{"componentChunkName":"component---src-templates-acg-portal-new-template-tsx","path":"/Fms64id81","result":{"data":{"markdownRemark":{"html":"<h2 id=\"简介\"><a href=\"#%E7%AE%80%E4%BB%8B\" aria-label=\"简介 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>简介</h2>\n<p>视频二元瑕疵标注算子，基于 QwenVL 多模态大模型 + 结构化 JSON prompt 对视频做多标签二值打标（每个 artifact 标签输出 0/1），是 SILA 自训 tagger 的冷启动版。用于 SILA §5 步骤 ④ 100 binary tags 过滤。</p>\n<h3 id=\"功能描述\"><a href=\"#%E5%8A%9F%E8%83%BD%E6%8F%8F%E8%BF%B0\" aria-label=\"功能描述 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>功能描述</h3>\n<p>• 默认给出 20 个高价值 artifact 标签（split_screen / rotation / static_camera / text_overlay / motion_blur 等），可通过 <code>tags</code> 参数扩展到 100 个。</p>\n<p>• 用 Qwen2.5-VL 对视频抽帧推理，要求模型输出一行 JSON（key 为标签名、value 为 0/1），再解析为标签 → 布尔映射。</p>\n<p>• 支持 vLLM / transformers 双后端，<code>backend=\"auto\"</code> 时按 GPU 算力自动选择（sm_120 及以上回退 transformers）。</p>\n<p>• 需 CUDA GPU，权重需预置于 <code>{model_path}/{model_name}</code>，不自动下载；解析失败或异常时返回全 False。</p>\n<h2 id=\"算子参数\"><a href=\"#%E7%AE%97%E5%AD%90%E5%8F%82%E6%95%B0\" aria-label=\"算子参数 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>算子参数</h2>\n<h3 id=\"输入\"><a href=\"#%E8%BE%93%E5%85%A5\" aria-label=\"输入 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>输入</h3>\n<table>\n<thead>\n<tr>\n<th>输入</th>\n<th>含义</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>videos</td>\n<td>视频（URL/base64/binary，由 <code>video_src_type</code> 决定），单个输入列</td>\n</tr>\n</tbody>\n</table>\n<h3 id=\"输出\"><a href=\"#%E8%BE%93%E5%87%BA\" aria-label=\"输出 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>输出</h3>\n<table>\n<thead>\n<tr>\n<th>输出</th>\n<th>含义</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>result</td>\n<td><code>pa.map_(pa.string(), pa.bool_())</code>，标签名 → 0/1 的映射</td>\n</tr>\n</tbody>\n</table>\n<h3 id=\"参数\"><a href=\"#%E5%8F%82%E6%95%B0\" aria-label=\"参数 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>参数</h3>\n<table>\n<thead>\n<tr>\n<th>参数名称</th>\n<th>类型</th>\n<th>默认值</th>\n<th>描述</th>\n<th></th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>video_src_type</td>\n<td>str</td>\n<td>\"video_url\"</td>\n<td>视频输入类型，可选 \"video_url\"/\"video_base64\"/\"video_binary\"</td>\n<td></td>\n</tr>\n<tr>\n<td>model_path</td>\n<td>str</td>\n<td>\"/opt/aihc/models\"</td>\n<td>模型权重根目录</td>\n<td></td>\n</tr>\n<tr>\n<td>model_name</td>\n<td>str</td>\n<td>\"Qwen/Qwen2.5-VL-7B-Instruct\"</td>\n<td>VLM 权重子目录（相对 model_path）</td>\n<td></td>\n</tr>\n<tr>\n<td>tags</td>\n<td>list[str] |None</td>\n<td>None</td>\n<td>artifact 标签列表；None 时使用内置 20 个默认标签，须非空</td>\n<td></td>\n</tr>\n<tr>\n<td>dtype</td>\n<td>str</td>\n<td>\"auto\"</td>\n<td>推理精度，\"auto\" 时按 bf16 支持情况选 bfloat16/float16</td>\n<td></td>\n</tr>\n<tr>\n<td>max_model_len</td>\n<td>int</td>\n<td>8000</td>\n<td>模型最大上下文长度</td>\n<td></td>\n</tr>\n<tr>\n<td>max_pixels</td>\n<td>int |None</td>\n<td>1280000</td>\n<td>视频帧最大像素数</td>\n<td></td>\n</tr>\n<tr>\n<td>fps</td>\n<td>float |None</td>\n<td>1.0</td>\n<td>视频抽帧帧率</td>\n<td></td>\n</tr>\n<tr>\n<td>tensor_parallel_size</td>\n<td>int</td>\n<td>1</td>\n<td>张量并行数（vLLM）</td>\n<td></td>\n</tr>\n<tr>\n<td>gpu_memory_utilization</td>\n<td>float</td>\n<td>0.85</td>\n<td>vLLM 显存占用比例</td>\n<td></td>\n</tr>\n<tr>\n<td>enforce_eager</td>\n<td>bool</td>\n<td>False</td>\n<td>vLLM 是否强制 eager 模式</td>\n<td></td>\n</tr>\n<tr>\n<td>temperature</td>\n<td>float</td>\n<td>0.0</td>\n<td>采样温度</td>\n<td></td>\n</tr>\n<tr>\n<td>top_p</td>\n<td>float</td>\n<td>0.95</td>\n<td>采样 top_p</td>\n<td></td>\n</tr>\n<tr>\n<td>max_tokens</td>\n<td>int</td>\n<td>512</td>\n<td>生成最大 token 数</td>\n<td></td>\n</tr>\n<tr>\n<td>seed</td>\n<td>int</td>\n<td>42</td>\n<td>随机种子</td>\n<td></td>\n</tr>\n<tr>\n<td>backend</td>\n<td>str</td>\n<td>\"auto\"</td>\n<td>后端，可选 \"auto\"/\"vllm\"/\"transformers\"</td>\n<td></td>\n</tr>\n<tr>\n<td>fail_on_error</td>\n<td>bool</td>\n<td>False</td>\n<td>单行出错是否立即抛异常，默认 False 返回全 False</td>\n<td></td>\n</tr>\n</tbody>\n</table>\n<h2 id=\"调用示例\"><a href=\"#%E8%B0%83%E7%94%A8%E7%A4%BA%E4%BE%8B\" aria-label=\"调用示例 permalink\" class=\"anchor\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" version=\"1.1\" viewBox=\"0 0 16 16\" width=\"16\"><path fill-rule=\"evenodd\" d=\"M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z\"></path></svg></a>调用示例</h2>\n\n    <div class=\"code-block-wrapper\">\n        <div class=\"code-block\">\n            <div class=\"code-block-header\">\n                <span class=\"code-block-name\">Python</span>\n                <button class=\"code-copy-btn\" data-tooltip-text=\"\">\n                    <svg xmlns=\"http://www.w3.org/2000/svg\" width=\"16\" height=\"16\" viewBox=\"0 0 16 16\" fill=\"none\"> <path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M5.57894 3.45614C5.57894 3.38832 5.63392 3.33333 5.70175 3.33333H12.5439C12.6117 3.33333 12.6667 3.38832 12.6667 3.45614V10.2982C12.6667 10.3661 12.6117 10.4211 12.5439 10.4211H11.7544V5.70175C11.7544 4.89754 11.1025 4.24561 10.2982 4.24561H5.57894V3.45614ZM4.24561 4.24561V3.45614C4.24561 2.65194 4.89754 2 5.70175 2H12.5439C13.3481 2 14 2.65194 14 3.45614V10.2982C14 11.1025 13.3481 11.7544 12.5439 11.7544H11.7544V12.5439C11.7544 13.3481 11.1025 14 10.2982 14H3.45614C2.65194 14 2 13.3481 2 12.5439V5.70175C2 4.89754 2.65194 4.24561 3.45614 4.24561H4.24561ZM3.33333 5.70175C3.33333 5.63392 3.38832 5.57894 3.45614 5.57894H10.2982C10.3661 5.57894 10.4211 5.63392 10.4211 5.70175V12.5439C10.4211 12.6117 10.3661 12.6667 10.2982 12.6667H3.45614C3.38832 12.6667 3.33333 12.6117 3.33333 12.5439V5.70175Z\" fill=\"currentColor\"></path> </svg>\n                    复制\n                </button>\n            </div>\n            <div class=\"code-block-content\">\n                <pre class=\"language-python\"><code><span class=\"line-number\">1</span><span class=\"token keyword\">from</span> __future__ <span class=\"token keyword\">import</span> annotations\n<span class=\"line-number\">2</span>\n<span class=\"line-number\">3</span><span class=\"token keyword\">import</span> os\n<span class=\"line-number\">4</span>\n<span class=\"line-number\">5</span><span class=\"token keyword\">import</span> daft\n<span class=\"line-number\">6</span><span class=\"token keyword\">from</span> daft <span class=\"token keyword\">import</span> col\n<span class=\"line-number\">7</span>\n<span class=\"line-number\">8</span><span class=\"token keyword\">from</span> daft<span class=\"token punctuation\">.</span>aihc<span class=\"token punctuation\">.</span>common<span class=\"token punctuation\">.</span>udf <span class=\"token keyword\">import</span> aihc_udf\n<span class=\"line-number\">9</span><span class=\"token keyword\">from</span> daft<span class=\"token punctuation\">.</span>aihc<span class=\"token punctuation\">.</span>functions<span class=\"token punctuation\">.</span>video<span class=\"token punctuation\">.</span>video_binary_artifact_tagger <span class=\"token keyword\">import</span> VideoBinaryArtifactTagger\n<span class=\"line-number\">10</span>\n<span class=\"line-number\">11</span>VIDEO <span class=\"token operator\">=</span> <span class=\"token string\">\"bos://your-bucket/sample.mp4\"</span>  <span class=\"token comment\"># MOCK</span>\n<span class=\"line-number\">12</span>MODEL_PATH <span class=\"token operator\">=</span> <span class=\"token string\">\"/opt/aihc/models\"</span>  <span class=\"token comment\"># MOCK</span>\n<span class=\"line-number\">13</span>\n<span class=\"line-number\">14</span>os<span class=\"token punctuation\">.</span>environ<span class=\"token punctuation\">.</span>setdefault<span class=\"token punctuation\">(</span><span class=\"token string\">\"BOS_ENDPOINT\"</span><span class=\"token punctuation\">,</span> <span class=\"token string\">\"http://bj.bcebos.com\"</span><span class=\"token punctuation\">)</span>\n<span class=\"line-number\">15</span>os<span class=\"token punctuation\">.</span>environ<span class=\"token punctuation\">.</span>setdefault<span class=\"token punctuation\">(</span><span class=\"token string\">\"BOS_REGION\"</span><span class=\"token punctuation\">,</span> <span class=\"token string\">\"bj\"</span><span class=\"token punctuation\">)</span>\n<span class=\"line-number\">16</span>\n<span class=\"line-number\">17</span><span class=\"token keyword\">if</span> __name__ <span class=\"token operator\">==</span> <span class=\"token string\">\"__main__\"</span><span class=\"token punctuation\">:</span>\n<span class=\"line-number\">18</span>    <span class=\"token keyword\">if</span> os<span class=\"token punctuation\">.</span>getenv<span class=\"token punctuation\">(</span><span class=\"token string\">\"DAFT_RUNNER\"</span><span class=\"token punctuation\">,</span> <span class=\"token string\">\"native\"</span><span class=\"token punctuation\">)</span> <span class=\"token operator\">==</span> <span class=\"token string\">\"ray\"</span><span class=\"token punctuation\">:</span>\n<span class=\"line-number\">19</span>        <span class=\"token keyword\">import</span> ray\n<span class=\"line-number\">20</span>\n<span class=\"line-number\">21</span>        ray<span class=\"token punctuation\">.</span>init<span class=\"token punctuation\">(</span>ignore_reinit_error<span class=\"token operator\">=</span><span class=\"token boolean\">True</span><span class=\"token punctuation\">)</span>\n<span class=\"line-number\">22</span>        daft<span class=\"token punctuation\">.</span>set_runner_ray<span class=\"token punctuation\">(</span><span class=\"token punctuation\">)</span>\n<span class=\"line-number\">23</span>    daft<span class=\"token punctuation\">.</span>set_execution_config<span class=\"token punctuation\">(</span>actor_udf_ready_timeout<span class=\"token operator\">=</span><span class=\"token number\">6000</span><span class=\"token punctuation\">,</span> min_cpu_per_task<span class=\"token operator\">=</span><span class=\"token number\">0</span><span class=\"token punctuation\">)</span>\n<span class=\"line-number\">24</span>\n<span class=\"line-number\">25</span>    samples <span class=\"token operator\">=</span> <span class=\"token punctuation\">{</span><span class=\"token string\">\"video\"</span><span class=\"token punctuation\">:</span> <span class=\"token punctuation\">[</span>VIDEO<span class=\"token punctuation\">]</span><span class=\"token punctuation\">}</span>\n<span class=\"line-number\">26</span>    ds <span class=\"token operator\">=</span> daft<span class=\"token punctuation\">.</span>from_pydict<span class=\"token punctuation\">(</span>samples<span class=\"token punctuation\">)</span>\n<span class=\"line-number\">27</span>    ds <span class=\"token operator\">=</span> ds<span class=\"token punctuation\">.</span>with_column<span class=\"token punctuation\">(</span>\n<span class=\"line-number\">28</span>        <span class=\"token string\">\"result\"</span><span class=\"token punctuation\">,</span>\n<span class=\"line-number\">29</span>        aihc_udf<span class=\"token punctuation\">(</span>\n<span class=\"line-number\">30</span>            VideoBinaryArtifactTagger<span class=\"token punctuation\">,</span>\n<span class=\"line-number\">31</span>            construct_args<span class=\"token operator\">=</span><span class=\"token punctuation\">{</span>\n<span class=\"line-number\">32</span>                <span class=\"token string\">\"video_src_type\"</span><span class=\"token punctuation\">:</span> <span class=\"token string\">\"video_url\"</span><span class=\"token punctuation\">,</span>\n<span class=\"line-number\">33</span>                <span class=\"token string\">\"model_path\"</span><span class=\"token punctuation\">:</span> MODEL_PATH<span class=\"token punctuation\">,</span>\n<span class=\"line-number\">34</span>                <span class=\"token string\">\"model_name\"</span><span class=\"token punctuation\">:</span> <span class=\"token string\">\"Qwen/Qwen2.5-VL-7B-Instruct\"</span><span class=\"token punctuation\">,</span>\n<span class=\"line-number\">35</span>                <span class=\"token string\">\"fps\"</span><span class=\"token punctuation\">:</span> <span class=\"token number\">1.0</span><span class=\"token punctuation\">,</span>\n<span class=\"line-number\">36</span>                <span class=\"token string\">\"backend\"</span><span class=\"token punctuation\">:</span> <span class=\"token string\">\"auto\"</span><span class=\"token punctuation\">,</span>\n<span class=\"line-number\">37</span>            <span class=\"token punctuation\">}</span><span class=\"token punctuation\">,</span>\n<span class=\"line-number\">38</span>            num_cpus<span class=\"token operator\">=</span><span class=\"token number\">1</span><span class=\"token punctuation\">,</span>\n<span class=\"line-number\">39</span>            num_gpus<span class=\"token operator\">=</span><span class=\"token number\">1</span><span class=\"token punctuation\">,</span>\n<span class=\"line-number\">40</span>            concurrency<span class=\"token operator\">=</span><span class=\"token number\">1</span><span class=\"token punctuation\">,</span>\n<span class=\"line-number\">41</span>            batch_size<span class=\"token operator\">=</span><span class=\"token number\">1</span><span class=\"token punctuation\">,</span>\n<span class=\"line-number\">42</span>        <span class=\"token punctuation\">)</span><span class=\"token punctuation\">(</span>col<span class=\"token punctuation\">(</span><span class=\"token string\">\"video\"</span><span class=\"token punctuation\">)</span><span class=\"token punctuation\">)</span><span class=\"token punctuation\">,</span>\n<span class=\"line-number\">43</span>    <span class=\"token punctuation\">)</span>\n<span class=\"line-number\">44</span>    ds<span class=\"token punctuation\">.</span>show<span class=\"token punctuation\">(</span><span class=\"token punctuation\">)</span></code></pre>\n            </div>\n        </div>\n    </div>\n  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