{"id":30865,"date":"2025-05-05T19:20:40","date_gmt":"2025-05-05T11:20:40","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=30865"},"modified":"2025-05-05T19:20:40","modified_gmt":"2025-05-05T11:20:40","slug":"describe-anything","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/de\/describe-anything\/","title":{"rendered":"Describe Anything\uff1a\u4e3a\u56fe\u50cf\u548c\u89c6\u9891\u533a\u57df\u751f\u6210\u8be6\u7ec6\u63cf\u8ff0\u7684\u5f00\u6e90\u5de5\u5177"},"content":{"rendered":"<p>Describe Anything \u662f\u7531 NVIDIA \u548c\u591a\u6240\u5927\u5b66\u8054\u5408\u5f00\u53d1\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u6838\u5fc3\u662f Describe Anything Model\uff08DAM\uff09\u3002\u8fd9\u4e2a\u5de5\u5177\u80fd\u6839\u636e\u7528\u6237\u5728\u56fe\u50cf\u6216\u89c6\u9891\u4e2d\u6807\u8bb0\u7684\u533a\u57df\uff08\u5982\u70b9\u3001\u6846\u3001\u6d82\u9e26\u6216\u63a9\u7801\uff09\uff0c\u751f\u6210\u8be6\u7ec6\u7684\u63cf\u8ff0\u3002\u5b83\u4e0d\u4ec5\u80fd\u63cf\u8ff0\u9759\u6001\u56fe\u50cf\u7684\u7ec6\u8282\uff0c\u8fd8\u80fd\u6355\u6349\u89c6\u9891\u4e2d\u533a\u57df\u968f\u65f6\u95f4\u7684\u53d8\u5316\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-30866\" title=\"Describe Anything\uff1a\u4e3a\u56fe\u50cf\u548c\u89c6\u9891\u533a\u57df\u751f\u6210\u8be6\u7ec6\u63cf\u8ff0\u7684\u5f00\u6e90\u5de5\u5177-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/00c7f1e15f1b821.jpg\" alt=\"Describe Anything\uff1a\u4e3a\u56fe\u50cf\u548c\u89c6\u9891\u533a\u57df\u751f\u6210\u8be6\u7ec6\u63cf\u8ff0\u7684\u5f00\u6e90\u5de5\u5177-1\" width=\"2560\" height=\"956\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u652f\u6301\u591a\u79cd\u533a\u57df\u6807\u6ce8\u65b9\u5f0f\uff1a\u7528\u6237\u53ef\u901a\u8fc7\u70b9\u3001\u6846\u3001\u6d82\u9e26\u6216\u63a9\u7801\u6307\u5b9a\u56fe\u50cf\u6216\u89c6\u9891\u7684\u63cf\u8ff0\u533a\u57df\u3002<\/li>\n<li>\u56fe\u50cf\u548c\u89c6\u9891\u63cf\u8ff0\uff1a\u4e3a\u9759\u6001\u56fe\u50cf\u751f\u6210\u8be6\u7ec6\u63cf\u8ff0\uff0c\u6216\u5206\u6790\u89c6\u9891\u4e2d\u7279\u5b9a\u533a\u57df\u7684\u52a8\u6001\u53d8\u5316\u3002<\/li>\n<li>\u5f00\u6e90\u6a21\u578b\u4e0e\u6570\u636e\u96c6\uff1a\u63d0\u4f9b DAM-3B \u548c DAM-3B-Video \u6a21\u578b\uff0c\u652f\u6301\u56fe\u50cf\u548c\u89c6\u9891\u8054\u5408\u5904\u7406\u3002<\/li>\n<li>\u4ea4\u4e92\u5f0f\u754c\u9762\uff1a\u901a\u8fc7 Gradio \u63d0\u4f9b\u7f51\u9875\u754c\u9762\uff0c\u5141\u8bb8\u7528\u6237\u7ed8\u5236\u63a9\u7801\u5e76\u5b9e\u65f6\u83b7\u53d6\u63cf\u8ff0\u3002<\/li>\n<li>API \u652f\u6301\uff1a\u63d0\u4f9b OpenAI \u517c\u5bb9\u7684\u670d\u52a1\u5668\u63a5\u53e3\uff0c\u65b9\u4fbf\u96c6\u6210\u5230\u5176\u4ed6\u5e94\u7528\u3002<\/li>\n<li>DLC-Bench \u8bc4\u4f30\uff1a\u5305\u542b\u4e13\u95e8\u7684\u57fa\u51c6\u6d4b\u8bd5\u5de5\u5177\uff0c\u7528\u4e8e\u8bc4\u4f30\u533a\u57df\u63cf\u8ff0\u7684\u6a21\u578b\u6027\u80fd\u3002<\/li>\n<li>SAM \u96c6\u6210\uff1a\u53ef\u9009\u96c6\u6210 Segment Anything\uff08SAM\uff09\u6a21\u578b\uff0c\u81ea\u52a8\u751f\u6210\u63a9\u7801\uff0c\u63d0\u5347\u64cd\u4f5c\u6548\u7387\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>Describe Anything \u652f\u6301\u901a\u8fc7 Python \u73af\u5883\u5b89\u88c5\uff0c\u63a8\u8350\u4f7f\u7528\u865a\u62df\u73af\u5883\u4ee5\u907f\u514d\u4f9d\u8d56\u51b2\u7a81\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u5b89\u88c5\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u521b\u5efa Python \u73af\u5883<\/strong>\uff1a<br \/>\n\u4f7f\u7528 Python 3.8 \u6216\u66f4\u9ad8\u7248\u672c\uff0c\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u865a\u62df\u73af\u5883\uff1a<\/p>\n<pre><code>python -m venv dam_env\r\nsource dam_env\/bin\/activate  # Linux\/Mac\r\ndam_env\\Scripts\\activate  # Windows<\/code><\/pre>\n<\/li>\n<\/ol>\n<ol start=\"2\">\n<li><strong>\u5b89\u88c5 Describe Anything<\/strong>\uff1a<br \/>\n\u6709\u4e24\u79cd\u5b89\u88c5\u65b9\u5f0f\uff1a<\/p>\n<ul>\n<li>\u76f4\u63a5\u901a\u8fc7 pip \u5b89\u88c5\uff1a\n<pre><code>pip install git+https:\/\/github.com\/NVlabs\/describe-anything\r\n<\/code><\/pre>\n<\/li>\n<li>\u514b\u9686\u4ed3\u5e93\u5e76\u672c\u5730\u5b89\u88c5\uff1a\n<pre><code>git clone https:\/\/github.com\/NVlabs\/describe-anything\r\ncd describe-anything\r\npip install -v .\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5b89\u88c5 Segment Anything\uff08\u53ef\u9009\uff09<\/strong>\uff1a<br \/>\n\u5982\u679c\u9700\u8981\u81ea\u52a8\u751f\u6210\u63a9\u7801\uff0c\u9700\u5b89\u88c5 SAM \u4f9d\u8d56\uff1a<\/p>\n<pre><code>cd demo\r\npip install -r requirements.txt\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong>\uff1a<br \/>\n\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u68c0\u67e5\u662f\u5426\u6210\u529f\uff1a<\/p>\n<pre><code>python -c \"from dam import DescribeAnythingModel; print('Installation successful')\"\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>Describe Anything \u63d0\u4f9b\u591a\u79cd\u4f7f\u7528\u65b9\u5f0f\uff0c\u5305\u62ec\u547d\u4ee4\u884c\u811a\u672c\u3001\u4ea4\u4e92\u5f0f\u754c\u9762\u548c API \u8c03\u7528\u3002\u4ee5\u4e0b\u662f\u4e3b\u8981\u529f\u80fd\u7684\u8be6\u7ec6\u64cd\u4f5c\u6d41\u7a0b\uff1a<\/p>\n<h4>1. \u4ea4\u4e92\u5f0f Gradio \u754c\u9762<\/h4>\n<p>Gradio \u754c\u9762\u9002\u5408\u521d\u5b66\u8005\uff0c\u5141\u8bb8\u7528\u6237\u4e0a\u4f20\u56fe\u50cf\u5e76\u624b\u52a8\u7ed8\u5236\u63a9\u7801\u4ee5\u83b7\u53d6\u63cf\u8ff0\u3002<\/p>\n<ul>\n<li><strong>\u542f\u52a8\u754c\u9762<\/strong>\uff1a<br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u542f\u52a8 Gradio \u670d\u52a1\u5668\uff1a<\/p>\n<pre><code>python demo_simple.py\r\n<\/code><\/pre>\n<p>\u547d\u4ee4\u6267\u884c\u540e\uff0c\u6d4f\u89c8\u5668\u4f1a\u6253\u5f00\u4e00\u4e2a\u672c\u5730\u7f51\u9875\uff08\u901a\u5e38\u662f\u00a0<code>http:\/\/localhost:7860<\/code>\uff09\u3002<\/li>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ol>\n<li>\u4e0a\u4f20\u56fe\u50cf\uff1a\u70b9\u51fb\u4e0a\u4f20\u6309\u94ae\uff0c\u9009\u62e9\u672c\u5730\u56fe\u50cf\u6587\u4ef6\u3002<\/li>\n<li>\u7ed8\u5236\u63a9\u7801\uff1a\u4f7f\u7528\u753b\u7b14\u5de5\u5177\u5728\u56fe\u50cf\u4e0a\u5708\u9009\u611f\u5174\u8da3\u7684\u533a\u57df\u3002<\/li>\n<li>\u83b7\u53d6\u63cf\u8ff0\uff1a\u70b9\u51fb\u63d0\u4ea4\uff0c\u7cfb\u7edf\u4f1a\u751f\u6210\u8be5\u533a\u57df\u7684\u8be6\u7ec6\u63cf\u8ff0\uff0c\u4f8b\u5982\u201c\u4e00\u53ea\u7ea2\u8272\u6bdb\u53d1\u7684\u72d7\uff0c\u6234\u7740\u94f6\u8272\u6807\u7b7e\u7684\u9879\u5708\uff0c\u6b63\u5728\u8dd1\u52a8\u201d\u3002<\/li>\n<li>\u53ef\u9009 SAM \u96c6\u6210\uff1a\u542f\u7528 SAM \u540e\uff0c\u70b9\u51fb\u56fe\u50cf\u4e0a\u7684\u70b9\uff0c\u7cfb\u7edf\u4f1a\u81ea\u52a8\u751f\u6210\u63a9\u7801\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u6ce8\u610f\u4e8b\u9879<\/strong>\uff1a\n<ul>\n<li>\u786e\u4fdd\u56fe\u50cf\u4e3a RGBA \u683c\u5f0f\uff0c\u63a9\u7801\u901a\u8fc7 alpha \u901a\u9053\u5904\u7406\u3002<\/li>\n<li>\u63cf\u8ff0\u7684\u8be6\u7ec6\u7a0b\u5ea6\u53ef\u901a\u8fc7\u8c03\u6574\u53c2\u6570\uff08\u5982\u00a0<code>max_new_tokens<\/code>\uff09\u63a7\u5236\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>2. \u547d\u4ee4\u884c\u811a\u672c<\/h4>\n<p>\u547d\u4ee4\u884c\u811a\u672c\u9002\u5408\u6279\u91cf\u5904\u7406\u6216\u5f00\u53d1\u8005\u4f7f\u7528\uff0c\u63d0\u4f9b\u66f4\u9ad8\u7684\u7075\u6d3b\u6027\u3002<\/p>\n<ul>\n<li><strong>\u56fe\u50cf\u63cf\u8ff0<\/strong>\uff1a<br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u4e3a\u56fe\u50cf\u751f\u6210\u63cf\u8ff0\uff1a<\/p>\n<pre><code>python examples\/dam_with_sam.py --image_path &lt;image_file&gt; --input_points \"[[x1,y1],[x2,y2]]\"\r\n<\/code><\/pre>\n<p>\u4f8b\u5982\uff1a<\/p>\n<pre><code>python examples\/dam_with_sam.py --image_path dog.jpg --input_points \"[[500,300]]\"\r\n<\/code><\/pre>\n<p>\u7cfb\u7edf\u4f1a\u6839\u636e\u6307\u5b9a\u70b9\u751f\u6210\u63a9\u7801\u5e76\u8f93\u51fa\u63cf\u8ff0\u3002<\/li>\n<li><strong>\u89c6\u9891\u63cf\u8ff0<\/strong>\uff1a<br \/>\n\u4f7f\u7528\u8054\u5408\u6a21\u578b\u5904\u7406\u89c6\u9891\uff1a<\/p>\n<pre><code>python examples\/query_dam_server_video.py --model describe_anything_model --server_url http:\/\/localhost:8000 --video_path &lt;video_file&gt;\r\n<\/code><\/pre>\n<p>\u4ec5\u9700\u5728\u4e00\u5e27\u4e0a\u6307\u5b9a\u533a\u57df\uff0c\u7cfb\u7edf\u4f1a\u81ea\u52a8\u8ddf\u8e2a\u5e76\u63cf\u8ff0\u533a\u57df\u53d8\u5316\u3002<\/li>\n<li><strong>\u53c2\u6570\u8c03\u6574<\/strong>\uff1a\n<ul>\n<li><code>--temperature<\/code>\uff1a\u63a7\u5236\u63cf\u8ff0\u7684\u521b\u9020\u6027\uff0c\u5efa\u8bae\u503c\u4e3a 0.2\u3002<\/li>\n<li><code>--top_p<\/code>\uff1a\u63a7\u5236\u751f\u6210\u591a\u6837\u6027\uff0c\u5efa\u8bae\u503c\u4e3a 0.9\u3002<\/li>\n<li><code>--max_new_tokens<\/code>\uff1a\u8bbe\u7f6e\u63cf\u8ff0\u7684\u6700\u5927\u957f\u5ea6\uff0c\u9ed8\u8ba4\u4e3a 512\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>3. API \u8c03\u7528<\/h4>\n<p>Describe Anything \u63d0\u4f9b OpenAI \u517c\u5bb9\u7684 API\uff0c\u9002\u5408\u96c6\u6210\u5230\u5176\u4ed6\u5e94\u7528\u3002<\/p>\n<ul>\n<li><strong>\u542f\u52a8\u670d\u52a1\u5668<\/strong>\uff1a<br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u542f\u52a8 DAM \u670d\u52a1\u5668\uff1a<\/p>\n<pre><code>python dam_server.py --model-path nvidia\/DAM-3B --conv-mode v1 --prompt-mode focal_prompt\r\n<\/code><\/pre>\n<p>\u670d\u52a1\u5668\u9ed8\u8ba4\u8fd0\u884c\u5728\u00a0<code>http:\/\/localhost:8000<\/code>\u3002<\/li>\n<li><strong>\u53d1\u9001\u8bf7\u6c42<\/strong>\uff1a<br \/>\n\u4f7f\u7528 Python \u548c OpenAI SDK \u53d1\u9001\u8bf7\u6c42\uff1a<\/p>\n<pre><code>from openai import OpenAI\r\nclient = OpenAI(base_url=\"http:\/\/localhost:8000\", api_key=\"not-needed\")\r\nresponse = client.chat.completions.create(\r\nmodel=\"describe_anything_model\",\r\nmessages=[\r\n{\"role\": \"user\", \"content\": [\r\n{\"type\": \"image_url\", \"image_url\": {\"url\": \"data:image\/png;base64,&lt;base64_image&gt;\"}},\r\n{\"type\": \"text\", \"text\": \"Describe the region in the mask\"}\r\n]}\r\n]\r\n)\r\nprint(response.choices[0].message.content)\r\n<\/code><\/pre>\n<p>\u66ff\u6362\u00a0<code>&lt;base64_image&gt;<\/code>\u00a0\u4e3a\u56fe\u50cf\u7684 Base64 \u7f16\u7801\u3002<\/li>\n<\/ul>\n<h4>4. DLC-Bench \u8bc4\u4f30<\/h4>\n<p>DLC-Bench \u662f\u7528\u4e8e\u8bc4\u4f30\u533a\u57df\u63cf\u8ff0\u6a21\u578b\u7684\u57fa\u51c6\u5de5\u5177\u3002<\/p>\n<ul>\n<li><strong>\u4e0b\u8f7d\u6570\u636e\u96c6<\/strong>\uff1a\n<pre><code>git lfs install\r\ngit clone https:\/\/huggingface.co\/datasets\/nvidia\/DLC-Bench\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8fd0\u884c\u8bc4\u4f30<\/strong>\uff1a<br \/>\n\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u751f\u6210\u6a21\u578b\u8f93\u51fa\u5e76\u8bc4\u4f30\uff1a<\/p>\n<pre><code>python get_model_outputs.py --model_type dam --model_path nvidia\/DAM-3B\r\n<\/code><\/pre>\n<p>\u7ed3\u679c\u4f1a\u7f13\u5b58\u5230\u00a0<code>model_outputs_cache\/<\/code>\u00a0\u6587\u4ef6\u5939\u3002<\/li>\n<\/ul>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<ul>\n<li><strong>Focal Prompting<\/strong>\uff1aDAM \u4f7f\u7528 Focal Prompting \u6280\u672f\uff0c\u7ed3\u5408\u5168\u5c40\u56fe\u50cf\u4e0a\u4e0b\u6587\u548c\u5c40\u90e8\u533a\u57df\u7ec6\u8282\uff0c\u751f\u6210\u66f4\u7cbe\u51c6\u7684\u63cf\u8ff0\u3002\u7528\u6237\u65e0\u9700\u624b\u52a8\u8c03\u6574\u63d0\u793a\uff0c\u7cfb\u7edf\u4f1a\u81ea\u52a8\u4f18\u5316\u3002<\/li>\n<li><strong>Gated Cross-Attention<\/strong>\uff1a\u901a\u8fc7\u95e8\u63a7\u4ea4\u53c9\u6ce8\u610f\u529b\u673a\u5236\uff0c\u6a21\u578b\u80fd\u5728\u590d\u6742\u573a\u666f\u4e2d\u805a\u7126\u4e8e\u6307\u5b9a\u533a\u57df\uff0c\u907f\u514d\u65e0\u5173\u4fe1\u606f\u7684\u5e72\u6270\u3002<\/li>\n<li><strong>\u89c6\u9891\u52a8\u6001\u63cf\u8ff0<\/strong>\uff1a\u53ea\u9700\u5728\u4e00\u5e27\u4e0a\u6807\u6ce8\u533a\u57df\uff0cDAM \u4f1a\u81ea\u52a8\u8ddf\u8e2a\u5e76\u63cf\u8ff0\u8be5\u533a\u57df\u5728\u89c6\u9891\u4e2d\u7684\u53d8\u5316\uff0c\u4f8b\u5982\u201c\u725b\u7684\u817f\u90e8\u808c\u8089\u968f\u7740\u6b65\u4f10\u6709\u529b\u79fb\u52a8\u201d\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u533b\u5b66\u5f71\u50cf\u5206\u6790<\/strong><br \/>\n\u533b\u751f\u53ef\u4f7f\u7528 Describe Anything \u6807\u6ce8\u533b\u5b66\u5f71\u50cf\uff08\u5982 CT \u6216 MRI\uff09\u4e2d\u7684\u7279\u5b9a\u533a\u57df\uff0c\u751f\u6210\u8be6\u7ec6\u63cf\u8ff0\uff0c\u5e2e\u52a9\u8bca\u65ad\u3002\u4f8b\u5982\uff0c\u6807\u6ce8\u80ba\u90e8\u5f02\u5e38\u533a\u57df\uff0c\u7cfb\u7edf\u53ef\u63cf\u8ff0\u201c\u4e00\u5757\u4e0d\u89c4\u5219\u7684\u9634\u5f71\u533a\u57df\uff0c\u8fb9\u7f18\u6a21\u7cca\uff0c\u53ef\u80fd\u4e3a\u708e\u75c7\u201d\u3002<\/li>\n<li><strong>\u57ce\u5e02\u89c4\u5212<\/strong><br \/>\n\u89c4\u5212\u5e08\u53ef\u4e0a\u4f20\u822a\u62cd\u89c6\u9891\uff0c\u6807\u6ce8\u5efa\u7b51\u6216\u9053\u8def\u533a\u57df\uff0c\u83b7\u53d6\u63cf\u8ff0\u5982\u201c\u4e00\u6761\u5bbd\u9614\u7684\u56db\u8f66\u9053\u516c\u8def\uff0c\u5468\u56f4\u6709\u5bc6\u96c6\u7684\u5546\u4e1a\u5efa\u7b51\u201d\u3002\u8fd9\u6709\u52a9\u4e8e\u5206\u6790\u57ce\u5e02\u5e03\u5c40\u3002<\/li>\n<li><strong>\u5185\u5bb9\u521b\u4f5c<\/strong><br \/>\n\u89c6\u9891\u521b\u4f5c\u8005\u53ef\u901a\u8fc7 Describe Anything \u4e3a\u89c6\u9891\u7247\u6bb5\u7684\u7279\u5b9a\u5bf9\u8c61\u751f\u6210\u63cf\u8ff0\uff0c\u5982\u201c\u4e00\u53ea\u98de\u7fd4\u7684\u9e70\uff0c\u7fc5\u8180\u5c55\u5f00\uff0c\u80cc\u666f\u662f\u96ea\u5c71\u201d\u3002\u8fd9\u4e9b\u63cf\u8ff0\u53ef\u7528\u4e8e\u5b57\u5e55\u6216\u811a\u672c\u521b\u4f5c\u3002<\/li>\n<li><strong>\u6570\u636e\u6807\u6ce8<\/strong><br \/>\n\u6570\u636e\u79d1\u5b66\u5bb6\u53ef\u5229\u7528 DAM \u81ea\u52a8\u4e3a\u56fe\u50cf\u6216\u89c6\u9891\u4e2d\u7684\u5bf9\u8c61\u751f\u6210\u63cf\u8ff0\uff0c\u51cf\u5c11\u4eba\u5de5\u6807\u6ce8\u7684\u5de5\u4f5c\u91cf\u3002\u4f8b\u5982\uff0c\u6807\u6ce8\u6570\u636e\u96c6\u4e2d\u7684\u8f66\u8f86\uff0c\u751f\u6210\u201c\u7ea2\u8272\u8f7f\u8f66\uff0c\u524d\u706f\u5f00\u542f\u201d\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>Describe Anything \u652f\u6301\u54ea\u4e9b\u8f93\u5165\u683c\u5f0f\uff1f<\/strong><br \/>\n\u652f\u6301 PNG\u3001JPEG \u7b49\u5e38\u89c1\u56fe\u50cf\u683c\u5f0f\uff0c\u4ee5\u53ca MP4 \u7b49\u89c6\u9891\u683c\u5f0f\u3002\u56fe\u50cf\u9700\u4e3a RGBA \u6a21\u5f0f\uff0c\u63a9\u7801\u901a\u8fc7 alpha \u901a\u9053\u6307\u5b9a\u3002<\/li>\n<li><strong>\u5982\u4f55\u63d0\u9ad8\u63cf\u8ff0\u7684\u51c6\u786e\u6027\uff1f<\/strong><br \/>\n\u4f7f\u7528\u66f4\u7cbe\u786e\u7684\u63a9\u7801\uff08\u5982\u901a\u8fc7 SAM \u81ea\u52a8\u751f\u6210\uff09\uff0c\u5e76\u8c03\u6574\u00a0<code>temperature<\/code>\u00a0\u548c\u00a0<code>top_p<\/code>\u00a0\u53c2\u6570\u4ee5\u63a7\u5236\u63cf\u8ff0\u7684\u521b\u9020\u6027\u548c\u591a\u6837\u6027\u3002<\/li>\n<li><strong>\u662f\u5426\u9700\u8981 GPU \u8fd0\u884c\uff1f<\/strong><br \/>\n\u63a8\u8350\u4f7f\u7528 NVIDIA GPU\uff08\u5982 RTX 3090\uff09\u4ee5\u52a0\u901f\u63a8\u7406\uff0c\u4f46 CPU \u4e5f\u53ef\u8fd0\u884c\uff0c\u901f\u5ea6\u8f83\u6162\u3002<\/li>\n<li><strong>\u5982\u4f55\u5904\u7406\u89c6\u9891\u4e2d\u7684\u591a\u5e27\u63cf\u8ff0\uff1f<\/strong><br \/>\n\u53ea\u9700\u5728\u4e00\u5e27\u4e0a\u6807\u6ce8\u533a\u57df\uff0cDAM \u4f1a\u81ea\u52a8\u8ddf\u8e2a\u5e76\u63cf\u8ff0\u8be5\u533a\u57df\u5728\u540e\u7eed\u5e27\u4e2d\u7684\u53d8\u5316\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Describe Anything \u662f\u7531 NVIDIA \u548c\u591a\u6240\u5927\u5b66\u8054\u5408\u5f00\u53d1\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u6838\u5fc3\u662f Describe Anything Model\uff08DAM\uff09\u3002\u8fd9\u4e2a\u5de5\u5177\u80fd\u6839\u636e\u7528\u6237\u5728\u56fe\u50cf\u6216\u89c6\u9891\u4e2d\u6807\u8bb0\u7684\u533a\u57df\uff08\u5982\u70b9\u3001\u6846\u3001\u6d82\u9e26\u6216\u63a9\u7801\uff09\uff0c\u751f\u6210\u8be6\u7ec6\u7684\u63cf\u8ff0\u3002\u5b83\u4e0d&#8230;<\/p>\n","protected":false},"author":1,"featured_media":62315,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,378],"class_list":["post-30865","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-shijuemubiaojiance"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts\/30865","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/comments?post=30865"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts\/30865\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/media\/62315"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/media?parent=30865"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/categories?post=30865"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/tags?post=30865"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}