADVANCED) linked by target "opencv_perf_cudaimgproc" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_cudastereo" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_cudafeatures2d" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_core" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_dnn" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_line_descriptor" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_line_descriptor" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_features2d" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_cudastereo" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_cudacodec" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_cudawarping" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_cudalegacy" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_cvv" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_videoio" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_cudafeatures2d" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_xphoto" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_cudaimgproc" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_xphoto" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_cudaarithm" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_ml" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_imgproc" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_optflow" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_cudabgsegm" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_fuzzy" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_cudafilters" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_shape" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_flann" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_phase_unwrapping" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_cudawarping" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_imgproc" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_cudaarithm" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_imgcodecs" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_dnn" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_reg" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_video" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_core" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_text" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_calib3d" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_photo" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_superres" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_imgcodecs" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_calib3d" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_cudabgsegm" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_cudaoptflow" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_reg" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_stereo" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_features2d" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_highgui" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_cudacodec" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_bioinspired" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_bioinspired" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_video" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_aruco" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_objdetect" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_rgbd" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_photo" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_videoio" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_stereo" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_stitching" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_structured_light" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_face" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_tracking" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_cudafilters" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_tracking" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_objdetect" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_cudalegacy" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_cudaobjdetect" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_xfeatures2d" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_xfeatures2d" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_ximgproc" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_ximgproc" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_videostab" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_world" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_world" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_bgsegm" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_perf_cudaobjdetect" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_cudaoptflow" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_optflow" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_stitching" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_superres" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/world linked by target "opencv_test_img_hash" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/opencv_contrib-3.4.5/modules/img_hash linked by target "opencv_img_hash" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/opencv_contrib-3.4.5/modules/img_hash linked by target "opencv_img_hash" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/opencv_contrib-3.4.5/modules/img_hash linked by target "opencv_ts" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/ts linked by target "opencv_ts" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/modules/ts linked by target "opencv_traincascade" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/apps/traincascade linked by target "opencv_createsamples" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/apps/createsamples linked by target "opencv_annotation" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/apps/annotation linked by target "opencv_visualisation" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/apps/visualisation linked by target "opencv_interactive-calibration" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/apps/interactive-calibration linked by target "opencv_version" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/apps/version linked by target "example_tutorial_pnp_registration" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_watershed" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_pnp_detection" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_warpPerspective_demo" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_videowriter_basic" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_videostab" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_videocapture_openni" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_videocapture_intelperc" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_videocapture_image_sequence" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_videocapture_gphoto2_autofocus" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_videocapture_camera" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_videocapture_basic" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_tvl1_optical_flow" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_video-write" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_bg_sub" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_imgproc_applyColorMap" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_imgproc_HoughLinesCircles" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_core_merge" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_core_mat_checkVector" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_cloning_gui" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_npr_demo" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_objectDetection" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_introduction_to_pca" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_introduction_windows_vs" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_documentation" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_display_image" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_imgproc_HoughLinesPointSet" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_SURF_FLANN_matching_homography_Demo" in 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/home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_pointPolygonTest_demo" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_cornerDetector_Demo" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_periodic_noise_removing_filter" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_cornerSubPix_Demo" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_lsd_lines" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_camera_calibration" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_how_to_use_OpenCV_parallel_for_" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_mat_mask_operations" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_AddingImages" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_cpp_qrcode" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_mat_operations" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_tutorial_mat_the_basic_image_container" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/cpp linked by target "example_dnn_colorization" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/dnn linked by target "example_dnn_text_detection" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/dnn linked by target "example_dnn_object_detection" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/dnn linked by target "example_dnn_openpose" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/dnn linked by target "example_dnn_segmentation" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/dnn linked by target "example_dnn_classification" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/dnn linked by target "example_gpu_video_writer" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_video_reader" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_stereo_multi" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_super_resolution" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_alpha_comp" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_bgfg_segm" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_optical_flow" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_pyrlk_optical_flow" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_cascadeclassifier" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_hog" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_houghlines" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_farneback_optical_flow" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_morphology" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_multi" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_surf_keypoint_matcher" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_generalized_hough" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_gpu_stereo_match" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/gpu linked by target "example_tapi_camshift" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/tapi linked by target "example_tapi_clahe" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/tapi linked by target "example_tapi_opencl_custom_kernel" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/tapi linked by target "example_tapi_ufacedetect" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/tapi linked by target "example_tapi_dense_optical_flow" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/tapi linked by target "example_tapi_pyrlk_optical_flow" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/tapi linked by target "example_tapi_hog" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/tapi linked by target "example_tapi_squares" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/tapi linked by target "example_tapi_bgfg_segm" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/tapi linked by target "example_opengl_opengl_interop" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/opengl linked by target "example_opengl_opengl" in directory /home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/samples/opengl Configuring incomplete, errors occurred! See also "/home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/build/CMakeFiles/CMakeOutput.log". See also "/home/ray/Vx_SLAM/OPENCV_Series/opencv-3.4.5/build/CMakeFiles/CMakeError.log". CMake Warning: Value of OPENCV_BUILD_INFO_STR contained a newline; truncating
05-16
### OpenCV 3.4.5 CMake 配置错误 CUDA_nppicom_LIBRARY NOTFOUND 的解决方案 在配置 OpenCV 3.4.5 并启用 CUDA 支持时，如果遇到 `CUDA_nppicom_LIBRARY` 或其他类似的依赖项未找到的问题，通常是因为系统中缺少...
Java是当今最优雅的开发语言
richxu20250501的博客
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嵌入式 #电子信息 #编程 #软件设计与开发 #找工作 #后端开发 #单片机 #小红书#Java。项目内部代码都各种积木化(模块化) (离不开spring boot的加持)我也曾用过Delphi ,C#,Python 开发！我认为Java是当今最优雅的开发语言！
淘宝式jquery图片数字切换
最新发布
01-05
下载前可以先看下教程 https://pan.quark.cn/s/a426667488ae 标题“仿淘宝jquery图片左右切换带数字”揭示了这是一个关于运用jQuery技术完成的图片轮播机制，其特色在于具备淘宝在线平台普遍存在的图片切换表现，并且在整个切换环节中会展示当前图片的序列号。 此类功能一般应用于电子商务平台的产品呈现环节，使用户可以便捷地查看多张商品的照片。 说明中的“NULL”表示未提供进一步的信息，但我们可以借助标题来揣摩若干核心的技术要点。 在构建此类功能时，开发者通常会借助以下技术手段：1. **jQuery库**：jQuery是一个应用广泛的JavaScript框架，它简化了HTML文档的遍历、事件管理、动画效果以及Ajax通信。 在此项目中，jQuery将负责处理用户的点击动作（实现左右切换），并且制造流畅的过渡效果。 2. **图片轮播扩展工具**：开发者或许会采用现成的jQuery扩展，例如Slick、Bootstrap Carousel或个性化的轮播函数，以达成图片切换的功能。 这些扩展能够辅助迅速构建功能完善的轮播模块。 3. **即时数字呈现**：展示当前图片的序列号，这需要通过JavaScript或jQuery来追踪并调整。 每当图片切换时，相应的数字也会同步更新。 4. **CSS美化**：为了达成淘宝图片切换的视觉效果，可能需要设计特定的CSS样式，涵盖图片的排列方式、过渡效果、点状指示器等。 CSS3的动画和过渡特性（如`transition`和`animation`）在此过程中扮演关键角色。 5. **事件监测**：运用jQuery的`.on()`方法来监测用户的操作，比如点击左右控制按钮或自动按时间间隔切换。 根据用户的交互，触发相应的函数来执行...
大家都觉得几点到几点妲己
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垃圾实例分割数据集-20251118-194020.zip
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垃圾实例分割数据集 一、基础信息 • 数据集名称：垃圾实例分割数据集 • 图片数量： 训练集：7,000张图片 验证集：426张图片 测试集：644张图片 • 训练集：7,000张图片 • 验证集：426张图片 • 测试集：644张图片 • 分类类别： 垃圾（Sampah） • 垃圾（Sampah） • 标注格式：YOLO格式，包含实例分割的多边形点坐标，适用于实例分割任务。 • 数据格式：图片文件 二、适用场景 • 智能垃圾检测系统开发：数据集支持实例分割任务，帮助构建能够自动识别和分割图像中垃圾区域的AI模型，适用于智能清洁机器人、自动垃圾桶等应用。 • 环境监控与管理：集成到监控系统中，用于实时检测公共区域的垃圾堆积，辅助环境清洁和治理决策。 • 计算机视觉研究：支持实例分割算法的研究和优化，特别是在垃圾识别领域，促进AI在环保方面的创新。 • 教育与实践：可用于高校或培训机构的AI课程，作为实例分割技术的实践数据集，帮助学生理解计算机视觉应用。 三、数据集优势 • 精确的实例分割标注：每个垃圾实例都使用详细的多边形点进行标注，确保分割边界准确，提升模型训练效果。 • 数据多样性：包含多种垃圾物品实例，覆盖不同场景，增强模型的泛化能力和鲁棒性。 • 格式兼容性强：YOLO标注格式易于与主流深度学习框架集成，如YOLO系列、PyTorch等，方便研究人员和开发者使用。 • 实际应用价值：直接针对现实世界的垃圾管理需求，为自动化环保解决方案提供可靠数据支持，具有重要的社会意义。
智慧物业(1).docx
01-05
智慧物业(1).docx
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