0927

mediapipe/examples/desktop/BUILD

@@ -57,8 +57,8 @@ cc_library(
 )
 
 cc_library(
-    name = "demo_run_graph_main_out_hand",
+    name = "demo_run_graph_main_out_hand_cam",
-    srcs = ["demo_run_graph_main_out_hand.cc"],
+    srcs = ["demo_run_graph_main_out_hand_cam.cc"],
     deps = [
         "//mediapipe/calculators/util:landmarks_to_render_data_calculator",
         "//mediapipe/framework:calculator_framework",
@@ -132,6 +132,25 @@ cc_library(
     ],
 )
 
+cc_library(
+    name = "holistic_0926",
+    srcs = ["holistic_0926.cc"],
+    deps = [
+        "//mediapipe/calculators/util:landmarks_to_render_data_calculator",
+        "//mediapipe/framework:calculator_framework",
+        "//mediapipe/framework/formats:image_frame",
+        "//mediapipe/framework/formats:image_frame_opencv",
+        "//mediapipe/framework/formats:landmark_cc_proto",
+        "//mediapipe/framework/port:commandlineflags",
+        "//mediapipe/framework/port:file_helpers",
+        "//mediapipe/framework/port:opencv_highgui",
+        "//mediapipe/framework/port:opencv_imgproc",
+        "//mediapipe/framework/port:opencv_video",
+        "//mediapipe/framework/port:parse_text_proto",
+        "//mediapipe/framework/port:status",
+    ],
+)
+
 cc_binary(
     name = "multi_hand_tracking_cpu",
     srcs = ["multi_hand_tracking_run_graph_cpu_main.cc"],

mediapipe/examples/desktop/demo_run_graph_main_out_hand_cam.cc

@@ -0,0 +1,199 @@
+// Copyright 2019 The MediaPipe Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// An example of sending OpenCV webcam frames into a MediaPipe graph.
+
+#include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/framework/formats/image_frame.h"
+#include "mediapipe/framework/formats/image_frame_opencv.h"
+#include "mediapipe/framework/port/commandlineflags.h"
+#include "mediapipe/framework/port/file_helpers.h"
+#include "mediapipe/framework/port/opencv_highgui_inc.h"
+#include "mediapipe/framework/port/opencv_imgproc_inc.h"
+#include "mediapipe/framework/port/opencv_video_inc.h"
+#include "mediapipe/framework/port/parse_text_proto.h"
+#include "mediapipe/framework/port/status.h"
+
+// Take stream from /mediapipe/graphs/hand_tracking/hand_detection_desktop_live.pbtxt
+//  RendererSubgraph - LANDMARKS:hand_landmarks
+#include "mediapipe/calculators/util/landmarks_to_render_data_calculator.pb.h"
+#include "mediapipe/framework/formats/landmark.pb.h"
+
+// 这些语句定义了一系列的C++常量表达式。
+// input and output streams to be used/retrieved by calculators
+constexpr char kInputStream[] = "input_video";
+constexpr char kOutputStream[] = "output_video";
+constexpr char kLandmarksStream[] = "landmarks";
+constexpr char kWindowName[] = "MediaPipe";
+
+// 定义命令行参数，用于指定MediaPipe图配置文件的位置
+// cli inputs
+DEFINE_string(
+    calculator_graph_config_file, "",
+    "Name of file containing text format CalculatorGraphConfig proto.");
+
+// MediaPipe框架中的一个函数
+::mediapipe::Status RunMPPGraph()
+{
+    // 读取并解析计算器图配置。
+    std::string calculator_graph_config_contents;
+    MP_RETURN_IF_ERROR(mediapipe::file::GetContents(
+        FLAGS_calculator_graph_config_file, &calculator_graph_config_contents));
+    LOG(INFO) << "Get calculator graph config contents: "
+              << calculator_graph_config_contents;
+    mediapipe::CalculatorGraphConfig config =
+        mediapipe::ParseTextProtoOrDie<mediapipe::CalculatorGraphConfig>(
+            calculator_graph_config_contents);
+
+    // 在使用MediaPipe框架中初始化一个计算器图。
+    LOG(INFO) << "Initialize the calculator graph.";
+    mediapipe::CalculatorGraph graph;
+    MP_RETURN_IF_ERROR(graph.Initialize(config));
+
+    // 初始化摄像头
+    LOG(INFO) << "Initialize the camera.";
+    cv::VideoCapture capture;
+    capture.open(0);
+    RET_CHECK(capture.isOpened());
+    cv::namedWindow(kWindowName, /*flags=WINDOW_AUTOSIZE*/ 1);
+
+    // pollers to retrieve streams from graph
+    // output stream (i.e. rendered landmark frame)
+
+    // 初始化了MediaPipe计算图的执行，并设置了用于从指定输出流中提取数据的`OutputStreamPoller`。
+    LOG(INFO) << "Start running the calculator graph.";
+    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller poller,
+                     graph.AddOutputStreamPoller(kOutputStream));
+    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller poller_landmark,
+                     graph.AddOutputStreamPoller(kLandmarksStream));
+    MP_RETURN_IF_ERROR(graph.StartRun({}));
+
+    // 捕获摄像头的每一帧，转换颜色格式，并在需要时进行水平翻转
+    LOG(INFO) << "Start grabbing and processing frames.";
+    size_t frame_timestamp = 0;
+    bool grab_frames = true;
+    while (grab_frames)
+    {
+        // Capture opencv camera or video frame.
+        cv::Mat camera_frame_raw;
+        capture >> camera_frame_raw;
+        if (camera_frame_raw.empty())
+            break; // End of video.
+        cv::Mat camera_frame;
+        cv::cvtColor(camera_frame_raw, camera_frame, cv::COLOR_BGR2RGB);
+        cv::flip(camera_frame, camera_frame, /*flipcode=HORIZONTAL*/ 1);
+
+        // 将OpenCV的`cv::Mat`格式的帧转换为MediaPipe的`ImageFrame`格式。
+        // Wrap Mat into an ImageFrame.
+        auto input_frame = absl::make_unique<mediapipe::ImageFrame>(
+            mediapipe::ImageFormat::SRGB, camera_frame.cols, camera_frame.rows,
+            mediapipe::ImageFrame::kDefaultAlignmentBoundary);
+        cv::Mat input_frame_mat = mediapipe::formats::MatView(input_frame.get());
+        camera_frame.copyTo(input_frame_mat);
+
+        // 负责将一个图像帧发送到MediaPipe的计算图中进行处理。
+        // Send image packet into the graph.
+        MP_RETURN_IF_ERROR(graph.AddPacketToInputStream(
+            kInputStream, mediapipe::Adopt(input_frame.release())
+                              .At(mediapipe::Timestamp(frame_timestamp++))));
+
+        // 从MediaPipe图的输出流中获取处理后的图像帧，并将其存储在`output_frame`中。
+        // Get the graph result packet, or stop if that fails.
+        ::mediapipe::Packet packet;
+        if (!poller.Next(&packet))
+            break;
+
+        // Use packet.Get to recover values from packet
+        auto &output_frame = packet.Get<::mediapipe::ImageFrame>();
+
+        // 从MediaPipe图的输出流中提取手部标记，并将其存储在`multi_hand_landmarks`变量中。
+        // Get the packet containing multi_hand_landmarks.
+        ::mediapipe::Packet landmarks_packet;
+        if (!poller_landmark.Next(&landmarks_packet))
+        {
+            LOG(INFO)<<"No hand";
+            break;
+        }
+        const auto &multi_hand_landmarks =
+            landmarks_packet.Get<
+                std::vector<::mediapipe::NormalizedLandmarkList>>();
+        // LOG(INFO)<<"multi_hand_landmarks: "<<multi_hand_landmarks.;
+        // if(multi_hand_landmarks.size()==0)
+        // {
+            // LOG(INFO)<<"No hand";
+        // }
+        // else
+        // {
+
+            // 详细记录并打印检测到的所有手的标记坐标。MediaPipe框架中的`LOG(INFO)`函数用于记录和打印信息，而此代码片段使用它来可视化检测到的手部标记的位置
+            LOG(INFO) << "#Multi Hand landmarks: " << multi_hand_landmarks.size();
+            int hand_id = 0;
+            for (const auto &single_hand_landmarks : multi_hand_landmarks)
+            {
+                 std::cout <<single_hand_landmarks.DebugString();
+                ++hand_id;
+                LOG(INFO) << "Hand [" << hand_id << "]:";
+                for (int i = 0; i < single_hand_landmarks.landmark_size(); ++i)
+                {
+                    const auto &landmark = single_hand_landmarks.landmark(i);
+                    LOG(INFO) << "\tLandmark [" << i << "]: ("
+                            << landmark.x() << ", "
+                            << landmark.y() << ", "
+                            << landmark.z() << ")";
+                }
+            }
+        // }
+
+        // 使用OpenCV和MediaPipe进行图像处理和显示。
+        // Convert back to opencv for display or saving.
+        cv::Mat output_frame_mat = mediapipe::formats::MatView(&output_frame);
+        cv::cvtColor(output_frame_mat, output_frame_mat, cv::COLOR_RGB2BGR);
+        cv::imshow(kWindowName, output_frame_mat);
+
+        // 这一行会等待5毫秒以查看用户是否按下了任何键。
+        // Press any key to exit.
+        const int pressed_key = cv::waitKey(5);
+        if (pressed_key >= 0 && pressed_key != 255)
+            grab_frames = false;
+    }
+
+    // 使用MediaPipe框架和OpenCV库在处理视频数据后的关闭和清理步骤。
+    LOG(INFO) << "Shutting down.";
+    MP_RETURN_IF_ERROR(graph.CloseInputStream(kInputStream));
+    return graph.WaitUntilDone();
+}
+
+// 程序的主入口点，也就是`main`函数。它描述了一个使用MediaPipe框架的程序如何初始化，执行，并处理结果。
+int main(int argc, char **argv)
+{
+    // **初始化 Google 日志**:
+    google::InitGoogleLogging(argv[0]);
+
+    // **解析命令行参数**:
+    gflags::ParseCommandLineFlags(&argc, &argv, true);
+
+    // **运行 MediaPipe 图**:
+    ::mediapipe::Status run_status = RunMPPGraph();
+
+    // **处理结果**:
+    if (!run_status.ok())
+    {
+        LOG(ERROR) << "Failed to run the graph: " << run_status.message();
+    }
+    else
+    {
+        LOG(INFO) << "Success!";
+    }
+    return 0;
+}

mediapipe/examples/desktop/demo_run_graph_main_out_hand_cam_0926.cc

@@ -0,0 +1,191 @@
+// Copyright 2019 The MediaPipe Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// An example of sending OpenCV webcam frames into a MediaPipe graph.
+
+#include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/framework/formats/image_frame.h"
+#include "mediapipe/framework/formats/image_frame_opencv.h"
+#include "mediapipe/framework/port/commandlineflags.h"
+#include "mediapipe/framework/port/file_helpers.h"
+#include "mediapipe/framework/port/opencv_highgui_inc.h"
+#include "mediapipe/framework/port/opencv_imgproc_inc.h"
+#include "mediapipe/framework/port/opencv_video_inc.h"
+#include "mediapipe/framework/port/parse_text_proto.h"
+#include "mediapipe/framework/port/status.h"
+
+// Take stream from /mediapipe/graphs/hand_tracking/hand_detection_desktop_live.pbtxt
+//  RendererSubgraph - LANDMARKS:hand_landmarks
+#include "mediapipe/calculators/util/landmarks_to_render_data_calculator.pb.h"
+#include "mediapipe/framework/formats/landmark.pb.h"
+
+// 这些语句定义了一系列的C++常量表达式。
+// input and output streams to be used/retrieved by calculators
+constexpr char kInputStream[] = "input_video";
+constexpr char kOutputStream[] = "output_video";
+constexpr char kLandmarksStream[] = "landmarks";
+constexpr char kWindowName[] = "MediaPipe";
+
+// 定义命令行参数，用于指定MediaPipe图配置文件的位置
+// cli inputs
+DEFINE_string(
+    calculator_graph_config_file, "",
+    "Name of file containing text format CalculatorGraphConfig proto.");
+
+// MediaPipe框架中的一个函数
+::mediapipe::Status RunMPPGraph()
+{
+    // 读取并解析计算器图配置。
+    std::string calculator_graph_config_contents;
+    MP_RETURN_IF_ERROR(mediapipe::file::GetContents(
+        FLAGS_calculator_graph_config_file, &calculator_graph_config_contents));
+    LOG(INFO) << "Get calculator graph config contents: "
+              << calculator_graph_config_contents;
+    mediapipe::CalculatorGraphConfig config =
+        mediapipe::ParseTextProtoOrDie<mediapipe::CalculatorGraphConfig>(
+            calculator_graph_config_contents);
+
+    // 在使用MediaPipe框架中初始化一个计算器图。
+    LOG(INFO) << "Initialize the calculator graph.";
+    mediapipe::CalculatorGraph graph;
+    MP_RETURN_IF_ERROR(graph.Initialize(config));
+
+    // 初始化摄像头
+    LOG(INFO) << "Initialize the camera.";
+    cv::VideoCapture capture;
+    capture.open(0);
+    RET_CHECK(capture.isOpened());
+    cv::namedWindow(kWindowName, /*flags=WINDOW_AUTOSIZE*/ 1);
+
+    // pollers to retrieve streams from graph
+    // output stream (i.e. rendered landmark frame)
+
+    // 初始化了MediaPipe计算图的执行，并设置了用于从指定输出流中提取数据的`OutputStreamPoller`。
+    LOG(INFO) << "Start running the calculator graph.";
+    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller poller,
+                     graph.AddOutputStreamPoller(kOutputStream));
+    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller poller_landmark,
+                     graph.AddOutputStreamPoller(kLandmarksStream));
+    MP_RETURN_IF_ERROR(graph.StartRun({}));
+
+    // 捕获摄像头的每一帧，转换颜色格式，并在需要时进行水平翻转
+    LOG(INFO) << "Start grabbing and processing frames.";
+    size_t frame_timestamp = 0;
+    bool grab_frames = true;
+    while (grab_frames)
+    {
+        // Capture opencv camera or video frame.
+        cv::Mat camera_frame_raw;
+        capture >> camera_frame_raw;
+        if (camera_frame_raw.empty())
+            break; // End of video.
+        cv::Mat camera_frame;
+        cv::cvtColor(camera_frame_raw, camera_frame, cv::COLOR_BGR2RGB);
+        cv::flip(camera_frame, camera_frame, /*flipcode=HORIZONTAL*/ 1);
+
+        // 将OpenCV的`cv::Mat`格式的帧转换为MediaPipe的`ImageFrame`格式。
+        // Wrap Mat into an ImageFrame.
+        auto input_frame = absl::make_unique<mediapipe::ImageFrame>(
+            mediapipe::ImageFormat::SRGB, camera_frame.cols, camera_frame.rows,
+            mediapipe::ImageFrame::kDefaultAlignmentBoundary);
+        cv::Mat input_frame_mat = mediapipe::formats::MatView(input_frame.get());
+        camera_frame.copyTo(input_frame_mat);
+
+        // 负责将一个图像帧发送到MediaPipe的计算图中进行处理。
+        // Send image packet into the graph.
+        MP_RETURN_IF_ERROR(graph.AddPacketToInputStream(
+            kInputStream, mediapipe::Adopt(input_frame.release())
+                              .At(mediapipe::Timestamp(frame_timestamp++))));
+
+        // 从MediaPipe图的输出流中获取处理后的图像帧，并将其存储在`output_frame`中。
+        // Get the graph result packet, or stop if that fails.
+        ::mediapipe::Packet packet;
+        if (!poller.Next(&packet))
+            break;
+
+        // Use packet.Get to recover values from packet
+        auto &output_frame = packet.Get<::mediapipe::ImageFrame>();
+
+        // 从MediaPipe图的输出流中提取手部标记，并将其存储在`multi_hand_landmarks`变量中。
+        // Get the packet containing multi_hand_landmarks.
+        ::mediapipe::Packet landmarks_packet;
+        if (!poller_landmark.Next(&landmarks_packet))
+        {
+            LOG(INFO) << "No hand";
+            break;
+        }
+        const auto &multi_hand_landmarks =
+            landmarks_packet.Get<
+                std::vector<::mediapipe::NormalizedLandmarkList>>();
+
+        // 详细记录并打印检测到的所有手的标记坐标。MediaPipe框架中的`LOG(INFO)`函数用于记录和打印信息，而此代码片段使用它来可视化检测到的手部标记的位置
+        LOG(INFO) << "#Multi Hand landmarks: " << multi_hand_landmarks.size();
+        int hand_id = 0;
+        for (const auto &single_hand_landmarks : multi_hand_landmarks)
+        {
+            std::cout << single_hand_landmarks.DebugString();
+            ++hand_id;
+            LOG(INFO) << "Hand [" << hand_id << "]:";
+            for (int i = 0; i < single_hand_landmarks.landmark_size(); ++i)
+            {
+                const auto &landmark = single_hand_landmarks.landmark(i);
+                LOG(INFO) << "\tLandmark [" << i << "]: ("
+                          << landmark.x() << ", "
+                          << landmark.y() << ", "
+                          << landmark.z() << ")";
+            }
+        }
+
+        // 使用OpenCV和MediaPipe进行图像处理和显示。
+        // Convert back to opencv for display or saving.
+        cv::Mat output_frame_mat = mediapipe::formats::MatView(&output_frame);
+        cv::cvtColor(output_frame_mat, output_frame_mat, cv::COLOR_RGB2BGR);
+        cv::imshow(kWindowName, output_frame_mat);
+
+        // 这一行会等待5毫秒以查看用户是否按下了任何键。
+        // Press any key to exit.
+        const int pressed_key = cv::waitKey(5);
+        if (pressed_key >= 0 && pressed_key != 255)
+            grab_frames = false;
+    }
+
+    // 使用MediaPipe框架和OpenCV库在处理视频数据后的关闭和清理步骤。
+    LOG(INFO) << "Shutting down.";
+    MP_RETURN_IF_ERROR(graph.CloseInputStream(kInputStream));
+    return graph.WaitUntilDone();
+}
+
+// 程序的主入口点，也就是`main`函数。它描述了一个使用MediaPipe框架的程序如何初始化，执行，并处理结果。
+int main(int argc, char **argv)
+{
+    // **初始化 Google 日志**:
+    google::InitGoogleLogging(argv[0]);
+
+    // **解析命令行参数**:
+    gflags::ParseCommandLineFlags(&argc, &argv, true);
+
+    // **运行 MediaPipe 图**:
+    ::mediapipe::Status run_status = RunMPPGraph();
+
+    // **处理结果**:
+    if (!run_status.ok())
+    {
+        LOG(ERROR) << "Failed to run the graph: " << run_status.message();
+    }
+    else
+    {
+        LOG(INFO) << "Success!";
+    }
+    return 0;
+}

mediapipe/examples/desktop/demo_run_graph_main_out_holistic.cc

@@ -14,9 +14,6 @@
 //
 // An example of sending OpenCV webcam frames into a MediaPipe graph.
 
-// #include<iostream>
-// using namespace std;
-
 #include "mediapipe/framework/calculator_framework.h"
 #include "mediapipe/framework/formats/image_frame.h"
 #include "mediapipe/framework/formats/image_frame_opencv.h"
@@ -33,25 +30,26 @@
 #include "mediapipe/calculators/util/landmarks_to_render_data_calculator.pb.h"
 #include "mediapipe/framework/formats/landmark.pb.h"
 
+// 这些语句定义了一系列的C++常量表达式。
 // input and output streams to be used/retrieved by calculators
 constexpr char kInputStream[] = "input_video";
 constexpr char kOutputStream[] = "output_video";
-constexpr char kLandmarksStream[] = "pose_landmarks";
+constexpr char kPoseLandmarksStream[] = "pose_landmarks";
+constexpr char kLeftHandLandmarksStream[] = "left_hand_landmarks";
+constexpr char kRightHandLandmarksStream[] = "right_hand_landmarks";
+constexpr char kFaceLandmarksStream[] = "face_landmarks";
 constexpr char kWindowName[] = "MediaPipe";
 
+// 定义命令行参数，用于指定MediaPipe图配置文件的位置
 // cli inputs
 DEFINE_string(
     calculator_graph_config_file, "",
     "Name of file containing text format CalculatorGraphConfig proto.");
-DEFINE_string(input_video_path, "",
-              "Full path of video to load. "
-              "If not provided, attempt to use a webcam.");
-DEFINE_string(output_video_path, "",
-              "Full path of where to save result (.mp4 only). "
-              "If not provided, show result in a window.");
 
+// MediaPipe框架中的一个函数
 ::mediapipe::Status RunMPPGraph()
 {
+    // 读取并解析计算器图配置。
     std::string calculator_graph_config_contents;
     MP_RETURN_IF_ERROR(mediapipe::file::GetContents(
         FLAGS_calculator_graph_config_file, &calculator_graph_config_contents));
@@ -61,51 +59,36 @@ DEFINE_string(output_video_path, "",
         mediapipe::ParseTextProtoOrDie<mediapipe::CalculatorGraphConfig>(
             calculator_graph_config_contents);
 
+    // 在使用MediaPipe框架中初始化一个计算器图。
     LOG(INFO) << "Initialize the calculator graph.";
     mediapipe::CalculatorGraph graph;
     MP_RETURN_IF_ERROR(graph.Initialize(config));
 
-    LOG(INFO) << "Initialize the camera or load the video.";
+    // 初始化摄像头
+    LOG(INFO) << "Initialize the camera.";
     cv::VideoCapture capture;
-    const bool load_video = !FLAGS_input_video_path.empty();
-    if (load_video)
-    {
-        capture.open(FLAGS_input_video_path);
-    }
-    else
-    {
     capture.open(0);
-    }
     RET_CHECK(capture.isOpened());
-
-    cv::VideoWriter writer;
-    const bool save_video = !FLAGS_output_video_path.empty();
-    if (save_video)
-    {
-        LOG(INFO) << "Prepare video writer.";
-        cv::Mat test_frame;
-        capture.read(test_frame);                   // Consume first frame.
-        capture.set(cv::CAP_PROP_POS_AVI_RATIO, 0); // Rewind to beginning.
-        writer.open(FLAGS_output_video_path,
-                    mediapipe::fourcc('a', 'v', 'c', '1'), // .mp4
-                    capture.get(cv::CAP_PROP_FPS), test_frame.size());
-        RET_CHECK(writer.isOpened());
-    }
-    else
-    {
     cv::namedWindow(kWindowName, /*flags=WINDOW_AUTOSIZE*/ 1);
-    }
 
     // pollers to retrieve streams from graph
     // output stream (i.e. rendered landmark frame)
 
+    // 初始化了MediaPipe计算图的执行，并设置了用于从指定输出流中提取数据的`OutputStreamPoller`。
     LOG(INFO) << "Start running the calculator graph.";
     ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller poller,
                      graph.AddOutputStreamPoller(kOutputStream));
-    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller poller_landmark,
+    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller pose_poller_landmark,
-                     graph.AddOutputStreamPoller(kLandmarksStream));
+                     graph.AddOutputStreamPoller(kPoseLandmarksStream));
+    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller face_poller_landmark,
+                     graph.AddOutputStreamPoller(kFaceLandmarksStream));
+    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller left_hand_poller_landmark,
+                     graph.AddOutputStreamPoller(kLeftHandLandmarksStream));
+    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller right_hand_poller_landmark,
+                     graph.AddOutputStreamPoller(kRightHandLandmarksStream));
     MP_RETURN_IF_ERROR(graph.StartRun({}));
 
+    // 捕获摄像头的每一帧，转换颜色格式，并在需要时进行水平翻转
     LOG(INFO) << "Start grabbing and processing frames.";
     size_t frame_timestamp = 0;
     bool grab_frames = true;
@@ -118,11 +101,9 @@ DEFINE_string(output_video_path, "",
             break; // End of video.
         cv::Mat camera_frame;
         cv::cvtColor(camera_frame_raw, camera_frame, cv::COLOR_BGR2RGB);
-        if (!load_video)
-        {
         cv::flip(camera_frame, camera_frame, /*flipcode=HORIZONTAL*/ 1);
-        }
 
+        // 将OpenCV的`cv::Mat`格式的帧转换为MediaPipe的`ImageFrame`格式。
         // Wrap Mat into an ImageFrame.
         auto input_frame = absl::make_unique<mediapipe::ImageFrame>(
             mediapipe::ImageFormat::SRGB, camera_frame.cols, camera_frame.rows,
@@ -130,70 +111,115 @@ DEFINE_string(output_video_path, "",
         cv::Mat input_frame_mat = mediapipe::formats::MatView(input_frame.get());
         camera_frame.copyTo(input_frame_mat);
 
+        // 负责将一个图像帧发送到MediaPipe的计算图中进行处理。
         // Send image packet into the graph.
         MP_RETURN_IF_ERROR(graph.AddPacketToInputStream(
             kInputStream, mediapipe::Adopt(input_frame.release())
                               .At(mediapipe::Timestamp(frame_timestamp++))));
 
+        // 从MediaPipe图的输出流中获取处理后的图像帧，并将其存储在`output_frame`中。
         // Get the graph result packet, or stop if that fails.
         ::mediapipe::Packet packet;
         if (!poller.Next(&packet))
             break;
+
+        // Use packet.Get to recover values from packet
         auto &output_frame = packet.Get<::mediapipe::ImageFrame>();
 
+        // 从MediaPipe图的输出流中提取手部标记，并将其存储在`multi_hand_landmarks`变量中。
         // Get the packet containing multi_hand_landmarks.
-        ::mediapipe::Packet landmarks_packet;
+        ::mediapipe::Packet pose_landmarks_packet;
-        if (!poller_landmark.Next(&landmarks_packet))
+        ::mediapipe::Packet face_landmarks_packet;
+        ::mediapipe::Packet left_hand_landmarks_packet;
+        ::mediapipe::Packet right_hand_landmarks_packet;
+
+        if (!pose_poller_landmark.Next(&pose_landmarks_packet))
+            break;
+        if (!face_poller_landmark.Next(&face_landmarks_packet))
+            break;
+        if (!left_hand_poller_landmark.Next(&left_hand_landmarks_packet))
+            break;
+        if (!right_hand_poller_landmark.Next(&right_hand_landmarks_packet))
             break;
 
-        // const auto &multi_hand_landmarks =
+        const auto &pose_landmarks = pose_landmarks_packet.Get<mediapipe::NormalizedLandmarkList>();
-        //     landmarks_packet.Get<
+        const auto &face_landmarks = face_landmarks_packet.Get<mediapipe::NormalizedLandmarkList>();
-        //         std::vector<::mediapipe::NormalizedLandmarkList>>();
+        const auto &left_hand_landmarks = left_hand_landmarks_packet.Get<mediapipe::NormalizedLandmarkList>();
-
+        const auto &right_hand_landmarks = right_hand_landmarks_packet.Get<mediapipe::NormalizedLandmarkList>();
-        const auto &pose_landmarks = landmarks_packet.Get<mediapipe::NormalizedLandmarkList>();
 
         LOG(INFO) << "#Pose landmarks: " << pose_landmarks.landmark_size();
-
         for (int i = 0; i < pose_landmarks.landmark_size(); ++i)
         {
             const auto &landmark = pose_landmarks.landmark(i);
-            LOG(INFO) << "\tLandmark [" << i << "]: ("
+            LOG(INFO) << "\tPose Landmark [" << i << "]: ("
                       << landmark.x() << ", "
                       << landmark.y() << ", "
                       << landmark.z() << ")";
         }
 
+        LOG(INFO) << "#Face landmarks: " << face_landmarks.landmark_size();
+        for (int i = 0; i < face_landmarks.landmark_size(); ++i)
+        {
+            const auto &landmark = face_landmarks.landmark(i);
+            LOG(INFO) << "\tFace Landmark [" << i << "]: ("
+                      << landmark.x() << ", "
+                      << landmark.y() << ", "
+                      << landmark.z() << ")";
+        }
+
+        LOG(INFO) << "#Left Hand landmarks: " << left_hand_landmarks.landmark_size();
+        for (int i = 0; i < left_hand_landmarks.landmark_size(); ++i)
+        {
+            const auto &landmark = left_hand_landmarks.landmark(i);
+            LOG(INFO) << "\tLeft Hand Landmark [" << i << "]: ("
+                      << landmark.x() << ", "
+                      << landmark.y() << ", "
+                      << landmark.z() << ")";
+        }
+
+        LOG(INFO) << "#Right Hand landmarks: " << right_hand_landmarks.landmark_size();
+        for (int i = 0; i < right_hand_landmarks.landmark_size(); ++i)
+        {
+            const auto &landmark = right_hand_landmarks.landmark(i);
+            LOG(INFO) << "\tFace Landmark [" << i << "]: ("
+                      << landmark.x() << ", "
+                      << landmark.y() << ", "
+                      << landmark.z() << ")";
+        }
         // Use packet.Get to recover values from packet
 
+        // 使用OpenCV和MediaPipe进行图像处理和显示。
         // Convert back to opencv for display or saving.
         cv::Mat output_frame_mat = mediapipe::formats::MatView(&output_frame);
         cv::cvtColor(output_frame_mat, output_frame_mat, cv::COLOR_RGB2BGR);
-        if (save_video)
-        {
-            writer.write(output_frame_mat);
-        }
-        else
-        {
         cv::imshow(kWindowName, output_frame_mat);
+
+        // 这一行会等待5毫秒以查看用户是否按下了任何键。
         // Press any key to exit.
         const int pressed_key = cv::waitKey(5);
         if (pressed_key >= 0 && pressed_key != 255)
             grab_frames = false;
     }
-    }
 
+    // 使用MediaPipe框架和OpenCV库在处理视频数据后的关闭和清理步骤。
     LOG(INFO) << "Shutting down.";
-    if (writer.isOpened())
-        writer.release();
     MP_RETURN_IF_ERROR(graph.CloseInputStream(kInputStream));
     return graph.WaitUntilDone();
 }
 
+// 程序的主入口点，也就是`main`函数。它描述了一个使用MediaPipe框架的程序如何初始化，执行，并处理结果。
 int main(int argc, char **argv)
 {
+    // **初始化 Google 日志**:
     google::InitGoogleLogging(argv[0]);
+
+    // **解析命令行参数**:
     gflags::ParseCommandLineFlags(&argc, &argv, true);
+
+    // **运行 MediaPipe 图**:
     ::mediapipe::Status run_status = RunMPPGraph();
+
+    // **处理结果**:
     if (!run_status.ok())
     {
         LOG(ERROR) << "Failed to run the graph: " << run_status.message();

mediapipe/examples/desktop/demo_run_graph_main_out_pose.cc

@@ -30,25 +30,23 @@
 #include "mediapipe/calculators/util/landmarks_to_render_data_calculator.pb.h"
 #include "mediapipe/framework/formats/landmark.pb.h"
 
+// 这些语句定义了一系列的C++常量表达式。
 // input and output streams to be used/retrieved by calculators
 constexpr char kInputStream[] = "input_video";
 constexpr char kOutputStream[] = "output_video";
 constexpr char kLandmarksStream[] = "pose_landmarks";
 constexpr char kWindowName[] = "MediaPipe";
 
+// 定义命令行参数，用于指定MediaPipe图配置文件的位置
 // cli inputs
 DEFINE_string(
     calculator_graph_config_file, "",
     "Name of file containing text format CalculatorGraphConfig proto.");
-DEFINE_string(input_video_path, "",
-              "Full path of video to load. "
-              "If not provided, attempt to use a webcam.");
-DEFINE_string(output_video_path, "",
-              "Full path of where to save result (.mp4 only). "
-              "If not provided, show result in a window.");
 
+// MediaPipe框架中的一个函数
 ::mediapipe::Status RunMPPGraph()
 {
+    // 读取并解析计算器图配置。
     std::string calculator_graph_config_contents;
     MP_RETURN_IF_ERROR(mediapipe::file::GetContents(
         FLAGS_calculator_graph_config_file, &calculator_graph_config_contents));
@@ -58,44 +56,22 @@ DEFINE_string(output_video_path, "",
         mediapipe::ParseTextProtoOrDie<mediapipe::CalculatorGraphConfig>(
             calculator_graph_config_contents);
 
+    // 在使用MediaPipe框架中初始化一个计算器图。
     LOG(INFO) << "Initialize the calculator graph.";
     mediapipe::CalculatorGraph graph;
     MP_RETURN_IF_ERROR(graph.Initialize(config));
 
-    LOG(INFO) << "Initialize the camera or load the video.";
+    // 初始化摄像头
+    LOG(INFO) << "Initialize the camera.";
     cv::VideoCapture capture;
-    const bool load_video = !FLAGS_input_video_path.empty();
-    if (load_video)
-    {
-        capture.open(FLAGS_input_video_path);
-    }
-    else
-    {
     capture.open(0);
-    }
     RET_CHECK(capture.isOpened());
-
-    cv::VideoWriter writer;
-    const bool save_video = !FLAGS_output_video_path.empty();
-    if (save_video)
-    {
-        LOG(INFO) << "Prepare video writer.";
-        cv::Mat test_frame;
-        capture.read(test_frame);                   // Consume first frame.
-        capture.set(cv::CAP_PROP_POS_AVI_RATIO, 0); // Rewind to beginning.
-        writer.open(FLAGS_output_video_path,
-                    mediapipe::fourcc('a', 'v', 'c', '1'), // .mp4
-                    capture.get(cv::CAP_PROP_FPS), test_frame.size());
-        RET_CHECK(writer.isOpened());
-    }
-    else
-    {
     cv::namedWindow(kWindowName, /*flags=WINDOW_AUTOSIZE*/ 1);
-    }
 
     // pollers to retrieve streams from graph
     // output stream (i.e. rendered landmark frame)
 
+    // 初始化了MediaPipe计算图的执行，并设置了用于从指定输出流中提取数据的`OutputStreamPoller`。
     LOG(INFO) << "Start running the calculator graph.";
     ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller poller,
                      graph.AddOutputStreamPoller(kOutputStream));
@@ -103,6 +79,7 @@ DEFINE_string(output_video_path, "",
                      graph.AddOutputStreamPoller(kLandmarksStream));
     MP_RETURN_IF_ERROR(graph.StartRun({}));
 
+    // 捕获摄像头的每一帧，转换颜色格式，并在需要时进行水平翻转
     LOG(INFO) << "Start grabbing and processing frames.";
     size_t frame_timestamp = 0;
     bool grab_frames = true;
@@ -115,11 +92,9 @@ DEFINE_string(output_video_path, "",
             break; // End of video.
         cv::Mat camera_frame;
         cv::cvtColor(camera_frame_raw, camera_frame, cv::COLOR_BGR2RGB);
-        if (!load_video)
-        {
         cv::flip(camera_frame, camera_frame, /*flipcode=HORIZONTAL*/ 1);
-        }
 
+        // 将OpenCV的`cv::Mat`格式的帧转换为MediaPipe的`ImageFrame`格式。
         // Wrap Mat into an ImageFrame.
         auto input_frame = absl::make_unique<mediapipe::ImageFrame>(
             mediapipe::ImageFormat::SRGB, camera_frame.cols, camera_frame.rows,
@@ -127,17 +102,22 @@ DEFINE_string(output_video_path, "",
         cv::Mat input_frame_mat = mediapipe::formats::MatView(input_frame.get());
         camera_frame.copyTo(input_frame_mat);
 
+        // 负责将一个图像帧发送到MediaPipe的计算图中进行处理。
         // Send image packet into the graph.
         MP_RETURN_IF_ERROR(graph.AddPacketToInputStream(
             kInputStream, mediapipe::Adopt(input_frame.release())
                               .At(mediapipe::Timestamp(frame_timestamp++))));
 
+        // 从MediaPipe图的输出流中获取处理后的图像帧，并将其存储在`output_frame`中。
         // Get the graph result packet, or stop if that fails.
         ::mediapipe::Packet packet;
         if (!poller.Next(&packet))
             break;
+
+        // Use packet.Get to recover values from packet
         auto &output_frame = packet.Get<::mediapipe::ImageFrame>();
 
+        // 从MediaPipe图的输出流中提取手部标记，并将其存储在`multi_hand_landmarks`变量中。
         // Get the packet containing multi_hand_landmarks.
         ::mediapipe::Packet landmarks_packet;
         if (!poller_landmark.Next(&landmarks_packet))
@@ -157,37 +137,38 @@ DEFINE_string(output_video_path, "",
                       << landmark.z() << ")";
         }
 
-        // Use packet.Get to recover values from packet
+        // 使用OpenCV和MediaPipe进行图像处理和显示。
-
         // Convert back to opencv for display or saving.
         cv::Mat output_frame_mat = mediapipe::formats::MatView(&output_frame);
         cv::cvtColor(output_frame_mat, output_frame_mat, cv::COLOR_RGB2BGR);
-        if (save_video)
-        {
-            writer.write(output_frame_mat);
-        }
-        else
-        {
         cv::imshow(kWindowName, output_frame_mat);
+
+        // 这一行会等待5毫秒以查看用户是否按下了任何键。
         // Press any key to exit.
         const int pressed_key = cv::waitKey(5);
         if (pressed_key >= 0 && pressed_key != 255)
             grab_frames = false;
     }
-    }
 
+    // 使用MediaPipe框架和OpenCV库在处理视频数据后的关闭和清理步骤。
     LOG(INFO) << "Shutting down.";
-    if (writer.isOpened())
-        writer.release();
     MP_RETURN_IF_ERROR(graph.CloseInputStream(kInputStream));
     return graph.WaitUntilDone();
 }
 
+// 程序的主入口点，也就是`main`函数。它描述了一个使用MediaPipe框架的程序如何初始化，执行，并处理结果。
 int main(int argc, char **argv)
 {
+    // **初始化 Google 日志**:
     google::InitGoogleLogging(argv[0]);
+
+    // **解析命令行参数**:
     gflags::ParseCommandLineFlags(&argc, &argv, true);
+
+    // **运行 MediaPipe 图**:
     ::mediapipe::Status run_status = RunMPPGraph();
+
+    // **处理结果**:
     if (!run_status.ok())
     {
         LOG(ERROR) << "Failed to run the graph: " << run_status.message();

mediapipe/examples/desktop/face_mesh/BUILD

@@ -30,7 +30,7 @@ cc_binary(
     data = ["//mediapipe/modules/face_landmark:face_landmark_with_attention.tflite"],
     deps = [
         "//mediapipe/examples/desktop:demo_run_graph_main",
-        "//mediapipe/graphs/face_mesh:desktop_calculators",
+        "//mediapipe/graphs/face_mesh:desktop_live_calculators",
     ],
 )
 
@@ -39,7 +39,7 @@ cc_binary(
     data = ["//mediapipe/modules/face_landmark:face_landmark_with_attention.tflite"],
     deps = [
         "//mediapipe/examples/desktop:demo_run_graph_main_out_face",
-        "//mediapipe/graphs/face_mesh:desktop_calculators",
+        "//mediapipe/graphs/face_mesh:desktop_live_calculators",
     ],
 )
 

mediapipe/examples/desktop/hand_tracking/BUILD

@@ -43,7 +43,7 @@ cc_binary(
 cc_binary(
     name = "hand_tracking_out_cpu",
     deps = [
-        "//mediapipe/examples/desktop:demo_run_graph_main_out_hand",
+        "//mediapipe/examples/desktop:demo_run_graph_main_out_hand_cam",
         "//mediapipe/graphs/hand_tracking:desktop_tflite_calculators",
     ],
 )

mediapipe/examples/desktop/holistic_0926.cc

@@ -0,0 +1,232 @@
+// Copyright 2019 The MediaPipe Authors.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+// An example of sending OpenCV webcam frames into a MediaPipe graph.
+
+#include "mediapipe/framework/calculator_framework.h"
+#include "mediapipe/framework/formats/image_frame.h"
+#include "mediapipe/framework/formats/image_frame_opencv.h"
+#include "mediapipe/framework/port/commandlineflags.h"
+#include "mediapipe/framework/port/file_helpers.h"
+#include "mediapipe/framework/port/opencv_highgui_inc.h"
+#include "mediapipe/framework/port/opencv_imgproc_inc.h"
+#include "mediapipe/framework/port/opencv_video_inc.h"
+#include "mediapipe/framework/port/parse_text_proto.h"
+#include "mediapipe/framework/port/status.h"
+
+// Take stream from /mediapipe/graphs/hand_tracking/hand_detection_desktop_live.pbtxt
+//  RendererSubgraph - LANDMARKS:hand_landmarks
+#include "mediapipe/calculators/util/landmarks_to_render_data_calculator.pb.h"
+#include "mediapipe/framework/formats/landmark.pb.h"
+
+// 这些语句定义了一系列的C++常量表达式。
+// input and output streams to be used/retrieved by calculators
+constexpr char kInputStream[] = "input_video";
+constexpr char kOutputStream[] = "output_video";
+constexpr char kPoseLandmarksStream[] = "pose_landmarks";
+constexpr char kLeftHandLandmarksStream[] = "left_hand_landmarks";
+// constexpr char kRightHandLandmarksStream[] = "right_hand_landmarks";
+constexpr char kFaceLandmarksStream[] = "face_landmarks";
+constexpr char kWindowName[] = "MediaPipe";
+
+// 定义命令行参数，用于指定MediaPipe图配置文件的位置
+// cli inputs
+DEFINE_string(
+    calculator_graph_config_file, "",
+    "Name of file containing text format CalculatorGraphConfig proto.");
+
+// MediaPipe框架中的一个函数
+::mediapipe::Status RunMPPGraph()
+{
+    // 读取并解析计算器图配置。
+    std::string calculator_graph_config_contents;
+    MP_RETURN_IF_ERROR(mediapipe::file::GetContents(
+        FLAGS_calculator_graph_config_file, &calculator_graph_config_contents));
+    LOG(INFO) << "Get calculator graph config contents: "
+              << calculator_graph_config_contents;
+    mediapipe::CalculatorGraphConfig config =
+        mediapipe::ParseTextProtoOrDie<mediapipe::CalculatorGraphConfig>(
+            calculator_graph_config_contents);
+
+    // 在使用MediaPipe框架中初始化一个计算器图。
+    LOG(INFO) << "Initialize the calculator graph.";
+    mediapipe::CalculatorGraph graph;
+    MP_RETURN_IF_ERROR(graph.Initialize(config));
+
+    // 初始化摄像头
+    LOG(INFO) << "Initialize the camera.";
+    cv::VideoCapture capture;
+    capture.open(0);
+    RET_CHECK(capture.isOpened());
+    cv::namedWindow(kWindowName, /*flags=WINDOW_AUTOSIZE*/ 1);
+
+    // pollers to retrieve streams from graph
+    // output stream (i.e. rendered landmark frame)
+
+    // 初始化了MediaPipe计算图的执行，并设置了用于从指定输出流中提取数据的`OutputStreamPoller`。
+    LOG(INFO) << "Start running the calculator graph.";
+    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller poller,
+                     graph.AddOutputStreamPoller(kOutputStream));
+    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller pose_poller_landmark,
+                     graph.AddOutputStreamPoller(kPoseLandmarksStream));
+    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller face_poller_landmark,
+                     graph.AddOutputStreamPoller(kFaceLandmarksStream));
+    ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller left_hand_poller_landmark,
+                     graph.AddOutputStreamPoller(kLeftHandLandmarksStream));
+    // ASSIGN_OR_RETURN(::mediapipe::OutputStreamPoller right_hand_poller_landmark,
+    //                  graph.AddOutputStreamPoller(kRightHandLandmarksStream));
+    MP_RETURN_IF_ERROR(graph.StartRun({}));
+
+    // 捕获摄像头的每一帧，转换颜色格式，并在需要时进行水平翻转
+    LOG(INFO) << "Start grabbing and processing frames.";
+    size_t frame_timestamp = 0;
+    bool grab_frames = true;
+    while (grab_frames)
+    {
+        // Capture opencv camera or video frame.
+        cv::Mat camera_frame_raw;
+        capture >> camera_frame_raw;
+        if (camera_frame_raw.empty())
+            break; // End of video.
+        cv::Mat camera_frame;
+        cv::cvtColor(camera_frame_raw, camera_frame, cv::COLOR_BGR2RGB);
+        cv::flip(camera_frame, camera_frame, /*flipcode=HORIZONTAL*/ 1);
+
+        // 将OpenCV的`cv::Mat`格式的帧转换为MediaPipe的`ImageFrame`格式。
+        // Wrap Mat into an ImageFrame.
+        auto input_frame = absl::make_unique<mediapipe::ImageFrame>(
+            mediapipe::ImageFormat::SRGB, camera_frame.cols, camera_frame.rows,
+            mediapipe::ImageFrame::kDefaultAlignmentBoundary);
+        cv::Mat input_frame_mat = mediapipe::formats::MatView(input_frame.get());
+        camera_frame.copyTo(input_frame_mat);
+
+        // 负责将一个图像帧发送到MediaPipe的计算图中进行处理。
+        // Send image packet into the graph.
+        MP_RETURN_IF_ERROR(graph.AddPacketToInputStream(
+            kInputStream, mediapipe::Adopt(input_frame.release())
+                              .At(mediapipe::Timestamp(frame_timestamp++))));
+
+        // 从MediaPipe图的输出流中获取处理后的图像帧，并将其存储在`output_frame`中。
+        // Get the graph result packet, or stop if that fails.
+        ::mediapipe::Packet packet;
+        if (!poller.Next(&packet))
+            break;
+
+        // Use packet.Get to recover values from packet
+        auto &output_frame = packet.Get<::mediapipe::ImageFrame>();
+
+        // 从MediaPipe图的输出流中提取手部标记，并将其存储在`multi_hand_landmarks`变量中。
+        // Get the packet containing multi_hand_landmarks.
+        ::mediapipe::Packet pose_landmarks_packet;
+        ::mediapipe::Packet face_landmarks_packet;
+        ::mediapipe::Packet left_hand_landmarks_packet;
+        // ::mediapipe::Packet right_hand_landmarks_packet;
+
+        if (!pose_poller_landmark.Next(&pose_landmarks_packet))
+            break;
+        if (!face_poller_landmark.Next(&face_landmarks_packet))
+            break;
+        if (!left_hand_poller_landmark.Next(&left_hand_landmarks_packet))
+            break;
+        // if (!right_hand_poller_landmark.Next(&right_hand_landmarks_packet))
+        //     break;
+
+        const auto &pose_landmarks = pose_landmarks_packet.Get<mediapipe::NormalizedLandmarkList>();
+        const auto &face_landmarks = face_landmarks_packet.Get<mediapipe::NormalizedLandmarkList>();
+        // const auto &left_hand_landmarks = left_hand_landmarks_packet.Get<mediapipe::NormalizedLandmarkList>();
+        // const auto &right_hand_landmarks = right_hand_landmarks_packet.Get<mediapipe::NormalizedLandmarkList>();
+
+        LOG(INFO) << "#Pose landmarks: " << pose_landmarks.landmark_size();
+        for (int i = 0; i < pose_landmarks.landmark_size(); ++i)
+        {
+            const auto &landmark = pose_landmarks.landmark(i);
+            LOG(INFO) << "\tPose Landmark [" << i << "]: ("
+                      << landmark.x() << ", "
+                      << landmark.y() << ", "
+                      << landmark.z() << ")";
+        }
+
+        LOG(INFO) << "#Face landmarks: " << face_landmarks.landmark_size();
+        for (int i = 0; i < face_landmarks.landmark_size(); ++i)
+        {
+            const auto &landmark = face_landmarks.landmark(i);
+            LOG(INFO) << "\tFace Landmark [" << i << "]: ("
+                      << landmark.x() << ", "
+                      << landmark.y() << ", "
+                      << landmark.z() << ")";
+        }
+
+        // LOG(INFO) << "#Left Hand landmarks: " << left_hand_landmarks.landmark_size();
+        // for (int i = 0; i < left_hand_landmarks.landmark_size(); ++i)
+        // {
+        //     const auto &landmark = left_hand_landmarks.landmark(i);
+        //     LOG(INFO) << "\tLeft Hand Landmark [" << i << "]: ("
+        //               << landmark.x() << ", "
+        //               << landmark.y() << ", "
+        //               << landmark.z() << ")";
+        // }
+
+        // LOG(INFO) << "#Right Hand landmarks: " << right_hand_landmarks.landmark_size();
+        // for (int i = 0; i < right_hand_landmarks.landmark_size(); ++i)
+        // {
+        //     const auto &landmark = right_hand_landmarks.landmark(i);
+        //     LOG(INFO) << "\tFace Landmark [" << i << "]: ("
+        //               << landmark.x() << ", "
+        //               << landmark.y() << ", "
+        //               << landmark.z() << ")";
+        // }
+        // Use packet.Get to recover values from packet
+
+        // 使用OpenCV和MediaPipe进行图像处理和显示。
+        // Convert back to opencv for display or saving.
+        cv::Mat output_frame_mat = mediapipe::formats::MatView(&output_frame);
+        cv::cvtColor(output_frame_mat, output_frame_mat, cv::COLOR_RGB2BGR);
+        cv::imshow(kWindowName, output_frame_mat);
+
+        // 这一行会等待5毫秒以查看用户是否按下了任何键。
+        // Press any key to exit.
+        const int pressed_key = cv::waitKey(5);
+        if (pressed_key >= 0 && pressed_key != 255)
+            grab_frames = false;
+    }
+
+    // 使用MediaPipe框架和OpenCV库在处理视频数据后的关闭和清理步骤。
+    LOG(INFO) << "Shutting down.";
+    MP_RETURN_IF_ERROR(graph.CloseInputStream(kInputStream));
+    return graph.WaitUntilDone();
+}
+
+// 程序的主入口点，也就是`main`函数。它描述了一个使用MediaPipe框架的程序如何初始化，执行，并处理结果。
+int main(int argc, char **argv)
+{
+    // **初始化 Google 日志**:
+    google::InitGoogleLogging(argv[0]);
+
+    // **解析命令行参数**:
+    gflags::ParseCommandLineFlags(&argc, &argv, true);
+
+    // **运行 MediaPipe 图**:
+    ::mediapipe::Status run_status = RunMPPGraph();
+
+    // **处理结果**:
+    if (!run_status.ok())
+    {
+        LOG(ERROR) << "Failed to run the graph: " << run_status.message();
+    }
+    else
+    {
+        LOG(INFO) << "Success!";
+    }
+    return 0;
+}

mediapipe/examples/desktop/holistic_tracking/BUILD

@@ -41,7 +41,7 @@ cc_binary(
         "//mediapipe/modules/pose_landmark:pose_landmark_full.tflite",
     ],
     deps = [
-        "//mediapipe/examples/desktop:demo_run_graph_main_out_holistic",
+        "//mediapipe/examples/desktop:holistic_0926",
         "//mediapipe/graphs/holistic_tracking:holistic_tracking_cpu_graph_deps",
     ],
 )