{"id":30316,"date":"2025-04-11T11:17:38","date_gmt":"2025-04-11T03:17:38","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=30316"},"modified":"2025-04-11T11:17:38","modified_gmt":"2025-04-11T03:17:38","slug":"recammaster","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/recammaster\/","title":{"rendered":"ReCamMaster\uff1a\u4ece\u5355\u4e00\u89c6\u9891\u751f\u6210\u591a\u89c6\u89d2\u89c6\u9891\u7684\u6e32\u67d3\u5de5\u5177"},"content":{"rendered":"<p>ReCamMaster \u662f\u4e00\u4e2a\u5f00\u6e90\u89c6\u9891\u5904\u7406\u5de5\u5177\uff0c\u6838\u5fc3\u529f\u80fd\u662f\u4ece\u5355\u4e00\u89c6\u9891\u751f\u6210\u65b0\u7684\u76f8\u673a\u89c6\u89d2\u3002\u7528\u6237\u53ef\u4ee5\u6307\u5b9a\u76f8\u673a\u8f68\u8ff9\uff0c\u91cd\u65b0\u6e32\u67d3\u89c6\u9891\uff0c\u83b7\u5f97\u4e0d\u540c\u89d2\u5ea6\u7684\u52a8\u6001\u753b\u9762\u3002\u5b83\u7531\u6d59\u6c5f\u5927\u5b66\u3001\u5feb\u624b\u79d1\u6280\u7b49\u56e2\u961f\u5f00\u53d1\uff0c\u57fa\u4e8e\u6587\u672c\u5230\u89c6\u9891\u6269\u6563\u6a21\u578b\u3002ReCamMaster \u652f\u6301\u89c6\u9891\u7a33\u5b9a\u3001\u8d85\u5206\u8fa8\u7387\u589e\u5f3a\u548c\u753b\u9762\u5916\u6269\uff0c\u9002\u7528\u4e8e\u89c6\u9891\u521b\u4f5c\u3001\u81ea\u52a8\u9a7e\u9a76\u6570\u636e\u751f\u6210\u548c\u865a\u62df\u73b0\u5b9e\u5f00\u53d1\u3002\u9879\u76ee\u63d0\u4f9b\u5728\u7ebf\u8bd5\u7528\uff0c\u7528\u6237\u4e0a\u4f20\u89c6\u9891\u540e\u53ef\u5feb\u901f\u83b7\u5f97\u65b0\u89c6\u89d2\u7ed3\u679c\u3002\u5f00\u6e90\u4ee3\u7801\u57fa\u4e8e Wan2.1 \u6a21\u578b\uff0c\u4f46\u56e0\u516c\u53f8\u653f\u7b56\u9650\u5236\uff0c\u5b8c\u6574\u6a21\u578b\u6682\u672a\u5f00\u653e\uff0c\u9700\u901a\u8fc7\u5b98\u65b9\u94fe\u63a5\u4f53\u9a8c\u6700\u4f73\u6548\u679c\u3002\u56e2\u961f\u8fd8\u53d1\u5e03\u4e86 MultiCamVideo \u6570\u636e\u96c6\uff0c\u5305\u542b 13.6 \u4e07\u4e2a\u591a\u89c6\u89d2\u89c6\u9891\uff0c\u52a9\u529b\u76f8\u5173\u7814\u7a76\u3002<\/p>\n<blockquote><p>\u4e0d\u4e45\u540e\uff0c\u53ef\u4ee5\u5728 <a href=\"https:\/\/www.kdjingpai.com\/klingai\/\">\u53ef\u7075<\/a>\u00a0\u56fd\u9645\u7248\u4f53\u9a8c\u3002\u76ee\u524d\u4ec5\u53ef\u4ee5\u5728\u5b98\u65b9\u6d4b\u8bd5\u5730\u5740\u63d0\u4ea4\u89c6\u9891\u540e\uff0c\u7b49\u5f85\u5b98\u65b9\u53cd\u9988\u751f\u6210\u7ed3\u679c\u3002<\/p><\/blockquote>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-30317\" title=\"ReCamMaster\uff1a\u4ece\u5355\u4e00\u89c6\u9891\u751f\u6210\u591a\u89c6\u89d2\u89c6\u9891\u7684\u6e32\u67d3\u5de5\u5177-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/600019f324167ae.jpg\" alt=\"ReCamMaster\uff1a\u4ece\u5355\u4e00\u89c6\u9891\u751f\u6210\u591a\u89c6\u89d2\u89c6\u9891\u7684\u6e32\u67d3\u5de5\u5177-1\" width=\"2627\" height=\"869\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/600019f324167ae.jpg 2627w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/600019f324167ae-768x254.jpg 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/600019f324167ae-1536x508.jpg 1536w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/600019f324167ae-2048x677.jpg 2048w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/600019f324167ae-18x6.jpg 18w\" sizes=\"auto, (max-width: 2627px) 100vw, 2627px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u76f8\u673a\u8f68\u8ff9\u63a7\u5236\uff1a\u7528\u6237\u9009\u62e9\u6216\u81ea\u5b9a\u4e49\u76f8\u673a\u8def\u5f84\uff0c\u751f\u6210\u65b0\u89c6\u89d2\u89c6\u9891\u3002<\/li>\n<li>\u89c6\u9891\u7a33\u5b9a\uff1a\u5c06\u6296\u52a8\u89c6\u9891\u8f6c\u4e3a\u5e73\u6ed1\u753b\u9762\uff0c\u9002\u5408\u624b\u6301\u62cd\u6444\u573a\u666f\u3002<\/li>\n<li>\u8d85\u5206\u8fa8\u7387\u589e\u5f3a\uff1a\u901a\u8fc7\u53d8\u7126\u8f68\u8ff9\u63d0\u5347\u89c6\u9891\u6e05\u6670\u5ea6\uff0c\u751f\u6210\u7ec6\u817b\u753b\u9762\u3002<\/li>\n<li>\u753b\u9762\u5916\u6269\uff1a\u6269\u5c55\u89c6\u9891\u8fb9\u754c\uff0c\u751f\u6210\u8d85\u51fa\u539f\u753b\u9762\u7684\u573a\u666f\u5185\u5bb9\u3002<\/li>\n<li>\u6570\u636e\u589e\u5f3a\uff1a\u4e3a\u81ea\u52a8\u9a7e\u9a76\u6216\u673a\u5668\u4eba\u89c6\u89c9\u751f\u6210\u591a\u89c6\u89d2\u8bad\u7ec3\u6570\u636e\u3002<\/li>\n<li>\u6279\u91cf\u5904\u7406\uff1a\u652f\u6301\u540c\u65f6\u5904\u7406\u591a\u4e2a\u89c6\u9891\uff0c\u81ea\u52a8\u8f93\u51fa\u65b0\u89c6\u89d2\u7ed3\u679c\u3002<\/li>\n<li>\u6570\u636e\u96c6\u652f\u6301\uff1a\u63d0\u4f9b MultiCamVideo \u6570\u636e\u96c6\uff0c\u5305\u542b\u540c\u6b65\u591a\u89c6\u89d2\u89c6\u9891\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>ReCamMaster \u7684\u6838\u5fc3\u5728\u4e8e\u901a\u8fc7\u76f8\u673a\u8f68\u8ff9\u63a7\u5236\uff0c\u4ece\u5355\u4e00\u89c6\u9891\u751f\u6210\u65b0\u7684\u89c6\u89d2\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u4f7f\u7528\u6307\u5357\uff0c\u6db5\u76d6\u5728\u7ebf\u8bd5\u7528\u3001\u672c\u5730\u8fd0\u884c\u548c\u6570\u636e\u96c6\u4f7f\u7528\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u4e0a\u624b\u3002<\/p>\n<h3>\u5728\u7ebf\u8bd5\u7528\u6d41\u7a0b<\/h3>\n<p>ReCamMaster \u63d0\u4f9b\u4fbf\u6377\u7684\u5728\u7ebf\u8bd5\u7528\uff0c\u7528\u6237\u65e0\u9700\u5b89\u88c5\u5373\u53ef\u4f53\u9a8c\u3002\u64cd\u4f5c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<ol>\n<li><strong>\u8bbf\u95ee\u8bd5\u7528\u94fe\u63a5<\/strong>\uff1a\n<ul>\n<li>\u6253\u5f00\u5b98\u65b9 Google Forms \u94fe\u63a5\uff1ahttps:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSezOzGPbm8JMXQDq6EINiDf6iXn7rV4ozj6KcbQCSAzE8Vsnw\/viewform?usp=dialog\u3002<\/li>\n<li>\u8f93\u5165\u6709\u6548\u7684\u90ae\u7bb1\u5730\u5740\uff0c\u7528\u4e8e\u63a5\u6536\u6e32\u67d3\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u4e0a\u4f20\u89c6\u9891<\/strong>\uff1a\n<ul>\n<li>\u51c6\u5907 MP4 \u683c\u5f0f\u89c6\u9891\uff0c\u5efa\u8bae\u65f6\u957f\u81f3\u5c11 81 \u5e27\uff08\u7ea6 3 \u79d2\uff09\uff0c\u5206\u8fa8\u7387\u4e0d\u4f4e\u4e8e 480p\u3002<\/li>\n<li>\u786e\u4fdd\u89c6\u9891\u5185\u5bb9\u6e05\u6670\uff0c\u573a\u666f\u52a8\u6001\u9002\u4e2d\uff0c\u907f\u514d\u8fc7\u6697\u3001\u8fc7\u66dd\u6216\u7eaf\u9759\u6001\u753b\u9762\u3002<\/li>\n<li>\u5728\u8868\u5355\u4e2d\u4e0a\u4f20\u89c6\u9891\uff0c\u6ce8\u610f\u6587\u4ef6\u5927\u5c0f\u9650\u5236\uff08\u901a\u5e38\u4e3a 100MB\uff0c\u5177\u4f53\u4ee5\u8868\u5355\u8bf4\u660e\u4e3a\u51c6\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u9009\u62e9\u76f8\u673a\u8f68\u8ff9<\/strong>\uff1a\n<ul>\n<li>ReCamMaster \u63d0\u4f9b 10 \u79cd\u9884\u8bbe\u8f68\u8ff9\uff0c\u8986\u76d6\u5e38\u89c1\u89c6\u89d2\u53d8\u5316\uff1a\n<ul>\n<li>\u5411\u53f3\u5e73\u79fb\uff08Pan Right\uff09\uff1a\u6c34\u5e73\u79fb\u52a8\uff0c\u5c55\u793a\u573a\u666f\u5bbd\u5ea6\u3002<\/li>\n<li>\u5411\u5de6\u5e73\u79fb\uff08Pan Left\uff09\uff1a\u53cd\u5411\u6c34\u5e73\u79fb\u52a8\u3002<\/li>\n<li>\u5411\u4e0a\u503e\u659c\uff08Tilt Up\uff09\uff1a\u5782\u76f4\u5411\u4e0a\uff0c\u7a81\u51fa\u9ad8\u5904\u7ec6\u8282\u3002<\/li>\n<li>\u5411\u4e0b\u503e\u659c\uff08Tilt Down\uff09\uff1a\u5782\u76f4\u5411\u4e0b\uff0c\u5c55\u793a\u5730\u9762\u5185\u5bb9\u3002<\/li>\n<li>\u653e\u5927\uff08Zoom In\uff09\uff1a\u9760\u8fd1\u4e3b\u4f53\uff0c\u589e\u5f3a\u5c40\u90e8\u6e05\u6670\u5ea6\u3002<\/li>\n<li>\u7f29\u5c0f\uff08Zoom Out\uff09\uff1a\u62c9\u8fdc\u955c\u5934\uff0c\u6269\u5c55\u89c6\u91ce\u3002<\/li>\n<li>\u5411\u4e0a\u5e73\u79fb\uff08Translate Up\uff09\uff1a\u5e26\u65cb\u8f6c\u7684\u5411\u4e0a\u79fb\u52a8\u3002<\/li>\n<li>\u5411\u4e0b\u5e73\u79fb\uff08Translate Down\uff09\uff1a\u5e26\u65cb\u8f6c\u7684\u5411\u4e0b\u79fb\u52a8\u3002<\/li>\n<li>\u5de6\u5f27\u7ebf\uff08Arc Left\uff09\uff1a\u7ed5\u4e3b\u4f53\u5de6\u4fa7\u65cb\u8f6c\u3002<\/li>\n<li>\u53f3\u5f27\u7ebf\uff08Arc Right\uff09\uff1a\u7ed5\u4e3b\u4f53\u53f3\u4fa7\u65cb\u8f6c\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u5728\u8868\u5355\u4e2d\u9009\u62e9\u4e00\u79cd\u8f68\u8ff9\uff0c\u6216\u5907\u6ce8\u81ea\u5b9a\u4e49\u9700\u6c42\uff08\u9700\u8054\u7cfb\u56e2\u961f\u786e\u8ba4\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u63d0\u4ea4\u5e76\u63a5\u6536\u7ed3\u679c<\/strong>\uff1a\n<ul>\n<li>\u63d0\u4ea4\u8868\u5355\u540e\uff0c\u7cfb\u7edf\u81ea\u52a8\u5904\u7406\u89c6\u9891\u3002\u5904\u7406\u65f6\u95f4\u901a\u5e38\u4e3a\u51e0\u5c0f\u65f6\u5230\u4e00\u5929\uff0c\u89c6\u670d\u52a1\u5668\u8d1f\u8f7d\u800c\u5b9a\u3002<\/li>\n<li>\u7ed3\u679c\u4ee5 MP4 \u683c\u5f0f\u53d1\u9001\u5230\u7528\u6237\u90ae\u7bb1\uff0c\u90ae\u4ef6\u6807\u9898\u4e3a\u201cInference Results of ReCamMaster\u201d\uff0c\u53d1\u4ef6\u4eba\u53ef\u80fd\u662f\u00a0<code>jianhongbai@zju.edu.cn<\/code>\u00a0\u6216\u00a0<code>cpurgicn@gmail.com<\/code>\u3002<\/li>\n<li>\u68c0\u67e5\u6536\u4ef6\u7bb1\u548c\u5783\u573e\u90ae\u4ef6\u6587\u4ef6\u5939\u3002\u82e5\u4e00\u5929\u672a\u6536\u5230\uff0c\u53ef\u8054\u7cfb\u56e2\u961f\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p><strong>\u6ce8\u610f<\/strong>\uff1a<\/p>\n<ul>\n<li>\u6bcf\u4f4d\u7528\u6237\u53ef\u514d\u8d39\u8bd5\u7528\uff0c\u4f46\u9891\u7e41\u63d0\u4ea4\u53ef\u80fd\u5ef6\u8fdf\u5904\u7406\u3002<\/li>\n<li>\u7ed3\u679c\u8d28\u91cf\u53d6\u51b3\u4e8e\u89c6\u9891\u5185\u5bb9\uff0c\u52a8\u6001\u573a\u666f\u6548\u679c\u66f4\u4f73\u3002<\/li>\n<li>\u672a\u6765\uff0c\u56e2\u961f\u8ba1\u5212\u63a8\u51fa\u5728\u7ebf\u8bd5\u7528\u7f51\u7ad9\uff0c\u64cd\u4f5c\u5c06\u66f4\u7b80\u5355\u3002<\/li>\n<\/ul>\n<h3>\u672c\u5730\u8fd0\u884c<\/h3>\n<p>\u5f00\u6e90\u4ee3\u7801\u57fa\u4e8e Wan2.1 \u6a21\u578b\uff0c\u9002\u5408\u6709\u6280\u672f\u80cc\u666f\u7684\u7528\u6237\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u5b89\u88c5\u548c\u8fd0\u884c\u6b65\u9aa4\uff1a<\/p>\n<h4>1. \u73af\u5883\u51c6\u5907<\/h4>\n<ul>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u5efa\u8bae\u4f7f\u7528\u914d\u5907 GPU \u7684\u8bbe\u5907\uff08\u5982 NVIDIA RTX 3060 \u6216\u66f4\u9ad8\uff09\uff0cCPU \u8fd0\u884c\u53ef\u80fd\u8f83\u6162\u3002<\/li>\n<li><strong>\u8f6f\u4ef6\u8981\u6c42<\/strong>\uff1a\n<ul>\n<li>Python 3.10<\/li>\n<li>Rust \u548c Cargo\uff08\u7528\u4e8e\u7f16\u8bd1 DiffSynth-Studio\uff09<\/li>\n<li>Git \u548c pip<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>2. \u5b89\u88c5\u6b65\u9aa4<\/h4>\n<ul>\n<li><strong>\u514b\u9686\u4ed3\u5e93<\/strong>\uff1a\n<pre><code>git clone https:\/\/github.com\/KwaiVGI\/ReCamMaster.git\r\ncd ReCamMaster\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5 Rust<\/strong>\uff1a\n<pre><code>curl --proto '=https' --tlsv1.2 -sSf https:\/\/sh.rustup.rs | sh\r\nsource \"$HOME\/.cargo\/env\"\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u521b\u5efa\u865a\u62df\u73af\u5883<\/strong>\uff1a\n<pre><code>conda create -n recammaster python=3.10\r\nconda activate recammaster\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong>\uff1a\n<pre><code>pip install -e .\r\npip install <a href=\"https:\/\/www.kdjingpai.com\/de\/lightning\/\">lightning<\/a> pandas websockets\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd<\/strong>\uff1a\n<ul>\n<li>Wan2.1 \u6a21\u578b\uff1a\n<pre><code>python download_wan2.1.py\r\n<\/code><\/pre>\n<\/li>\n<li>ReCamMaster \u9884\u8bad\u7ec3\u6743\u91cd\uff1a<br \/>\n\u4ece\u00a0https:\/\/huggingface.co\/KwaiVGI\/ReCamMaster-Wan2.1\/blob\/main\/step20000.ckpt\u00a0\u4e0b\u8f7d\u00a0<code>step20000.ckpt<\/code>\uff0c\u653e\u5165\u00a0<code>models\/ReCamMaster\/checkpoints<\/code>\u00a0\u6587\u4ef6\u5939\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>3. \u6d4b\u8bd5\u793a\u4f8b\u89c6\u9891<\/h4>\n<ul>\n<li>\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff0c\u4f7f\u7528\u9884\u8bbe\u8f68\u8ff9\uff08\u5982\u5411\u53f3\u5e73\u79fb\uff09\u6d4b\u8bd5\uff1a\n<pre><code>python inference_recammaster.py --cam_type 1\r\n<\/code><\/pre>\n<\/li>\n<li>\u8f93\u51fa\u7ed3\u679c\u4fdd\u5b58\u5728\u9879\u76ee\u76ee\u5f55\u7684\u00a0<code>output<\/code>\u00a0\u6587\u4ef6\u5939\uff0c\u683c\u5f0f\u4e3a MP4\u3002<\/li>\n<\/ul>\n<h4>4. \u6d4b\u8bd5\u81ea\u5b9a\u4e49\u89c6\u9891<\/h4>\n<ul>\n<li><strong>\u51c6\u5907\u6570\u636e<\/strong>\uff1a\n<ul>\n<li>\u521b\u5efa\u00a0<code>custom_test_data<\/code>\u00a0\u6587\u4ef6\u5939\uff0c\u653e\u5165 MP4 \u89c6\u9891\uff08\u81f3\u5c11 81 \u5e27\uff09\u3002<\/li>\n<li>\u751f\u6210\u00a0<code>metadata.csv<\/code>\uff0c\u8bb0\u5f55\u89c6\u9891\u8def\u5f84\u548c\u63cf\u8ff0\u6027\u5b57\u5e55\u3002\u4f8b\u5982\uff1a\n<pre><code>video_path,caption\r\ntest_video.mp4,\"A person walking in the park\"\r\n<\/code><\/pre>\n<\/li>\n<li>\u5b57\u5e55\u53ef\u624b\u52a8\u7f16\u5199\uff0c\u6216\u4f7f\u7528\u5de5\u5177\u5982 LLaVA \u751f\u6210\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8fd0\u884c\u63a8\u7406<\/strong>\uff1a\n<pre><code>python inference_recammaster.py --cam_type 1 --dataset_path custom_test_data\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<p><strong>\u6ce8\u610f<\/strong>\uff1a<\/p>\n<ul>\n<li>\u672c\u5730\u8fd0\u884c\u6548\u679c\u53ef\u80fd\u4e0d\u5982\u5728\u7ebf\u8bd5\u7528\uff0c\u56e0\u5f00\u6e90\u6a21\u578b\u4e0e\u8bba\u6587\u6a21\u578b\u4e0d\u540c\u3002<\/li>\n<li>\u786e\u4fdd GPU \u5185\u5b58\u5145\u8db3\uff08\u81f3\u5c11 12GB\uff09\u3002<\/li>\n<li>\u5982\u9047\u62a5\u9519\uff0c\u68c0\u67e5\u4f9d\u8d56\u7248\u672c\u6216\u53c2\u8003 GitHub Issues\u3002<\/li>\n<\/ul>\n<h4>5. \u8bad\u7ec3\u6a21\u578b<\/h4>\n<p>\u5982\u679c\u9700\u8981\u81ea\u5b9a\u4e49\u6a21\u578b\uff0c\u9700\u51c6\u5907 MultiCamVideo \u6570\u636e\u96c6\u5e76\u8bad\u7ec3\uff1a<\/p>\n<ul>\n<li><strong>\u4e0b\u8f7d\u6570\u636e\u96c6<\/strong>\uff1a<br \/>\n\u4ece\u00a0https:\/\/huggingface.co\/datasets\/KwaiVGI\/MultiCamVideo-Dataset\u00a0\u4e0b\u8f7d\uff0c\u89e3\u538b\uff1a<\/p>\n<pre><code>cat MultiCamVideo-Dataset.part* &gt; MultiCamVideo-Dataset.tar.gz\r\ntar -xzvf MultiCamVideo-Dataset.tar.gz\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u63d0\u53d6\u7279\u5f81<\/strong>\uff1a\n<pre><code>CUDA_VISIBLE_DEVICES=\"0,1,2,3,4,5,6,7\" python train_recammaster.py --task data_process --dataset_path path\/to\/MultiCamVideo\/Dataset --output_path .\/models --text_encoder_path \"models\/Wan-AI\/Wan2.1-T2V-1.3B\/models_t5_umt5-xxl-enc-bf16.pth\" --vae_path \"models\/Wan-AI\/Wan2.1-T2V-1.3B\/Wan2.1_VAE.pth\" --tiled --num_frames 81 --height 480 --width 832 --dataloader_num_workers 2\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u751f\u6210\u5b57\u5e55<\/strong>\uff1a<br \/>\n\u4f7f\u7528 LLaVA \u7b49\u5de5\u5177\u4e3a\u89c6\u9891\u751f\u6210\u63cf\u8ff0\uff0c\u4fdd\u5b58\u5230\u00a0<code>metadata.csv<\/code>\u3002<\/li>\n<li><strong>\u5f00\u59cb\u8bad\u7ec3<\/strong>\uff1a\n<pre><code>CUDA_VISIBLE_DEVICES=\"0,1,2,3,4,5,6,7\" python train_recammaster.py --task train --dataset_path recam_train_data --output_path .\/models\/train --dit_path \"models\/Wan-AI\/Wan2.1-T2V-1.3B\/diffusion_pytorch_model.safetensors\" --steps_per_epoch 8000 --max_epochs 100 --learning_rate 1e-4 --accumulate_grad_batches 1 --use_gradient_checkpointing --dataloader_num_workers 4\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6d4b\u8bd5\u8bad\u7ec3\u6a21\u578b<\/strong>\uff1a\n<pre><code>python inference_recammaster.py --cam_type 1 --ckpt_path path\/to\/your\/checkpoint\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<p><strong>\u63d0\u793a<\/strong>\uff1a<\/p>\n<ul>\n<li>\u8bad\u7ec3\u9700\u591a\u5f20\u9ad8\u6027\u80fd GPU\uff0c\u5355\u5361\u8bad\u7ec3\u53ef\u80fd\u9700\u8c03\u6574\u6279\u91cf\u5927\u5c0f\u3002<\/li>\n<li>\u53ef\u4f18\u5316\u8d85\u53c2\u6570\uff08\u5982\u5b66\u4e60\u7387\uff09\u4ee5\u63d0\u5347\u6548\u679c\u3002<\/li>\n<\/ul>\n<h3>MultiCamVideo \u6570\u636e\u96c6\u4f7f\u7528<\/h3>\n<p>MultiCamVideo \u6570\u636e\u96c6\u5305\u542b 13.6 \u4e07\u4e2a\u89c6\u9891\uff0c\u8986\u76d6 1.36 \u4e07\u4e2a\u52a8\u6001\u573a\u666f\uff0c\u6bcf\u4e2a\u573a\u666f\u7531 10 \u4e2a\u540c\u6b65\u76f8\u673a\u62cd\u6444\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528\u6307\u5357\uff1a<\/p>\n<h4>1. \u6570\u636e\u96c6\u7ed3\u6784<\/h4>\n<pre><code>MultiCamVideo-Dataset\r\n\u251c\u2500\u2500 train\r\n\u2502   \u251c\u2500\u2500 f18_aperture10\r\n\u2502   \u2502   \u251c\u2500\u2500 scene1\r\n\u2502   \u2502   \u2502   \u251c\u2500\u2500 videos\r\n\u2502   \u2502   \u2502   \u2502   \u251c\u2500\u2500 cam01.mp4\r\n\u2502   \u2502   \u2502   \u2502   \u251c\u2500\u2500 ...\r\n\u2502   \u2502   \u2502   \u2514\u2500\u2500 cameras\r\n\u2502   \u2502   \u2502       \u2514\u2500\u2500 camera_extrinsics.json\r\n\u2502   \u2502   \u251c\u2500\u2500 ...\r\n\u2502   \u251c\u2500\u2500 f24_aperture5\r\n\u2502   \u251c\u2500\u2500 f35_aperture2.4\r\n\u2502   \u251c\u2500\u2500 f50_aperture2.4\r\n\u2514\u2500\u2500 val\r\n\u2514\u2500\u2500 10basic_trajectories\r\n\u251c\u2500\u2500 videos\r\n\u2502   \u251c\u2500\u2500 cam01.mp4\r\n\u2502   \u251c\u2500\u2500 ...\r\n\u2514\u2500\u2500 cameras\r\n\u2514\u2500\u2500 camera_extrinsics.json\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u89c6\u9891\u683c\u5f0f<\/strong>\uff1a1280&#215;1280 \u5206\u8fa8\u7387\uff0c81 \u5e27\uff0c15 FPS\u3002<\/li>\n<li><strong>\u76f8\u673a\u53c2\u6570<\/strong>\uff1a\u7126\u8ddd\uff0818mm\u300124mm\u300135mm\u300150mm\uff09\uff0c\u5149\u5708\uff0810\u30015\u30012.4\uff09\u3002<\/li>\n<li><strong>\u8f68\u8ff9\u6587\u4ef6<\/strong>\uff1a<code>camera_extrinsics.json<\/code>\u00a0\u8bb0\u5f55\u76f8\u673a\u4f4d\u7f6e\u548c\u65cb\u8f6c\u3002<\/li>\n<\/ul>\n<h4>2. \u6570\u636e\u96c6\u7528\u9014<\/h4>\n<ul>\n<li>\u8bad\u7ec3\u89c6\u9891\u751f\u6210\u6a21\u578b\uff0c\u9a8c\u8bc1\u76f8\u673a\u63a7\u5236\u6548\u679c\u3002<\/li>\n<li>\u7814\u7a76\u540c\u6b65\u89c6\u9891\u751f\u4ea7\u6216 3D\/4D \u91cd\u5efa\u3002<\/li>\n<li>\u6d4b\u8bd5\u76f8\u673a\u8f68\u8ff9\u751f\u6210\u7b97\u6cd5\u3002<\/li>\n<\/ul>\n<h4>3. \u64cd\u4f5c\u793a\u4f8b<\/h4>\n<ul>\n<li><strong>\u89e3\u538b\u6570\u636e\u96c6<\/strong>\uff1a\n<pre><code>tar -xzvf MultiCamVideo-Dataset.tar.gz\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u53ef\u89c6\u5316\u76f8\u673a\u8f68\u8ff9<\/strong>\uff1a\n<pre><code>python vis_cam.py\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\u8f68\u8ff9\u56fe\uff0c\u5c55\u793a\u76f8\u673a\u79fb\u52a8\u8def\u5f84\u3002<\/li>\n<\/ul>\n<p><strong>\u6ce8\u610f<\/strong>\uff1a<\/p>\n<ul>\n<li>\u6570\u636e\u96c6\u8f83\u5927\uff08\u5efa\u8bae\u9884\u7559 1TB \u5b58\u50a8\uff09\u3002<\/li>\n<li>\u53ef\u88c1\u526a\u89c6\u9891\u6bd4\u4f8b\uff08\u5982 16:9\uff09\u4ee5\u9002\u914d\u6a21\u578b\u3002<\/li>\n<\/ul>\n<h3>\u529f\u80fd\u64cd\u4f5c\u8be6\u89e3<\/h3>\n<h4>1. \u65b0\u89c6\u89d2\u751f\u6210<\/h4>\n<ul>\n<li><strong>\u529f\u80fd<\/strong>\uff1a\u4ece\u5355\u4e00\u89c6\u9891\u751f\u6210\u65b0\u89c6\u89d2\uff0c\u5982\u5c06\u6b63\u9762\u89c6\u9891\u8f6c\u4e3a\u4fa7\u9762\u6216\u73af\u7ed5\u89c6\u89d2\u3002<\/li>\n<li><strong>\u5728\u7ebf\u64cd\u4f5c<\/strong>\uff1a\n<ul>\n<li>\u4e0a\u4f20\u89c6\u9891\uff0c\u9009\u62e9\u8f68\u8ff9\uff08\u5982\u53f3\u5f27\u7ebf\uff09\u3002<\/li>\n<li>\u7cfb\u7edf\u6839\u636e\u8f68\u8ff9\u91cd\u65b0\u6e32\u67d3\uff0c\u751f\u6210 MP4 \u6587\u4ef6\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u672c\u5730\u64cd\u4f5c<\/strong>\uff1a\n<ul>\n<li>\u8fd0\u884c\u00a0<code>inference_recammaster.py<\/code>\uff0c\u6307\u5b9a\u00a0<code>--cam_type<\/code>\uff08\u5982 9 \u8868\u793a\u5de6\u5f27\u7ebf\uff09\u3002<\/li>\n<li>\u68c0\u67e5\u00a0<code>output<\/code>\u00a0\u6587\u4ef6\u5939\u4e2d\u7684\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u63d0\u793a<\/strong>\uff1a\u52a8\u6001\u573a\u666f\uff08\u5982\u4eba\u7269\u884c\u8d70\uff09\u6548\u679c\u6700\u4f73\uff0c\u9759\u6001\u80cc\u666f\u53ef\u80fd\u751f\u6210\u4e0d\u81ea\u7136\u3002<\/li>\n<\/ul>\n<h4>2. \u89c6\u9891\u7a33\u5b9a<\/h4>\n<ul>\n<li><strong>\u529f\u80fd<\/strong>\uff1a\u6d88\u9664\u624b\u6301\u89c6\u9891\u6296\u52a8\uff0c\u751f\u6210\u5e73\u6ed1\u753b\u9762\u3002<\/li>\n<li><strong>\u64cd\u4f5c<\/strong>\uff1a\n<ul>\n<li>\u5728\u7ebf\uff1a\u4e0a\u4f20\u89c6\u9891\uff0c\u5907\u6ce8\u201c\u7a33\u5b9a\u201d\u9700\u6c42\u3002<\/li>\n<li>\u672c\u5730\uff1a\u6682\u65e0\u76f4\u63a5\u7a33\u5b9a\u547d\u4ee4\uff0c\u9700\u901a\u8fc7\u5e73\u79fb\u8f68\u8ff9\u6a21\u62df\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u6548\u679c<\/strong>\uff1a\u5982\u8dd1\u6b65\u62cd\u6444\u7684\u6296\u52a8\u89c6\u9891\uff0c\u5904\u7406\u540e\u63a5\u8fd1\u4e91\u53f0\u6548\u679c\u3002<\/li>\n<\/ul>\n<h4>3. \u8d85\u5206\u8fa8\u7387\u4e0e\u5916\u6269<\/h4>\n<ul>\n<li><strong>\u8d85\u5206\u8fa8\u7387<\/strong>\uff1a\n<ul>\n<li>\u9009\u62e9\u653e\u5927\u8f68\u8ff9\uff0c\u63d0\u5347\u753b\u9762\u7ec6\u8282\u3002<\/li>\n<li>\u9002\u5408\u4f4e\u5206\u8fa8\u7387\u89c6\u9891\uff0c\u751f\u6210\u6e05\u6670\u5c40\u90e8\u5185\u5bb9\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5916\u6269<\/strong>\uff1a\n<ul>\n<li>\u9009\u62e9\u7f29\u5c0f\u8f68\u8ff9\uff0c\u6269\u5c55\u753b\u9762\u8fb9\u754c\u3002<\/li>\n<li>\u9002\u5408\u72ed\u7a84\u573a\u666f\uff0c\u751f\u6210\u989d\u5916\u80cc\u666f\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u64cd\u4f5c<\/strong>\uff1a\n<ul>\n<li>\u5728\u7ebf\uff1a\u9009\u62e9\u201cZoom In\u201d\u6216\u201cZoom Out\u201d\u8f68\u8ff9\u3002<\/li>\n<li>\u672c\u5730\uff1a\u8bbe\u7f6e\u00a0<code>--cam_type 5<\/code>\uff08\u653e\u5927\uff09\u6216\u00a0<code>--cam_type 6<\/code>\uff08\u7f29\u5c0f\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>4. \u6570\u636e\u589e\u5f3a<\/h4>\n<ul>\n<li><strong>\u529f\u80fd<\/strong>\uff1a\u751f\u6210\u591a\u89c6\u89d2\u89c6\u9891\uff0c\u7528\u4e8e\u81ea\u52a8\u9a7e\u9a76\u6216\u673a\u5668\u4eba\u8bad\u7ec3\u3002<\/li>\n<li><strong>\u64cd\u4f5c<\/strong>\uff1a\n<ul>\n<li>\u4e0a\u4f20\u89c6\u9891\uff0c\u6279\u91cf\u9009\u62e9\u591a\u79cd\u8f68\u8ff9\u3002<\/li>\n<li>\u6216\u7528\u6570\u636e\u96c6\u76f4\u63a5\u8bad\u7ec3\u6a21\u578b\uff0c\u751f\u6210\u591a\u6837\u5316\u6570\u636e\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u793a\u4f8b<\/strong>\uff1a\u4e3a\u81ea\u52a8\u9a7e\u9a76\u6a21\u578b\u751f\u6210\u73af\u7ed5\u89c6\u89d2\u7684\u8def\u51b5\u89c6\u9891\u3002<\/li>\n<\/ul>\n<h3>\u5e38\u89c1\u95ee\u9898\u89e3\u51b3<\/h3>\n<ul>\n<li><strong>\u7ed3\u679c\u5ef6\u8fdf<\/strong>\uff1a\u68c0\u67e5\u5783\u573e\u90ae\u4ef6\uff0c\u6216\u8054\u7cfb\u00a0<code>jianhongbai@zju.edu.cn<\/code>\u3002<\/li>\n<li><strong>\u6548\u679c\u4e0d\u4f73<\/strong>\uff1a\u786e\u4fdd\u89c6\u9891\u5e27\u6570\u8db3\u591f\uff08\u81f3\u5c11 81 \u5e27\uff09\uff0c\u573a\u666f\u52a8\u6001\u4e30\u5bcc\u3002<\/li>\n<li><strong>\u672c\u5730\u62a5\u9519<\/strong>\uff1a\u9a8c\u8bc1 Python \u7248\u672c\uff083.10\uff09\u3001Rust \u5b89\u88c5\uff0c\u6216\u66f4\u65b0\u4f9d\u8d56\u3002<\/li>\n<li><strong>\u6a21\u578b\u6743\u91cd\u7f3a\u5931<\/strong>\uff1a\u4ece Hugging Face \u4e0b\u8f7d\u6b63\u786e\u6587\u4ef6\uff0c\u68c0\u67e5\u8def\u5f84\u3002<\/li>\n<\/ul>\n<p>ReCamMaster \u64cd\u4f5c\u7b80\u5355\uff0c\u5c24\u5176\u5728\u7ebf\u8bd5\u7528\u9002\u5408\u65b0\u624b\u3002\u6570\u636e\u96c6\u4e3a\u7814\u7a76\u4eba\u5458\u63d0\u4f9b\u4e86\u4e30\u5bcc\u8d44\u6e90\uff0c\u672a\u6765\u529f\u80fd\u6269\u5c55\u503c\u5f97\u671f\u5f85\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u89c6\u9891\u521b\u4f5c<\/strong><br \/>\nReCamMaster 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