{"id":1163579,"date":"2025-01-15T14:56:49","date_gmt":"2025-01-15T06:56:49","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1163579.html"},"modified":"2025-01-15T14:56:51","modified_gmt":"2025-01-15T06:56:51","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e7%94%bb%e5%83%8f%e7%b4%a0%e4%ba%ba%e7%89%a9","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1163579.html","title":{"rendered":"\u5982\u4f55\u7528python\u753b\u50cf\u7d20\u4eba\u7269"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25204325\/d86b3b5f-4e5d-4511-b8ec-a6f5688301fe.webp\" alt=\"\u5982\u4f55\u7528python\u753b\u50cf\u7d20\u4eba\u7269\" \/><\/p>\n<p><p> <strong>\u8981\u7528 Python \u753b\u50cf\u7d20\u4eba\u7269\uff0c\u9996\u5148\u9700\u8981\u7406\u89e3\u50cf\u7d20\u827a\u672f\u7684\u57fa\u672c\u6982\u5ff5\u3001\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u3001\u521b\u5efa\u7f51\u683c\u3001\u8bbe\u8ba1\u4eba\u7269\u5e76\u6700\u7ec8\u4f18\u5316\u548c\u8f93\u51fa\u56fe\u50cf\u3002<\/strong> \u63a8\u8350\u4f7f\u7528PIL\uff08Python Imaging Library\uff09\u6216\u5176\u5206\u652fPillow\u6765\u5904\u7406\u56fe\u50cf\uff0c\u7ed3\u5408Numpy\u5e93\u6765\u5904\u7406\u56fe\u50cf\u6570\u636e\uff0c\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n<ol>\n<li>\n<p><strong>\u50cf\u7d20\u827a\u672f\u57fa\u7840<\/strong>\uff1a\u50cf\u7d20\u827a\u672f\u662f\u4e00\u79cd\u901a\u8fc7\u5728\u7f51\u683c\u4e0a\u586b\u5145\u5355\u4e2a\u50cf\u7d20\u6765\u521b\u5efa\u56fe\u50cf\u7684\u827a\u672f\u5f62\u5f0f\u3002\u901a\u5e38\uff0c\u6bcf\u4e2a\u50cf\u7d20\u4ee3\u8868\u56fe\u50cf\u4e2d\u7684\u4e00\u4e2a\u989c\u8272\u5757\u3002\u7406\u89e3\u50cf\u7d20\u827a\u672f\u7684\u57fa\u672c\u539f\u7406\u6709\u52a9\u4e8e\u66f4\u597d\u5730\u8bbe\u8ba1\u548c\u5b9e\u73b0\u56fe\u50cf\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u9009\u62e9\u5de5\u5177<\/strong>\uff1a\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u548c\u5e93\u6765\u5904\u7406\u548c\u521b\u5efa\u50cf\u7d20\u56fe\u50cf\u3002Pillow\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u53ef\u4ee5\u7528\u4e8e\u521b\u5efa\u548c\u64cd\u4f5c\u56fe\u50cf\u3002\u6b64\u5916\uff0cNumpy\u53ef\u4ee5\u5e2e\u52a9\u5904\u7406\u56fe\u50cf\u6570\u636e\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u521b\u5efa\u7f51\u683c<\/strong>\uff1a\u50cf\u7d20\u56fe\u50cf\u901a\u5e38\u662f\u4ee5\u7f51\u683c\u5f62\u5f0f\u5b58\u5728\u7684\uff0c\u6bcf\u4e2a\u65b9\u683c\u4ee3\u8868\u4e00\u4e2a\u50cf\u7d20\u3002\u4f60\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u7f51\u683c\u5e76\u5b9a\u4e49\u6bcf\u4e2a\u50cf\u7d20\u7684\u989c\u8272\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n<p><h3>\u4e00\u3001\u5b89\u88c5\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Pillow\u548cNumpy\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pillow numpy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u521b\u5efa\u50cf\u7d20\u7f51\u683c<\/h3>\n<\/p>\n<p><p>\u521b\u5efa\u4e00\u4e2a\u50cf\u7d20\u7f51\u683c\uff0c\u5e76\u5b9a\u4e49\u6bcf\u4e2a\u50cf\u7d20\u7684\u989c\u8272\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff0c\u6f14\u793a\u5982\u4f55\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u50cf\u7d20\u4eba\u7269\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u5b9a\u4e49\u50cf\u7d20\u56fe\u50cf\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6<\/strong><\/h2>\n<p>width, height = 16, 16<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7a7a\u7684RGB\u56fe\u50cf<\/strong><\/h2>\n<p>image = Image.new(&#39;RGB&#39;, (width, height))<\/p>\n<h2><strong>\u5b9a\u4e49\u50cf\u7d20\u989c\u8272\u6570\u636e<\/strong><\/h2>\n<p>pixels = np.array([<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]<\/p>\n<p>], dtype=np.uint8)<\/p>\n<h2><strong>\u8f6c\u6362\u4e3aRGB\u56fe\u50cf\u6570\u636e<\/strong><\/h2>\n<p>color_map = {<\/p>\n<p>    0: (255, 255, 255),  # \u767d\u8272<\/p>\n<p>    1: (0, 0, 0),        # \u9ed1\u8272<\/p>\n<p>    2: (255, 0, 0),      # \u7ea2\u8272<\/p>\n<p>    3: (0, 255, 0),      # \u7eff\u8272<\/p>\n<p>    4: (0, 0, 255),      # \u84dd\u8272<\/p>\n<p>    # \u6dfb\u52a0\u66f4\u591a\u989c\u8272<\/p>\n<p>}<\/p>\n<h2><strong>\u5c06\u989c\u8272\u6620\u5c04\u5230\u56fe\u50cf\u50cf\u7d20<\/strong><\/h2>\n<p>for y in range(height):<\/p>\n<p>    for x in range(width):<\/p>\n<p>        color = color_map[pixels[y, x]]<\/p>\n<p>        image.putpixel((x, y), color)<\/p>\n<h2><strong>\u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n<p>image.save(&#39;pixel_art.png&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u8bbe\u8ba1\u50cf\u7d20\u4eba\u7269<\/h3>\n<\/p>\n<p><p>\u8bbe\u8ba1\u50cf\u7d20\u4eba\u7269\u662f\u4e00\u4e2a\u521b\u9020\u6027\u7684\u8fc7\u7a0b\uff0c\u901a\u5e38\u9700\u8981\u4e00\u4e9b\u827a\u672f\u6280\u5de7\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u50cf\u7d20\u827a\u672f\u7f16\u8f91\u5668\uff08\u4f8b\u5982Aseprite\u6216Piskel\uff09\u6765\u8bbe\u8ba1\u4eba\u7269\uff0c\u7136\u540e\u5c06\u5176\u8f6c\u6362\u4e3aPython\u4ee3\u7801\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4eba\u7269\u8bbe\u8ba1\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">pixels = np.array([<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],<\/p>\n<p>    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]<\/p>\n<p>], dtype=np.uint8)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u4f18\u5316\u548c\u8f93\u51fa\u56fe\u50cf<\/h3>\n<\/p>\n<p><p>\u5728\u8bbe\u8ba1\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u989c\u8272\u3001\u6dfb\u52a0\u7ec6\u8282\u548c\u4f18\u5316\u56fe\u50cf\u6765\u4f7f\u50cf\u7d20\u4eba\u7269\u66f4\u5177\u5438\u5f15\u529b\u3002\u6700\u540e\uff0c\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3a\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4fdd\u5b58\u56fe\u50cf<\/p>\n<p>image.save(&#39;pixel_art_person.png&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u66f4\u591a\u590d\u6742\u7684\u8bbe\u8ba1\u548c\u4f18\u5316<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u60f3\u8981\u521b\u5efa\u66f4\u590d\u6742\u7684\u8bbe\u8ba1\uff0c\u53ef\u4ee5\u8003\u8651\u4ee5\u4e0b\u51e0\u70b9\uff1a<\/p>\n<\/p>\n<ol>\n<li><strong>\u589e\u52a0\u989c\u8272<\/strong>\uff1a\u4f7f\u7528\u66f4\u591a\u7684\u989c\u8272\u6765\u589e\u52a0\u56fe\u50cf\u7684\u7ec6\u8282\u548c\u5c42\u6b21\u611f\u3002<\/li>\n<li><strong>\u4f7f\u7528\u9634\u5f71\u548c\u9ad8\u5149<\/strong>\uff1a\u901a\u8fc7\u6dfb\u52a0\u9634\u5f71\u548c\u9ad8\u5149\u6765\u589e\u5f3a\u56fe\u50cf\u7684\u6df1\u5ea6\u548c\u7acb\u4f53\u611f\u3002<\/li>\n<li><strong>\u52a8\u753b<\/strong>\uff1a\u4f7f\u7528\u591a\u5e27\u56fe\u50cf\u6765\u521b\u5efa\u7b80\u5355\u7684\u52a8\u753b\u6548\u679c\u3002<\/li>\n<\/ol>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u66f4\u590d\u6742\u7684\u4f8b\u5b50\uff0c\u6f14\u793a\u5982\u4f55\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u52a8\u753b\u4eba\u7269\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image, ImageDraw<\/p>\n<p>def create_frame(color, width, height):<\/p>\n<p>    frame = Image.new(&#39;RGB&#39;, (width, height), color)<\/p>\n<p>    draw = ImageDraw.Draw(frame)<\/p>\n<p>    draw.rectangle([4, 4, 12, 12], fill=(0, 0, 0))<\/p>\n<p>    return frame<\/p>\n<p>width, height = 16, 16<\/p>\n<p>frames = []<\/p>\n<h2><strong>\u521b\u5efa\u4e0d\u540c\u989c\u8272\u7684\u5e27<\/strong><\/h2>\n<p>for i in range(10):<\/p>\n<p>    color = (255, 255 - i * 25, 255 - i * 25)<\/p>\n<p>    frame = create_frame(color, width, height)<\/p>\n<p>    frames.append(frame)<\/p>\n<h2><strong>\u4fdd\u5b58\u52a8\u753b<\/strong><\/h2>\n<p>frames[0].save(&#39;pixel_art_animation.gif&#39;, save_all=True, append_images=frames[1:], duration=100, loop=0)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u4f60\u53ef\u4ee5\u7528Python\u521b\u5efa\u548c\u4f18\u5316\u50cf\u7d20\u4eba\u7269\u3002\u50cf\u7d20\u827a\u672f\u662f\u4e00\u79cd\u975e\u5e38\u6709\u8da3\u4e14\u5177\u6709\u6311\u6218\u6027\u7684\u827a\u672f\u5f62\u5f0f\uff0c\u901a\u8fc7Python\u7684\u5f3a\u5927\u529f\u80fd\uff0c\u53ef\u4ee5\u66f4\u8f7b\u677e\u5730\u521b\u5efa\u548c\u7ba1\u7406\u50cf\u7d20\u56fe\u50cf\u3002\u5e0c\u671b\u8fd9\u4e9b\u6b65\u9aa4\u548c\u793a\u4f8b\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528Python\u6765\u521b\u9020\u50cf\u7d20\u827a\u672f\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u7528Python\u521b\u5efa\u50cf\u7d20\u827a\u672f\u4f5c\u54c1\uff1f<\/strong><br \/>\u521b\u5efa\u50cf\u7d20\u827a\u672f\u4f5c\u54c1\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u5305\u62ec\u4f7f\u7528\u56fe\u50cf\u5904\u7406\u5e93\u548c\u7ed8\u56fe\u5e93\u3002\u5e38\u89c1\u7684\u5e93\u6709PIL\uff08Pillow\uff09\u548cPygame\u3002\u53ef\u4ee5\u4f7f\u7528\u8fd9\u4e9b\u5e93\u6765\u52a0\u8f7d\u56fe\u50cf\u3001\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u3001\u4fee\u6539\u989c\u8272\u548c\u6dfb\u52a0\u50cf\u7d20\u6548\u679c\u3002\u5bf9\u4e8e\u65b0\u624b\uff0c\u53ef\u4ee5\u8003\u8651\u4ece\u7b80\u5355\u7684\u56fe\u5f62\u5f00\u59cb\uff0c\u9010\u6e10\u5c1d\u8bd5\u66f4\u590d\u6742\u7684\u8bbe\u8ba1\u3002<\/p>\n<p><strong>\u4f7f\u7528Python\u5236\u4f5c\u50cf\u7d20\u4eba\u7269\u9700\u8981\u54ea\u4e9b\u5e93\uff1f<\/strong><br \/>\u5236\u4f5c\u50cf\u7d20\u4eba\u7269\u65f6\uff0c\u63a8\u8350\u4f7f\u7528Pillow\u5e93\u8fdb\u884c\u56fe\u50cf\u5904\u7406\uff0c\u56e0\u5176\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u64cd\u4f5c\u529f\u80fd\u3002\u6b64\u5916\uff0cPygame\u9002\u5408\u521b\u5efa\u66f4\u52a8\u6001\u7684\u50cf\u7d20\u827a\u672f\uff0c\u53ef\u4ee5\u7528\u4e8e\u6e38\u620f\u5f00\u53d1\u3002\u5176\u4ed6\u53ef\u9009\u5e93\u5305\u62ecOpenCV\uff0c\u9002\u5408\u66f4\u9ad8\u7ea7\u7684\u56fe\u50cf\u5904\u7406\u9700\u6c42\u3002\u9009\u62e9\u5408\u9002\u7684\u5e93\u53ef\u4ee5\u63d0\u9ad8\u521b\u4f5c\u6548\u7387\u3002<\/p>\n<p><strong>\u6709\u6ca1\u6709Python\u6559\u7a0b\u9002\u5408\u521d\u5b66\u8005\u4e86\u89e3\u50cf\u7d20\u827a\u672f\u521b\u4f5c\uff1f<\/strong><br 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