Windows下如何运行mediapipe（极简版）

本文主要是介绍Windows下如何运行mediapipe（极简版），希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

硬件准备：一个USB摄像头

必备库：

1.安装opencv-python库（win下安装opencv非常简单，此处不再赘述）

2.安装mediapipe库

pip install mediapipe

打开vscode，随便新建一个空的.py文件，将示例代码复制进去，这里以face_detection举例：

示例代码网址：Face Detection | mediapipe (google.github.io)

代码内容如下：

import cv2
import mediapipe as mp
mp_face_detection = mp.solutions.face_detection
mp_drawing = mp.solutions.drawing_utils# For static images:
IMAGE_FILES = []
with mp_face_detection.FaceDetection(model_selection=1, min_detection_confidence=0.5) as face_detection:for idx, file in enumerate(IMAGE_FILES):image = cv2.imread(file)# Convert the BGR image to RGB and process it with MediaPipe Face Detection.results = face_detection.process(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))# Draw face detections of each face.if not results.detections:continueannotated_image = image.copy()for detection in results.detections:print('Nose tip:')print(mp_face_detection.get_key_point(detection, mp_face_detection.FaceKeyPoint.NOSE_TIP))mp_drawing.draw_detection(annotated_image, detection)cv2.imwrite('/tmp/annotated_image' + str(idx) + '.png', annotated_image)# For webcam input:
cap = cv2.VideoCapture(0)
with mp_face_detection.FaceDetection(model_selection=0, min_detection_confidence=0.5) as face_detection: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# To improve performance, optionally mark the image as not writeable to# pass by reference.image.flags.writeable = Falseimage = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)results = face_detection.process(image)# Draw the face detection annotations on the image.image.flags.writeable = Trueimage = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)if results.detections:for detection in results.detections:mp_drawing.draw_detection(image, detection)# Flip the image horizontally for a selfie-view display.cv2.imshow('MediaPipe Face Detection', cv2.flip(image, 1))if cv2.waitKey(5) & 0xFF == 27:break
cap.release()

注意代码中间有一行需要选择摄像头（这是唯一可能需要修改的地方）