{"id":29524,"date":"2025-03-28T23:03:26","date_gmt":"2025-03-28T15:03:26","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=29524"},"modified":"2025-03-28T23:03:26","modified_gmt":"2025-03-28T15:03:26","slug":"triposf","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/triposf\/","title":{"rendered":"TripoSF\uff1a\u5feb\u901f\u751f\u6210\u9ad8\u5206\u8fa8\u73873D\u6a21\u578b\u7684\u5b9e\u7528\u5de5\u5177"},"content":{"rendered":"<p>TripoSF \u662f VAST-AI-Research \u56e2\u961f\u6253\u9020\u7684\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u4e13\u95e8\u7528\u6765\u4ece\u5355\u5f20\u56fe\u50cf\u5feb\u901f\u751f\u6210\u9ad8\u5206\u8fa8\u7387\u7684 3D \u6a21\u578b\u3002\u5b83\u7528\u4e86\u4e00\u79cd\u53eb SparseFlex \u7684\u6280\u672f\uff0c\u5904\u7406\u6548\u7387\u9ad8\uff0c\u80fd\u5728\u666e\u901a\u8bbe\u5907\u4e0a\u8dd1\u8d77\u6765\u3002TripoSF \u7684\u4ee3\u7801\u548c\u9884\u8bad\u7ec3\u6a21\u578b\u90fd\u653e\u5728 GitHub \u4e0a\uff0c\u514d\u8d39\u5f00\u653e\uff0c\u5b89\u88c5\u7b80\u5355\u3002\u5b83\u9002\u5408\u9700\u8981\u5feb\u901f\u628a\u5e73\u9762\u56fe\u50cf\u53d8\u6210 3D \u8d44\u4ea7\u7684\u4eba\uff0c\u6bd4\u5982\u5f00\u53d1\u8005\u3001\u7814\u7a76\u4eba\u5458\u6216\u8005\u521b\u4f5c\u8005\u3002\u76f8\u6bd4\u5176\u4ed6\u5de5\u5177\uff0cTripoSF \u66f4\u6ce8\u91cd\u5b9e\u7528\u6027\u548c\u901f\u5ea6\uff0c\u662f 3D \u751f\u6210\u9886\u57df\u7684\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u9009\u62e9\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-29525\" title=\"TripoSF\uff1a\u5feb\u901f\u751f\u6210\u9ad8\u5206\u8fa8\u73873D\u6a21\u578b\u7684\u5b9e\u7528\u5de5\u5177-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/e79f64ee40c5342.png\" alt=\"TripoSF\uff1a\u5feb\u901f\u751f\u6210\u9ad8\u5206\u8fa8\u73873D\u6a21\u578b\u7684\u5b9e\u7528\u5de5\u5177-1\" width=\"1049\" height=\"450\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/e79f64ee40c5342.png 1049w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/e79f64ee40c5342-768x329.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/e79f64ee40c5342-18x8.png 18w\" sizes=\"auto, (max-width: 1049px) 100vw, 1049px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u4ece\u4e00\u5f20\u56fe\u50cf\u5feb\u901f\u751f\u6210\u9ad8\u5206\u8fa8\u7387 3D \u6a21\u578b\u3002<\/li>\n<li>\u652f\u6301\u8f93\u51fa OBJ\u3001GLB \u7b49\u591a\u79cd 3D \u6587\u4ef6\u683c\u5f0f\u3002<\/li>\n<li>\u63d0\u4f9b\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u5f00\u7bb1\u5373\u7528\u3002<\/li>\n<li>\u5141\u8bb8\u8c03\u6574\u5206\u8fa8\u7387\u548c\u5185\u5b58\u53c2\u6570\uff0c\u7075\u6d3b\u63a7\u5236\u751f\u6210\u6548\u679c\u3002<\/li>\n<li>\u5f00\u6e90\u4ee3\u7801\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u4fee\u6539\u548c\u6269\u5c55\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>TripoSF \u7684\u5b89\u88c5\u548c\u64cd\u4f5c\u90fd\u5f88\u76f4\u63a5\u3002\u4e0b\u9762\u8be6\u7ec6\u8bb2\u8bb2\u600e\u4e48\u88c5\u3001\u600e\u4e48\u7528\uff0c\u8ba9\u4f60\u80fd\u9a6c\u4e0a\u5f00\u59cb\u751f\u6210 3D \u6a21\u578b\u3002<\/p>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<ol>\n<li><strong>\u68c0\u67e5 Python \u73af\u5883<\/strong><br \/>\nTripoSF \u9700\u8981 Python 3.8 \u6216\u66f4\u9ad8\u7248\u672c\u3002\u5148\u5728\u547d\u4ee4\u884c\u8f93\u5165\uff1a<\/li>\n<\/ol>\n<pre><code>python --version\r\n<\/code><\/pre>\n<p>\u5982\u679c\u6ca1\u88c5 Python\uff0c\u53bb\u00a0Python \u5b98\u7f51\u00a0\u4e0b\u8f7d\u5b89\u88c5\u3002<\/p>\n<ol start=\"2\">\n<li><strong>\u4e0b\u8f7d\u4ee3\u7801<\/strong><br \/>\n\u6253\u5f00\u00a0TripoSF \u7684 GitHub \u9875\u9762\uff0c\u70b9\u201cCode\u201d\uff0c\u590d\u5236\u94fe\u63a5\uff0c\u7136\u540e\u5728\u547d\u4ee4\u884c\u8dd1\uff1a<\/li>\n<\/ol>\n<pre><code>git clone https:\/\/github.com\/VAST-AI-Research\/TripoSF.git\r\n<\/code><\/pre>\n<p>\u6ca1\u88c5 Git \u7684\u8bdd\uff0c\u5148\u88c5\u4e00\u4e0b Git\u3002<\/p>\n<ol start=\"3\">\n<li><strong>\u5b89\u88c5\u4f9d\u8d56\u5e93<\/strong><br \/>\n\u8fdb\u5165 TripoSF \u6587\u4ef6\u5939\uff1a<\/li>\n<\/ol>\n<pre><code>cd TripoSF\r\n<\/code><\/pre>\n<p>\u7136\u540e\u8fd0\u884c\uff1a<\/p>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<p>\u8fd9\u4f1a\u88c5\u4e0a PyTorch \u7b49\u5fc5\u8981\u5e93\u3002\u5982\u679c\u6709 GPU\uff0c\u5efa\u8bae\u88c5\u652f\u6301 CUDA \u7684 PyTorch\uff0c\u901f\u5ea6\u66f4\u5feb\u3002<\/p>\n<ol start=\"4\">\n<li><strong>\u83b7\u53d6\u9884\u8bad\u7ec3\u6a21\u578b<\/strong><br \/>\nGitHub \u9875\u9762\u4f1a\u63d0\u4f9b\u6a21\u578b\u4e0b\u8f7d\u94fe\u63a5\u3002\u4e0b\u8f7d\u540e\uff0c\u628a\u6587\u4ef6\u653e\u8fdb\u9879\u76ee\u91cc\u7684\u00a0<code>checkpoints\/<\/code>\u00a0\u6587\u4ef6\u5939\uff08\u5177\u4f53\u8def\u5f84\u770b\u6587\u6863\uff09\u3002<\/li>\n<li><strong>\u6d4b\u8bd5\u4e00\u4e0b<\/strong><br \/>\n\u88c5\u597d\u540e\uff0c\u8bd5\u8bd5\u8fd9\u4e2a\u547d\u4ee4\uff1a<\/li>\n<\/ol>\n<pre><code>python run.py --image test.jpg --output-dir output\/\r\n<\/code><\/pre>\n<p>\u6ca1\u62a5\u9519\u5c31\u8bf4\u660e\u53ef\u4ee5\u7528\u4e86\u3002<\/p>\n<h3>\u64cd\u4f5c\u6b65\u9aa4<\/h3>\n<p>TripoSF \u7684\u6838\u5fc3\u662f\u628a\u56fe\u50cf\u53d8\u6210 3D \u6a21\u578b\uff0c\u64cd\u4f5c\u5f88\u7b80\u5355\uff1a<\/p>\n<ol>\n<li><strong>\u51c6\u5907\u56fe\u50cf<\/strong><br \/>\n\u627e\u4e00\u5f20\u6e05\u6670\u7684\u56fe\u7247\uff0c\u6700\u597d\u7269\u4f53\u5728\u4e2d\u95f4\uff0c\u80cc\u666f\u522b\u592a\u4e71\u3002\u652f\u6301 JPG\u3001PNG \u683c\u5f0f\u3002\u628a\u56fe\u7247\u653e\u8fdb\u9879\u76ee\u6587\u4ef6\u5939\uff0c\u6216\u8005\u8bb0\u597d\u8def\u5f84\u3002<\/li>\n<li><strong>\u751f\u6210 3D \u6a21\u578b<\/strong><br \/>\n\u5728\u547d\u4ee4\u884c\u8f93\u5165\uff1a<\/li>\n<\/ol>\n<pre><code>python run.py --image your_image.jpg --output-dir output\/\r\n<\/code><\/pre>\n<ul>\n<li><code>--image<\/code>\u00a0\u662f\u56fe\u7247\u8def\u5f84\u3002<\/li>\n<li><code>--output-dir<\/code>\u00a0\u662f\u4fdd\u5b58\u7ed3\u679c\u7684\u6587\u4ef6\u5939\u3002<br \/>\n\u8dd1\u5b8c\u540e\uff0c3D \u6a21\u578b\u5c31\u751f\u6210\u597d\u4e86\u3002<\/li>\n<\/ul>\n<ol start=\"3\">\n<li><strong>\u8c03\u6574\u6548\u679c\uff08\u53ef\u9009\uff09<\/strong><br \/>\n\u60f3\u6539\u7ec6\u8282\u53ef\u4ee5\u7528\u53c2\u6570\uff1a<\/li>\n<\/ol>\n<ul>\n<li><code>--mc-resolution<\/code>\uff1a\u8c03\u5206\u8fa8\u7387\uff0c\u9ed8\u8ba4 256\u3002\u503c\u8d8a\u5927\uff0c\u6a21\u578b\u8d8a\u7ec6\u817b\u3002<\/li>\n<li><code>--chunk-size<\/code>\uff1a\u63a7\u5236\u5185\u5b58\u7528\u91cf\uff0c\u503c\u5c0f\u70b9\u7701\u5185\u5b58\u3002<br \/>\n\u793a\u4f8b\uff1a<\/li>\n<\/ul>\n<pre><code>python run.py --image your_image.jpg --output-dir output\/ --mc-resolution 512\r\n<\/code><\/pre>\n<ol start=\"4\">\n<li><strong>\u67e5\u770b\u6a21\u578b<\/strong><br \/>\n\u751f\u6210\u7684\u6587\u4ef6\u5728\u00a0<code>output\/<\/code>\u00a0\u6587\u4ef6\u5939\u91cc\uff0c\u9ed8\u8ba4\u662f OBJ \u683c\u5f0f\u3002\u7528 Blender \u6216\u8005\u5176\u4ed6 3D \u8f6f\u4ef6\u6253\u5f00\u770b\u770b\u3002\u60f3\u8981 GLB \u683c\u5f0f\u5c31\u52a0\u53c2\u6570\uff1a<\/li>\n<\/ol>\n<pre><code>python run.py --image your_image.jpg --output-dir output\/ --model-save-format glb\r\n<\/code><\/pre>\n<ol start=\"5\">\n<li><strong>\u8dd1\u5728 CPU \u4e0a\uff08\u53ef\u9009\uff09<\/strong><br \/>\n\u6ca1 GPU \u4e5f\u80fd\u7528\uff0c\u6539\u6210 CPU \u6a21\u5f0f\uff1a<\/li>\n<\/ol>\n<pre><code>python run.py --image your_image.jpg --output-dir output\/ --device cpu\r\n<\/code><\/pre>\n<p>\u901f\u5ea6\u4f1a\u6162\u70b9\uff0c\u4f46\u4e00\u6837\u80fd\u51fa\u7ed3\u679c\u3002<\/p>\n<h3>\u5c0f\u8d34\u58eb<\/h3>\n<ul>\n<li>\u56fe\u50cf\u8d28\u91cf\u5f71\u54cd\u7ed3\u679c\uff0c\u5c3d\u91cf\u7528\u9ad8\u6e05\u56fe\u3002<\/li>\n<li>\u5185\u5b58\u4e0d\u591f\u65f6\uff0c\u8c03\u5c0f\u00a0<code>--chunk-size<\/code>\u3002<\/li>\n<li>\u66f4\u591a\u7528\u6cd5\u53ef\u4ee5\u7528\u00a0<code>python run.py --help<\/code>\u00a0\u67e5\u770b\u3002<\/li>\n<\/ul>\n<p>TripoSF \u64cd\u4f5c\u7b80\u5355\uff0c\u8dd1\u5f97\u5feb\uff0c\u51e0\u5206\u949f\u5c31\u80fd\u628a\u56fe\u7247\u53d8\u6210 3D \u6a21\u578b\uff0c\u975e\u5e38\u9002\u5408\u5feb\u901f\u5b9e\u9a8c\u548c\u521b\u4f5c\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u6e38\u620f\u8d44\u4ea7\u5236\u4f5c<\/strong><br \/>\n\u6e38\u620f\u5f00\u53d1\u8005\u53ef\u4ee5\u7528 TripoSF \u628a\u8bbe\u8ba1\u56fe\u5feb\u901f\u53d8\u6210 3D \u6a21\u578b\uff0c\u6bd4\u5982\u4e00\u5f20\u6b66\u5668\u8349\u56fe\u76f4\u63a5\u751f\u6210\u53ef\u7528\u7684\u6e38\u620f\u9053\u5177\u3002<\/li>\n<li><strong>\u6559\u5b66\u6f14\u793a<\/strong><br \/>\n\u8001\u5e08\u53ef\u4ee5\u7528\u5b83\u628a\u5e73\u9762\u56fe\u7247\u53d8\u6210 3D \u6a21\u578b\uff0c\u6bd4\u5982\u628a\u4e00\u5f20\u52a8\u7269\u7167\u7247\u751f\u6210\u6a21\u578b\uff0c\u5c55\u793a\u7ed9\u5b66\u751f\u770b\u3002<\/li>\n<li><strong>\u539f\u578b\u8bbe\u8ba1<\/strong><br \/>\n\u8bbe\u8ba1\u5e08\u53ef\u4ee5\u7528 TripoSF \u5feb\u901f\u628a\u60f3\u6cd5\u53d8\u6210 3D \u6a21\u578b\uff0c\u6bd4\u5982\u628a\u4ea7\u54c1\u8349\u56fe\u751f\u6210\u6a21\u578b\uff0c\u6d4b\u8bd5\u5916\u89c2\u6548\u679c\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>TripoSF \u751f\u6210\u6a21\u578b\u5feb\u5417\uff1f<\/strong><br \/>\n\u5f88\u5feb\u3002\u666e\u901a\u7535\u8111\u51e0\u5206\u949f\u5c31\u80fd\u641e\u5b9a\uff0c\u6709 GPU \u7684\u8bdd\u66f4\u5feb\u3002<\/li>\n<li><strong>\u9700\u8981\u5f88\u5f3a\u7684\u7535\u8111\u5417\uff1f<\/strong><br \/>\n\u4e0d\u9700\u8981\u3002\u6ca1 GPU \u4e5f\u80fd\u8dd1\uff0c\u8c03\u4e0b\u53c2\u6570\u5c31\u884c\u3002<\/li>\n<li><strong>\u80fd\u751f\u6210\u590d\u6742\u7269\u4f53\u5417\uff1f<\/strong><br \/>\n\u53ef\u4ee5\uff0c\u4f46\u6548\u679c\u53d6\u51b3\u4e8e\u56fe\u7247\u3002\u7b80\u5355\u7269\u4f53\u6548\u679c\u66f4\u597d\uff0c\u590d\u6742\u7269\u4f53\u53ef\u80fd\u9700\u8981\u8c03\u6574\u53c2\u6570\u3002<\/li>\n<li><strong>\u548c TripoSG \u6709\u4ec0\u4e48\u533a\u522b\uff1f<\/strong><br \/>\nTripoSF \u66f4\u5feb\u66f4\u5b9e\u7528\uff0cTripoSG \u66f4\u6ce8\u91cd\u9ad8\u8d28\u91cf\u548c\u7ec6\u8282\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>TripoSF \u662f VAST-AI-Research \u56e2\u961f\u6253\u9020\u7684\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u4e13\u95e8\u7528\u6765\u4ece\u5355\u5f20\u56fe\u50cf\u5feb\u901f\u751f\u6210\u9ad8\u5206\u8fa8\u7387\u7684 3D \u6a21\u578b\u3002\u5b83\u7528\u4e86\u4e00\u79cd\u53eb SparseFlex \u7684\u6280\u672f\uff0c\u5904\u7406\u6548\u7387\u9ad8\uff0c\u80fd\u5728\u666e\u901a\u8bbe\u5907\u4e0a\u8dd1\u8d77\u6765\u3002TripoSF \u7684\u4ee3\u7801\u548c\u9884\u8bad\u7ec3\u6a21\u578b&#8230;<\/p>\n","protected":false},"author":1,"featured_media":62135,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,239],"class_list":["post-29524","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-aiwenbenyutupianzhuan"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/29524","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/comments?post=29524"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/29524\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media\/62135"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media?parent=29524"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/categories?post=29524"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/tags?post=29524"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}