create handpose_x onnx

666920d7 · Eric.Lee · b28f29a5 · 666920d7 · 666920d7 · 666920d7
26 changed file
--- a/README.md
+++ b/README.md
 # ONNX Runtime
+
+## 项目配置  
+### 1、作者开发环境：  Windows10 （vs 2019 or vs 2022）
+### 2、项目依赖
+* opencv 3.4.15   
+      安装方法：自行安装配置项目依赖。  
+* 如模型运行平台 GPU :     
+- [x] onnxruntime-win-x64-gpu-1.3.0      
+- [x] cuda_10.1.105_418.96_win10       
+- [x] cudnn-10.1-windows10-x64-v7.6.5.32   
+      安装方法：自行安装配置项目依赖。        
+* 如模型运行平台 CPU :    
+- [x] Microsoft.ML.OnnxRuntime.1.10.0 & Microsoft.ML.OnnxRuntime.MKLML.1.6.0     
+      安装方法：     
+          进入 visual studio 编辑环境，选择：工具 -> NuGet 包管理器 -> 管理解决方案的 NuGet程序包，    
+      然后选择“浏览”，在搜索栏分别输入 “Microsoft.ML.OnnxRuntime.1.10.0”、“Microsoft.ML.OnnxRuntime.MKLML.1.6.0”，进行安装。  
+
+## 项目依赖工具包   
+* [项目依赖工具包下载地址(百度网盘 Password: s46l )](https://pan.baidu.com/s/18KhFz5_ea-HCcRWqzHXwhg)   
+
+## ONNX 模型
+* [handpose_X 模型下载地址(百度网盘 Password: obxa )](https://pan.baidu.com/s/13oo9t4DGKu26yQ9Th393Ag)      
+
+## 项目使用方法  
+### 1、如GPU运行自行确定软件已安装及硬件环境符合。
+### 2、配置项目依赖库。   
+### 3、配置模型本地路径。  
+### 4、配置样本路径。  
+### 5、运行项目。  
--- a/demo/handpose_x/.vs/onnxtest/v16/.suo
+++ b/demo/handpose_x/.vs/onnxtest/v16/.suo
--- a/demo/handpose_x/.vs/onnxtest/v16/Browse.VC.db
+++ b/demo/handpose_x/.vs/onnxtest/v16/Browse.VC.db
--- a/demo/handpose_x/onnxtest.sln
+++ b/demo/handpose_x/onnxtest.sln
+
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+EndProject
+Global
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+		{ADB195F6-7D06-47D7-9690-CE73419A9AA0}.Release|x64.Build.0 = Release|x64
+		{ADB195F6-7D06-47D7-9690-CE73419A9AA0}.Release|x86.ActiveCfg = Release|Win32
+		{ADB195F6-7D06-47D7-9690-CE73419A9AA0}.Release|x86.Build.0 = Release|Win32
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--- a/demo/handpose_x/onnxtest.vcxproj
+++ b/demo/handpose_x/onnxtest.vcxproj
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--- a/demo/handpose_x/onnxtest.vcxproj.filters
+++ b/demo/handpose_x/onnxtest.vcxproj.filters
+<?xml version="1.0" encoding="utf-8"?>
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--- a/demo/handpose_x/onnxtest.vcxproj.user
+++ b/demo/handpose_x/onnxtest.vcxproj.user
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\ No newline at end of file
--- a/demo/handpose_x/packages.config
+++ b/demo/handpose_x/packages.config
+<?xml version="1.0" encoding="utf-8"?>
+<packages>
+  <package id="Microsoft.ML.OnnxRuntime" version="1.10.0" targetFramework="native" />
+  <package id="Microsoft.ML.OnnxRuntime.MKLML" version="1.6.0" targetFramework="native" />
+</packages>
\ No newline at end of file
--- a/demo/handpose_x/sample/img0.jpg
+++ b/demo/handpose_x/sample/img0.jpg
--- a/demo/handpose_x/sample/img1.jpg
+++ b/demo/handpose_x/sample/img1.jpg
--- a/demo/handpose_x/sample/img10.jpg
+++ b/demo/handpose_x/sample/img10.jpg
--- a/demo/handpose_x/sample/img2.jpg
+++ b/demo/handpose_x/sample/img2.jpg
--- a/demo/handpose_x/sample/img3.jpg
+++ b/demo/handpose_x/sample/img3.jpg
--- a/demo/handpose_x/sample/img4.jpg
+++ b/demo/handpose_x/sample/img4.jpg
--- a/demo/handpose_x/sample/img5.jpg
+++ b/demo/handpose_x/sample/img5.jpg
--- a/demo/handpose_x/sample/img6.jpg
+++ b/demo/handpose_x/sample/img6.jpg
--- a/demo/handpose_x/sample/img7.jpg
+++ b/demo/handpose_x/sample/img7.jpg
--- a/demo/handpose_x/sample/img8.jpg
+++ b/demo/handpose_x/sample/img8.jpg
--- a/demo/handpose_x/sample/img9.jpg
+++ b/demo/handpose_x/sample/img9.jpg
--- a/demo/handpose_x/src/main.cpp
+++ b/demo/handpose_x/src/main.cpp
+#include <iostream>
+#include <assert.h>
+#include <vector>
+#include <onnxruntime_cxx_api.h>
+#include <onnxruntime_c_api.h>
+#include <string>
+
+#include <opencv2/opencv.hpp>
+#include <opencv2/core/core.hpp>  
+#include <opencv2/highgui/highgui.hpp>  
+#include<ctime>
+using namespace cv;
+using namespace std;
+
+//#define USE_CUDA
+
+#ifdef USE_CUDA
+#include <cuda_provider_factory.h>
+#endif // 
+
+/************** 图像输入预处理 ************/
+std::vector<float> preprocess_image(Mat img_dst, std::vector<float> input_tensor_values)
+{
+    std::size_t counter = 0;
+    for (unsigned k = 0; k < 3; k++)
+    {
+        for (unsigned i = 0; i < img_dst.rows; i++)
+        {
+            for (unsigned j = 0; j < img_dst.cols; j++)
+            {
+                input_tensor_values[counter++] = (static_cast<float>(img_dst.at<cv::Vec3b>(i, j)[k]) - 128.) / 256.0;
+            }
+        }
+    }
+    return input_tensor_values;
+}
+/************** 绘制关键点 ************/
+void draw_keypoints(Mat &img_o, std::vector<int> pts)
+{
+    for (unsigned k = 0; k < 5; k++)
+    {
+        int i = k*8;
+        unsigned char R = 255, G = 0, B = 0;
+        
+        switch(k)
+        {
+        case 0:R = 255; G = 0; B = 0;break;
+        case 1:R = 255; G = 0; B = 255;break;
+        case 2:R = 255; G = 255; B = 0;break;
+        case 3:R = 0; G = 255; B = 0;break;
+        case 4:R = 0; G = 0; B = 255;break;
+        default:printf("error\n");
+        }
+        
+        line(img_o, Point(pts[0], pts[1]), Point(pts[i + 2], pts[i + 3]), Scalar(B,G,R), 2, CV_AA);
+        line(img_o, Point(pts[i + 2], pts[i + 3]), Point(pts[i + 4], pts[i + 5]), Scalar(B, G, R), 2, CV_AA);
+        line(img_o, Point(pts[i + 4], pts[i + 5]), Point(pts[i + 6], pts[i + 7]), Scalar(B, G, R), 2, CV_AA);
+        line(img_o, Point(pts[i + 6], pts[i + 7]), Point(pts[i + 8], pts[i + 9]), Scalar(B, G, R), 2, CV_AA);
+    }
+}
+
+int main(int argc, char* argv[]) {
+
+    /***************** ONNX 测试 ****************/
+
+    const wchar_t* model_path = L"./resnet_50_size-256.onnx";
+
+    Ort::Env env(ORT_LOGGING_LEVEL_WARNING, "onnx_test");
+    Ort::SessionOptions session_options;
+    session_options.SetIntraOpNumThreads(1);
+
+    //session_options.SetGraphOptimizationLevel(GraphOptimizationLevel::ORT_ENABLE_BASIC);
+    session_options.SetGraphOptimizationLevel(GraphOptimizationLevel::ORT_ENABLE_ALL);
+
+#ifdef USE_CUDA
+    OrtSessionOptionsAppendExecutionProvider_CUDA(session_options, 0);
+    printf(" --->>> ONNX Runtime USE_CUDA \n");
+#endif
+
+    Ort::AllocatorWithDefaultOptions allocator;
+    Ort::Session session(env, model_path, session_options);
+    //Ort::Session session(env, model_path, session_options);
+    printf(" load onnx model");
+    // print model input layer (node names, types, shape etc.)
+
+    size_t num_input_nodes = session.GetInputCount();
+    size_t num_output_nodes = session.GetOutputCount();
+    std::cout << session.GetInputName(0, allocator) << std::endl;
+    std::cout << session.GetOutputName(0, allocator) << std::endl;
+    //--------------------------------------------------------------
+    printf("Number of inputs = %zu\n", num_input_nodes);
+
+    std::vector<const char*> input_node_names(num_input_nodes);
+    std::vector<const char*> output_node_names(num_output_nodes);
+    std::vector<int64_t> input_node_dims;
+    /********************************* 打印模型 节点 *****************************/
+    //迭代所有的输入节点
+    for (int i = 0; i < num_input_nodes; i++) {
+        //输出输入节点的名称
+        char* input_name = session.GetInputName(i, allocator);
+        printf("Input %d : name=%s\n", i, input_name);
+        input_node_names[i] = input_name;
+
+        // 输出输入节点的类型
+        Ort::TypeInfo type_info = session.GetInputTypeInfo(i);
+        auto tensor_info = type_info.GetTensorTypeAndShapeInfo();
+
+        ONNXTensorElementDataType type = tensor_info.GetElementType();
+        printf("Input %d : type=%d\n", i, type);
+
+        input_node_dims = tensor_info.GetShape();
+        //输入节点的打印维度
+        printf("Input %d : num_dims=%zu\n", i, input_node_dims.size());
+        //打印各个维度的大小
+        for (int j = 0; j < input_node_dims.size(); j++)
+            printf("Input %d : dim %d=%jd\n", i, j, input_node_dims[j]);
+        //batch_size=1
+        input_node_dims[0] = 1;
+    }
+
+    //打印输出节点信息，方法类似
+    for (int i = 0; i < num_output_nodes; i++)
+    {
+        char* output_name = session.GetOutputName(i, allocator);
+        printf("Output: %d name=%s\n", i, output_name);
+        output_node_names[i] = output_name;
+        Ort::TypeInfo type_info = session.GetOutputTypeInfo(i);
+        auto tensor_info = type_info.GetTensorTypeAndShapeInfo();
+        ONNXTensorElementDataType type = tensor_info.GetElementType();
+        printf("Output %d : type=%d\n", i, type);
+        auto output_node_dims = tensor_info.GetShape();
+        printf("Output %d : num_dims=%zu\n", i, output_node_dims.size());
+        for (int j = 0; j < output_node_dims.size(); j++)
+            printf("Output %d : dim %d=%jd\n", i, j, output_node_dims[j]);
+    }
+
+    // 使用样本数据对模型进行评分，并检验出入值的合法性
+    size_t input_tensor_size = 3 * 256 * 256;  // simplify ... using known dim values to calculate size
+                                               // use OrtGetTensorShapeElementCount() to get official size!
+    std::vector<float> input_tensor_values(input_tensor_size);
+
+    // 加载样本文件夹
+    vector<cv::String> fn;
+    cv::String pattern = "./sample/*.jpg";
+    glob(pattern, fn, false);
+    size_t count = fn.size(); //number of png files in images folder
+
+    Size dsize = Size(256, 256);
+    int64_t output_tensor_size = 42;// 关键点输出 （x,y）*21= 42
+
+    for (size_t k = 0; k < 10; k++)
+    {
+        for (size_t i = 0; i < count; i++)
+        {
+            Mat img_o = imread(fn[i]);
+
+            Mat img_dst = Mat(dsize, CV_8UC3);
+            resize(img_o, img_dst, dsize);
+
+            //printf("cols: %d ,rows: %d\n", img_dst.cols, img_dst.rows);
+
+            input_tensor_values = preprocess_image(img_dst, input_tensor_values);
+
+            auto start_time = clock();
+            // 为输入数据创建一个Tensor对象
+            try
+            {
+                auto memory_info = Ort::MemoryInfo::CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
+                Ort::Value input_tensor = Ort::Value::CreateTensor<float>(memory_info, input_tensor_values.data(), input_tensor_size, input_node_dims.data(), 4);
+                assert(input_tensor.IsTensor());
+                // 推理得到结果
+                auto output_tensors = session.Run(Ort::RunOptions{ nullptr }, input_node_names.data(), &input_tensor, input_node_names.size(), output_node_names.data(), output_node_names.size());
+                assert(output_tensors.size() == 1 && output_tensors.front().IsTensor());
+
+                // Get pointer to output tensor float values
+                //float* output = output_tensors[0].GetTensorMutableData<float>();
+                float* output = output_tensors.front().GetTensorMutableData<float>();
+                //printf(" --->>> Number of outputs = %d\n", output_tensors.size());
+                auto end_time = clock();
+                printf("  -> ONNX Inference Cost Time: %.5f Seconds\n", static_cast<float>(end_time - start_time) / CLOCKS_PER_SEC);
+                
+                // 获取关键点像素坐标
+                std::vector<int>results(output_tensor_size);
+                for (unsigned i = 0; i < 21; i++)
+                {
+                    int x = output[i * 2] * img_o.cols;
+                    int y = output[i * 2 + 1] * img_o.rows;
+                    results[i * 2] = x;
+                    results[i * 2 + 1] = y;
+                    circle(img_o, Point(x, y), 4, Scalar(255, 155, 0), 2);
+                }
+
+                // 绘制关键点
+                draw_keypoints(img_o, results);
+
+            }
+            catch (Ort::Exception& e)
+            {
+                printf(e.what());
+            }
+            // 创建一个名为 "图片"窗口    
+            namedWindow("keypoint", 0);
+            // 在窗口中显示图片   
+            imshow("keypoint", img_o);
+            if (waitKey(1) == 27) break;
+            img_o.release();
+            img_dst.release();
+        }
+    }
+    cout << "well done !" << endl;
+    return 0;
+}
\ No newline at end of file
--- a/demo/handpose_x/x64/Debug/onnxtest.log
+++ b/demo/handpose_x/x64/Debug/onnxtest.log
+  main.cpp
+D:\git_pro\onnx_run\demo\handpose_x\src\main.cpp(8,10): fatal error C1083: 无法打开包括文件: “opencv2/opencv.hpp”: No such file or directory
--- a/demo/handpose_x/x64/Debug/onnxtest.tlog/CL.command.1.tlog
+++ b/demo/handpose_x/x64/Debug/onnxtest.tlog/CL.command.1.tlog
+
\ No newline at end of file
--- a/demo/handpose_x/x64/Debug/onnxtest.tlog/onnxtest.lastbuildstate
+++ b/demo/handpose_x/x64/Debug/onnxtest.tlog/onnxtest.lastbuildstate
+PlatformToolSet=v142:VCToolArchitecture=Native32Bit:VCToolsVersion=14.29.30037:VCServicingVersionATL=14.29.30038:VCServicingVersionCrtHeaders=14.29.30038:VCServicingVersionCompilers=14.29.30038:TargetPlatformVersion=10.0.19041.0:
+Debug|x64|D:\git_pro\onnx_run\demo\handpose_x\|
--- a/demo/handpose_x/x64/Debug/onnxtest.tlog/unsuccessfulbuild
+++ b/demo/handpose_x/x64/Debug/onnxtest.tlog/unsuccessfulbuild
--- a/demo/handpose_x/x64/Debug/vc142.idb
+++ b/demo/handpose_x/x64/Debug/vc142.idb
--- a/demo/handpose_x/x64/Debug/vc142.pdb
+++ b/demo/handpose_x/x64/Debug/vc142.pdb