{"id":173,"date":"2026-04-20T06:55:56","date_gmt":"2026-04-19T22:55:56","guid":{"rendered":"http:\/\/101.201.62.154\/demotree\/?p=173"},"modified":"2026-04-20T07:47:30","modified_gmt":"2026-04-19T23:47:30","slug":"%e5%8f%98%e9%a2%91%e5%8f%af%e8%a7%81%e5%85%89%e9%80%9a%e4%bf%a1%e6%a8%a1%e6%8b%9f%e7%b3%bb%e7%bb%9f%e4%bd%bf%e7%94%a8%e8%af%b4%e6%98%8e","status":"publish","type":"post","link":"http:\/\/101.201.62.154\/demotree\/?p=173","title":{"rendered":"\uff08\u6b64\u7248\u672c\u4e3a\u4f4e\u901f\u5f00\u6e90\u7248\uff09\u53d8\u9891\u53ef\u89c1\u5149\u901a\u4fe1\u6a21\u62df\u7cfb\u7edf\u4f7f\u7528\u8bf4\u660e"},"content":{"rendered":"<h1><\/h1>\n<p>\u672c\u9879\u76ee\u5728 Windows \u4e0a\u4f7f\u7528 Python \u5b9e\u73b0\u4e00\u4e2a\u53ef\u89c1\u5149\u6570\u636e\u901a\u4fe1\u6a21\u62df\u7cfb\u7edf\uff0c\u5305\u542b\u53d1\u5c04\u7aef\u3001\u63a5\u6536\u7aef\u3001\u672c\u673a TCP \u6821\u51c6\u6d41\u7a0b\u3001\u9ed8\u8ba4\u6d4b\u8bd5\u7d20\u6750\u3001\u672c\u5730\u7f51\u9875\u754c\u9762\u548c\u684c\u9762 GUI\u3002\u53d1\u5c04\u7aef\u53ef\u4ee5\u914d\u7f6e\u4e3a\u8584\u819c PPLN \u6ce2\u5bfc\u6fc0\u5149\u53d8\u9891\u5668\u6216\u8005\u666e\u901a\u8c03\u8272 RGB LED\uff0c\u63a5\u6536\u7aef\u4f7f\u7528\u5e38\u89c4\u5de5\u4e1a\u76f8\u673a\u53c2\u6570\u8fdb\u884c\u6a21\u62df\uff0c\u5e76\u652f\u6301\u81ea\u52a8\u5bfb\u627e\u53d1\u5c04\u5149\u6591\u3001\u80cc\u666f\u53bb\u9664\u3001\u5b57\u7b26\u4e32\u8fd8\u539f\u4ee5\u53ca\u6587\u4ef6\u6062\u590d\u3002<\/p>\n<h2>\u7248\u672c\u8bf4\u660e<\/h2>\n<ul>\n<li><code>v1<\/code>\uff1a\u4fdd\u7559\u539f\u6709\u5b8c\u6574\u53ef\u9760\u901a\u4fe1\u94fe\u8def\uff0c\u5bf9\u5e94\u5165\u53e3\u4e3a <code>app.py<\/code>\u3001<code>desktop_app.py<\/code>\u3001<code>one_click_test.ps1<\/code>\u3001<code>one_click_test.bat<\/code>\uff0c\u6838\u5fc3\u5b9e\u73b0\u4f4d\u4e8e <code>vlc_sim\/<\/code>\u3002<\/li>\n<li><code>v2<\/code>\uff1a\u65b0\u589e\u7684\u5feb\u901f\u6587\u672c\u901a\u4fe1\u94fe\u8def\uff0c\u5bf9\u5e94\u5165\u53e3\u4e3a <code>app_v2.py<\/code>\u3001<code>desktop_app_v2.py<\/code>\u3001<code>one_click_test_v2.ps1<\/code>\u3001<code>one_click_test_v2.bat<\/code>\uff0c\u6838\u5fc3\u5b9e\u73b0\u4f4d\u4e8e <code>vlc_fast\/<\/code>\u3002<\/li>\n<li><code>v1<\/code> \u4e0e <code>v2<\/code> \u5e76\u884c\u5b58\u5728\uff0c\u4e92\u4e0d\u66ff\u6362\u3002\u9700\u8981\u7a33\u5b9a\u6587\u4ef6\u4f20\u8f93\u3001\u538b\u7f29\u3001CRC\u3001Reed-Solomon \u4e0e bundle \u65f6\u4f7f\u7528 <code>v1<\/code>\uff1b\u9700\u8981\u66f4\u5feb\u7684\u6587\u672c\u804a\u5929\u6f14\u793a\u65f6\u4f7f\u7528 <code>v2<\/code>\u3002<\/li>\n<\/ul>\n<h2>v2 \u5feb\u901f\u6a21\u5f0f\u6982\u89c8<\/h2>\n<p><code>v2<\/code> \u9762\u5411\u201c\u5c3d\u91cf\u5feb\u3001\u5c3d\u91cf\u5b9e\u65f6\u201d\u7684\u6587\u672c\u901a\u4fe1\u573a\u666f\uff0c\u548c <code>v1<\/code> \u7684\u8bbe\u8ba1\u76ee\u6807\u4e0d\u540c\uff1a<\/p>\n<ul>\n<li>\u53bb\u6389 CRC\u3001Reed-Solomon \u548c\u65f6\u95f4\u7801\u8054\u5408\u8c03\u5236\uff0c\u53ea\u4f7f\u7528 RGB \u989c\u8272\u548c\u4eae\u5ea6\u627f\u8f7d\u7b26\u53f7\u3002<\/li>\n<li>\u4f7f\u7528 <code>4<\/code> \u79cd\u989c\u8272\u548c <code>4<\/code> \u6863\u4eae\u5ea6\uff0c\u5171 <code>16<\/code> \u4e2a\u72b6\u6001\uff0c\u5373\u6bcf\u7b26\u53f7 <code>4 bit<\/code>\u3002<\/li>\n<li>\u5728\u901a\u4fe1\u524d\u6839\u636e\u80cc\u666f\u4eae\u5ea6\u3001\u8fd0\u52a8\u5f3a\u5ea6\u548c\u63a5\u6536\u5e27\u7387\u81ea\u9002\u5e94\u9009\u62e9\u91cd\u590d\u5e27\u6570\u4e0e\u6709\u6548\u7b26\u53f7\u7387\u3002<\/li>\n<li>\u6839\u636e\u63a5\u6536\u5e27\u7387\u81ea\u52a8\u5207\u6362\u4e0d\u540c\u6863\u4f4d\u7b56\u7565\uff0c\u5f53\u524d\u5df2\u5305\u542b <code>standard_30fps<\/code>\u3001<code>balanced_45fps<\/code>\u3001<code>high_fps_60fps<\/code>\u3001<code>ultra_90fps<\/code> \u56db\u7c7b\u9002\u914d\u6863\u4f4d\u3002<\/li>\n<li>\u63a5\u6536\u7aef\u652f\u6301\u81ea\u52a8\u5149\u6591\u641c\u7d22\u3001\u81ea\u9002\u5e94\u80cc\u666f\u6291\u5236\u3001\u81ea\u52a8\u901f\u7387\u5339\u914d\u548c\u53ef\u9009 GPU \/ ONNX \u8def\u5f84\u3002<\/li>\n<li>\u5bf9\u771f\u5b9e\u89c6\u9891\u8def\u5f84\uff0c\u63a5\u6536\u7aef\u4f1a\u81ea\u52a8\u8bc4\u4f30\u591a\u4e2a\u5019\u9009\u5149\u6591\u4e2d\u5fc3\u5e76\u9009\u62e9\u5f97\u5206\u6700\u9ad8\u7684\u8def\u5f84\uff1b\u5bf9\u6a21\u62df\u5668\u89c6\u9891\u5219\u4f1a\u5207\u5230 sidecar \u5f15\u5bfc\u7684\u4f4e\u6270\u52a8\u89e3\u7801\u6a21\u5f0f\u3002<\/li>\n<li>\u5bf9\u6a21\u62df\u5668\u81ea\u5df1\u751f\u6210\u7684 <code>mp4<\/code>\uff0c\u82e5\u5b58\u5728\u540c\u540d <code>mp4.json<\/code> sidecar\uff0c\u4f1a\u81ea\u52a8\u4f7f\u7528\u5176\u4e2d\u7684\u53d1\u5c04\u4f4d\u7f6e\u548c\u91cd\u590d\u5e27\u5148\u9a8c\uff0c\u907f\u514d\u7a33\u50cf\u548c\u8ddf\u8e2a\u5f15\u5165\u989d\u5916\u6f02\u79fb\u3002<\/li>\n<li><code>v2<\/code> CLI\u3001Gradio \u548c\u684c\u9762 GUI \u73b0\u5728\u90fd\u63d0\u4f9b\u72ec\u7acb\u7684\u72b6\u6001\u9762\u677f\uff0c\u76f4\u63a5\u663e\u793a\u5f53\u524d\u94fe\u8def\u6863\u4f4d\u3001\u63a5\u6536\u6a21\u5f0f\u3001\u68c0\u6d4b\u4e2d\u5fc3\u3001\u91cd\u590d\u5e27\u548c\u7f6e\u4fe1\u5ea6\u3002<\/li>\n<\/ul>\n<h3>v2 \u6a21\u5f0f\u5207\u6362<\/h3>\n<p><code>v2<\/code> \u73b0\u5728\u63d0\u4f9b\u663e\u5f0f <code>link_mode<\/code>\uff0c\u53ef\u5728 CLI\u3001Gradio \u548c\u684c\u9762 GUI \u4e2d\u5207\u6362\uff1a<\/p>\n<ul>\n<li><code>short_chat<\/code>\uff1a\u9ed8\u8ba4\u6a21\u5f0f\uff0c\u9002\u5408\u77ed\u6587\u672c\u548c\u66f4\u5feb\u7684\u6f14\u793a\u8def\u5f84\uff0c<code>header_repeats<\/code> \u4e0e <code>payload_symbol_repeats<\/code> \u6700\u4f4e\u3002<\/li>\n<li><code>long_text<\/code>\uff1a\u4e3a\u8f83\u957f\u6587\u672c\u589e\u52a0\u5197\u4f59\uff0c\u81ea\u52a8\u63d0\u9ad8\u5934\u90e8\u91cd\u590d\u548c payload \u91cd\u590d\u6b21\u6570\uff0c\u5e76\u504f\u5411\u66f4\u7a33\u7684 <code>repeat_frames<\/code>\u3002<\/li>\n<li><code>real_camera<\/code>\uff1a\u9762\u5411\u771f\u5b9e\u6444\u50cf\u5934\u6216 sidecar \u88ab\u79fb\u9664\u7684\u89c6\u9891\u56de\u5f52\uff0c\u91c7\u7528\u66f4\u4fdd\u5b88\u7684\u9891\u7387\/\u91cd\u590d\u5e27\u7b56\u7565\uff0c\u5e76\u9ed8\u8ba4\u542f\u7528\u591a\u5019\u9009\u4e2d\u5fc3\u641c\u7d22\u3002<\/li>\n<\/ul>\n<p>\u8fd9\u4e09\u79cd\u6a21\u5f0f\u4f1a\u76f4\u63a5\u5f71\u54cd\uff1a<\/p>\n<ul>\n<li>\u6821\u51c6\u9636\u6bb5\u9009\u62e9\u7684 <code>minimum_repeat_frames<\/code><\/li>\n<li>\u5934\u90e8\u91cd\u590d\u6b21\u6570 <code>header_repeats<\/code><\/li>\n<li>\u8f7d\u8377\u91cd\u590d\u6b21\u6570 <code>payload_symbol_repeats<\/code><\/li>\n<li>\u72b6\u6001\u9762\u677f\u4e2d\u7684 <code>effective_payload_bps<\/code><\/li>\n<\/ul>\n<p>\u5f53\u524d\u9ed8\u8ba4 <code>v2<\/code> \u6f14\u793a\u80cc\u666f\u4e3a <code>test3.mp4<\/code>\uff0c\u9ed8\u8ba4\u6295\u5c04\u4f4d\u7f6e\u4e3a <code>x=1000, y=300<\/code>\u3002<\/p>\n<h2>\u529f\u80fd\u6982\u89c8<\/h2>\n<ul>\n<li>\u53d1\u5c04\u7aef\u8f93\u5165\u5b57\u7b26\u4e32\u540e\uff0c\u5148\u7ecf\u8fc7\u538b\u7f29\u548c\u524d\u5411\u7ea0\u9519\uff0c\u518d\u6620\u5c04\u5230\u989c\u8272\u3001\u4eae\u5ea6\u548c\u65f6\u95f4\u9891\u7387\u8054\u5408\u8c03\u5236\u7684\u53ef\u89c1\u5149\u5e8f\u5217\u3002<\/li>\n<li>\u53d1\u5c04\u7aef\u652f\u6301\u6587\u672c\u6d88\u606f\u548c\u4efb\u610f\u6587\u4ef6\u8f93\u5165\uff0c\u6587\u4ef6\u5728\u53d1\u9001\u524d\u4f1a\u6309\u56fa\u5b9a\u5927\u5c0f\u5206\u7247\uff0c\u5e76\u5728\u63a5\u6536\u7aef\u81ea\u52a8\u91cd\u7ec4\u6062\u590d\u3002<\/li>\n<li>\u5bf9\u4e8e\u8f83\u957f\u6587\u4ef6\uff0c\u53d1\u5c04\u7aef\u652f\u6301\u6309\u65f6\u957f\u4e0a\u9650\u81ea\u52a8\u62c6\u5206\u4e3a\u591a\u6bb5\u89c6\u9891 bundle\uff0c\u5e76\u5728\u63a5\u6536\u7aef\u6309\u6e05\u5355\u987a\u5e8f\u81ea\u52a8\u6062\u590d\u3002<\/li>\n<li>\u53d1\u5c04\u7aef\u5c06\u53ef\u89c1\u5149\u5e8f\u5217\u4ee5\u903c\u771f\u7684\u65b9\u5f0f\u6e32\u67d3\u5230\u4efb\u610f\u56fa\u5b9a\u673a\u4f4d\u80cc\u666f\u89c6\u9891\u4e0a\uff0c\u9ed8\u8ba4\u80cc\u666f\u662f\u5f53\u524d\u76ee\u5f55\u7684 <code>test1.mp4<\/code>\u3002<\/li>\n<li>\u63a5\u6536\u7aef\u5bf9\u89c6\u9891\u9010\u5e27\u5206\u6790\uff0c\u81ea\u52a8\u5bfb\u627e\u53d1\u5c04\u4f4d\u7f6e\uff0c\u5e76\u63d0\u4f9b\u7a33\u50cf\u3001\u5149\u6d41\u8ddf\u8e2a\u3001\u7ecf\u5178\u5206\u5272\u548c\u53ef\u9009 ONNX AI \u5206\u5272\u589e\u5f3a\u6a21\u5f0f\uff1b\u9ed8\u8ba4\u8d70\u8f7b\u91cf\u8def\u5f84\uff0c\u6700\u7ec8\u8fd8\u539f\u51fa\u539f\u59cb\u5b57\u7b26\u4e32\u6216\u6587\u4ef6\u3002<\/li>\n<li>\u53d1\u5c04\u7aef\u548c\u63a5\u6536\u7aef\u5728\u53d1\u9001\u524d\u901a\u8fc7 127.0.0.1 \u4e0a\u7684 TCP \u6821\u51c6\u6d41\u7a0b\u534f\u5546\u94fe\u8def\u53c2\u6570\uff0c\u9009\u62e9\u541e\u5410\u91cf\u548c\u7a33\u5065\u6027\u4e4b\u95f4\u6700\u4f18\u7684\u914d\u7f6e\u3002<\/li>\n<li>\u63d0\u4f9b Gradio \u672c\u5730\u7f51\u9875\u754c\u9762\u3001Tkinter \u684c\u9762 GUI \u548c\u547d\u4ee4\u884c\u5165\u53e3\uff0c\u65b9\u4fbf\u6d4b\u8bd5\u4e0e\u6f14\u793a\u3002\u684c\u9762 GUI \u73b0\u5df2\u652f\u6301\u8fdb\u5ea6\u6761\u3001\u53d6\u6d88\u4efb\u52a1\u548c\u9996\u5e27\u9884\u89c8\u3002<\/li>\n<li>\u684c\u9762 GUI \u8fd8\u652f\u6301\u76f4\u63a5\u6253\u5f00\u6700\u65b0\u8f93\u51fa\u6587\u4ef6\u6216\u6240\u5728\u76ee\u5f55\uff0c\u5e76\u663e\u793a\u66f4\u6e05\u6670\u7684\u9636\u6bb5\u65e5\u5fd7\uff0c\u65b9\u4fbf\u672c\u673a\u901a\u4fe1\u8054\u8c03\u3002<\/li>\n<\/ul>\n<h2>\u5149\u6e90\u6a21\u578b\u4e0e\u5e38\u89c1\u9891\u7387\u8303\u56f4<\/h2>\n<h3>1. \u8584\u819c PPLN \u6ce2\u5bfc\u6fc0\u5149\u53d8\u9891\u5668<\/h3>\n<ul>\n<li>\u6a21\u62df\u53ef\u89c1\u8f93\u51fa\u8303\u56f4\uff1a\u7ea6 430 nm \u5230 680 nm\u3002<\/li>\n<li>\u5de5\u7a0b\u4e0a\u5e38\u89c1\u7684\u5916\u90e8\u7535\u9a71\u8c03\u5236\u91cf\u7ea7\u53ef\u4ee5\u8fbe\u5230\u7ea6 1 kHz \u5230 100 kHz\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u6fc0\u5149\u5668\u3001\u9a71\u52a8\u5668\u548c\u8c03\u5236\u94fe\u8def\u3002<\/li>\n<li>\u672c\u9879\u76ee\u4e2d\u7684\u89c6\u9891\u6a21\u62df\u53d7\u9650\u4e8e\u76f8\u673a\u5e27\u7387\uff0c\u56e0\u6b64\u771f\u6b63\u8fdb\u5165\u89c6\u9891\u89e3\u8c03\u7684\u6709\u6548\u8c03\u5236\u9891\u7387\u88ab\u6620\u5c04\u4e3a\u4f4e\u9891\u79bb\u6563\u65f6\u95f4\u7801\uff0c\u4fdd\u8bc1\u666e\u901a\u5de5\u4e1a\u76f8\u673a\u53ef\u4ee5\u89c2\u6d4b\u5230\u3002<\/li>\n<\/ul>\n<h3>2. \u666e\u901a\u8c03\u8272 RGB LED<\/h3>\n<ul>\n<li>\u6a21\u62df\u53ef\u89c1\u8f93\u51fa\u8303\u56f4\uff1a\u7ea6 450 nm \u5230 650 nm\u3002<\/li>\n<li>\u5e38\u89c1\u5355\u7247\u673a PWM \u8c03\u5149\u9891\u7387\u901a\u5e38\u5728\u7ea6 500 Hz \u5230 20 kHz\uff0c\u53d6\u51b3\u4e8e MCU \u5b9a\u65f6\u5668\u3001\u9a71\u52a8\u7ba1\u548c\u4eae\u5ea6\u8981\u6c42\u3002<\/li>\n<li>\u672c\u9879\u76ee\u540c\u6837\u628a\u9ad8\u9891\u786c\u4ef6\u8c03\u5236\u6298\u7b97\u6210\u76f8\u673a\u53ef\u89c2\u6d4b\u7684\u79bb\u6563\u65f6\u95f4\u4eae\u5ea6\u53d8\u5316\uff0c\u7528\u4e8e\u751f\u6210\u548c\u8fd8\u539f\u89c6\u9891\u4e2d\u7684\u53d1\u5149\u8f68\u8ff9\u3002<\/li>\n<\/ul>\n<h2>\u7b97\u6cd5\u8bbe\u8ba1<\/h2>\n<h3>1. \u6821\u51c6\u4e0e\u5339\u914d<\/h3>\n<p>\u53d1\u5c04\u7aef\u548c\u63a5\u6536\u7aef\u5148\u901a\u8fc7\u672c\u673a TCP \u8fdb\u884c\u6821\u51c6\u3002\u63a5\u6536\u7aef\u6839\u636e\u76f8\u673a\u5e27\u7387\u3001\u566a\u58f0\u548c\u6a21\u7cca\u53c2\u6570\uff0c\u5bf9\u82e5\u5e72\u5019\u9009\u94fe\u8def\u914d\u7f6e\u6253\u5206\uff0c\u8fd4\u56de\u6700\u4f18\u914d\u7f6e\u3002\u5f53\u524d\u5019\u9009\u96c6\u5408\u4e3b\u8981\u8c03\u6574\u5982\u4e0b\u53c2\u6570\uff1a<\/p>\n<ul>\n<li>\u6bcf\u4e2a\u7b26\u53f7\u5360\u7528\u591a\u5c11\u5e27\u3002<\/li>\n<li>\u53ef\u7528\u7684\u65f6\u95f4\u7801\u96c6\u5408\u3002<\/li>\n<li>\u56fa\u5b9a\u7684\u5f3a\u5ea6\u7b49\u7ea7\u548c Reed-Solomon \u7ea0\u9519\u5f3a\u5ea6\u3002<\/li>\n<\/ul>\n<p>\u8bc4\u5206\u51fd\u6570\u4f18\u5148\u4fdd\u8bc1\u4ee5\u4e0b\u6761\u4ef6\uff1a<\/p>\n<ul>\n<li>\u65f6\u95f4\u7801\u6700\u9ad8\u9891\u7387\u4f4e\u4e8e\u63a5\u6536\u7aef Nyquist \u5b89\u5168\u8fb9\u754c\u3002<\/li>\n<li>\u4e0d\u8d85\u8fc7\u53d1\u5c04\u6e90\u5e38\u89c1\u786c\u4ef6\u8c03\u5236\u80fd\u529b\u3002<\/li>\n<li>\u5728\u6ee1\u8db3\u7a33\u5065\u6027\u7684\u524d\u63d0\u4e0b\u4f18\u5148\u66f4\u9ad8\u541e\u5410\u91cf\u3002<\/li>\n<\/ul>\n<h3>2. \u6570\u636e\u538b\u7f29\u4e0e\u7ea0\u9519<\/h3>\n<p>\u6587\u672c\u6216\u6587\u4ef6\u53d1\u9001\u524d\u6267\u884c\u4ee5\u4e0b\u5904\u7406\uff1a<\/p>\n<ol>\n<li>\u4f7f\u7528 UTF-8 \u7f16\u7801\u3002<\/li>\n<li>\u4f7f\u7528 zlib \u8fdb\u884c\u65e0\u635f\u538b\u7f29\u3002<\/li>\n<li>\u8ffd\u52a0 CRC32 \u6821\u9a8c\u3002<\/li>\n<li>\u4f7f\u7528 Reed-Solomon \u8fdb\u884c\u524d\u5411\u7ea0\u9519\u3002<\/li>\n<\/ol>\n<p>\u8fd9\u6837\u53ef\u4ee5\u5728\u89e3\u7801\u7aef\u5bf9\u4e00\u5b9a\u6570\u91cf\u7684\u7b26\u53f7\u8bef\u5dee\u8fdb\u884c\u6062\u590d\uff0c\u540c\u65f6\u7528 CRC \u9632\u6b62\u9519\u8bef\u5185\u5bb9\u88ab\u8bef\u5224\u4e3a\u6210\u529f\u89e3\u7801\u3002\u6587\u4ef6\u8d1f\u8f7d\u4f1a\u989d\u5916\u9644\u5e26\u6587\u4ef6\u540d\u3001\u5a92\u4f53\u7c7b\u578b\u3001\u5206\u7247\u5927\u5c0f\u3001\u5206\u7247\u603b\u6570\u548c SHA256 \u6821\u9a8c\u3002<\/p>\n<h3>3. \u8054\u5408\u8c03\u5236<\/h3>\n<p>\u4e00\u4e2a\u53d1\u5149\u7b26\u53f7\u7531\u4e09\u90e8\u5206\u5171\u540c\u627f\u8f7d\u4fe1\u606f\uff1a<\/p>\n<ul>\n<li>\u989c\u8272\u7ef4\u5ea6\uff1a4 \u4e2a\u9ad8\u533a\u5206\u5ea6\u989c\u8272\u7d22\u5f15\u3002<\/li>\n<li>\u4eae\u5ea6\u7ef4\u5ea6\uff1a2 \u4e2a\u5f3a\u5ea6\u7b49\u7ea7\u3002<\/li>\n<li>\u65f6\u95f4\u7ef4\u5ea6\uff1a4 \u4e2a\u65f6\u95f4\u7801\uff0c\u5185\u90e8\u7531\u9891\u7387\u548c\u76f8\u4f4d\u7ec4\u5408\u5f62\u6210\u3002<\/li>\n<\/ul>\n<p>\u56e0\u6b64\u4e00\u4e2a\u7b26\u53f7\u643a\u5e26 5 bit \u4fe1\u606f\u3002\u65f6\u95f4\u7801\u4f7f\u7528\u7a97\u53e3\u5185\u7684\u79bb\u6563\u6b63\u5f26\u53d8\u5316\uff0c\u63a5\u6536\u7aef\u901a\u8fc7\u5339\u914d\u6ee4\u6ce2\u548c\u6574\u7b26\u53f7\u6a21\u677f\u5339\u914d\u8fdb\u884c\u8bc6\u522b\uff0c\u4ece\u800c\u5728\u65f6\u95f4\u57df\u548c\u9891\u7387\u57df\u90fd\u643a\u5e26\u6570\u636e\u3002<\/p>\n<h3>4. \u53d1\u5c04\u7aef\u573a\u666f\u6e32\u67d3<\/h3>\n<p>\u4e3a\u4e86\u8ba9\u89c6\u9891\u66f4\u63a5\u8fd1\u771f\u5b9e\u573a\u666f\u6295\u5c04\uff0c\u672c\u9879\u76ee\u6ca1\u6709\u7b80\u5355\u5730\u76f4\u63a5\u53e0\u52a0\u7eaf\u8272\u5706\u70b9\uff0c\u800c\u662f\u505a\u4e86\u4ee5\u4e0b\u5904\u7406\uff1a<\/p>\n<ul>\n<li>\u4f7f\u7528\u9ad8\u65af\u6838\u6784\u5efa\u6838\u5fc3\u5149\u6591\u548c\u5916\u6269 bloom\uff0c\u4f46\u5bf9\u4e2d\u5fc3\u4fe1\u53f7\u5f3a\u5ea6\u4fdd\u7559\u5355\u72ec\u4e0b\u9650\uff0c\u907f\u514d\u771f\u5b9e\u611f\u589e\u5f3a\u540e\u5f71\u54cd\u89e3\u7801\u7a33\u5b9a\u6027\u3002<\/li>\n<li>\u4f7f\u7528\u5c40\u90e8\u7070\u5ea6\u3001\u989c\u8272\u76f8\u4f3c\u6027\u548c\u6a21\u7cca\u8d8b\u52bf\u4f30\u8ba1\u7eb9\u7406\u6743\u91cd\uff0c\u8ba9\u5149\u6591\u8d34\u5408\u5899\u9762\u3001\u5730\u9762\u3001\u5efa\u7b51\u8868\u9762\u7b49\u8fd1\u573a\u627f\u8f7d\u533a\u57df\u3002<\/li>\n<li>\u5bf9\u9ad8\u5904\u5929\u7a7a\u3001\u8fdc\u666f\u5c71\u4f53\u3001\u4f4e\u7eb9\u7406\u84dd\u8272\u533a\u57df\u548c\u96fe\u5316\u533a\u57df\u65bd\u52a0\u6291\u5236\uff0c\u907f\u514d\u51fa\u73b0\u660e\u663e\u4e0d\u771f\u5b9e\u7684\u8fdc\u5904\u6574\u5757\u6295\u5149\u3002<\/li>\n<li>\u652f\u6301 <code>classical_surface<\/code> \u6295\u5c04\u6a21\u5f0f\u548c\u53ef\u9009 <code>depth_surface<\/code> \u6a21\u5f0f\uff1b\u540e\u8005\u53ef\u7ed3\u5408\u6df1\u5ea6 ONNX \u6a21\u578b\u8fdb\u4e00\u6b65\u538b\u5236\u8fdc\u666f\u533a\u57df\u3002<\/li>\n<li>\u4f7f\u7528\u5c40\u90e8\u4eae\u5ea6\u589e\u76ca\u548c\u52a0\u6027\u53d1\u5149\u6df7\u5408\uff0c\u4fdd\u7559\u80cc\u666f\u7ec6\u8282\u548c\u8868\u9762\u8d77\u4f0f\uff0c\u5e76\u901a\u8fc7\u7fbd\u5316\u8fb9\u7f18\u6d88\u9664\u7a81\u5140\u65b9\u5757\u611f\u3002<\/li>\n<li>\u6700\u540e\u53e0\u52a0\u76f8\u673a\u6a21\u7cca\u3001\u566a\u58f0\u548c\u8272\u5f69\u589e\u76ca\uff0c\u6a21\u62df\u5de5\u4e1a\u76f8\u673a\u6210\u50cf\u5dee\u5f02\u3002<\/li>\n<\/ul>\n<h3>5. \u63a5\u6536\u7aef\u81ea\u52a8\u76ee\u6807\u5b9a\u4f4d\u4e0e\u89e3\u7b97<\/h3>\n<p>\u63a5\u6536\u7aef\u9ed8\u8ba4\u4e0d\u9700\u8981\u624b\u5de5\u6307\u5b9a\u5149\u6591\u4f4d\u7f6e\uff0c\u4f1a\u81ea\u52a8\u5b8c\u6210\u4ee5\u4e0b\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li>\u8bfb\u53d6\u89c6\u9891\u524d\u6bb5\u5e27\u5e8f\u5217\u3002<\/li>\n<li>\u4e0b\u91c7\u6837\u540e\u8ba1\u7b97\u65f6\u95f4\u4e2d\u503c\u80cc\u666f\u3002<\/li>\n<li>\u7edf\u8ba1\u5404\u50cf\u7d20\u76f8\u5bf9\u4e8e\u80cc\u666f\u7684\u65f6\u53d8\u80fd\u91cf\u3002<\/li>\n<li>\u5bf9\u6a21\u62df\u5668\u751f\u6210\u7684\u89c6\u9891\uff0c\u4f18\u5148\u8bfb\u53d6\u540c\u540d <code>mp4.json<\/code> sidecar \u4e2d\u7684\u53d1\u5c04\u4f4d\u7f6e\u4f5c\u4e3a\u5148\u9a8c\uff1b\u5bf9\u771f\u5b9e\u5f55\u50cf\u5219\u53d6\u80fd\u91cf\u5cf0\u503c\u4f5c\u4e3a\u53d1\u5c04\u5668\u4f4d\u7f6e\u521d\u503c\u3002<\/li>\n<li>\u5728\u8be5\u4f4d\u7f6e\u5468\u56f4\u5efa\u7acb\u9ad8\u65af ROI \u548c\u73af\u5f62\u80cc\u666f\u533a\u57df\u3002<\/li>\n<li>\u53ef\u9009\u5730\u5148\u6267\u884c\u5168\u5c40\u7a33\u50cf\uff0c\u518d\u5728\u5c40\u90e8\u7a97\u53e3\u5185\u8fdb\u884c\u7ecf\u5178\u5206\u5272\u6216 ONNX \u5206\u5272\u3002<\/li>\n<li>\u5bf9\u5149\u6591\u4f4d\u7f6e\u6267\u884c\u5149\u6d41\u8ddf\u8e2a\uff0c\u5f97\u5230\u9010\u5e27\u4e2d\u5fc3\u70b9\u3002<\/li>\n<li>\u7528 ROI \u5747\u503c\u51cf\u53bb\u73af\u5f62\u80cc\u666f\u5747\u503c\uff0c\u5f97\u5230\u51c0\u53d1\u5149\u4fe1\u53f7\u3002<\/li>\n<li>\u641c\u7d22\u7b26\u53f7\u8d77\u59cb\u5e27\u504f\u79fb\u3002<\/li>\n<li>\u7528\u5339\u914d\u65f6\u95f4\u7801\u3001\u989c\u8272\u5411\u91cf\u548c\u5f3a\u5ea6\u7b49\u7ea7\u65b9\u5f0f\u89e3\u7801\u5934\u90e8\u548c\u8f7d\u8377\u3002<\/li>\n<\/ol>\n<p>\u8fd9\u4e2a\u65b9\u6848\u4e0d\u4f9d\u8d56\u5927\u578b GPU \u6a21\u578b\uff0c\u9002\u5408\u666e\u901a PC \u5728\u51e0\u5206\u949f\u5185\u5904\u7406 10 \u79d2\u91cf\u7ea7\u7684\u89c6\u9891\u3002\u9ed8\u8ba4\u5b9e\u73b0\u504f\u5411 CPU \u53cb\u597d\u3002\u5982\u679c\u540e\u7eed\u9700\u8981\u5f15\u5165\u66f4\u91cd\u7684 AI \u5f00\u6e90\u6a21\u578b\uff0c\u6bd4\u5982\u57fa\u4e8e\u5206\u5272\u7f51\u7edc\u7684\u76ee\u6807\u63a9\u7801\u63d0\u53d6\u6216\u8005\u89c6\u9891\u76ee\u6807\u8ddf\u8e2a\uff0c\u4e5f\u53ef\u4ee5\u5728\u5f53\u524d\u7ed3\u6784\u4e0a\u7ee7\u7eed\u6269\u5c55\u3002<\/p>\n<h2>\u4ee3\u7801\u7ed3\u6784<\/h2>\n<ul>\n<li><code>app.py<\/code>\uff1a\u547d\u4ee4\u884c\u548c\u672c\u5730\u7f51\u9875\u754c\u9762\u5165\u53e3\u3002<\/li>\n<li><code>desktop_app.py<\/code>\uff1aTkinter \u684c\u9762 GUI\u3002<\/li>\n<li><code>app_v2.py<\/code>\uff1av2 \u547d\u4ee4\u884c\u548c\u672c\u5730\u7f51\u9875\u754c\u9762\u5165\u53e3\u3002<\/li>\n<li><code>desktop_app_v2.py<\/code>\uff1av2 Tkinter \u684c\u9762 GUI\u3002<\/li>\n<li><code>one_click_test.ps1<\/code>\uff1a\u4e00\u952e\u9ed8\u8ba4\u53c2\u6570\u901a\u4fe1\u6d4b\u8bd5\u811a\u672c\u3002<\/li>\n<li><code>one_click_test.bat<\/code>\uff1a\u9762\u5411\u53cc\u51fb\u6216 CMD \u73af\u5883\u7684\u4e00\u952e\u6d4b\u8bd5\u5165\u53e3\u3002<\/li>\n<li><code>one_click_test_v2.ps1<\/code>\uff1av2 \u4e00\u952e\u5feb\u901f\u6587\u672c\u901a\u4fe1\u6d4b\u8bd5\u811a\u672c\u3002<\/li>\n<li><code>one_click_test_v2.bat<\/code>\uff1av2 \u53cc\u51fb\u7248\u4e00\u952e\u6d4b\u8bd5\u5165\u53e3\u3002<\/li>\n<li><code>TECHNICAL_DETAILS.md<\/code>\uff1a\u6269\u5199\u540e\u7684\u6280\u672f\u8bf4\u660e\u6587\u6863\uff0c\u5305\u542b\u5b57\u7b26 <code>A<\/code> \u7684\u5b8c\u6574\u7f16\u7801\u4e0e\u89e3\u7801\u793a\u4f8b\u3002<\/li>\n<li><code>vlc_sim\/payload.py<\/code>\uff1a\u6587\u672c\/\u6587\u4ef6\u7edf\u4e00\u5c01\u88c5\u3001\u5206\u7247\u5143\u6570\u636e\u548c\u91cd\u7ec4\u6062\u590d\u3002<\/li>\n<li><code>vlc_sim\/ai.py<\/code>\uff1aONNX \u6a21\u578b\u4e0b\u8f7d\u3001\u5206\u5272\u63a8\u7406\u4e0e\u6df1\u5ea6\u4f30\u8ba1\u3002<\/li>\n<li><code>vlc_sim\/models.py<\/code>\uff1a\u6e90\u3001\u76f8\u673a\u548c\u94fe\u8def\u914d\u7f6e\u6570\u636e\u7ed3\u6784\u3002<\/li>\n<li><code>vlc_sim\/calibration.py<\/code>\uff1a\u672c\u673a TCP \u6821\u51c6\u6d41\u7a0b\u3002<\/li>\n<li><code>vlc_sim\/codec.py<\/code>\uff1a\u538b\u7f29\u3001\u7ea0\u9519\u3001\u7b26\u53f7\u6620\u5c04\u4e0e\u65f6\u95f4\u7801\u3002<\/li>\n<li><code>vlc_sim\/render.py<\/code>\uff1a\u573a\u666f\u5149\u6591\u6e32\u67d3\u4e0e\u76f8\u673a\u6a21\u62df\u3002<\/li>\n<li><code>vlc_sim\/transmitter.py<\/code>\uff1a\u53d1\u5c04\u7aef\u89c6\u9891\u751f\u6210\u3002<\/li>\n<li><code>vlc_sim\/receiver.py<\/code>\uff1a\u63a5\u6536\u7aef\u81ea\u52a8\u5b9a\u4f4d\u4e0e\u89e3\u7801\u3002<\/li>\n<li><code>vlc_fast\/models.py<\/code>\uff1av2 \u8bbe\u7f6e\u3001\u94fe\u8def\u914d\u7f6e\u548c\u7ed3\u679c\u7ed3\u6784\u3002<\/li>\n<li><code>vlc_fast\/protocol.py<\/code>\uff1av2 \u7684 16 \u72b6\u6001\u5feb\u901f\u7b26\u53f7\u534f\u8bae\u3002<\/li>\n<li><code>vlc_fast\/calibration.py<\/code>\uff1av2 \u81ea\u9002\u5e94\u901f\u7387\u62df\u5408\u4e0e\u540e\u7aef\u9009\u62e9\u3002<\/li>\n<li><code>vlc_fast\/transmitter.py<\/code>\uff1av2 \u5feb\u901f\u53d1\u5c04\u89c6\u9891\u751f\u6210\u3002<\/li>\n<li><code>vlc_fast\/receiver.py<\/code>\uff1av2 \u81ea\u52a8\u5b9a\u4f4d\u3001\u540c\u6b65\u548c\u6587\u672c\u6062\u590d\u3002<\/li>\n<\/ul>\n<h2>\u5b89\u88c5<\/h2>\n<p>\u5f53\u524d\u76ee\u5f55\u5df2\u7ecf\u6309\u4ee5\u4e0b\u4f9d\u8d56\u5b9e\u73b0\uff1a<\/p>\n<ul>\n<li><code>numpy<\/code><\/li>\n<li><code>opencv-python-headless<\/code><\/li>\n<li><code>gradio<\/code><\/li>\n<li><code>reedsolo<\/code><\/li>\n<li><code>onnxruntime<\/code><\/li>\n<li><code>pillow<\/code><\/li>\n<\/ul>\n<p>\u5982\u679c\u9700\u8981\u91cd\u65b0\u5b89\u88c5\uff0c\u53ef\u4ee5\u5728\u5f53\u524d\u865a\u62df\u73af\u5883\u4e2d\u6267\u884c\uff1a<\/p>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe -m pip install numpy opencv-python-headless gradio reedsolo onnxruntime pillow<\/code><\/pre>\n<h2>\u542f\u52a8\u7f51\u9875\u754c\u9762<\/h2>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app.py ui --port 7860<\/code><\/pre>\n<p>\u542f\u52a8\u540e\u6253\u5f00\u672c\u673a Gradio \u9875\u9762\uff0c\u754c\u9762\u5305\u542b\u4e09\u4e2a\u6807\u7b7e\u9875\uff1a<\/p>\n<ul>\n<li>\u6821\u51c6\uff1a\u6a21\u62df\u53d1\u5c04\u7aef\u548c\u63a5\u6536\u7aef\u5728 127.0.0.1 \u4e0a\u901a\u8fc7 TCP \u9009\u51fa\u94fe\u8def\u53c2\u6570\u3002<\/li>\n<li>\u53d1\u5c04\u7aef\uff1a\u8f93\u5165\u5b57\u7b26\u4e32\u6216\u6587\u4ef6\uff0c\u9009\u62e9\u80cc\u666f\u89c6\u9891\u548c\u6295\u5c04\u5750\u6807\uff0c\u751f\u6210\u5e26\u53ef\u89c1\u5149\u901a\u4fe1\u5e8f\u5217\u7684 mp4\u3002<\/li>\n<li>\u63a5\u6536\u7aef\uff1a\u8bfb\u53d6 mp4 \u6216 bundle \u6e05\u5355\uff0c\u81ea\u52a8\u5b9a\u4f4d\u5149\u6591\u5e76\u89e3\u7801\u5b57\u7b26\u4e32\u6216\u6062\u590d\u6587\u4ef6\u3002<\/li>\n<li>AI \u6a21\u578b\uff1a\u4e0b\u8f7d\u53ef\u9009\u7684 ONNX \u5206\u5272\u6a21\u578b\uff0c\u6216\u76f4\u63a5\u4e0b\u8f7d\u9ed8\u8ba4\u6df1\u5ea6\u6a21\u578b\u3002<\/li>\n<\/ul>\n<h3>\u542f\u52a8 v2 \u7f51\u9875\u754c\u9762<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app_v2.py ui --port 7861<\/code><\/pre>\n<p><code>v2<\/code> \u7f51\u9875\u754c\u9762\u5305\u542b 4 \u4e2a\u6807\u7b7e\u9875\uff1a<\/p>\n<ul>\n<li><code>v2 \u81ea\u9002\u5e94\u6821\u51c6<\/code>\uff1a\u6839\u636e\u80cc\u666f\u89c6\u9891\u548c\u63a5\u6536\u53c2\u6570\u4f30\u8ba1 <code>repeat<\/code>\u3001\u6709\u6548\u7b26\u53f7\u7387\u548c\u5f53\u524d\u8ba1\u7b97\u540e\u7aef\u3002<\/li>\n<li><code>v2 \u53d1\u5c04\u7aef<\/code>\uff1a\u76f4\u63a5\u628a\u6587\u672c\u7f16\u7801\u6210 RGB + \u4eae\u5ea6\u5feb\u901f\u94fe\u8def\u5e76\u6e32\u67d3\u89c6\u9891\u3002<\/li>\n<li><code>v2 \u63a5\u6536\u7aef<\/code>\uff1a\u81ea\u52a8\u5bfb\u627e\u5149\u6591\u5e76\u6062\u590d\u6587\u672c\u6d88\u606f\u3002<\/li>\n<li><code>v2 AI \u6a21\u578b<\/code>\uff1a\u4e0b\u8f7d\u53ef\u9009 ONNX \u6a21\u578b\uff0c\u4f9b\u80cc\u666f\u6291\u5236 \/ \u4e2d\u5fc3\u5fae\u8c03\u7528\u3002<\/li>\n<\/ul>\n<h2>\u542f\u52a8\u684c\u9762 GUI<\/h2>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe desktop_app.py<\/code><\/pre>\n<p>\u684c\u9762 GUI \u4f7f\u7528 Tkinter \u6784\u5efa\uff0c\u9002\u5408\u672c\u673a\u6f14\u793a\uff0c\u4e0d\u4f9d\u8d56\u6d4f\u89c8\u5668\u3002<\/p>\n<h3>\u542f\u52a8 v2 \u684c\u9762 GUI<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe desktop_app_v2.py<\/code><\/pre>\n<p><code>v2<\/code> \u684c\u9762 GUI \u63d0\u4f9b\u72ec\u7acb\u7684\u6821\u51c6\u3001\u53d1\u5c04\u548c\u63a5\u6536\u5de5\u4f5c\u9875\uff0c\u9ed8\u8ba4\u56f4\u7ed5 <code>test3.mp4<\/code> \u4e0e <code>1000,300<\/code> \u7684\u5feb\u901f\u6587\u672c\u94fe\u8def\u8bbe\u8ba1\u3002<\/p>\n<p>\u684c\u9762 GUI \u5f53\u524d\u652f\u6301\uff1a<\/p>\n<ul>\n<li>\u53d1\u5c04\u3001\u63a5\u6536\u3001\u6821\u51c6\u4e09\u4e2a\u5de5\u4f5c\u9875\u3002<\/li>\n<li>\u540e\u53f0\u7ebf\u7a0b\u6267\u884c\u4efb\u52a1\uff0c\u907f\u514d\u7a97\u53e3\u5361\u6b7b\u3002<\/li>\n<li>\u8fdb\u5ea6\u6761\u4e0e\u72b6\u6001\u6587\u672c\u3002<\/li>\n<li>\u53d6\u6d88\u5f53\u524d\u4efb\u52a1\u3002<\/li>\n<li>\u81ea\u52a8\u663e\u793a\u8f93\u51fa\u89c6\u9891\u9996\u5e27\u9884\u89c8\u3002<\/li>\n<li>\u4e00\u952e\u6253\u5f00\u6700\u65b0\u8f93\u51fa\u6587\u4ef6\u6216\u8f93\u51fa\u76ee\u5f55\u3002<\/li>\n<li>\u5206\u9636\u6bb5\u6267\u884c\u65e5\u5fd7\uff0c\u4fbf\u4e8e\u786e\u8ba4\u6821\u51c6\u3001\u6e32\u67d3\u3001\u89e3\u7801\u662f\u5426\u6b63\u5e38\u63a8\u8fdb\u3002<\/li>\n<li>\u6587\u4ef6\u4f20\u8f93\u65f6\u53ef\u76f4\u63a5\u751f\u6210 bundle \u6e05\u5355\u5e76\u5728\u63a5\u6536\u7aef\u8f7d\u5165\u3002<\/li>\n<\/ul>\n<h2>\u547d\u4ee4\u884c\u793a\u4f8b<\/h2>\n<h3>\u53d1\u5c04\u7aef<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app.py transmit --message \"hello visible light\" --background test1.mp4 --output outputs\/transmission.mp4 --source-type rgb_led --x 900 --y 120<\/code><\/pre>\n<h3>\u6587\u4ef6\u53d1\u5c04\u7aef<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app.py transmit --message \"payload file\" --input-file tips.txt --background test1.mp4 --output outputs\/file_transfer.mp4 --source-type rgb_led --x 900 --y 120 --chunk-size 32<\/code><\/pre>\n<h3>\u591a\u5206\u5377\u6587\u4ef6\u53d1\u5c04\u7aef<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app.py transmit-bundle --input-file tips.txt --background test1.mp4 --output-manifest outputs\/tips_bundle.json --source-type rgb_led --x 900 --y 120 --chunk-size 32 --max-volume-seconds 10<\/code><\/pre>\n<h3>\u63a5\u6536\u7aef<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app.py receive --video outputs\/transmission.mp4 --source-type rgb_led --output-dir recovered<\/code><\/pre>\n<h3>v2 \u957f\u6587\u672c\u6a21\u5f0f<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app_v2.py transmit --link-mode long_text --message \"v2 long text demo\" --background test1.mp4 --output outputs\/test1_v2_long.mp4 --x 900 --y 120 --parse-fps 24 --frequency 24 --min-frequency 4 --max-frequency 120 --spot-radius 110 --blur 0.32 --noise 0.25 --processing-scale 0.65 --prefer-gpu\ng:\/toys\/.venv\/Scripts\/python.exe app_v2.py receive --link-mode long_text --video outputs\/test1_v2_long.mp4 --parse-fps 24 --frequency 24 --min-frequency 4 --max-frequency 120 --spot-radius 110 --blur 0.32 --noise 0.25 --processing-scale 0.65 --output-dir recovered_v2_test1_long --candidate-search-count 6 --prefer-gpu<\/code><\/pre>\n<h3>v2 \u771f\u5b9e\u6444\u50cf\u5934\u98ce\u683c\u56de\u5f52<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe tools\/run_v2_real_camera_regression.py --preset simulated_real_test3 --background test3.mp4 --message \"real camera t3\" --x 1000 --y 300 --simulate-real-camera<\/code><\/pre>\n<p>\u53ef\u7528\u9884\u8bbe\u4fdd\u5b58\u5728 <code>tools\/v2_real_camera_presets.json<\/code>\uff0c\u5f53\u524d\u5305\u542b\uff1a<\/p>\n<ul>\n<li><code>webcam_30fps<\/code><\/li>\n<li><code>industrial_60fps<\/code><\/li>\n<li><code>simulated_real_test3<\/code><\/li>\n<\/ul>\n<h3>\u591a\u5206\u5377\u63a5\u6536\u7aef<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app.py receive-bundle --manifest outputs\/tips_bundle.json --source-type rgb_led --output-dir recovered_bundle<\/code><\/pre>\n<p>\u5982\u9700\u542f\u7528\u589e\u5f3a\u89e3\u6790\u8def\u5f84\uff0c\u53ef\u4ee5\u6309\u9700\u589e\u52a0\uff1a<\/p>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app.py receive --video outputs\/transmission.mp4 --source-type rgb_led --output-dir recovered --segmentation-mode classical --tracker-mode optical_flow<\/code><\/pre>\n<h3>\u4e0b\u8f7d ONNX \u5206\u5272\u6a21\u578b<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app.py download-ai-model --url \"https:\/\/example.com\/segmenter.onnx\" --output models\/segmenter.onnx<\/code><\/pre>\n<h3>\u4e0b\u8f7d\u9ed8\u8ba4\u6df1\u5ea6\u6a21\u578b<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app.py download-depth-model --output models\/depth_anything_v2_small.onnx<\/code><\/pre>\n<h2>v2 \u547d\u4ee4\u884c\u793a\u4f8b<\/h2>\n<h3>v2 \u81ea\u9002\u5e94\u6821\u51c6<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app_v2.py calibrate --background test3.mp4 --parse-fps 30 --frequency 90 --min-frequency 30 --max-frequency 240 --spot-radius 96 --processing-scale 0.5 --prefer-gpu<\/code><\/pre>\n<h3>v2 \u53d1\u5c04\u7aef<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app_v2.py transmit --message \"v2 \u5feb\u901f\u5149\u901a\u4fe1\u6d4b\u8bd5\" --background test3.mp4 --output outputs\/transmission_v2_fast.mp4 --x 1000 --y 300 --parse-fps 30 --frequency 90 --min-frequency 30 --max-frequency 240 --spot-radius 96 --blur 0.35 --noise 0.35 --processing-scale 0.5 --prefer-gpu<\/code><\/pre>\n<h3>v2 \u63a5\u6536\u7aef<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app_v2.py receive --video outputs\/transmission_v2_fast.mp4 --parse-fps 30 --frequency 90 --min-frequency 30 --max-frequency 240 --spot-radius 96 --blur 0.35 --noise 0.35 --processing-scale 0.5 --output-dir recovered_v2 --candidate-search-count 6 --prefer-gpu<\/code><\/pre>\n<h3>\u4e0b\u8f7d v2 \u53ef\u9009 AI \u6a21\u578b<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app_v2.py download-ai-model --url \"https:\/\/example.com\/segmenter.onnx\" --output models\/segmenter.onnx<\/code><\/pre>\n<h3>\u542f\u7528\u771f\u5b9e\u6295\u5c04\u6a21\u5f0f<\/h3>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app.py transmit --message \"hello realism\" --background test1.mp4 --output outputs\/transmission_realistic.mp4 --source-type rgb_led --projection-mode classical_surface --x 900 --y 120<\/code><\/pre>\n<p>\u5982\u9700\u8fdb\u4e00\u6b65\u5229\u7528\u6df1\u5ea6\u5148\u9a8c\u6291\u5236\u8fdc\u666f\u533a\u57df\uff0c\u53ef\u4ee5\u6539\u7528\uff1a<\/p>\n<pre><code class=\"language-powershell\">g:\/toys\/.venv\/Scripts\/python.exe app.py transmit --message \"hello realism\" --background test1.mp4 --output outputs\/transmission_depth.mp4 --source-type rgb_led --projection-mode depth_surface --depth-model models\/depth_anything_v2_small.onnx --x 900 --y 120<\/code><\/pre>\n<h3>\u4e00\u952e\u9ed8\u8ba4\u901a\u4fe1\u6d4b\u8bd5<\/h3>\n<pre><code class=\"language-powershell\">powershell -ExecutionPolicy Bypass -File .one_click_test.ps1<\/code><\/pre>\n<p>\u6216\u8005\u5728 <code>cmd.exe<\/code> \/ \u8d44\u6e90\u7ba1\u7406\u5668\u91cc\u76f4\u63a5\u8fd0\u884c\uff1a<\/p>\n<pre><code class=\"language-bat\">one_click_test.bat<\/code><\/pre>\n<p>\u8fd9\u4e2a\u811a\u672c\u4f1a\u4f7f\u7528\u9ed8\u8ba4\u80cc\u666f\u4e0e\u9ed8\u8ba4\u6295\u5c04\u4f4d\u7f6e <code>900,120<\/code>\uff0c\u5e76\u91c7\u7528\u5185\u7f6e\u7684\u7a33\u5b9a\u70df\u6d4b\u53c2\u6570\u7ec4\u5408\uff0c\u4ee5\u5b57\u7b26\u4e32 <code>\u4f60\u597d\uff0c\u6817\u5b50\u6811<\/code> \u8fdb\u884c\u4e00\u6b21\u5b8c\u6574\u7684\u53d1\u5c04\u548c\u63a5\u6536\u6d4b\u8bd5\uff0c\u5e76\u81ea\u52a8\u6821\u9a8c\u6062\u590d\u7ed3\u679c\u662f\u5426\u4e00\u81f4\u3002<\/p>\n<h3>\u4e00\u952e v2 \u5feb\u901f\u901a\u4fe1\u6d4b\u8bd5<\/h3>\n<pre><code class=\"language-powershell\">powershell -ExecutionPolicy Bypass -File .one_click_test_v2.ps1<\/code><\/pre>\n<p>\u6216\u8005\u5728 <code>cmd.exe<\/code> \/ \u8d44\u6e90\u7ba1\u7406\u5668\u91cc\u76f4\u63a5\u8fd0\u884c\uff1a<\/p>\n<pre><code class=\"language-bat\">one_click_test_v2.bat<\/code><\/pre>\n<p>\u8fd9\u4e2a\u811a\u672c\u4f1a\u56fa\u5b9a\u4f7f\u7528 <code>test3.mp4<\/code>\u3001\u6295\u5c04\u4f4d\u7f6e <code>1000,300<\/code>\u3001<code>parse-fps=30<\/code>\u3001\u76ee\u6807\u9891\u7387 <code>90 Hz<\/code>\u3001\u5149\u6591\u534a\u5f84 <code>96 px<\/code>\uff0c\u5e76\u9a8c\u8bc1\u5b57\u7b26\u4e32 <code>v2 \u5feb\u901f\u5149\u901a\u4fe1\u6d4b\u8bd5<\/code> \u662f\u5426\u80fd\u88ab\u5b8c\u6574\u6062\u590d\u3002\u5f53\u524d\u9ed8\u8ba4\u81ea\u9002\u5e94\u7ed3\u679c\u4f1a\u9009\u62e9 <code>repeat=2<\/code>\uff0c\u5bf9\u5e94\u6709\u6548\u7b26\u53f7\u7387 <code>15 Hz<\/code>\uff0c\u6709\u6548\u8f7d\u8377\u901f\u7387\u7ea6 <code>60 bps<\/code>\u3002<\/p>\n<h2>\u9ed8\u8ba4\u6d4b\u8bd5\u65b9\u6cd5<\/h2>\n<p>\u5f00\u53d1\u5b8c\u6210\u540e\u7684\u9ed8\u8ba4\u6d4b\u8bd5\u7d20\u6750\u4e3a\u5f53\u524d\u76ee\u5f55\u4e0b\u7684 <code>test1.mp4<\/code>\u3002\u5efa\u8bae\u7528\u4e0b\u9762\u7684\u6d41\u7a0b\u505a\u4e00\u6b21\u5b8c\u6574\u8054\u8c03\uff1a<\/p>\n<ol>\n<li>\u8fd0\u884c\u53d1\u5c04\u7aef\uff0c\u5c06\u4e00\u6bb5\u77ed\u5b57\u7b26\u4e32\u6216\u6587\u4ef6\u6295\u5c04\u5230 <code>test1.mp4<\/code> \u4e0a\u3002<\/li>\n<li>\u8bb0\u5f55\u751f\u6210\u7684\u89c6\u9891\u8def\u5f84\uff0c\u6bd4\u5982 <code>outputs\/transmission.mp4<\/code> \u6216 <code>outputs\/file_transfer.mp4<\/code>\u3002<\/li>\n<li>\u8fd0\u884c\u63a5\u6536\u7aef\uff0c\u5bf9\u8be5\u89c6\u9891\u8fdb\u884c\u81ea\u52a8\u68c0\u6d4b\u3001\u7a33\u50cf\u548c\u89e3\u7801\u3002<\/li>\n<li>\u68c0\u67e5\u7ec8\u7aef\u6216\u8005\u754c\u9762\u4e2d\u8f93\u51fa\u7684\u5b57\u7b26\u4e32\u662f\u5426\u4e0e\u539f\u59cb\u8f93\u5165\u4e00\u81f4\uff0c\u6216\u8005\u786e\u8ba4\u6062\u590d\u76ee\u5f55\u4e2d\u7684\u6587\u4ef6\u6821\u9a8c\u6b63\u786e\u3002<\/li>\n<\/ol>\n<p>\u5982\u679c\u4f60\u5e0c\u671b\u76f4\u63a5\u8d70\u5185\u7f6e\u5192\u70df\u6d4b\u8bd5\uff0c\u53ef\u4ee5\u8fd0\u884c <code>one_click_test.ps1<\/code> \u6216 <code>one_click_test.bat<\/code>\u3002\u66f4\u8be6\u7ec6\u7684\u7f16\u7801\u3001\u8c03\u5236\u3001\u540c\u6b65\u3001\u89e3\u8c03\u4e0e\u7ea0\u9519\u8fc7\u7a0b\u8bf4\u660e\u89c1 <code>TECHNICAL_DETAILS.md<\/code>\uff0c\u5176\u4e2d\u8fd8\u5305\u542b\u6574\u4f53\u6d41\u7a0b\u56fe\u548c\u5b57\u7b26 <code>A<\/code> \u7684\u65f6\u5e8f\u793a\u610f\u56fe\u3002<\/p>\n<h2>\u6027\u80fd\u4e0e\u9650\u5236<\/h2>\n<ul>\n<li>\u5f53\u524d\u5b9e\u73b0\u9762\u5411\u56fa\u5b9a\u673a\u4f4d\u89c6\u9891\uff0c\u5df2\u589e\u52a0\u8f7b\u91cf\u7ea7\u5168\u5c40\u7a33\u50cf\u548c\u5c40\u90e8\u5149\u6d41\u8ddf\u8e2a\uff0c\u4f46\u4e0d\u7b49\u4ef7\u4e8e\u4e13\u4e1a\u7ea7\u7a33\u50cf\u5de5\u5177\u94fe\u3002<\/li>\n<li>\u9ed8\u8ba4\u63a5\u6536\u7b97\u6cd5\u662f CPU \u53cb\u597d\u7684\u65f6\u57df\u548c\u8272\u57df\u8054\u5408\u5206\u6790\uff1bONNX \u5206\u5272\u5c5e\u4e8e\u53ef\u9009\u589e\u5f3a\u8def\u5f84\u3002<\/li>\n<li><code>depth_surface<\/code> \u6a21\u5f0f\u4f1a\u5728\u53d1\u9001\u7aef\u989d\u5916\u6267\u884c ONNX \u6df1\u5ea6\u4f30\u8ba1\uff0c\u771f\u5b9e\u611f\u66f4\u597d\uff0c\u4f46\u751f\u6210\u901f\u5ea6\u4f1a\u660e\u663e\u6162\u4e8e\u7ecf\u5178\u6a21\u5f0f\u3002<\/li>\n<li>\u9ed8\u8ba4\u63a5\u6536\u4f1a\u4ee5 0.5 \u500d\u6bd4\u4f8b\u7f29\u653e\u89c6\u9891\u505a\u89e3\u6790\uff0c\u4ee5\u964d\u4f4e 1080p \u957f\u89c6\u9891\u7684\u5904\u7406\u5f00\u9500\uff1b\u8fd9\u4e0d\u4f1a\u5f71\u54cd\u6a21\u62df\u89c6\u9891\u7684 sidecar \u5f15\u5bfc\u89e3\u7801\u3002<\/li>\n<li>\u5982\u679c\u89c6\u9891\u5206\u8fa8\u7387\u8f83\u9ad8\u3001\u53d1\u5c04\u70b9\u592a\u5c0f\u6216\u8005\u80cc\u666f\u8fd0\u52a8\u8fc7\u5f3a\uff0c\u5efa\u8bae\u589e\u5927\u5149\u6591\u534a\u5f84\u3001\u964d\u4f4e\u7b26\u53f7\u7387\uff0c\u6216\u8005\u63d0\u9ad8\u76f8\u673a\u5e27\u7387\u53c2\u6570\u3002<\/li>\n<li>\u66f4\u957f\u7684\u6d88\u606f\u4f1a\u751f\u6210\u66f4\u957f\u7684\u89c6\u9891\uff0c\u56e0\u4e3a\u7cfb\u7edf\u4f1a\u5faa\u73af\u80cc\u666f\u89c6\u9891\u76f4\u5230\u5b8c\u6574\u627f\u8f7d\u6240\u6709\u7b26\u53f7\u3002<\/li>\n<li>\u5bf9\u4e8e\u6587\u4ef6\u4f20\u8f93\uff0c\u5f53\u524d\u5efa\u8bae\u628a\u5355\u5206\u7247\u5927\u5c0f\u63a7\u5236\u5728 16 \u5230 64 bytes \u4e4b\u95f4\uff0c\u4ee5\u6362\u53d6\u66f4\u7a33\u7684\u6062\u590d\u7387\u3002<\/li>\n<li>\u591a\u5206\u5377\u6a21\u5f0f\u9002\u5408\u8f83\u957f\u6587\u4ef6\uff0c\u4f46\u6574\u4f53\u751f\u6210\u65f6\u95f4\u4e0e\u89c6\u9891\u957f\u5ea6\u6210\u6b63\u6bd4\uff0c\u5efa\u8bae\u5148\u7528\u8f83\u5c0f\u6d4b\u8bd5\u6587\u4ef6\u9a8c\u8bc1\u53c2\u6570\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u672c\u9879\u76ee\u5728 Windows \u4e0a\u4f7f\u7528 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-173","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"http:\/\/101.201.62.154\/demotree\/index.php?rest_route=\/wp\/v2\/posts\/173","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/101.201.62.154\/demotree\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/101.201.62.154\/demotree\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/101.201.62.154\/demotree\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/101.201.62.154\/demotree\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=173"}],"version-history":[{"count":3,"href":"http:\/\/101.201.62.154\/demotree\/index.php?rest_route=\/wp\/v2\/posts\/173\/revisions"}],"predecessor-version":[{"id":177,"href":"http:\/\/101.201.62.154\/demotree\/index.php?rest_route=\/wp\/v2\/posts\/173\/revisions\/177"}],"wp:attachment":[{"href":"http:\/\/101.201.62.154\/demotree\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=173"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/101.201.62.154\/demotree\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=173"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/101.201.62.154\/demotree\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=173"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}