1 准备工作

1.1 安装Baze

（1）下载Bazelisk

MediaPipe使用bazel进行构建的，安装bazellisk主要是为了更新bazel

进入bazel的项目https://github.com/bazelbuild/bazelisk/releases，下载二进制文件bazelisk-linux-amd64。

然后将文件移动到/usr/local/bin/bazel/，并修改其可执行权限

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sudo mv bazelisk-linux-amd64 /usr/local/bin/bazel
sudo chmod u+x /usr/local/bin/bazel

检查bazel是否安装成功

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bazel version

可以查看到bazel的版本就算成功。

（2）安装Bazel

从 GitHub 上的 Bazel 版本页面下载名为 bazel-version-installer-linux-x86_64.sh的shell脚本文件。

例如我本次安装的就是bazel-6.3.2-installer-linux-x86_64.sh

执行如下命令：

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# 给bazel-6.3.2-installer-linux-x86_64.sh脚本可执行权限
chmod +x bazel-6.3.2-installer-linux-x86_64.sh
# 下载bazel
./bazel-6.3.2-installer-linux-x86_64.sh --user

根据提示，将 source /home/mahaofei/bin/bazel/bin/bazel-complete.bash 添加到 ~/.bashrc 中：

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echo 'source /home/mahaofei/.bazel/bin/bazel-complete.bash' >> ~/.bashrc

重启终端，使用bazel --version命令检查是否安装成功。

1.2 下载Mediapipe

（1）克隆项目

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git clone git@github.com:google/mediapipe.git

（2）安装opencv和ffmpeg

进入克隆的项目中，为setup_opencv.sh添加可执行权限，并运行

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chmod +x setup_opencv.sh
./setup_opencv.sh

2 使用

（1）python环境

创建虚拟环境，并安装必要的包

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conda create -n mediapipe python=3.8
conda activate mediapipe
pip install opencv-python
pip install opencv-contrib-python
pip install mediapipe

（2）使用方法

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import cv2
import mediapipe as mp
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles
mp_holistic = mp.solutions.holistic

cap = cv2.VideoCapture(0)
with mp_holistic.Holistic(
    min_detection_confidence=0.5,
    min_tracking_confidence=0.5) as holistic:
  while cap.isOpened():
    success, image = cap.read()
    if not success:
      print("Ignoring empty camera frame.")
      # If loading a video, use 'break' instead of 'continue'.
      continue

    image.flags.writeable = False
    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
    results = holistic.process(image)
	#画图
    image.flags.writeable = True
    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
    mp_drawing.draw_landmarks(
        image,
        results.face_landmarks,
        mp_holistic.FACEMESH_CONTOURS,
        landmark_drawing_spec=None,
        connection_drawing_spec=mp_drawing_styles
        .get_default_face_mesh_contours_style())
    mp_drawing.draw_landmarks(
        image,
        results.pose_landmarks,
        mp_holistic.POSE_CONNECTIONS,
        landmark_drawing_spec=mp_drawing_styles
        .get_default_pose_landmarks_style())

    mp_drawing.draw_landmarks(image, results.left_hand_landmarks, mp_holistic.HAND_CONNECTIONS)
    mp_drawing.draw_landmarks(image, results.right_hand_landmarks, mp_holistic.HAND_CONNECTIONS)
    
	#右手21个节点坐标
    if results.right_hand_landmarks:
        for index, landmarks  in enumerate(results.right_hand_landmarks.landmark):
            print(index,landmarks )
	#鼻子坐标
    #print(results.pose_landmarks.landmark[mp_holistic.PoseLandmark.NOSE])
    cv2.imshow('MediaPipe Holistic', cv2.flip(image, 1))
    if cv2.waitKey(5) & 0xFF == 27:
      break
cap.release()

image.png