{"id":1048993,"date":"2024-12-31T13:55:46","date_gmt":"2024-12-31T05:55:46","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1048993.html"},"modified":"2024-12-31T13:55:50","modified_gmt":"2024-12-31T05:55:50","slug":"%e5%a6%82%e4%bd%95%e4%bd%bf%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\/1048993.html","title":{"rendered":"\u5982\u4f55\u4f7f\u7528python\u73a9\u8df3\u4e00\u8df3"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/fee0d0f3-907a-44d8-88ea-ab6433025f47.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"\u5982\u4f55\u4f7f\u7528python\u73a9\u8df3\u4e00\u8df3\" \/><\/p>\n<p><p> <strong>\u4f7f\u7528Python\u73a9\u8df3\u4e00\u8df3\u7684\u6b65\u9aa4\u5305\u62ec\uff1a\u83b7\u53d6\u5c4f\u5e55\u622a\u56fe\u3001\u8bc6\u522b\u76ee\u6807\u4f4d\u7f6e\u3001\u8ba1\u7b97\u6309\u538b\u65f6\u95f4\u3001\u6a21\u62df\u6309\u538b\u52a8\u4f5c\u3002<\/strong>\u8fd9\u4e9b\u6b65\u9aa4\u53ef\u4ee5\u901a\u8fc7Python\u811a\u672c\u6765\u5b9e\u73b0\uff0c\u5177\u4f53\u5730\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528adb\uff08Android\u8c03\u8bd5\u6865\uff09\u4e0e\u8bbe\u5907\u8fdb\u884c\u4ea4\u4e92\uff0c\u5e76\u7ed3\u5408\u56fe\u50cf\u5904\u7406\u5e93\uff08\u5982OpenCV\uff09\u6765\u5b9e\u73b0\u81ea\u52a8\u5316\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u83b7\u53d6\u5c4f\u5e55\u622a\u56fe<\/h3>\n<\/p>\n<p><p>\u8981\u4f7f\u7528Python\u73a9\u8df3\u4e00\u8df3\uff0c\u9996\u5148\u9700\u8981\u83b7\u53d6\u624b\u673a\u5c4f\u5e55\u7684\u622a\u56fe\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528adb\u547d\u4ee4\u6765\u5b9e\u73b0\u8fd9\u4e00\u64cd\u4f5c\u3002adb\u662fAndroid Debug Bridge\u7684\u7f29\u5199\uff0c\u5b83\u662f\u4e00\u4e2a\u591a\u529f\u80fd\u7684\u547d\u4ee4\u884c\u5de5\u5177\uff0c\u5141\u8bb8\u60a8\u4e0eAndroid\u8bbe\u5907\u8fdb\u884c\u901a\u4fe1\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import os<\/p>\n<p>import subprocess<\/p>\n<p>def get_screenshot():<\/p>\n<p>    os.system(&#39;adb shell screencap -p \/sdcard\/screen.png&#39;)<\/p>\n<p>    os.system(&#39;adb pull \/sdcard\/screen.png .&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u8bc6\u522b\u76ee\u6807\u4f4d\u7f6e<\/h3>\n<\/p>\n<p><p>\u83b7\u53d6\u5c4f\u5e55\u622a\u56fe\u540e\uff0c\u4e0b\u4e00\u6b65\u662f\u8bc6\u522b\u5f53\u524d\u8df3\u4e00\u8df3\u6e38\u620f\u4e2d\u7684\u76ee\u6807\u4f4d\u7f6e\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528OpenCV\u5e93\u6765\u5904\u7406\u56fe\u50cf\uff0c\u627e\u5230\u4eba\u7269\u548c\u76ee\u6807\u7684\u4e2d\u5fc3\u70b9\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import numpy as np<\/p>\n<p>def find_piece_and_board(image):<\/p>\n<p>    img = cv2.imread(image)<\/p>\n<p>    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)<\/p>\n<p>    edges = cv2.Canny(gray, 50, 150, apertureSize=3)<\/p>\n<p>    # \u5047\u8bbe\u8fd9\u4e24\u4e2a\u51fd\u6570\u53ef\u4ee5\u627e\u5230\u4eba\u7269\u548c\u76ee\u6807\u7684\u4f4d\u7f6e<\/p>\n<p>    piece_x, piece_y = find_piece(edges)<\/p>\n<p>    board_x, board_y = find_board(edges)<\/p>\n<p>    return piece_x, piece_y, board_x, board_y<\/p>\n<p>def find_piece(edges):<\/p>\n<p>    # \u5b9e\u73b0\u627e\u5230\u4eba\u7269\u4f4d\u7f6e\u7684\u7b97\u6cd5<\/p>\n<p>    pass<\/p>\n<p>def find_board(edges):<\/p>\n<p>    # \u5b9e\u73b0\u627e\u5230\u76ee\u6807\u4f4d\u7f6e\u7684\u7b97\u6cd5<\/p>\n<p>    pass<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u8ba1\u7b97\u6309\u538b\u65f6\u95f4<\/h3>\n<\/p>\n<p><p>\u6839\u636e\u4eba\u7269\u548c\u76ee\u6807\u7684\u8ddd\u79bb\uff0c\u6211\u4eec\u53ef\u4ee5\u8ba1\u7b97\u51fa\u9700\u8981\u6309\u538b\u7684\u65f6\u95f4\u3002\u901a\u5e38\u6309\u538b\u65f6\u95f4\u4e0e\u8ddd\u79bb\u6210\u6bd4\u4f8b\u5173\u7cfb\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def calculate_distance(piece_x, piece_y, board_x, board_y):<\/p>\n<p>    return ((board_x - piece_x) &lt;strong&gt; 2 + (board_y - piece_y) &lt;\/strong&gt; 2)  0.5<\/p>\n<p>def calculate_press_time(distance):<\/p>\n<p>    # \u8bbe\u5b9a\u4e00\u4e2a\u6bd4\u4f8b\u7cfb\u6570<\/p>\n<p>    coefficient = 1.35<\/p>\n<p>    return distance * coefficient<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u6a21\u62df\u6309\u538b\u52a8\u4f5c<\/h3>\n<\/p>\n<p><p>\u6700\u540e\uff0c\u6211\u4eec\u9700\u8981\u6a21\u62df\u6309\u538b\u52a8\u4f5c\u3002\u53ef\u4ee5\u4f7f\u7528adb\u547d\u4ee4\u6765\u5b9e\u73b0\u6a21\u62df\u6309\u538b\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def jump(distance):<\/p>\n<p>    press_time = calculate_press_time(distance)<\/p>\n<p>    press_time = max(press_time, 200)  # \u6700\u5c0f\u6309\u538b\u65f6\u95f4<\/p>\n<p>    press_time = int(press_time)<\/p>\n<p>    cmd = &#39;adb shell input swipe 500 1600 500 1600 {}&#39;.format(press_time)<\/p>\n<p>    os.system(cmd)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u5c06\u4e0a\u8ff0\u6b65\u9aa4\u6574\u5408\u5728\u4e00\u8d77\uff0c\u5f62\u6210\u4e00\u4e2a\u5b8c\u6574\u7684\u811a\u672c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import os<\/p>\n<p>import cv2<\/p>\n<p>import numpy as np<\/p>\n<p>def get_screenshot():<\/p>\n<p>    os.system(&#39;adb shell screencap -p \/sdcard\/screen.png&#39;)<\/p>\n<p>    os.system(&#39;adb pull \/sdcard\/screen.png .&#39;)<\/p>\n<p>def find_piece_and_board(image):<\/p>\n<p>    img = cv2.imread(image)<\/p>\n<p>    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)<\/p>\n<p>    edges = cv2.Canny(gray, 50, 150, apertureSize=3)<\/p>\n<p>    piece_x, piece_y = find_piece(edges)<\/p>\n<p>    board_x, board_y = find_board(edges)<\/p>\n<p>    return piece_x, piece_y, board_x, board_y<\/p>\n<p>def find_piece(edges):<\/p>\n<p>    # \u5b9e\u73b0\u627e\u5230\u4eba\u7269\u4f4d\u7f6e\u7684\u7b97\u6cd5<\/p>\n<p>    pass<\/p>\n<p>def find_board(edges):<\/p>\n<p>    # \u5b9e\u73b0\u627e\u5230\u76ee\u6807\u4f4d\u7f6e\u7684\u7b97\u6cd5<\/p>\n<p>    pass<\/p>\n<p>def calculate_distance(piece_x, piece_y, board_x, board_y):<\/p>\n<p>    return ((board_x - piece_x) &lt;strong&gt; 2 + (board_y - piece_y) &lt;\/strong&gt; 2)  0.5<\/p>\n<p>def calculate_press_time(distance):<\/p>\n<p>    coefficient = 1.35<\/p>\n<p>    return distance * coefficient<\/p>\n<p>def jump(distance):<\/p>\n<p>    press_time = calculate_press_time(distance)<\/p>\n<p>    press_time = max(press_time, 200)<\/p>\n<p>    press_time = int(press_time)<\/p>\n<p>    cmd = &#39;adb shell input swipe 500 1600 500 1600 {}&#39;.format(press_time)<\/p>\n<p>    os.system(cmd)<\/p>\n<p>def m<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>n():<\/p>\n<p>    while True:<\/p>\n<p>        get_screenshot()<\/p>\n<p>        piece_x, piece_y, board_x, board_y = find_piece_and_board(&#39;screen.png&#39;)<\/p>\n<p>        distance = calculate_distance(piece_x, piece_y, board_x, board_y)<\/p>\n<p>        jump(distance)<\/p>\n<p>        # \u7b49\u5f85\u51e0\u79d2\u949f\u4ee5\u4fbf\u6e38\u620f\u5b8c\u6210\u8df3\u8dc3<\/p>\n<p>        time.sleep(2)<\/p>\n<p>if __name__ == &#39;__main__&#39;:<\/p>\n<p>    main()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u7ec6\u8282\u548c\u4f18\u5316<\/h3>\n<\/p>\n<ol>\n<li>\n<p><strong>\u56fe\u50cf\u8bc6\u522b\u7b97\u6cd5\u7684\u4f18\u5316<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u4f7f\u7528OpenCV\u5e93\u65f6\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u66f4\u591a\u7684\u56fe\u50cf\u5904\u7406\u6280\u672f\uff0c\u5982\u6a21\u677f\u5339\u914d\u3001\u5f62\u6001\u5b66\u64cd\u4f5c\u7b49\u6765\u63d0\u9ad8\u8bc6\u522b\u7684\u51c6\u786e\u6027\u3002<\/li>\n<li>\u5e94\u7528\u989c\u8272\u8fc7\u6ee4\uff0c\u4ee5\u66f4\u51c6\u786e\u5730\u8bc6\u522b\u4eba\u7269\u548c\u76ee\u6807\u7684\u989c\u8272\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\u6309\u538b\u65f6\u95f4\u7684\u8c03\u6574<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u901a\u8fc7\u4e0d\u65ad\u8c03\u6574<code>coefficient<\/code>\u503c\u4ee5\u9002\u5e94\u4e0d\u540c\u7684\u5c4f\u5e55\u5206\u8fa8\u7387\u548c\u8bbe\u5907\u3002<\/li>\n<li>\u4f7f\u7528<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u7b97\u6cd5\uff0c\u6839\u636e\u4e0d\u540c\u7684\u8ddd\u79bb\u8bad\u7ec3\u66f4\u7cbe\u786e\u7684\u6309\u538b\u65f6\u95f4\u9884\u6d4b\u6a21\u578b\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\u81ea\u52a8\u5316\u6d41\u7a0b\u7684\u7a33\u5b9a\u6027<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u5728\u5faa\u73af\u4e2d\u52a0\u5165\u5f02\u5e38\u5904\u7406\uff0c\u907f\u514d\u7a0b\u5e8f\u5728\u8fd0\u884c\u8fc7\u7a0b\u4e2d\u56e0\u610f\u5916\u60c5\u51b5\u4e2d\u65ad\u3002<\/li>\n<li>\u53ef\u4ee5\u52a0\u5165\u65e5\u5fd7\u8bb0\u5f55\uff0c\u65b9\u4fbf\u8c03\u8bd5\u548c\u4f18\u5316\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\u591a\u7ebf\u7a0b\u548c\u5e76\u53d1\u4f18\u5316<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u4f7f\u7528\u591a\u7ebf\u7a0b\u6280\u672f\uff0c\u63d0\u9ad8\u56fe\u50cf\u5904\u7406\u548cadb\u547d\u4ee4\u6267\u884c\u7684\u6548\u7387\uff0c\u4f7f\u5f97\u8df3\u8dc3\u64cd\u4f5c\u66f4\u52a0\u6d41\u7545\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p><h3>\u9ad8\u9636\u73a9\u6cd5<\/h3>\n<\/p>\n<ol>\n<li>\n<p><strong>\u4f7f\u7528\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u8bad\u7ec3\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u6765\u8bc6\u522b\u4eba\u7269\u548c\u76ee\u6807\u7684\u4f4d\u7f6e\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u8bc6\u522b\u7684\u51c6\u786e\u6027\u3002<\/li>\n<li>\u4f7f\u7528\u5982TensorFlow\u6216PyTorch\u5e93\u6765\u5b9e\u73b0\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\u56fe\u50cf\u6807\u6ce8\u5de5\u5177<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u4f7f\u7528\u56fe\u50cf\u6807\u6ce8\u5de5\u5177\uff08\u5982LabelImg\uff09\u624b\u52a8\u6807\u6ce8\u4e00\u4e9b\u8df3\u4e00\u8df3\u6e38\u620f\u622a\u56fe\u4e2d\u7684\u4eba\u7269\u548c\u76ee\u6807\u4f4d\u7f6e\uff0c\u751f\u6210\u6570\u636e\u96c6\u3002<\/li>\n<li>\u4f7f\u7528\u8fd9\u4e9b\u6570\u636e\u96c6\u6765\u8bad\u7ec3\u4e00\u4e2a\u76ee\u6807\u68c0\u6d4b\u6a21\u578b\uff0c\u5982YOLO\u6216Faster R-CNN\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\u4e91\u7aef\u8bad\u7ec3<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u5c06\u6570\u636e\u96c6\u4e0a\u4f20\u5230\u4e91\u7aef\uff08\u5982Google Colab\u6216AWS\uff09\uff0c\u4f7f\u7528\u4e91\u7aef\u8d44\u6e90\u8bad\u7ec3\u6a21\u578b\uff0c\u63d0\u9ad8\u6548\u7387\u3002<\/li>\n<li>\u90e8\u7f72\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5230\u672c\u5730\u8fdb\u884c\u5b9e\u65f6\u8bc6\u522b\u548c\u8df3\u8dc3\u64cd\u4f5c\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u65b9\u6cd5\u548c\u6280\u5de7\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Python\u6709\u6548\u5730\u73a9\u8df3\u4e00\u8df3\uff0c\u5e76\u4e0d\u65ad\u4f18\u5316\u548c\u63d0\u5347\u811a\u672c\u7684\u6027\u80fd\u548c\u51c6\u786e\u6027\u3002\u968f\u7740\u6280\u672f\u7684\u8fdb\u6b65\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u63a2\u7d22\u66f4\u591a\u7684\u81ea\u52a8\u5316\u548c\u667a\u80fd\u5316\u73a9\u6cd5\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u6a21\u62df\u201c\u8df3\u4e00\u8df3\u201d\u6e38\u620f\u7684\u73a9\u6cd5\uff1f<\/strong><br 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