{"id":1036354,"date":"2024-12-31T12:06:19","date_gmt":"2024-12-31T04:06:19","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1036354.html"},"modified":"2024-12-31T12:06:21","modified_gmt":"2024-12-31T04:06:21","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e7%8e%a9%e8%b7%b3%e4%b8%80%e8%b7%b3","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1036354.html","title":{"rendered":"\u5982\u4f55\u7528python\u73a9\u8df3\u4e00\u8df3"},"content":{"rendered":"

\"\u5982\u4f55\u7528python\u73a9\u8df3\u4e00\u8df3\"<\/p>\n

\u5982\u4f55\u7528Python\u73a9\u8df3\u4e00\u8df3<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528Python\u73a9\u8df3\u4e00\u8df3\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u51c6\u5907\u5f00\u53d1\u73af\u5883\u3001\u901a\u8fc7ADB\u8fde\u63a5\u624b\u673a\u3001\u83b7\u53d6\u6e38\u620f\u622a\u56fe\u3001\u56fe\u50cf\u5904\u7406\u4e0e\u5206\u6790\u3001\u8ba1\u7b97\u8df3\u8dc3\u8ddd\u79bb\u3001\u6a21\u62df\u70b9\u51fb\u64cd\u4f5c<\/strong>\u3002\u5176\u4e2d\uff0c\u901a\u8fc7ADB\u8fde\u63a5\u624b\u673a\u662f\u5173\u952e\u6b65\u9aa4\u4e4b\u4e00\uff0c\u5b83\u4e0d\u4ec5\u80fd\u83b7\u53d6\u6e38\u620f\u622a\u56fe\uff0c\u8fd8\u80fd\u63a7\u5236\u6a21\u62df\u70b9\u51fb\u64cd\u4f5c\u3002<\/p>\n<\/p>\n

\u8981\u4f7f\u7528Python\u73a9\u8df3\u4e00\u8df3\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u5e76\u914d\u7f6eADB\uff08Android Debug Bridge\uff09\uff0c\u7136\u540e\u901a\u8fc7Python\u811a\u672c\u8fde\u63a5\u624b\u673a\uff0c\u83b7\u53d6\u6e38\u620f\u622a\u56fe\u5e76\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u548c\u5206\u6790\uff0c\u8ba1\u7b97\u8df3\u8dc3\u8ddd\u79bb\uff0c\u6700\u540e\u901a\u8fc7ADB\u6a21\u62df\u70b9\u51fb\u64cd\u4f5c\u5b9e\u73b0\u8df3\u8dc3\u3002\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

\u4e00\u3001\u51c6\u5907\u5f00\u53d1\u73af\u5883<\/p>\n<\/p>\n

\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u8ba1\u7b97\u673a\u4e0a\u5df2\u5b89\u88c5Python\u548cADB\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u6240\u9700\u7684Python\u5e93\uff1a<\/p>\n<\/p>\n

pip install pillow numpy opencv-python<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u4e9b\u5e93\u5c06\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u5206\u6790\u3002\u6b64\u5916\uff0c\u8fd8\u9700\u8981\u914d\u7f6eADB\u73af\u5883\u53d8\u91cf\uff0c\u4ee5\u4fbf\u5728\u547d\u4ee4\u884c\u4e2d\u4f7f\u7528ADB\u547d\u4ee4\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u901a\u8fc7ADB\u8fde\u63a5\u624b\u673a<\/p>\n<\/p>\n
\u9996\u5148\uff0c\u542f\u7528\u624b\u673a\u7684\u5f00\u53d1\u8005\u9009\u9879\u548cUSB\u8c03\u8bd5\u6a21\u5f0f\uff0c\u7136\u540e\u5c06\u624b\u673a\u901a\u8fc7USB\u7ebf\u8fde\u63a5\u5230\u8ba1\u7b97\u673a\u3002\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u786e\u8ba4ADB\u662f\u5426\u6b63\u786e\u8fde\u63a5\u5230\u624b\u673a\uff1a<\/p>\n<\/p>\n
adb devices<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5982\u679c\u8bbe\u5907\u5217\u8868\u4e2d\u663e\u793a\u4e86\u624b\u673a\u7684\u5e8f\u5217\u53f7\uff0c\u8bf4\u660e\u8fde\u63a5\u6210\u529f\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u83b7\u53d6\u6e38\u620f\u622a\u56fe<\/p>\n<\/p>\n
\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u4ece\u624b\u673a\u4e2d\u83b7\u53d6\u6e38\u620f\u622a\u56fe\u5e76\u4fdd\u5b58\u5230\u672c\u5730\uff1a<\/p>\n<\/p>\n
import os<\/p>\n
def get_screenshot():<\/p>\n
    os.system('adb shell screencap -p \/sdcard\/screenshot.png')<\/p>\n
    os.system('adb pull \/sdcard\/screenshot.png')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8be5\u51fd\u6570\u901a\u8fc7ADB\u547d\u4ee4\u83b7\u53d6\u624b\u673a\u5c4f\u5e55\u622a\u56fe\u5e76\u5c06\u5176\u4fdd\u5b58\u5230\u672c\u5730\u8ba1\u7b97\u673a\u3002<\/p>\n<\/p>\n
\u56db\u3001\u56fe\u50cf\u5904\u7406\u4e0e\u5206\u6790<\/p>\n<\/p>\n
\u4f7f\u7528Pillow\u5e93\u8bfb\u53d6\u622a\u56fe\uff0c\u5e76\u901a\u8fc7OpenCV\u548cNumPy\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u548c\u5206\u6790\uff0c\u4ee5\u8bc6\u522b\u5f53\u524d\u68cb\u5b50\u7684\u4f4d\u7f6e\u548c\u76ee\u6807\u4f4d\u7f6e\uff1a<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
import numpy as np<\/p>\n
import cv2<\/p>\n
def process_image(image_path):<\/p>\n
    image = Image.open(image_path)<\/p>\n
    image = np.array(image)<\/p>\n
    # \u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf<\/p>\n
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)<\/p>\n
    # \u4f7f\u7528Canny\u8fb9\u7f18\u68c0\u6d4b<\/p>\n
    edges = cv2.Canny(gray_image, 50, 150)<\/p>\n
    # \u4f7f\u7528Hough\u53d8\u6362\u68c0\u6d4b\u76f4\u7ebf<\/p>\n
    lines = cv2.HoughLinesP(edges, 1, np.pi\/180, 100, minLineLength=50, maxLineGap=10)<\/p>\n
    # \u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u68c0\u6d4b\u5230\u7684\u76f4\u7ebf<\/p>\n
    for line in lines:<\/p>\n
        x1, y1, x2, y2 = line[0]<\/p>\n
        cv2.line(image, (x1, y1), (x2, y2), (0, 255, 0), 2)<\/p>\n
    return image<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8be5\u51fd\u6570\u8bfb\u53d6\u622a\u56fe\u5e76\u901a\u8fc7\u8fb9\u7f18\u68c0\u6d4b\u548cHough\u53d8\u6362\u8bc6\u522b\u56fe\u50cf\u4e2d\u7684\u76f4\u7ebf\u3002\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u8981\u8fdb\u4e00\u6b65\u5904\u7406\u56fe\u50cf\uff0c\u8bc6\u522b\u68cb\u5b50\u548c\u76ee\u6807\u7684\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u8ba1\u7b97\u8df3\u8dc3\u8ddd\u79bb<\/p>\n<\/p>\n
\u6839\u636e\u68cb\u5b50\u548c\u76ee\u6807\u7684\u4f4d\u7f6e\uff0c\u8ba1\u7b97\u8df3\u8dc3\u8ddd\u79bb\u3002\u5047\u8bbe\u68cb\u5b50\u548c\u76ee\u6807\u7684\u5750\u6807\u5206\u522b\u4e3a(x1, y1)\u548c(x2, y2)\uff0c\u5219\u8df3\u8dc3\u8ddd\u79bb\u4e3a\u4e24\u70b9\u4e4b\u95f4\u7684\u6b27\u51e0\u91cc\u5f97\u8ddd\u79bb\uff1a<\/p>\n<\/p>\n
import math<\/p>\n
def calculate_distance(x1, y1, x2, y2):<\/p>\n
    return math.sqrt((x2 - x1)<strong>2 + (y2 - y1)<\/strong>2)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u6a21\u62df\u70b9\u51fb\u64cd\u4f5c<\/p>\n<\/p>\n
\u4f7f\u7528ADB\u547d\u4ee4\u6a21\u62df\u70b9\u51fb\u64cd\u4f5c\uff0c\u5b9e\u73b0\u8df3\u8dc3\u3002\u53ef\u4ee5\u6839\u636e\u8df3\u8dc3\u8ddd\u79bb\u8c03\u6574\u70b9\u51fb\u65f6\u95f4\uff0c\u4ee5\u63a7\u5236\u8df3\u8dc3\u7684\u529b\u5ea6\uff1a<\/p>\n<\/p>\n
def jump(distance):<\/p>\n
    press_time = int(distance * 1.35)  # \u6839\u636e\u5b9e\u9645\u60c5\u51b5\u8c03\u6574\u7cfb\u6570<\/p>\n
    os.system(f'adb shell input swipe 500 1600 500 1600 {press_time}')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u6574\u5408\u4ee3\u7801<\/p>\n<\/p>\n
\u5c06\u4e0a\u8ff0\u6b65\u9aa4\u6574\u5408\u5230\u4e00\u4e2a\u5b8c\u6574\u7684Python\u811a\u672c\u4e2d\uff0c\u5b9e\u73b0\u81ea\u52a8\u8df3\u4e00\u8df3\uff1a<\/p>\n<\/p>\n
import os<\/p>\n
import math<\/p>\n
from PIL import Image<\/p>\n
import numpy as np<\/p>\n
import cv2<\/p>\n
def get_screenshot():<\/p>\n
    os.system('adb shell screencap -p \/sdcard\/screenshot.png')<\/p>\n
    os.system('adb pull \/sdcard\/screenshot.png')<\/p>\n
def process_image(image_path):<\/p>\n
    image = Image.open(image_path)<\/p>\n
    image = np.array(image)<\/p>\n
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)<\/p>\n
    edges = cv2.Canny(gray_image, 50, 150)<\/p>\n
    lines = cv2.HoughLinesP(edges, 1, np.pi\/180, 100, minLineLength=50, maxLineGap=10)<\/p>\n
    for line in lines:<\/p>\n
        x1, y1, x2, y2 = line[0]<\/p>\n
        cv2.line(image, (x1, y1), (x2, y2), (0, 255, 0), 2)<\/p>\n
    return image<\/p>\n
def calculate_distance(x1, y1, x2, y2):<\/p>\n
    return math.sqrt((x2 - x1)<strong>2 + (y2 - y1)<\/strong>2)<\/p>\n
def jump(distance):<\/p>\n
    press_time = int(distance * 1.35)<\/p>\n
    os.system(f'adb shell input swipe 500 1600 500 1600 {press_time}')<\/p>\n
def mAI<\/a>n():<\/p>\n
    while True:<\/p>\n
        get_screenshot()<\/p>\n
        image = process_image('screenshot.png')<\/p>\n
        # \u793a\u4f8b\u5750\u6807<\/p>\n
        x1, y1 = 100, 100  # \u68cb\u5b50\u4f4d\u7f6e<\/p>\n
        x2, y2 = 200, 200  # \u76ee\u6807\u4f4d\u7f6e<\/p>\n
        distance = calculate_distance(x1, y1, x2, y2)<\/p>\n
        jump(distance)<\/p>\n
if __name__ == '__main__':<\/p>\n
    main()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4ee5\u4e0a\u4ee3\u7801\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u5b9e\u9645\u5e94\u7528\u4e2d\u9700\u8981\u6839\u636e\u6e38\u620f\u754c\u9762\u8c03\u6574\u56fe\u50cf\u5904\u7406\u548c\u5750\u6807\u8ba1\u7b97\u903b\u8f91\u3002\u901a\u8fc7\u4e0d\u65ad\u4f18\u5316\u56fe\u50cf\u5904\u7406\u7b97\u6cd5\u548c\u8df3\u8dc3\u8ddd\u79bb\u8ba1\u7b97\uff0c\u53ef\u4ee5\u63d0\u9ad8\u81ea\u52a8\u8df3\u4e00\u8df3\u7684\u51c6\u786e\u6027\u548c\u7a33\u5b9a\u6027\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u6a21\u62df\u201c\u8df3\u4e00\u8df3\u201d\u6e38\u620f\u7684\u73a9\u6cd5\uff1f<\/strong>
\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Python\u7684Pygame\u5e93\u6765\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u201c\u8df3\u4e00\u8df3\u201d\u6e38\u620f\u6a21\u62df\u3002Pygame\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u5f62\u548c\u58f0\u97f3\u5904\u7406\u529f\u80fd\uff0c\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5b9e\u73b0\u89d2\u8272\u8df3\u8dc3\u3001\u5e73\u53f0\u751f\u6210\u548c\u5206\u6570\u8ba1\u7b97\u7b49\u57fa\u672c\u529f\u80fd\u3002\u4f60\u53ef\u4ee5\u4ece\u8bbe\u7f6e\u7a97\u53e3\u5f00\u59cb\uff0c\u9010\u6b65\u6dfb\u52a0\u89d2\u8272\u3001\u5e73\u53f0\u3001\u78b0\u649e\u68c0\u6d4b\u7b49\u5143\u7d20\u3002<\/p>\n
\u5728Python\u4e2d\u5b9e\u73b0\u6e38\u620f\u903b\u8f91\u9700\u8981\u54ea\u4e9b\u5173\u952e\u7ec4\u4ef6\uff1f<\/strong>
\u5b9e\u73b0\u201c\u8df3\u4e00\u8df3\u201d\u6e38\u620f\u7684\u6838\u5fc3\u7ec4\u4ef6\u5305\u62ec\u89d2\u8272\u63a7\u5236\u3001\u5e73\u53f0\u751f\u6210\u3001\u78b0\u649e\u68c0\u6d4b\u548c\u5206\u6570\u7cfb\u7edf\u3002\u89d2\u8272\u63a7\u5236\u53ef\u4ee5\u901a\u8fc7\u952e\u76d8\u8f93\u5165\u6765\u5b9e\u73b0\u8df3\u8dc3\uff0c\u5e73\u53f0\u751f\u6210\u5219\u53ef\u4ee5\u4f7f\u7528\u968f\u673a\u6570\u6765\u751f\u6210\u4e0d\u540c\u9ad8\u5ea6\u548c\u5bbd\u5ea6\u7684\u5e73\u53f0\u3002\u78b0\u649e\u68c0\u6d4b\u9700\u8981\u5224\u65ad\u89d2\u8272\u4e0e\u5e73\u53f0\u7684\u63a5\u89e6\uff0c\u800c\u5206\u6570\u7cfb\u7edf\u5219\u8bb0\u5f55\u73a9\u5bb6\u6210\u529f\u8df3\u8dc3\u7684\u6b21\u6570\u3002<\/p>\n
\u5b66\u4e60\u5982\u4f55\u7528Python\u5236\u4f5c\u6e38\u620f\u7684\u6700\u4f73\u8d44\u6e90\u6709\u54ea\u4e9b\uff1f<\/strong>
\u6709\u8bb8\u591a\u5728\u7ebf\u8d44\u6e90\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5b66\u4e60\u4f7f\u7528Python\u5236\u4f5c\u6e38\u620f\u3002\u63a8\u8350\u7684\u5b66\u4e60\u5e73\u53f0\u5305\u62ecCoursera\u3001Udemy\u548cYouTube\u7b49\uff0c\u8fd9\u4e9b\u5e73\u53f0\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6559\u7a0b\u548c\u9879\u76ee\u5b9e\u4f8b\u3002\u6b64\u5916\uff0cPygame\u7684\u5b98\u65b9\u7f51\u7ad9\u4e5f\u6709\u8be6\u7ec6\u7684\u6587\u6863\u548c\u793a\u4f8b\u4ee3\u7801\uff0c\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5feb\u901f\u4e0a\u624b\u3002\u540c\u65f6\uff0cGitHub\u4e0a\u6709\u8bb8\u591a\u5f00\u6e90\u9879\u76ee\uff0c\u4f9b\u4f60\u53c2\u8003\u548c\u5b66\u4e60\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5982\u4f55\u7528Python\u73a9\u8df3\u4e00\u8df3 \u4f7f\u7528Python\u73a9\u8df3\u4e00\u8df3\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u51c6\u5907\u5f00\u53d1\u73af\u5883\u3001\u901a\u8fc7ADB\u8fde\u63a5\u624b\u673a\u3001\u83b7\u53d6\u6e38\u620f\u622a\u56fe […]","protected":false},"author":3,"featured_media":1036363,"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\/1036354"}],"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=1036354"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1036354\/revisions"}],"predecessor-version":[{"id":1036365,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1036354\/revisions\/1036365"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1036363"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1036354"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1036354"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1036354"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}