<?xml version="1.0"?>
<doc>
<assembly>
<name>OpenCvSharp</name>
</assembly>
<members>
<member name="T:OpenCvSharp.Cv2">
<summary>
OpenCV Functions of C++ I/F (cv::xxx)
</summary>
</member>
<member name="F:OpenCvSharp.Cv2.PI">
<summary>
The ratio of a circle's circumference to its diameter
</summary>
</member>
<member name="F:OpenCvSharp.Cv2.LOG2">
<summary>
</summary>
</member>
<member name="F:OpenCvSharp.Cv2.FILLED">
<summary>
</summary>
</member>
<member name="M:OpenCvSharp.Cv2.ToPtr(OpenCvSharp.ICvPtrHolder)">
<summary>
引数がnullの時はIntPtr.Zeroに変換する
</summary>
<param name="obj"></param>
<returns></returns>
</member>
<member name="M:OpenCvSharp.Cv2.Rodrigues(OpenCvSharp.InputArray,OpenCvSharp.OutputArray,OpenCvSharp.OutputArray)">
<summary>
converts rotation vector to rotation matrix or vice versa using Rodrigues transformation
</summary>
<param name="src">Input rotation vector (3x1 or 1x3) or rotation matrix (3x3).</param>
<param name="dst">Output rotation matrix (3x3) or rotation vector (3x1 or 1x3), respectively.</param>
<param name="jacobian">Optional output Jacobian matrix, 3x9 or 9x3, which is a matrix of partial derivatives of the output array components with respect to the input array components.</param>
</member>
<member name="M:OpenCvSharp.Cv2.Rodrigues(System.Double[],System.Double[0:,0:]@,System.Double[0:,0:]@)">
<summary>
converts rotation vector to rotation matrix using Rodrigues transformation
</summary>
<param name="vector">Input rotation vector (3x1).</param>
<param name="matrix">Output rotation matrix (3x3).</param>
<param name="jacobian">Optional output Jacobian matrix, 3x9, which is a matrix of partial derivatives of the output array components with respect to the input array components.</param>
</member>
<member name="M:OpenCvSharp.Cv2.Rodrigues(System.Double[0:,0:],System.Double[]@,System.Double[0:,0:]@)">
<summary>
converts rotation matrix to rotation vector using Rodrigues transformation
</summary>
<param name="matrix">Input rotation matrix (3x3).</param>
<param name="vector">Output rotation vector (3x1).</param>
<param name="jacobian">Optional output Jacobian matrix, 3x9, which is a matrix of partial derivatives of the output array components with respect to the input array components.</param>
</member>
<member name="M:OpenCvSharp.Cv2.FindHomography(OpenCvSharp.InputArray,OpenCvSharp.InputArray,OpenCvSharp.HomographyMethods,System.Double,OpenCvSharp.OutputArray,System.Int32,System.Double)">
<summary>
computes the best-fit perspective transformation mapping srcPoints to dstPoints.
</summary>
<param name="srcPoints">Coordinates of the points in the original plane, a matrix of the type CV_32FC2</param>
<param name="dstPoints">Coordinates of the points in the target plane, a matrix of the type CV_32FC2</param>
<param name="method">Method used to computed a homography matrix.</param>
<param name="ransacReprojThreshold">Maximum allowed reprojection error to treat a point pair as an inlier (used in the RANSAC method only)</param>
<param name="mask"> Optional output mask set by a robust method ( CV_RANSAC or CV_LMEDS ). Note that the input mask values are ignored.</param>
<param name="maxIters">The maximum number of RANSAC iterations.</param>
<param name="confidence">Confidence level, between 0 and 1.</param>
<returns></returns>
</member>
<member name="M:OpenCvSharp.Cv2.FindHomography(System.Collections.Generic.IEnumerable{OpenCvSharp.Point2d},System.Collections.Generic.IEnumerable{OpenCvSharp.Point2d},OpenCvSharp.HomographyMethods,System.Double,OpenCvSharp.OutputArray,System.Int32,System.Double)">
<summary>
computes the best-fit perspective transformation mapping srcPoints to dstPoints.
</summary>
<param name="srcPoints">Coordinates of the points in the original plane</param>
<param name="dstPoints">Coordinates of the points in the target plane</param>
<param name="method">Method used to computed a homography matrix.</param>
<param name="ransacReprojThreshold">Maximum allowed reprojection error to treat a point pair as an inlier (used in the RANSAC method only)</param>
<param name="mask"> Optional output mask set by a robust method ( CV_RANSAC or CV_LMEDS ). Note that the input mask values are ignored.</param>
<param name="maxIters">The maximum number of RANSAC iterations.</param>
<param name="confidence">Confidence level, between 0 and 1.</param>
<returns></returns>
</member>
<member name="M:OpenCvSharp.Cv2.FindHomography(OpenCvSharp.InputArray,OpenCvSharp.InputArray,OpenCvSharp.OutputArray,OpenCvSharp.UsacParams)">
<summary>
computes the best-fit perspective transformation mapping srcPoints to dstPoints.
</summary>
<param name="srcPoints">Coordinates of the points in the original plane, a matrix of the type CV_32FC2</param>
<param name="dstPoints">Coordinates of the points in the target plane, a matrix of the type CV_32FC2</param>
<param name="mask"> Optional output mask set by a robust method ( CV_RANSAC or CV_LMEDS ). Note that the input mask values are ignored.</param>
<param name="params"></param>
<returns></returns>
<exception cref="T:System.ArgumentNullException"></exception>
</member>
<member name="M:OpenCvSharp.Cv2.RQDecomp3x3(OpenCvSharp.InputArray,OpenCvSharp.OutputArray,OpenCvSharp.OutputArray,OpenCvSharp.OutputArray,OpenCvSharp.OutputArray,OpenCvSharp.OutputArray)">
<summary>
Computes RQ decomposition of 3x3 matrix
</summary>
<param name="src">3x3 input matrix.</param>
<param name="mtxR">Output 3x3 upper-triangular matrix.</param>
<param name="mtxQ"> Output 3x3 orthogonal matrix.</param>
<param name="qx">Optional output 3x3 rotation matrix around x-axis.</param>
<param name="qy">Optional output 3x3 rotation matrix around y-axis.</param>
<param name="qz">Optional output 3x3 rotation matrix around z-axis.</param>
<returns></returns>
</member>
<member name="M:OpenCvSharp.Cv2.RQDecomp3x3(System.Double[0:,0:],System.Double[0:,0:]@,System.Double[0:,0:]@)">
<summary>
Computes RQ decomposition of 3x3 matrix
</summary>
<param name="src">3x3 input matrix.</param>
<param name="mtxR">Output 3x3 upper-triangular matrix.</param>
<param name="mtxQ"> Output 3x3 orthogonal matrix.</param>
<returns></returns>
</member>
<member name="M:OpenCvSharp.Cv2.RQDecomp3x3(System.Double[0:,0:],System.Double[0:,0:]@,System.Double[0:,0:]@,System.Double[0:,0:]@,System.Double[0:,0:]@,System.Double[0:,0:]@)">
<summary>
Computes RQ decomposition of 3x3 matrix
</summary>
<param name="src">3x3 input matrix.</param>
<param name="mtxR">Output 3x3 upper-triangular matrix.</param>
<param name="mtxQ"> Output 3x3 orthogonal matrix.</param>
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C# opencvsharp部署yolov8-pose onnx模型源码
共46个文件
dll:14个
cs:10个
xml:7个
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2024-01-02
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【测试环境】 vs2019 net framework4.7.2 【视频演示】 bilibili.com/video/BV1T64y1E7ws/ 【博客地址】 https://blog.csdn.net/FL1623863129/article/details/135338650
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yolov8-pose部署csharp版本.zip (46个子文件)
FIRC
Yolov8PoseManager.cs 2KB
FIRC.csproj 6KB
Form1.Designer.cs 5KB
ResultBase.cs 963B
FIRC.csproj.user 231B
App.config 189B
Form1.cs 3KB
FIRC.sln 1KB
PoseResult.cs 7KB
bin
x64
Debug
OpenCvSharp.Extensions.xml 7KB
onnxruntime_providers_shared.dll 22KB
System.Drawing.Common.dll 52KB
Microsoft.ML.OnnxRuntime.pdb 82KB
dll
x64
OpenCvSharpExtern.dll 57.96MB
opencv_videoio_ffmpeg480_64.dll 25.13MB
x86
opencv_videoio_ffmpeg480.dll 22.3MB
OpenCvSharpExtern.dll 39.72MB
System.Numerics.Vectors.xml 179KB
OpenCvSharp.dll 919KB
weights
yolov8n-pose.onnx 12.74MB
Microsoft.ML.OnnxRuntime.dll 201KB
FIRC.exe 17KB
System.Runtime.CompilerServices.Unsafe.xml 20KB
System.Memory.xml 14KB
OpenCvSharp.xml 1.91MB
System.Memory.dll 139KB
onnxruntime.dll 9.6MB
System.Runtime.CompilerServices.Unsafe.dll 18KB
System.Drawing.Common.xml 38KB
OpenCvSharp.Extensions.dll 20KB
FIRC.exe.config 553B
images
test.jpg 48KB
test.mp4 9.59MB
test2.jpg 37KB
FIRC.pdb 50KB
System.Buffers.dll 20KB
System.Buffers.xml 3KB
System.Numerics.Vectors.dll 113KB
Properties
Resources.Designer.cs 3KB
Settings.Designer.cs 1KB
Settings.settings 249B
AssemblyInfo.cs 1KB
Resources.resx 5KB
Program.cs 516B
Result.cs 2KB
Form1.resx 6KB
共 46 条
- 1
资源评论
- youyou06082024-03-29资源很不错,内容和描述一致,值得借鉴,赶紧学起来!
- weixin_476400272024-08-29资源使用价值高,内容详实,给了我很多新想法,感谢大佬分享~
- weixin_450299212024-06-14感谢大佬,让我及时解决了当下的问题,解燃眉之急,必须支持!
- 沐沐阳光2024-11-11资源不错,内容挺好的,有一定的使用价值,值得借鉴,感谢分享。
- 老牛加油2024-04-28资源简直太好了,完美解决了当下遇到的难题,这样的资源很难不支持~
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