{"id":1072756,"date":"2025-01-08T11:19:06","date_gmt":"2025-01-08T03:19:06","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1072756.html"},"modified":"2025-01-08T11:19:08","modified_gmt":"2025-01-08T03:19:08","slug":"python%e7%bc%96%e7%a8%8b%e5%a6%82%e4%bd%95%e9%a9%b1%e5%8a%a8%e6%9c%ba%e5%99%a8%e4%ba%ba-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1072756.html","title":{"rendered":"python\u7f16\u7a0b\u5982\u4f55\u9a71\u52a8\u673a\u5668\u4eba"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25102840\/b3c3129d-d414-454c-85c7-a5f9e8227e48.webp\" alt=\"python\u7f16\u7a0b\u5982\u4f55\u9a71\u52a8\u673a\u5668\u4eba\" \/><\/p>\n<p><p> <strong>Python\u7f16\u7a0b\u9a71\u52a8\u673a\u5668\u4eba\u4e3b\u8981\u901a\u8fc7\u4ee5\u4e0b\u51e0\u79cd\u65b9\u5f0f\uff1a\u4f7f\u7528\u673a\u5668\u4eba\u63a7\u5236\u5e93\u3001\u4e0e\u786c\u4ef6\u63a5\u53e3\u901a\u4fe1\u3001\u5b9e\u73b0\u81ea\u52a8\u5316\u4efb\u52a1\u3001\u7f16\u5199\u81ea\u5b9a\u4e49\u7b97\u6cd5\u3002<\/strong>\u5176\u4e2d\uff0c\u4f7f\u7528\u673a\u5668\u4eba\u63a7\u5236\u5e93\u662f\u6700\u5e38\u89c1\u4e14\u9ad8\u6548\u7684\u65b9\u6cd5\u3002\u673a\u5668\u4eba\u63a7\u5236\u5e93\u5982ROS\uff08\u673a\u5668\u4eba\u64cd\u4f5c\u7cfb\u7edf\uff09\u3001PyRobot\u3001Pygame\u7b49\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u548c\u63a5\u53e3\uff0c\u80fd\u591f\u5927\u5927\u7b80\u5316\u5f00\u53d1\u8fc7\u7a0b\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u5e93\u6765\u9a71\u52a8\u673a\u5668\u4eba\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528\u673a\u5668\u4eba\u63a7\u5236\u5e93<\/h3>\n<\/p>\n<p><h4>1\u3001ROS\uff08\u673a\u5668\u4eba\u64cd\u4f5c\u7cfb\u7edf\uff09<\/h4>\n<\/p>\n<p><p>ROS\u662f\u4e00\u4e2a\u7075\u6d3b\u7684\u673a\u5668\u4eba\u8f6f\u4ef6\u6846\u67b6\uff0c\u5b83\u5305\u542b\u4e86\u8bf8\u591a\u5de5\u5177\u3001\u5e93\u548c\u7ea6\u5b9a\uff0c\u53ef\u4ee5\u7b80\u5316\u5f00\u53d1\u590d\u6742\u548c\u7a33\u5065\u7684\u673a\u5668\u4eba\u884c\u4e3a\u3002\u901a\u8fc7ROS\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u5728Python\u4e2d\u4f7f\u7528\u5176\u63d0\u4f9b\u7684rospy\u5305\u6765\u7f16\u5199\u63a7\u5236\u673a\u5668\u4eba\u8fd0\u52a8\u7684\u7a0b\u5e8f\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u5b89\u88c5ROS<\/strong>\uff1aROS\u7684\u5b89\u88c5\u56e0\u64cd\u4f5c\u7cfb\u7edf\u800c\u5f02\uff0cUbuntu\u662f\u6700\u5e38\u7528\u7684\u7cfb\u7edf\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a\n<pre><code class=\"language-bash\">sudo apt update<\/p>\n<p>sudo apt install ros-noetic-desktop-full<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li><strong>\u521b\u5efa\u5de5\u4f5c\u7a7a\u95f4<\/strong>\uff1a\u5728\u7ec8\u7aef\u4e2d\u521b\u5efa\u548c\u521d\u59cb\u5316\u5de5\u4f5c\u7a7a\u95f4\uff1a\n<pre><code class=\"language-bash\">mkdir -p ~\/catkin_ws\/src<\/p>\n<p>cd ~\/catkin_ws\/<\/p>\n<p>catkin_make<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li><strong>\u7f16\u5199Python\u811a\u672c<\/strong>\uff1a\u5728\u5de5\u4f5c\u7a7a\u95f4\u7684src\u76ee\u5f55\u4e0b\u521b\u5efa\u4e00\u4e2a\u65b0\u7684ROS\u5305\uff0c\u5e76\u5728\u5305\u4e2d\u7f16\u5199\u63a7\u5236\u673a\u5668\u4eba\u7684Python\u811a\u672c\u3002\n<pre><code class=\"language-bash\">cd ~\/catkin_ws\/src<\/p>\n<p>catkin_create_pkg my_robot_control rospy std_msgs<\/p>\n<p>cd my_robot_control<\/p>\n<p>mkdir scripts<\/p>\n<p>touch scripts\/move_robot.py<\/p>\n<p>chmod +x scripts\/move_robot.py<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p>\u5728<code>move_robot.py<\/code>\u4e2d\u5199\u5165\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<pre><code class=\"language-python\">#!\/usr\/bin\/env python<\/p>\n<p>import rospy<\/p>\n<p>from geometry_msgs.msg import Twist<\/p>\n<p>def move():<\/p>\n<p>    rospy.init_node(&#39;robot_mover&#39;, anonymous=True)<\/p>\n<p>    velocity_publisher = rospy.Publisher(&#39;\/cmd_vel&#39;, Twist, queue_size=10)<\/p>\n<p>    vel_msg = Twist()<\/p>\n<p>    vel_msg.linear.x = 0.5<\/p>\n<p>    vel_msg.angular.z = 0.5<\/p>\n<p>    rate = rospy.Rate(10)<\/p>\n<p>    while not rospy.is_shutdown():<\/p>\n<p>        velocity_publisher.publish(vel_msg)<\/p>\n<p>        rate.sleep()<\/p>\n<p>if __name__ == &#39;__m<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>n__&#39;:<\/p>\n<p>    try:<\/p>\n<p>        move()<\/p>\n<p>    except rospy.ROSInterruptException:<\/p>\n<p>        pass<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p>\u8fd9\u4e2a\u811a\u672c\u5c06\u4f7f\u673a\u5668\u4eba\u4ee50.5\u7684\u7ebf\u901f\u5ea6\u548c0.5\u7684\u89d2\u901f\u5ea6\u79fb\u52a8\u3002<\/li>\n<\/p>\n<\/ul>\n<p><h4>2\u3001PyRobot<\/h4>\n<\/p>\n<p><p>PyRobot\u662fFacebook\u5f00\u53d1\u7684\u4e00\u4e2a\u7528\u4e8e\u673a\u5668\u4eba\u63a7\u5236\u7684\u9ad8\u7ea7\u5e93\u3002\u5b83\u80fd\u591f\u7b80\u5316ROS\u7684\u4f7f\u7528\uff0c\u5e76\u4e14\u652f\u6301\u591a\u79cd\u673a\u5668\u4eba\u5e73\u53f0\uff0c\u5982LoCoBot\u3001TurtleBot\u7b49\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u5b89\u88c5PyRobot<\/strong>\uff1a\u53ef\u4ee5\u901a\u8fc7pip\u5b89\u88c5\uff1a\n<pre><code class=\"language-bash\">pip install pyrobot<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li><strong>\u4f7f\u7528PyRobot\u63a7\u5236\u673a\u5668\u4eba<\/strong>\uff1a\n<pre><code class=\"language-python\">from pyrobot import Robot<\/p>\n<p>robot = Robot(&#39;locobot&#39;)<\/p>\n<h2><strong>\u63a7\u5236\u673a\u5668\u4eba\u79fb\u52a8<\/strong><\/h2>\n<p>robot.base.go_to_relative([0.5, 0.0, 0.0])  # \u5411\u524d\u79fb\u52a80.5\u7c73<\/p>\n<p>robot.base.go_to_relative([0.0, 0.0, 1.57])  # \u65cb\u8f6c90\u5ea6<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>\u4e8c\u3001\u4e0e\u786c\u4ef6\u63a5\u53e3\u901a\u4fe1<\/h3>\n<\/p>\n<p><h4>1\u3001\u4f7f\u7528GPIO\u63a7\u5236\u673a\u5668\u4eba\u786c\u4ef6<\/h4>\n<\/p>\n<p><p>\u5bf9\u4e8e\u4e00\u4e9b\u7b80\u5355\u7684\u673a\u5668\u4eba\uff0c\u53ef\u4ee5\u901a\u8fc7Python\u7684GPIO\u5e93\u76f4\u63a5\u4e0e\u786c\u4ef6\u63a5\u53e3\u901a\u4fe1\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Raspberry Pi\u63a7\u5236\u4e00\u4e2a\u7b80\u5355\u7684\u673a\u5668\u4eba\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u5b89\u88c5RPi.GPIO<\/strong>\uff1a\n<pre><code class=\"language-bash\">sudo apt-get install python3-rpi.gpio<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li><strong>\u7f16\u5199\u63a7\u5236\u811a\u672c<\/strong>\uff1a\n<pre><code class=\"language-python\">import RPi.GPIO as GPIO<\/p>\n<p>import time<\/p>\n<p>GPIO.setmode(GPIO.BCM)<\/p>\n<p>MOTOR_PIN = 18<\/p>\n<p>GPIO.setup(MOTOR_PIN, GPIO.OUT)<\/p>\n<p>try:<\/p>\n<p>    while True:<\/p>\n<p>        GPIO.output(MOTOR_PIN, GPIO.HIGH)<\/p>\n<p>        time.sleep(1)<\/p>\n<p>        GPIO.output(MOTOR_PIN, GPIO.LOW)<\/p>\n<p>        time.sleep(1)<\/p>\n<p>except KeyboardInterrupt:<\/p>\n<p>    GPIO.cleanup()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ul>\n<p><h4>2\u3001\u4f7f\u7528\u4e32\u53e3\u901a\u4fe1<\/h4>\n<\/p>\n<p><p>\u901a\u8fc7\u4e32\u53e3\uff08Serial\uff09\u901a\u4fe1\uff0cPython\u53ef\u4ee5\u4e0e\u673a\u5668\u4eba\u63a7\u5236\u677f\uff08\u5982Arduino\uff09\u8fdb\u884c\u6570\u636e\u4ea4\u6362\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u5b89\u88c5pySerial<\/strong>\uff1a\n<pre><code class=\"language-bash\">pip install pyserial<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li><strong>Python\u63a7\u5236Arduino<\/strong>\uff1a\n<pre><code class=\"language-python\">import serial<\/p>\n<p>import time<\/p>\n<p>arduino = serial.Serial(&#39;\/dev\/ttyUSB0&#39;, 9600, timeout=1)<\/p>\n<p>time.sleep(2)<\/p>\n<p>arduino.write(b&#39;1&#39;)  # \u53d1\u9001\u6570\u636e\u5230Arduino<\/p>\n<p>data = arduino.readline().decode(&#39;utf-8&#39;).rstrip()  # \u63a5\u6536Arduino\u6570\u636e<\/p>\n<p>print(data)<\/p>\n<p>arduino.close()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>\u4e09\u3001\u5b9e\u73b0\u81ea\u52a8\u5316\u4efb\u52a1<\/h3>\n<\/p>\n<p><p>Python\u53ef\u4ee5\u7528\u4e8e\u7f16\u5199\u590d\u6742\u7684\u81ea\u52a8\u5316\u4efb\u52a1\u903b\u8f91\uff0c\u4f7f\u673a\u5668\u4eba\u80fd\u591f\u5728\u7279\u5b9a\u6761\u4ef6\u4e0b\u6267\u884c\u7279\u5b9a\u52a8\u4f5c\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u57fa\u4e8e\u4f20\u611f\u5668\u6570\u636e\u7684\u51b3\u7b56<\/h4>\n<\/p>\n<p><p>\u673a\u5668\u4eba\u901a\u5e38\u4f7f\u7528\u5404\u79cd\u4f20\u611f\u5668\uff08\u5982\u8d85\u58f0\u6ce2\u4f20\u611f\u5668\u3001\u7ea2\u5916\u4f20\u611f\u5668\u3001\u6444\u50cf\u5934\u7b49\uff09\u6765\u611f\u77e5\u73af\u5883\u3002Python\u53ef\u4ee5\u5904\u7406\u4f20\u611f\u5668\u6570\u636e\u5e76\u505a\u51fa\u51b3\u7b56\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u8d85\u58f0\u6ce2\u4f20\u611f\u5668\u907f\u969c<\/strong>\uff1a\n<pre><code class=\"language-python\">import RPi.GPIO as GPIO<\/p>\n<p>import time<\/p>\n<p>TRIG = 23<\/p>\n<p>ECHO = 24<\/p>\n<p>MOTOR_PIN = 18<\/p>\n<p>GPIO.setmode(GPIO.BCM)<\/p>\n<p>GPIO.setup(TRIG, GPIO.OUT)<\/p>\n<p>GPIO.setup(ECHO, GPIO.IN)<\/p>\n<p>GPIO.setup(MOTOR_PIN, GPIO.OUT)<\/p>\n<p>def distance():<\/p>\n<p>    GPIO.output(TRIG, True)<\/p>\n<p>    time.sleep(0.00001)<\/p>\n<p>    GPIO.output(TRIG, False)<\/p>\n<p>    start_time = time.time()<\/p>\n<p>    stop_time = time.time()<\/p>\n<p>    while GPIO.input(ECHO) == 0:<\/p>\n<p>        start_time = time.time()<\/p>\n<p>    while GPIO.input(ECHO) == 1:<\/p>\n<p>        stop_time = time.time()<\/p>\n<p>    elapsed_time = stop_time - start_time<\/p>\n<p>    distance = (elapsed_time * 34300) \/ 2<\/p>\n<p>    return distance<\/p>\n<p>try:<\/p>\n<p>    while True:<\/p>\n<p>        dist = distance()<\/p>\n<p>        if dist &lt; 20:<\/p>\n<p>            GPIO.output(MOTOR_PIN, GPIO.LOW)<\/p>\n<p>        else:<\/p>\n<p>            GPIO.output(MOTOR_PIN, GPIO.HIGH)<\/p>\n<p>        time.sleep(0.5)<\/p>\n<p>except KeyboardInterrupt:<\/p>\n<p>    GPIO.cleanup()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ul>\n<p><h4>2\u3001\u56fe\u50cf\u5904\u7406\u4e0e\u8ba1\u7b97\u673a\u89c6\u89c9<\/h4>\n<\/p>\n<p><p>\u901a\u8fc7Python\u7684OpenCV\u5e93\uff0c\u673a\u5668\u4eba\u53ef\u4ee5\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\uff0c\u5982\u76ee\u6807\u68c0\u6d4b\u3001\u7269\u4f53\u8bc6\u522b\u7b49\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u5b89\u88c5OpenCV<\/strong>\uff1a\n<pre><code class=\"language-bash\">pip install opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li><strong>\u4f7f\u7528OpenCV\u8fdb\u884c\u56fe\u50cf\u5904\u7406<\/strong>\uff1a\n<pre><code class=\"language-python\">import cv2<\/p>\n<p>cap = cv2.VideoCapture(0)<\/p>\n<p>while True:<\/p>\n<p>    ret, frame = cap.read()<\/p>\n<p>    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)<\/p>\n<p>    cv2.imshow(&#39;frame&#39;, gray)<\/p>\n<p>    if cv2.waitKey(1) &amp; 0xFF == ord(&#39;q&#39;):<\/p>\n<p>        break<\/p>\n<p>cap.release()<\/p>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>\u56db\u3001\u7f16\u5199\u81ea\u5b9a\u4e49\u7b97\u6cd5<\/h3>\n<\/p>\n<p><p>\u673a\u5668\u4eba\u63a7\u5236\u5f80\u5f80\u9700\u8981\u5b9a\u5236\u5316\u7684\u7b97\u6cd5\uff0c\u5982\u8def\u5f84\u89c4\u5212\u3001\u8fd0\u52a8\u63a7\u5236\u3001<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u7b49\u3002Python\u4e3a\u8fd9\u4e9b\u4efb\u52a1\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5e93\u548c\u5de5\u5177\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u8def\u5f84\u89c4\u5212\u7b97\u6cd5<\/h4>\n<\/p>\n<p><p>\u8def\u5f84\u89c4\u5212\u662f\u673a\u5668\u4eba\u5bfc\u822a\u7684\u6838\u5fc3\u4efb\u52a1\u3002\u5e38\u7528\u7684\u8def\u5f84\u89c4\u5212\u7b97\u6cd5\u5305\u62ecA*\u7b97\u6cd5\u3001Dijkstra\u7b97\u6cd5\u7b49\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u5b9e\u73b0A*\u7b97\u6cd5<\/strong>\uff1a\n<pre><code class=\"language-python\">import heapq<\/p>\n<p>class Node:<\/p>\n<p>    def __init__(self, x, y, cost, parent=None):<\/p>\n<p>        self.x = x<\/p>\n<p>        self.y = y<\/p>\n<p>        self.cost = cost<\/p>\n<p>        self.parent = parent<\/p>\n<p>    def __lt__(self, other):<\/p>\n<p>        return self.cost &lt; other.cost<\/p>\n<p>def astar(grid, start, goal):<\/p>\n<p>    open_list = []<\/p>\n<p>    heapq.heappush(open_list, Node(start[0], start[1], 0))<\/p>\n<p>    closed_list = set()<\/p>\n<p>    directions = [(0, 1), (1, 0), (0, -1), (-1, 0)]<\/p>\n<p>    while open_list:<\/p>\n<p>        current_node = heapq.heappop(open_list)<\/p>\n<p>        if (current_node.x, current_node.y) in closed_list:<\/p>\n<p>            continue<\/p>\n<p>        closed_list.add((current_node.x, current_node.y))<\/p>\n<p>        if (current_node.x, current_node.y) == goal:<\/p>\n<p>            path = []<\/p>\n<p>            while current_node:<\/p>\n<p>                path.append((current_node.x, current_node.y))<\/p>\n<p>                current_node = current_node.parent<\/p>\n<p>            return path[::-1]<\/p>\n<p>        for direction in directions:<\/p>\n<p>            new_x = current_node.x + direction[0]<\/p>\n<p>            new_y = current_node.y + direction[1]<\/p>\n<p>            if 0 &lt;= new_x &lt; len(grid) and 0 &lt;= new_y &lt; len(grid[0]) and grid[new_x][new_y] == 0:<\/p>\n<p>                new_cost = current_node.cost + 1<\/p>\n<p>                heapq.heappush(open_list, Node(new_x, new_y, new_cost, current_node))<\/p>\n<p>    return []<\/p>\n<p>grid = [<\/p>\n<p>    [0, 1, 0, 0, 0],<\/p>\n<p>    [0, 1, 0, 1, 0],<\/p>\n<p>    [0, 0, 0, 1, 0],<\/p>\n<p>    [0, 1, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 1, 0]<\/p>\n<p>]<\/p>\n<p>start = (0, 0)<\/p>\n<p>goal = (4, 4)<\/p>\n<p>path = astar(grid, start, goal)<\/p>\n<p>print(&quot;Path:&quot;, path)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ul>\n<p><h4>2\u3001\u673a\u5668\u5b66\u4e60\u4e0e<a href=\"https:\/\/docs.pingcode.com\/tag\/AI\" target=\"_blank\">\u4eba\u5de5\u667a\u80fd<\/a><\/h4>\n<\/p>\n<p><p>\u901a\u8fc7\u673a\u5668\u5b66\u4e60\uff0c\u673a\u5668\u4eba\u53ef\u4ee5\u5b66\u4e60\u548c\u9002\u5e94\u73af\u5883\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u590d\u6742\u7684\u884c\u4e3a\u3002Python\u7684scikit-learn\u3001TensorFlow\u3001PyTorch\u7b49\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u673a\u5668\u5b66\u4e60\u5de5\u5177\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u4f7f\u7528scikit-learn\u8bad\u7ec3\u4e00\u4e2a\u7b80\u5355\u6a21\u578b<\/strong>\uff1a\n<pre><code class=\"language-python\">from sklearn.datasets import load_iris<\/p>\n<p>from sklearn.model_selection import train_test_split<\/p>\n<p>from sklearn.ensemble import RandomForestClassifier<\/p>\n<p>from sklearn.metrics import accuracy_score<\/p>\n<p>iris = load_iris()<\/p>\n<p>X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, test_size=0.2)<\/p>\n<p>model = RandomForestClassifier()<\/p>\n<p>model.fit(X_train, y_train)<\/p>\n<p>predictions = model.predict(X_test)<\/p>\n<p>accuracy = accuracy_score(y_test, predictions)<\/p>\n<p>print(&quot;Accuracy:&quot;, accuracy)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>Python\u7f16\u7a0b\u9a71\u52a8\u673a\u5668\u4eba\u6d89\u53ca\u591a\u4e2a\u65b9\u9762\uff0c\u5305\u62ec\u4f7f\u7528\u673a\u5668\u4eba\u63a7\u5236\u5e93\u3001\u4e0e\u786c\u4ef6\u63a5\u53e3\u901a\u4fe1\u3001\u5b9e\u73b0\u81ea\u52a8\u5316\u4efb\u52a1\u3001\u7f16\u5199\u81ea\u5b9a\u4e49\u7b97\u6cd5\u7b49\u3002\u901a\u8fc7\u638c\u63e1\u8fd9\u4e9b\u65b9\u6cd5\u548c\u6280\u672f\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u7075\u6d3b\u5730\u63a7\u5236\u548c\u7f16\u7a0b\u673a\u5668\u4eba\uff0c\u5b9e\u73b0\u5404\u79cd\u590d\u6742\u7684\u529f\u80fd\u3002\u65e0\u8bba\u662f\u65b0\u624b\u8fd8\u662f\u7ecf\u9a8c\u4e30\u5bcc\u7684\u5f00\u53d1\u8005\uff0cPython\u90fd\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\u548c\u8d44\u6e90\uff0c\u5e2e\u52a9\u4ed6\u4eec\u5728\u673a\u5668\u4eba\u9886\u57df\u53d6\u5f97\u6210\u529f\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u7f16\u7a0b\u63a7\u5236\u673a\u5668\u4eba\u8fdb\u884c\u57fa\u672c\u52a8\u4f5c\uff1f<\/strong><br \/>\u4f7f\u7528Python\u7f16\u7a0b\u63a7\u5236\u673a\u5668\u4eba\u901a\u5e38\u9700\u8981\u4f9d\u8d56\u4e8e\u7279\u5b9a\u7684\u5e93\u548c\u6846\u67b6\uff0c\u4f8b\u5982Robot Operating System (ROS)\u6216Pygame\u3002\u9996\u5148\uff0c\u786e\u4fdd\u673a\u5668\u4eba\u786c\u4ef6\u7684\u9a71\u52a8\u7a0b\u5e8f\u5df2\u7ecf\u6b63\u786e\u5b89\u88c5\u3002\u63a5\u4e0b\u6765\uff0c\u53ef\u4ee5\u901a\u8fc7\u7f16\u5199\u7b80\u5355\u7684\u811a\u672c\u6765\u5b9a\u4e49\u673a\u5668\u4eba\u7684\u57fa\u672c\u52a8\u4f5c\uff0c\u6bd4\u5982\u524d\u8fdb\u3001\u540e\u9000\u3001\u8f6c\u5f2f\u7b49\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684GPIO\u5e93\u63a7\u5236\u673a\u5668\u4eba\u7684\u7535\u673a\uff0c\u5b9e\u73b0\u8fd0\u52a8\u6307\u4ee4\u3002\u7406\u89e3\u673a\u5668\u4eba\u7684\u8fd0\u52a8\u6a21\u578b\u548c\u4f20\u611f\u5668\u53cd\u9988\u5c06\u6709\u52a9\u4e8e\u7f16\u5199\u66f4\u590d\u6742\u7684\u63a7\u5236\u7a0b\u5e8f\u3002<\/p>\n<p><strong>Python\u7f16\u7a0b\u662f\u5426\u9002\u5408\u521d\u5b66\u8005\u8fdb\u884c\u673a\u5668\u4eba\u5f00\u53d1\uff1f<\/strong><br \/>Python\u56e0\u5176\u7b80\u6d01\u6613\u8bfb\u7684\u8bed\u6cd5\u800c\u6210\u4e3a\u521d\u5b66\u8005\u5b66\u4e60\u7f16\u7a0b\u548c\u673a\u5668\u4eba\u5f00\u53d1\u7684\u7406\u60f3\u9009\u62e9\u3002\u8bb8\u591a\u673a\u5668\u4eba\u5e73\u53f0\u548c\u6559\u80b2\u673a\u6784\u5df2\u7ecf\u5f00\u59cb\u4f7f\u7528Python\u4f5c\u4e3a\u6559\u5b66\u8bed\u8a00\uff0c\u56e0\u4e3a\u5b83\u53ef\u4ee5\u5feb\u901f\u5b9e\u73b0\u529f\u80fd\u5e76\u8fdb\u884c\u8c03\u8bd5\u3002\u6b64\u5916\uff0cPython\u7684\u4e30\u5bcc\u751f\u6001\u7cfb\u7edf\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u7b2c\u4e09\u65b9\u5e93\u548c\u5de5\u5177\uff0c\u8fd9\u4e9b\u90fd\u53ef\u4ee5\u5e2e\u52a9\u521d\u5b66\u8005\u66f4\u5feb\u5730\u638c\u63e1\u673a\u5668\u4eba\u7f16\u7a0b\u3002<\/p>\n<p><strong>\u6709\u54ea\u4e9b\u5e38\u7528\u7684Python\u5e93\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u673a\u5668\u4eba\u5e94\u7528\uff1f<\/strong><br \/>\u5728\u673a\u5668\u4eba\u5f00\u53d1\u4e2d\uff0c\u6709\u8bb8\u591a\u5f3a\u5927\u7684Python\u5e93\u53ef\u4ee5\u4f7f\u7528\u3002\u6bd4\u5982\uff0c<code>Pygame<\/code>\u7528\u4e8e\u521b\u5efa\u7b80\u5355\u7684\u6e38\u620f\u548c\u4eff\u771f\u73af\u5883\uff0c<code>OpenCV<\/code>\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\uff0c<code>TensorFlow<\/code>\u548c<code>PyTorch<\/code>\u5219\u9002\u5408\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u3002\u6b64\u5916\uff0c<code>RPi.GPIO<\/code>\u5e93\u4e13\u95e8\u7528\u4e8e\u63a7\u5236\u6811\u8393\u6d3e\u4e0a\u7684GPIO\u5f15\u811a\uff0c\u9002\u5408DIY\u673a\u5668\u4eba\u9879\u76ee\u3002\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u673a\u5668\u4eba\u7cfb\u7edf\uff0c<code>ROS<\/code>\uff08Robot Operating System\uff09\u4e5f\u652f\u6301Python\u63a5\u53e3\uff0c\u80fd\u591f\u5904\u7406\u591a\u79cd\u4f20\u611f\u5668\u548c\u6267\u884c\u5668\u7684\u96c6\u6210\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u7f16\u7a0b\u9a71\u52a8\u673a\u5668\u4eba\u4e3b\u8981\u901a\u8fc7\u4ee5\u4e0b\u51e0\u79cd\u65b9\u5f0f\uff1a\u4f7f\u7528\u673a\u5668\u4eba\u63a7\u5236\u5e93\u3001\u4e0e\u786c\u4ef6\u63a5\u53e3\u901a\u4fe1\u3001\u5b9e\u73b0\u81ea\u52a8\u5316\u4efb\u52a1\u3001\u7f16\u5199\u81ea\u5b9a\u4e49\u7b97 [&hellip;]","protected":false},"author":3,"featured_media":1072761,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1072756"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1072756"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1072756\/revisions"}],"predecessor-version":[{"id":1072763,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1072756\/revisions\/1072763"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1072761"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1072756"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1072756"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1072756"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}