学习 opencv-cpp tutorial_code 示例程序 目录
怀刚毅
tutorial_code 目录结构
└─tutorial_code
├─calib3d
│ ├─camera_calibration
│ │ camera_calibration.cpp
│ │ in_VID5.xml
│ │ out_camera_data.yml
│ │ VID5.xml
│ │
│ └─real_time_pose_estimation
│ │ CMakeLists.txt
│ │
│ ├─Data
│ │ box.mp4
│ │ box.ply
│ │ cookies_ORB.yml
│ │ resized_IMG_3875.JPG
│ │
│ └─src
│ CsvReader.cpp
│ CsvReader.h
│ CsvWriter.cpp
│ CsvWriter.h
│ main_detection.cpp
│ main_registration.cpp
│ Mesh.cpp
│ Mesh.h
│ Model.cpp
│ Model.h
│ ModelRegistration.cpp
│ ModelRegistration.h
│ PnPProblem.cpp
│ PnPProblem.h
│ RobustMatcher.cpp
│ RobustMatcher.h
│ Utils.cpp
│ Utils.h
│
├─compatibility
│ compatibility_test.cpp
│
├─core
│ ├─AddingImages
│ │ AddingImages.cpp
│ │
│ ├─discrete_fourier_transform
│ │ discrete_fourier_transform.cpp
│ │
│ ├─file_input_output
│ │ file_input_output.cpp
│ │
│ ├─how_to_scan_images
│ │ how_to_scan_images.cpp
│ │
│ ├─how_to_use_OpenCV_parallel_for_
│ │ how_to_use_OpenCV_parallel_for_.cpp
│ │
│ ├─mat_mask_operations
│ │ mat_mask_operations.cpp
│ │
│ ├─mat_operations
│ │ mat_operations.cpp
│ │
│ └─mat_the_basic_image_container
│ mat_the_basic_image_container.cpp
│
├─features2D
│ │ AKAZE_match.cpp
│ │
│ ├─AKAZE_tracking
│ │ planar_tracking.cpp
│ │ stats.h
│ │ utils.h
│ │
│ ├─feature_description
│ │ SURF_matching_Demo.cpp
│ │
│ ├─feature_detection
│ │ SURF_detection_Demo.cpp
│ │
│ ├─feature_flann_matcher
│ │ SURF_FLANN_matching_Demo.cpp
│ │
│ ├─feature_homography
│ │ SURF_FLANN_matching_homography_Demo.cpp
│ │
│ └─Homography
│ decompose_homography.cpp
│ homography_from_camera_displacement.cpp
│ panorama_stitching_rotating_camera.cpp
│ perspective_correction.cpp
│ pose_from_homography.cpp
│
├─gapi
│ └─porting_anisotropic_image_segmentation
│ porting_anisotropic_image_segmentation_gapi.cpp
│ porting_anisotropic_image_segmentation_gapi_fluid.cpp
│
├─gpu
│ ├─gpu-basics-similarity
│ │ gpu-basics-similarity.cpp
│ │
│ └─gpu-thrust-interop
│ CMakeLists.txt
│ main.cu
│ Thrust_interop.hpp
│
├─HighGUI
│ AddingImagesTrackbar.cpp
│ BasicLinearTransformsTrackbar.cpp
│
├─Histograms_Matching
│ calcBackProject_Demo1.cpp
│ calcBackProject_Demo2.cpp
│ calcHist_Demo.cpp
│ compareHist_Demo.cpp
│ EqualizeHist_Demo.cpp
│ MatchTemplate_Demo.cpp
│
├─imgcodecs
│ └─GDAL_IO
│ gdal-image.cpp
│
├─ImgProc
│ │ BasicLinearTransforms.cpp
│ │ Morphology_1.cpp
│ │ Morphology_2.cpp
│ │ Threshold.cpp
│ │ Threshold_inRange.cpp
│ │
│ ├─anisotropic_image_segmentation
│ │ anisotropic_image_segmentation.cpp
│ │
│ ├─basic_drawing
│ │ Drawing_1.cpp
│ │ Drawing_2.cpp
│ │
│ ├─changing_contrast_brightness_image
│ │ changing_contrast_brightness_image.cpp
│ │
│ ├─HitMiss
│ │ HitMiss.cpp
│ │
│ ├─morph_lines_detection
│ │ Morphology_3.cpp
│ │
│ ├─motion_deblur_filter
│ │ motion_deblur_filter.cpp
│ │
│ ├─out_of_focus_deblur_filter
│ │ out_of_focus_deblur_filter.cpp
│ │
│ ├─periodic_noise_removing_filter
│ │ periodic_noise_removing_filter.cpp
│ │
│ ├─Pyramids
│ │ Pyramids.cpp
│ │
│ └─Smoothing
│ Smoothing.cpp
│
├─ImgTrans
│ CannyDetector_Demo.cpp
│ copyMakeBorder_demo.cpp
│ filter2D_demo.cpp
│ Geometric_Transforms_Demo.cpp
│ houghcircles.cpp
│ HoughCircle_Demo.cpp
│ houghlines.cpp
│ HoughLines_Demo.cpp
│ imageSegmentation.cpp
│ Laplace_Demo.cpp
│ Remap_Demo.cpp
│ Sobel_Demo.cpp
│
├─introduction
│ ├─display_image
│ │ display_image.cpp
│ │
│ ├─documentation
│ │ documentation.cpp
│ │
│ └─windows_visual_studio_opencv
│ introduction_windows_vs.cpp
│
├─ml
│ ├─introduction_to_pca
│ │ introduction_to_pca.cpp
│ │
│ ├─introduction_to_svm
│ │ introduction_to_svm.cpp
│ │
│ └─non_linear_svms
│ non_linear_svms.cpp
│
├─objectDetection
│ objectDetection.cpp
│
├─photo
│ ├─decolorization
│ │ decolor.cpp
│ │
│ ├─hdr_imaging
│ │ hdr_imaging.cpp
│ │
│ ├─non_photorealistic_rendering
│ │ npr_demo.cpp
│ │
│ └─seamless_cloning
│ cloning_demo.cpp
│ cloning_gui.cpp
│
├─ShapeDescriptors
│ findContours_demo.cpp
│ generalContours_demo1.cpp
│ generalContours_demo2.cpp
│ hull_demo.cpp
│ moments_demo.cpp
│ pointPolygonTest_demo.cpp
│
├─snippets
│ core_mat_checkVector.cpp
│ core_merge.cpp
│ core_reduce.cpp
│ core_split.cpp
│ core_various.cpp
│ imgcodecs_imwrite.cpp
│ imgproc_applyColorMap.cpp
│ imgproc_calcHist.cpp
│ imgproc_drawContours.cpp
│ imgproc_HoughLinesCircles.cpp
│ imgproc_HoughLinesP.cpp
│ imgproc_HoughLinesPointSet.cpp
│
├─TrackingMotion
│ cornerDetector_Demo.cpp
│ cornerHarris_Demo.cpp
│ cornerSubPix_Demo.cpp
│ goodFeaturesToTrack_Demo.cpp
│
├─video
│ bg_sub.cpp
│
├─videoio
│ ├─video-input-psnr-ssim
│ │ video-input-psnr-ssim.cpp
│ │
│ └─video-write
│ video-write.cpp
│
└─xfeatures2D
LATCH_match.cpp
tutorial_code 目录结构 中文
└─tutorial_code
├─calib3d # 相机标定模块
│ ├─camera_calibration ## This is a camera calibration sample. 单目相机校准
│ │ camera_calibration.cpp
│ │ in_VID5.xml
│ │ out_camera_data.yml
│ │ VID5.xml
│ │
│ └─real_time_pose_estimation ## 实时位姿估计（检测+创建3D纹理模型）
│ │ CMakeLists.txt ## 项目有两个:
│ │ ## example_tutorial_pnp_detection: 这个程序展示了如何检测给定的物体的3D纹理模型。
│ ├─Data ## example_tutorial_pnp_registration: 这个程序展示了如何创建你的3D纹理模型。
│ │ box.mp4 ## detection: This program shows how to detect an object given its 3D textured model. You can choose to
│ │ box.ply ## You can choose to use a recorded video or the webcam.
│ │ cookies_ORB.yml ## registration: This program shows how to create your 3D textured model.
│ │ resized_IMG_3875.JPG ## https://answers.opencv.org/question/204942/opencv-real_time_pose_estimation-not-working/?answer=204984#post-id-204984
│ │
│ └─src
│ CsvReader.cpp
│ CsvReader.h
│ CsvWriter.cpp
│ CsvWriter.h
│ main_detection.cpp
│ main_registration.cpp
│ Mesh.cpp
│ Mesh.h
│ Model.cpp
│ Model.h
│ ModelRegistration.cpp
│ ModelRegistration.h
│ PnPProblem.cpp
│ PnPProblem.h
│ RobustMatcher.cpp
│ RobustMatcher.h
│ Utils.cpp
│ Utils.h
│
├─compatibility # 兼容性测试模块
│ compatibility_test.cpp
│
├─core # opencv 核心功能模块（重要）
│ ├─AddingImages ## Simple linear blender ( dst = alpha*src1 + beta*src2 )
│ │ AddingImages.cpp ## 简单的线性混合器
│ │
│ ├─discrete_fourier_transform ## This program demonstrated the use of the discrete Fourier transform (DFT). 离散傅里叶变换（时频转换）
│ │ discrete_fourier_transform.cpp ## The dft of an image is taken and it's power spectrum is displayed.
│ │
│ ├─file_input_output ## shows the usage of the OpenCV serialization functionality. 显示 opencv 序列化功能的使用。
│ │ file_input_output.cpp ## The output file may be either XML (xml) or YAML (yml/yaml).
│ │
│ ├─how_to_scan_images ## This program shows how to scan image objects in OpenCV (cv::Mat). 如何使用 cv::Mat 扫描图像
│ │ how_to_scan_images.cpp
│ │
│ ├─how_to_use_OpenCV_parallel_for_ ## parallel_for_才是parallel loop，opencv 并行运算
│ │ how_to_use_OpenCV_parallel_for_.cpp
│ │
│ ├─mat_mask_operations ## This program shows how to filter images with mask: the write it yourself and the filter2d way. 使用掩膜过滤图像
│ │ mat_mask_operations.cpp
│ │
│ ├─mat_operations ## opencv 的 矩阵基础操作
│ │ mat_operations.cpp
│ │
│ └─mat_the_basic_image_container ## This program shows how to create matrices(cv::Mat) in OpenCV and its serial out capabilities. That is, cv::Mat M(...); M.create and cout
│ mat_the_basic_image_container.cpp ## Shows how output can be formatted to OpenCV, python, numpy, csv and C styles. 图像容器
│
├─features2D # 2D特征模块
│ │ AKAZE_match.cpp ## accerlated-KAZE features KAZE 加速特征
│ │
│ ├─AKAZE_tracking ## AKAZE 追踪
│ │ planar_tracking.cpp ## 平面追踪
│ │ stats.h
│ │ utils.h
│ │
│ ├─feature_description ## 特征点描述 Step 1: Detect the keypoints using SURF Detector, compute the descriptors,
│ │ SURF_matching_Demo.cpp ## Step 2: Matching descriptor vectors with a brute force matcher
│ │
│ ├─feature_detection ## 特征点检测 SURF（speed up robust features）
│ │ SURF_detection_Demo.cpp ## Step 1: Detect the keypoints using SURF Detector
│ │
│ ├─feature_flann_matcher ## flann (fast library for nearest neighbors) 快速最近邻搜索包 Step 1: Detect the keypoints using SURF Detector, compute the descriptors
│ │ SURF_FLANN_matching_Demo.cpp ## Step 2: Matching descriptor vectors with a FLANN based matcher
│ │
│ ├─feature_homography ## feature homography 单应性特征（照片1 * 单应性矩阵 = 照片2），Step 1: Detect the keypoints using SURF Detector, compute the descriptors
│ │ SURF_FLANN_matching_homography_Demo.cpp ## Step 2: Matching descriptor vectors with a FLANN based matcher
│ │
│ └─Homography ## 单应性
│ decompose_homography.cpp ## 分解单应性，Decompose homography matrix computed from the camera displacement:
│ homography_from_camera_displacement.cpp ## 由摄像机位移得到的单应性
│ panorama_stitching_rotating_camera.cpp ## 全景拼接旋转照相机，basic panorama stitching from a rotating camera.
│ perspective_correction.cpp ## 透视矫正
│ pose_from_homography.cpp ## pose from homography with coplanar points，由平面点的单应性构成的姿态
│
├─gapi # "Graph API" 图像应用程序接口（？）
│ └─porting_anisotropic_image_segmentation ## You will learn how port an existing algorithm to G-API
│ porting_anisotropic_image_segmentation_gapi.cpp
│ porting_anisotropic_image_segmentation_gapi_fluid.cpp
│
├─gpu # GPU 模块
│ ├─gpu-basics-similarity ## 无
│ │ gpu-basics-similarity.cpp
│ │
│ └─gpu-thrust-interop ## 无
│ CMakeLists.txt
│ main.cu
│ Thrust_interop.hpp
│
├─HighGUI # opencv GUI 模块
│ AddingImagesTrackbar.cpp ## Simple linear blender 简单的线性搅拌器
│ BasicLinearTransformsTrackbar.cpp ## Simple program to change contrast and brightness
│
├─Histograms_Matching # 直方图匹配
│ calcBackProject_Demo1.cpp ## Sample code for backproject function usage
│ calcBackProject_Demo2.cpp ## Sample code for backproject function usage ( a bit more elaborated )
│ calcHist_Demo.cpp ## Demo code to use the function calcHist
│ compareHist_Demo.cpp ## Sample code to use the function compareHist
│ EqualizeHist_Demo.cpp ## 。。。
│ MatchTemplate_Demo.cpp ## 。。。
│
├─imgcodecs #
│ └─GDAL_IO
│ gdal-image.cpp ## Load GIS data into OpenCV Containers using the Geospatial Data Abstraction Library
│
├─ImgProc # 图像处理模块
│ │ BasicLinearTransforms.cpp ## Simple program to change contrast and brightness
│ │ Morphology_1.cpp ## Erosion and Dilation sample code
│ │ Morphology_2.cpp ## Advanced morphology Transformations sample code
│ │ Threshold.cpp ## Sample code that shows how to use the diverse threshold options offered by OpenCV
│ │ Threshold_inRange.cpp ## Trackbars to set thresholds for HSV values
│ │
│ ├─anisotropic_image_segmentation # 各向异性图像分割模块
│ │ anisotropic_image_segmentation.cpp ## 各向异性图像分割
│ │
│ ├─basic_drawing # 基础画图模块
│ │ Drawing_1.cpp ## Simple geometric drawing
│ │ Drawing_2.cpp ## Simple sample code
│ │
│ ├─changing_contrast_brightness_image # 改变明亮对比度模块
│ │ changing_contrast_brightness_image.cpp ## Brightness and contrast adjustments
│ │
│ ├─HitMiss # 未知
│ │ HitMiss.cpp ## 可运行，未知
│ │
│ ├─morph_lines_detection # 形态学线条检测器
│ │ Morphology_3.cpp ## Use morphology transformations for extracting horizontal and vertical lines sample code，使用形态学变换提取水平垂直线条
│ │
│ ├─motion_deblur_filter # 运动模糊的过滤器
│ │ motion_deblur_filter.cpp ## You will learn how to recover an image with motion blur distortion using a Wiener filter. 运动模糊扭曲的图像使用 wiener 过滤器修复
│ │
│ ├─out_of_focus_deblur_filter # 解模糊滤波器
│ │ out_of_focus_deblur_filter.cpp ## You will learn how to recover an out-of-focus image by Wiener filter
│ │
│ ├─periodic_noise_removing_filter # 周期性噪声去除滤波器
│ │ periodic_noise_removing_filter.cpp ## You will learn how to remove periodic noise in the Fourier domain
│ │
│ ├─Pyramids # 金字塔
│ │ Pyramids.cpp ## Sample code of image pyramids (pyrDown and pyrUp)，上采样，下采样
│ │
│ └─Smoothing # 平滑
│ Smoothing.cpp # Sample code for simple filters，平滑
│
├─ImgTrans # image transformation 图像转换模块
│ CannyDetector_Demo.cpp ## Sample code showing how to detect edges using the Canny Detector。使用 canny 检测器
│ copyMakeBorder_demo.cpp ## Forms a border around an image. 在图相周围形成边界
│ filter2D_demo.cpp ## Sample code that shows how to implement your own linear filters by using filter2D function. 使用 filter2D 函数应用自定义线性过滤器
│ Geometric_Transforms_Demo.cpp ## Demo code for Geometric Transforms，几何变换
│ houghcircles.cpp ## This program demonstrates circle finding with the Hough transform，霍夫变换找圆
│ HoughCircle_Demo.cpp ## Demo code for Hough Transform，霍夫变换示例程序
│ houghlines.cpp ## This program demonstrates line finding with the Hough transform. 霍夫变换找直线
│ HoughLines_Demo.cpp ## Demo code for Hough Transform. 霍夫变换示例程序
│ imageSegmentation.cpp ## Sample code showing how to segment overlapping objects using Laplacian filtering, in addition to Watershed and Distance Transformation。除了分水岭和距离变换外，使用拉普拉斯滤波器分割重叠目标。
│ Laplace_Demo.cpp ## Sample code showing how to detect edges using the Laplace operator。拉普拉斯算子检测边缘
│ Remap_Demo.cpp ## Demo code for Remap。重映射示例程序
│ Sobel_Demo.cpp ## Sample code uses Sobel or Scharr OpenCV functions for edge detection
│
├─introduction # 介绍模块
│ ├─display_image ## 显示图相
│ │ display_image.cpp ## 显示图相
│ │
│ ├─documentation # 文档模块
│ │ documentation.cpp ## 主函数
│ │
│ └─windows_visual_studio_opencv ## display_image ImageToLoadAndDisplay，显示图相
│ introduction_windows_vs.cpp ## 同上
│
├─ml # 机器学习模块
│ ├─introduction_to_pca ## principal component analysis 介绍
│ │ introduction_to_pca.cpp ## This program demonstrates how to use OpenCV PCA to extract the orientation of an object. 使用 主成分分析(Principal Component Analysis)，提取目标物体的方向
│ │
│ ├─introduction_to_svm # support vector machine 支持向量积介绍
│ │ introduction_to_svm.cpp ## 同上
│ │
│ └─non_linear_svms # 非线性支持向量机
│ non_linear_svms.cpp # This program shows Support Vector Machines for Non-Linearly Separable Data. 非线性可分数据使用支持向量机
│
├─objectDetection # 目标物体检测
│ objectDetection.cpp ## This program demonstrates using the cv::CascadeClassifier class to detect objects (Face + eyes) in a video stream. 使用 cv 的级联分类器 检测目标物体（脸+眼）
│
├─photo # 照片
│ ├─decolorization ## 消色模块
│ │ decolor.cpp ## This tutorial demonstrates how to use OpenCV Decolorization Module. 展示如何使用 cv 的消色模块
│ │
│ ├─hdr_imaging # 高动态范围成像（high dynamic range）
│ │ hdr_imaging.cpp ## 使用 opencv 进行高动态范围成像
│ │
│ ├─non_photorealistic_rendering # 非真实感绘制技术
│ │ npr_demo.cpp ## This tutorial demonstrates how to use OpenCV Non-Photorealistic Rendering Module.
│ │
│ └─seamless_cloning # 无缝克隆模块
│ cloning_demo.cpp ## This tutorial demonstrates how to use OpenCV seamless cloning module without GUI. 无缝克隆，无界面
│ cloning_gui.cpp ## This tutorial demonstrates how to use OpenCV seamless cloning module. 无缝克隆，有界面
│
├─ShapeDescriptors # 形状描述器模块
│ findContours_demo.cpp ## Demo code to find contours in an image. 在图相中找出轮廓示例
│ generalContours_demo1.cpp ## Demo code to find contours in an image. 同上
│ generalContours_demo2.cpp ## Demo code to obtain ellipses and rotated rectangles that contain detected contours. 获取包含检测到的轮廓的椭圆和旋转矩形的演示代码。
│ hull_demo.cpp ## Demo code to find contours in an image. 在图相中国找出轮廓
│ moments_demo.cpp ## Demo code to calculate moments. 计算动量的示例
│ pointPolygonTest_demo.cpp ## 点-多边形测试示例
│
├─snippets # 片段代码模块
│ core_mat_checkVector.cpp ## It demonstrates the usage of cv::Mat::checkVector. 检查这个Mat是否为Vector，用来确认传入的数据格式是否正确。
│ core_merge.cpp ## It demonstrates the usage of cv::merge. It shows how to merge 3 single channel matrices into a 3-channel matrix. 融合3-单通道矩阵形成3-通道矩阵
│ core_reduce.cpp ## It demonstrates the usage of cv::reduce. It shows how to compute the row sum, column sum, row average, column average, row minimum, column minimum, row maximum and column maximum of a cv::Mat. 计算行列和，均值，最小，最大
│ core_split.cpp ## It demonstrates the usage of cv::split. It shows how to split a 3-channel matrix into a 3 single channel matrices. 3通道矩阵拆分成3-单通道矩阵
│ core_various.cpp ## 不知道干啥的
│ imgcodecs_imwrite.cpp ## 图相编解码器 图相写操作
│ imgproc_applyColorMap.cpp ## 图相处理 应用色图
│ imgproc_calcHist.cpp ## 图相处理 计算直方图
│ imgproc_drawContours.cpp ## 图相处理 绘制轮廓
│ imgproc_HoughLinesCircles.cpp ## 图相处理 霍夫直线圆
│ imgproc_HoughLinesP.cpp ## 图相处理 霍夫直线
│ imgproc_HoughLinesPointSet.cpp ## 图相处理 霍夫直线点集
│
├─TrackingMotion # 运动跟踪模块
│ cornerDetector_Demo.cpp ## Demo code for detecting corners using OpenCV built-in functions. 使用 cv 内置函数检测角点
│ cornerHarris_Demo.cpp ## Demo code for detecting corners using Harris-Stephens method. 使用 哈里斯斯蒂芬斯 方法 检测角点
│ cornerSubPix_Demo.cpp ## Demo code for refining corner locations. 精炼角落位置
│ goodFeaturesToTrack_Demo.cpp ## Demo code for detecting corners using Shi-Tomasi method. shi-tomasi 方法检测角点
│
├─video # 视频模块
│ bg_sub.cpp ## Background subtraction tutorial sample code
│
├─videoio # 视频输入输出模块
│ ├─video-input-psnr-ssim ## 峰值信噪比（Peak Signal to Noise Ratio），结构相似度(Structural Similarity Index Measure)
│ │ video-input-psnr-ssim.cpp ## This program shows how to read a video file with OpenCV. 使用 cv 读取视频，计算信噪比相似度
│ │
│ └─video-write # 视频写入
│ video-write.cpp ## This program shows how to write video files. 视频写入
│
└─xfeatures2D # xfeatures2D 模块
LATCH_match.cpp ## LATCH: Learned Arrangements of Three Patch Codes 学习了三个补丁码的排列
类似资料：