# 元数据解析

Source: [https://docs.qualcomm.com/doc/80-70018-50SC/topic/gst-ai-metadata-parser.html](https://docs.qualcomm.com/doc/80-70018-50SC/topic/gst-ai-metadata-parser.html)

**gst-ai-metadata-parser-example** 应用程序从摄像头、文件或 RTSP 源获取实时视频流输入，并将该流传递给 YOLO 模型来执行目标检测和预览。叠加有标签和边界框的 AI 模型输出将显示在 HDMI 显示器上。提取的元数据将记录在控制台中，并用于计算帧中的人数。

图中展示了元数据解析的 pipeline。有关 pipeline 流中使用的插件的信息，请参见 [Pipeline 流](https://docs.qualcomm.com/doc/80-70018-50SC/topic/gst-ai-metadata-parser.html#gst-ai-metadata-parser__section_dvc_mcp_m2c)。

Figure : gst-ai-metadata-parser-example pipeline
            
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1S64ZqPYysJZ+KZJFXES0nWq4yfv5exOYs1WHpoUWtLSsyofIlK4OXoGzZ231fVhMW7HNG0gnU64Z5+0HOVt/GIpLoCInWZ/5n84MAW9h3ECYzycBFEIaTd9D5lO0zVeiimyhuHvQAEI2DaU5xCJfN96JKL+J3z+PRP4d6h626Ha0R/S5yvWv/m0sWs41N2o458xOaDy/BuvdoAXJIs03s7GXg+K5zzhKFPrWVbekNpx5bRRcHgTtOXhsxIb0ag6cRK3e884YAWXiHqgtA3zhWLESfcjXHFOJ4xGBAHIZgRzGG0XBu2Ij8jAlGbbkZR9FMdQJW0cZ4Y45Zj//ZGQVvGt9QYmG1uG8iBG69tkvtj3kwdzQgEiaRyW54eNO60cwEP7g6ZAjGKupBM4BX4CszpyQ8GWP2A7c8lkY/OSoXSyZE/lme/MP5wyFbKcfTVE9YoQ6ZYkorCHmIsapqx9z0R8cuKgwJo2EIK4w4Hwoo6GvBjvJ+AS121KqUd66KG8EQKQgfTYT5cyIfMWad4dMwi5lEraZ6jraGCssjQqM9q1RorKBgy+YGtm4KA/yFbCG2C6URZ8yN/hJoNF+IiTbK34bdcnm6FznFhZh/2lotPP2b0MIzBuhzJQ1qay0Jw69XjcI0id103OC4CJXv+J4nIk2rSNkI1u0udx5OHIFv1tFSHPnmI8lNc7QzR9xfwMfsp5ft07wQU1/LcyXpURk6iwkY7EYExLfIerWwHDnRrnqNC9xuNd47+ph/926hK9xJVc9L0k5yUu1g5YSVEEITHu1PHBgn/XgQuUF+naEuVZeKWOMnYD0Q1EDvl3O1MLXNprf5XSBRRA4wIoOQ5qol2n4sSItJGFupkI4wN1coCPscQCq44HCw/ptEossa20mpRY97l6DtjNCV+QJR+w2UiRti3r0FzYEKuMkgYkbGxCHlHE6MvOmAKLzq56JwSrpGztvpLOC8w0mN9Ozms0J0Eh48In9YBeNqi3ikTP0UWVaWYnwreZN9EdpRk5imbSvJ2HqPd3jpint4PI2gFlBFJII34+X88IAAAAwWh4BDQUCgdxK98cfmZAcKLJWhTpHpYKqfaWHJpdwNW2pSk9gwUhinbMeGy9VpWy2X2bZZOzP1297cgs6cS8CSza++j45hxWJwpQqN1OUwYaR3uH+YcGEzp6QHrMls8BV+LMSmWz2w+Z61lMhsKvLdTmHsSo1isZ0vpQ8/MP4oPIDxYwlKiOL6iyRwwlFxFcGcw4ipK7G8/gbaMcjPXw4MpTHYmqRy+bACw2w7ROluZ7embEkmqfhMZ2fn5nIk7VfIsei8UIdNeGfdVMINDqpRckCs1yfkr9eZh7Cbn5Q++elf/hWzk9okLY1jJmy/UM8H/R8AQapVkovxoDRhMU4mctZdI5l8WzsAppuO29E9f3tpVrqqEMpYJgp/d2Qp0Ns6g2sv3QsJ0czn/ZbgvBmaDPiH6NA4DZ0a+bsGLcZZ48x17Jn7+Bwkw9mHAdYDKLq7J1r08NHmmXir34xY7osA+Fc6Z89xR3dvUjSvv9LXnO8GXdRYFgJ0B7REerUtadcc1r9Xc38XHhUlaK1CfoCfhg5WmWuKA3ZcAobC9osQx/CoCkm5OUYhsTYyX3KEOwGvuvBe4MyYmI5cOSroB6udfsxOtU0CnmVs201gj1L/P0KfNdR6RmcSeJ+QODMAPHLNGwCh5MVlQG4+zXkdaff1S19eWTuTpqMChKbqK1khjy4vgcaatGp9pNlWCNiDD0sQ42uv8MWgWVmh771NXqIgh8aba+jANZxpBFOeHLNyaaduwylWKGAhsdeEmQ+Hr2lOV0V52dZi1/VRMUwT76xyKW3cGiWvYqT+QRS+VZILW7q8qWPok3DBaE26MkAi/02vA7Hg49olhl+O+p3rK+K3tgc5nQKBw5xfogTuz0QxVLt53sDZVxOECGm9aJ0haiFCDDG/v5GOkZphxy9zJjmx3+M45JASAQTGAmEUr+7dk66dAUiIc0fMCVh1pNQfucC1PdOMUs8d7q5kSm+zs/Jlx49BLZc8YjVn7M1TEe0gcH34Fa5pBV3KAA/JqtTHpYzmX6+Gbc0mxpomoAuuQ+acSpePLLQ6VVTrcRy6BAMrvTWl5XkNPkXqCiDLzMsr4w0QW6i5SCFcjo75gmqtXo2B3VUg177grOj7lTZVKkC3PKkJQ0fZPW0nKBufuWM7umfYUcX2uAzO6A5rtdHhpXsdNV3pWJUoD8YyNDOEHFafj/mqMYZGvtS30OmXnmQByPYlSJwSUtAPv66rwYHzy2PxpimMvgKEfr60fpcNkWcxxdJGb724SxzAX255aCCoTy6+bqJTwAAAAABZdGEGx0Q1GeAKAr1lPrOyrhoiQFA81orKAOWYxQ30DMnLztSCVuKJ9+2cm60JE/2joTLS6fqG3qkRErMtTrPlRU5Au5c4RwuKuCxL7rX8eyyw7RjjTE5U2BP+OzrWv6Fy9I/FTNVi6gVX3kwae0/E/VKz6wS1juvy99DEaKTE+uRED/XZFDsOY1U1aj5jspbvjq53wwpQiMHRjg3bDfuN4Bt3XTeYoSJ4R55yS3tkc5+8O1jdO+khPg4yq+9BIBCJUTnsAyLLS8vjGSSjyBQQHzZ/rVbxFhLZIJe/3XdkjEo5v7HRM8PFE1V6SZ2KCJn0Nei0PJ1fsStzmEhbD+tXgoxAXXynlZMzMqCNhEbem2JetrNccdUg1ZDJDBa6kHy2l9uupCUaMNLl8gJJqFyqpwLgsUq1fs4qrSaRbkKiNDkcllPmGrSLXTneyTDf/FLgzyd3lgGzKFfXchIH/iFpe80mbEbfP8A7pRLo5+ncb40fh3zsQPuJgPpJZtFtEChWSWMs1NodPVZQcHSjwjpE+pubkdSgpzVKE2IsfnE8qqxOUghcjVTeSp7CBrzaoozlPPg3+jxT2lLM1zlME0WM7474x8jq1p5J3MtEF6HJFr/hjsWQQEMSG6BGW+c9zEDIPBwZ0nk05OdKVtomRADn2xDCheBqHnow2lmHKDQkHxMoInWX4l4Oz8nKYHfuyDGnsgYNZXsxfFDHaHwZtV7AJFkcGexXKBICHQEZ5g5wKTYVoH/IOmCAixG9IGoRIbpVGsR08a7vVaPsGGZ9iLXWV2zNSMlTRVu6b3njVvixct9inxRPLaKBK6nvAm3MZe9Ek5UjQGtwuHLMHvNq59+ATWM8ra/rPzC6gFVteguV44Lu1OrG8PtMLJkjBw0ggiZL/u4S3mIfWebx5V4PE7sJlwx2CLWYKH5jQqFgHfc9mg/zuRiSIG6AbGTN+CKuTZJ9+INhVC+A7k1DGex+lPoK7WyJjxJ2zAtAHZhbCv2G8aqrRW7OKlQ9I95phBm+KeoCDQV8Tfbn97OL+2f0MnKSnp+LjKvXh8ccqPRnOJgh78Wdy4MFfRfwG/i0VrfF2V+Q4wkvpBI2Uw/w0eoP/OkEGI6Oyj2YTIp5MR1qRXlttyzFHkj8KKiyyAZHYjT6nXYmjqPJ36JyPTn2SrjOos9HRgUwkXmLW7jhenwtQUfmbreulRtZVP8YBb/WoRC7zv3gwDIIk+exRGngm1r+zGvqSJyOdcu5TaTvnKWo8fit22R0IC2bCCUuIwsNB5wejuhlp/pRNPjGVKHP5zQlkz2hBvfWMPsEkIDiP4NXzVdQUx642aidXOofrX0lV9hOwjQAsdyo5kDkgBkswI2g34beZR7unOONIzjQqoj/b+HdN0P02xw4jPqmj72/cM+057ZMQaAMIH09Ow4vw4nTfGybEqsnRscx64eAb7zuexBurojM8tOzvjJppy9DTmZjV5/YskbPuj5pzGwt6vcfXD6C3g2kgY/oVAFyb8mISS3MmkgC0iSj/HXJSs+cwFFNkXgVyZbXzpcnlgKR8QW6v9Y7REy5JKOwhdysRSscIEGXhenpidg48czCDIo04RwVcETxR6/gn1qDRY7KwMZBGSMn2tERJju0eC5qnA+9nrk8mAAM934ux35DwkD3tCOh2PAAAAAAFc4VI2LeqVXRRS+Tzr8YDxNZLlazFPqosX9Nk6FW6hXaLEF0lfm0EYfR7a2BfQ9XOxYyK+R1tH5VvpYj3TlGPXKIsrtvAxmW/IeKnMCvXQH6pIezPY6D5G4kBvnsDg9nohTDB30+xy9q31b+brInLwNBWG7YykQrnFVZn1JUGeK11IO4/TcbrxpjQ/TYVdcm4W5mOjg97OUY+jG39Rxaov66Qk8zQgMcBkhww1lovE9YKUJIEDY/3jWqw7/LoJ7AVxHwQ6dJQhA3hglV0MKygA4KXcuR1kcl1xE/Q21BYCj2UH5rSZ4Yr8ZzJeF451ukx3Xt3pAqCMDZiVogh2N0Qty28ebyl+Pvm38HpZCwpqmBHK/t5gSv3uatvP1016KxaNoFkfijNQr4U6+TuDpvEgTTrih//4+CXi10/+D5ywJgEtfHLj0hI7kqhjDcZ9QmIfwj7SNk3DRRimv9E+gZ7X9GH/zjgCV/HDgCReLUh/MbZfhbwlUVmjNdHoDhmaPElzbcT2v2et56xlFN/KEo4vU+hsn/+PiPhs/iFDreQpV6dTZVCgYCiiSS/5gImKalmhKjXeukGR9iM3gJl8GIKIjLLM5duUr9Sj3yXAODn1afgI3iyNbira1uBxTGOOmTjpJOzGT1bssrSpZvVJJuGlqcx6qWf3poWdib+OfijhXsLjjncCtzWLsjSVupwzb6VseeoWPpThsJrXxkTVSLcC1SPMr0te/iclzGA2KZOj1LZxJpL2ELGL97yQCTaPaHrz9H32+lykfdhCM8n5x+XQPv1rYBQ3Ae3dggF3/owGe2ImUV6nTLSyPiHMG5fFBD+8UCx+GKH93G1r1D/fgzsq7UUuEEn2SGxsH27Wi6EKezzXze1tesyom2J10NZ5++t5er/eNcRz0xAOaRmbqAfVCnmNQpL6Bqzz+RWLTzsbNvEicJel7b8t5uwHpH6zlknyf4jaInX/Td+P8qnslO5D8V/H0O0U5Qx1R2oXO3QHFUG0UyglUtpx4/hZ1cyYgk3KGrjywQTy/Y9poUQh5lIU69rFcIxvgYbvEWTf6O1+MP7iDskYUJ6I+y8XR8XfNeYVFwR70A9P4TA8yB03FRLBPLZcWtLC3pSw4o4bIwtIPR6t0eeHfKzGYLBDuF0PVXDlmSefSNueN71HgDzC4mCb/RGVXVTgRcpgf8eiAr3hfCuPD/ZPbHFFCBi2EV9d9hxms0c6RqbMfzT5qWGuKY8wlm6uSIBH0wrZ5qKjWukoJOan5fccKQNinLEp5FtQu50BIMW+jUmfdGncTjBakvmLxqXAyA7ZBscnPFXexR6Zg95d2VKLqljmYC1r7ADiJLx6C4cfSTrzQsTyTRFIOgLr/VuRj+GgI2b1/7baRWdzgE91IM+OD6vumrG27E+caBx/qM3dRWa6h3xT7DO3uiJA1/vcuWVkk5pctbot9LDPcLliHV34MyHcyOjIs8g+JnSy++wpDwKUPp29amCkfq4Swo0llFxfnZCHjwMoCTrGzo/J7+5WvqnfwZq+TRjenATdqB9rK8OS/erboRgoP7rFLNDR1tErTxkyN/Q2ZrmzaxRv6M5SRtebOjP4rrevPCOIctIOSHtxnSr4+haqCP88JO3Bnzn3jGdq+czncIZ5GHSJ0KyatkCaxzYchlEnwfeEjvkgOIpmzrAGH50kbyUHTbgBLtEIR+jfFfXRbynKq8lnk8MyvA5yV3NmFiO8gUqkSTo+M5JtYz1fjMpPohRPRH2XoxlqyhrVd6Vq1YB6YR7TpEsKpJsq6JTbfcfwqfqBAVIwjdd+elIcUcNkYWnqHTYWX8C7wTo7wfr8sYlrlZXHBJiMQiZZFk3yVrFaA0SRWEBLVTnQA0CpLg9a1lZwkUkQzkvMrQDJFuGEdFMoU14gUibgJoHFHlKA7Glt3jhUA7o6xDiM9dVKaVL1la8GzYQp+mvCw8aNhb/febcuCfwGLYhcfWdNyFKbIm7y7jxlj7Zh4M0HCzcOhcY5UObWX+ycEsL8qN566+dzZF+Gu3qIuW1Jda2edyVHxd5GwRM6HNPnZ9OFLjzIn+Vpqoyv/h0oHQEmSkuBvwG8sCJNPfifwezUoTXPBGa035SI7xMxTuw/q9GvFw3ujfqyaZWzGoIanBT0UraJ5GMvqHQuMcqA/b54HWYyIVUhUJotWlgN2KHNmfVnrVwNwsgJBkksm1Su1r1RfEoE1tLwyY77wQ3aJpCatHRu39KcCa8BLjzWeGT3R0qBA7Wqrs3fxnNPHx5koi5TLmxyuSmVaJyhNK8fQWyhgYisgCrgk2wHDCk1jiOREt4CnBdLljl4BWqYC/b1GsIgNBP+0BvjlXTqxfh1ysClT6igQomxXr6rYus754Niw+qPuCjK4tQ3OG7cQnVUcJ3xWjcHbhoKazE61bnIMkrSZ7bt6vTsmGwqVk4o5S35xKWNoZfip5CC/J6EEYRFlZs1ec9Uid81ybCfuOpcazvlFtttz+MIDrGqTOL2C2D9b/otr6kgL0DJUh477sGi/cyMM/T7A2aBArVu4MEcRKpWqCYiZGvSpVGoYlu7dXNsbPyTFglkhm7psJC1NsnHaU8za3RNTU0ROskPZOEgD2IHS2sIRmUW9SLcqfDDlqf2cdUFwRdnrAhGnpPa5jT6NSnpakPq10OnA5mfBgX5U5hksJd5xDtXezB7DSNc8LLruQznlRq2Sb92aPHNWrRF5v1XpoxUG0LscjSJKR1s0k5weQsb0vESYXPKbfO7Ni52TfvqefWdKm/J/mWHt77dJBdH+XOzts5VhmDxJdgzj60Q9ISyQzy6RLw+NlLb5jnA0e7A5y+Ctet6HkdoRjla6TWYKnDzBwVuLVP7HUwiNSS89fhfi56mZQuAXnW0T/znPgvJsaJ/Hpz/h3X6AKNFgAKFragM/AN201jrzQaZu5n5RhItuoopeoobTKctBsVyKx1SHWzu/J3ehnXY9qj5wVN/hFPlqppXq2OE0ALFc3L19KhQo6qCQra0yfPxHqn4Z1cTqpxpCsEdy5An+pKRTUJZQew6+GnXvXE8HTSswNg0GZIuq1HTR99mSIL/hcJIHABpBjCE7p4rtF6mt/0ui1B4yVXT66NqryuwYqjXcibSN0lRWab15IMWXxvE0dyyjnSKezw4d+xiaUbrhEkylhEZOCni+NkojZztjqgtMyMaJnF9PxNPXhyX24CEoWbumnpPa5pYQYriAQT3XK+6c2Og15+HrrABpB7dEH8D9IYsi+n0zVgerwHLHm3tJXGJxJCHKJjTT+UdQUnqUzr2xvEqoNwvdKuohMxQ4KFPlnrT1kgZTTcpfsZ3Rx7Gy7+1/8uy48sFqfDQaetfkuLjQnmy2lhy9P8xlW30F9Pt6zk7p/EKeF3UXk85LrKqWczbqZAKybGTCApOkrK1yIGU5w6sHzv2FYprUN8zT2qMBbEkGu8iUM8UprXhWvCG1q8eENhjcXaRz91Ldbrdc9pNrNWQT5DDRhlWwvw+ov9/OQMN+hKmrVf77qhmY4UpdP0jY1lKssmpvq673VwLvQZIPJA3PRTKZOHyYJsQxjziLI/DIcK9TbbbbY8qg0XgAAAAL9zQPj/NHVqg89akS0SpNcqjbimDW2BkzOjgA4qTxduetaiMMEb+GmcbDW2QxdoDkp5b426woafjoAgHJ505tTx+iYMx0dZ/EUcQFA/0QyV4nuJ2Z5uuLjetqcqpKvyDqx9sqfwFYW19DtnFxhNJwwy3JoPG6IJxLhoX9On6gV9cGGd9KiLTJnN0n/D3rl0TThXkRQmFTFp5pwaJRtwVhxdDod32ZV1SSRFPV/xEK9hSfCkTZwexlKWCUId/pA2pt/7xzWL7cQ3FtZQRvGNWJKBNPTyFlb2Xk46Du80BS/c4qPvoMrlL5DwUj/6fXP3yFq7YUjdSjKxA2/ziB83PfXqyQXkvFKGlZkxJXuQCYkrz1MlIXV7wr0hxM0XdffhPTTlAy5NhxUosZlhYavXRLBdv3TVINcwTLgbatB0ajSAvk2dB/395eCCbWsK8MUCkHldJn1q6jDYa3k0nJLWb6igGrtXgB50DDw5n8PbIMddZeKYcE83XjvJRrP3whcNrv7aEa5JAOpTkWsuAuk9SGZNvukmvgDSuOdb8kiPgSiatfJGQyjsWC8sO9P22cJm4MEckHxUb41RKOjH8uqN7lakcIdaSbdFMllyLqOLsBgP46IJ+Vj9E9PF/vukfGLkic1MueEWQjvkeUSHxDShVJN7F5hgicsFd7CKVd7lrs0feET5n2L+zUt7k6SItMpA2swlDePaby2bw8EX155o8FxN8gp4plhTtLTw1mAAAAAAAFXcwpMI9gHKKAXnxGz8OKwsdOy+VeQCGmVn846i9pPRSG5rRwADfQT4xTGqQbJLiJpJtJFX3CCfbTcl5ZfzmUB1jNv/Ox83ZYMW10AgvLUNQbTFMZNV2tJTjyskykFon34Jrx96tiDvAfgIemtDWyr+R48CcwOLLTYjoBGfWJl0xhByc+Je3WwgUAKXsoqRJ7odLSSgU0SNkEtNC1xvlcjJ9UJTr40uiF7/i3b6m7zOku3teRo1GTPSrsDiDdFWtvBjX0rn497PTP85MS5JNPu9LsdJ7cqTkh9/lxM5U56ixoWv3KMtrcZZRKuPmASmec93BhO5icb1f+6qSjVC0H5FF0Kwv8go6mc4LrCycFyHu9LShhEtuvFbm8wS/QUW1ZOwv/iYI3Gpoi5tLS5NT5YT8Dr1DdrRjBGO3cOHCC8EqmdFsjyjWRFeLYFDdNLwzh5X7WS9SeCZiODlYu2Sl/bbA+k8Y8K16SM3mULUqwVmvmao8rJGc6C/K2l+maNu+GJy1/2iRTnRnvOuJ4YR5qD3eW8edRBH6eDdLK9SvI8mnUtWzoc9Rl9gAFEFLJ2UahmSIggJmw35AAzK8XetTFLI9ngAAAAAAALWpcgV0/U18G2/0qbBE9M4ngXIHshe4mEOh0Oh0Oh0Oh0Oh0Oh0Oh0Oh0OhzM8F+3PVzw4ui1ABGh92ogpBzbOMk/V41M9RhEu4dZ703WWLtJdxTeggECu1iIx+IqbvtRBNkKtzIB6DLFe2rbUZW7gxmkcEhNzIPBxlKz0TT/9AiudOwBIaPd5T0dDgBCcfb9JK/dl4Rh28hFHaCfNeYMNCBh8RgilOsvd8Mnv1L4qhM/EFok7Z0kwnUdypYoNF5L3n7l3RkML75RTd0Js57+IPfYow7z7UEZd3bYAMLRcCmmneLO/j7mlufJoP2+B4pNV8TeTcoXx60vDj5g9NVILyM4fHbswn46QMkE0skFuq2jL1SFMRmyIgl7AV4cqQ1tPpg8FmlMGbGgQDY755bSwvqNqHSuX6BVqdPU4hMRWnMKiBKym8GUFIg2PwCGFJrGdZXRYH4t7RXIlm6t7uKLfq+URT9AX+MXb2k0qMUV4MnGxqKdp65j9dTUwQwEqelGrZq3Ar2R2QNMr8eHpuwHAIKeLg4uWEGk13Flr9dwy4N0OJ/d4kY86Sqe2+DprSHL7wZH2ZwBRgQf2l/3bYrFiuQa09zrL+ZT/dFw4QmIEBgUH9ZD5gYC5eXgETrcVncLCf9ijZjxXsCTfHeGbKsKCC++Dn/90Kvd1u3wp0uCQ6Ek96OJ2CaoNnLAB9uZEhupmtDOTvFPgZPOjZNH5aX1d9zpT/ChEFxq5RFycm4SfRy2GxdfRtEueTFsqtSCoNugLYkinnApG2oM7/IVv5rEYep7TpVUTzISnF+F9wXIVuN77BWcvSw6ppOgTVP2Zead7GUu/RKKE6HyJ9j94TrgZg8Dc8PjxpAFB9yAim5TRzeDvY6uoQNqx0Ruk1v2+6QsznVtAP4o83nmOsH2pDVk14lH4O2YPHX7oFhp3PJuux3a0fJQ9K7So9yn+KeFhHidIUSIC4yRdUW5jEb0r8mNvCSNAcHGy2Y8d34Vvn2HpFJs+D9zxmLDgzsF+Ux8RQ4nWSozkE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)

## 示例模型和标签文件

Table : gst-ai-object-detection 的示例模型和标签文件

| Runtime | 模型文件 | 标签文件 |
| :--- | :--- | :--- |
| LiteRT | *yolov8\_det\_quantized.tflite* | *yolov8.labels* |

## 前提条件

- 如果还没有安装 eSDK，请[下载并安装 eSDK](https://docs.qualcomm.com/bundle/publicresource/topics/80-70018-51/install-sdk.html#download-and-install-esdk-)。
- [下载模型和标签文件](https://docs.qualcomm.com/doc/80-70018-50SC/topic/download-model-and-label-files.html)。
- 要访问主机，请启用 SSH。有关说明，请参阅[使用 SSH 登录](https://docs.qualcomm.com/bundle/publicresource/topics/80-70018-254/how_to.html#use-ssh)。
Note: 如果 SSH 已启用，则可以跳过此步骤。
- 从 Linux 主机推送模型文件。

        scp <model_filename> root@<IP address of target device>:/etc/modelsCopy to clipboard
- 请注意，[下载的脚本](https://docs.qualcomm.com/doc/80-70018-50SC/topic/download-model-and-label-files.html)会将示例 video.mp4 视频下载到 /etc/media 目录。如果您使用的是自定义视频，请确保将视频推送到 /etc/media，并在应用程序的 config.JSON 文件中更新文件路径。
- 使用 HDMI 端口将显示器连接到设备。有关说明，请参见[设置 HDMI 显示器](https://docs.qualcomm.com/bundle/publicresource/topics/80-70018-18/samples.html)。
- 启用显示器：

        export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1Copy to clipboard

如果启用摄像头或显示器时遇到问题，请参阅[摄像头故障排除](https://docs.qualcomm.com/bundle/publicresource/topics/80-70018-17/troubleshooting.html)和[显示器故障排除](https://docs.qualcomm.com/bundle/publicresource/topics/80-70018-18/debug.html)。

Note: 要查看边界框信息和人数，请在运行应用程序前运行以下命令：

    export GST_DEBUG=4Copy to clipboard

## 运行应用程序

使用以下命令来运行应用程序

    gst-ai-metadata-parser-example --config-file=/etc/configs/config-metadata-parser.jsonCopy to clipboard

示例应用程序使用 /etc/configs/config-metadata-parser.json 文件读取输入参数。

要创建自己的 config JSON 文件，请使用 [config-metadata-parser.json](https://git.codelinaro.org/clo/le/platform/vendor/qcom-opensource/gst-plugins-qti-oss/-/blob/imsdk.lnx.2.0.0.r2-rel/gst-sample-apps/gst-ai-metadata-parser-example/config-metadata-parser.json?ref_type=heads) 作为参考。

1. 使用以下格式的 config-metadata-parser.json 文件。

        {
          "file-path": "<path to video file>",
          "model": "<path to model file>",
          "labels": "<path to label file>",
          "constants" : "<model constants for LiteRT model>",
          "threshold": <integer between 1 and 100>,
          "runtime": "<cpu, gpu, or dsp runtime>"
        }Copy to clipboard

Note: 根据模型、输入流和其他属性更新 config JSON
                        文件。关于更多详细信息，请参阅 [Config JSON 字段说明](https://docs.qualcomm.com/doc/80-70018-50SC/topic/gst-ai-metadata-parser.html#gst-ai-metadata-parser__section_qjx_hqq_32c)。

例如，在控制台中使用摄像头输入、YOLOv8
                        模型和人数运行应用程序：

        {
        "file-path": "/etc/media/video.mp4",
        "model": "/etc/models/yolov8_det_quantized.tflite", 
        "labels": "/etc/labels/yolov8.labels",
        "threshold": 40,
        "runtime": "dsp"
        }Copy to clipboard
2. 运行 gst-ai-metadata-parser-example 应用程序：

        gst-ai-metadata-parser-example --config-file=/etc/configs/config-metadata-parser.jsonCopy to clipboard

要显示可用的帮助选项，请在 SSH shell 中运行以下命令：

    gst-ai-metadata-parser-example -hCopy to clipboard

要停止用例，请按 CTRL + C。

## 预期输出

Figure : gst-ai-metadata-parser-example 应用程序的预期输出 - 目标检测
                
                ![](data:image/png;base64,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)

## Pipeline 流

该表列出了元数据解析 pipeline 中使用的插件：

| 插件 | 说明 |
| --- | --- |
| 摄像头源：[qtiqmmfsrc](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtiqmmfsrc.html) | <ul class="ul" id="gst-ai-metadata-parser__ul_zyl_gj1_mcc"><br>                                    <li class="li">从摄像头采集实时流。</li><br><br>                                    <li class="li">使用 tee 将流分为两路，分别用于推理和合成。</li><br><br>                                </ul> |
| 文件源：filesrc | <ul class="ul" id="gst-ai-metadata-parser__ul_z1z_x4f_w1c"><br>                                    <li class="li">使用 filesrc 采集视频流，然后使用 qtdemux 对视频流进行解复用。</li><br><br>                                    <li class="li">使用 tee 将流分为两路，分别用于推理和合成。</li><br><br>                                </ul> |
| RTSP 源：rtspsrc | <ul class="ul" id="gst-ai-metadata-parser__ul_vsj_2r4_tbc"><br>                                    <li class="li">使用 rtspsrc 采集 RTSP 流，然后使用 rtph264depay 进行视频提取。</li><br><br>                                    <li class="li">使用 tee 将流分为两路，分别用于推理和合成。</li><br><br>                                </ul> |
| h264parse | 渲染 H.264 视频。 |
| [v4l2h264dec](https://docs.qualcomm.com/doc/80-70018-50SC/topic/v4l2h264dec.html) | 解码视频 |
| [qtimlvconverter](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtimlvconverter.html) | <ol class="ol" id="gst-ai-metadata-parser__ol_j34_ddg_q1c"><br>                                    <li class="li">在其接收端口上接收视频流。</li><br><br>                                    <li class="li">对流数据执行以下预处理。当模型需要浮点值作为输入时，会执行此预处理。<ol class="ol" type="a" id="gst-ai-metadata-parser__ol_m5z_cpr_lbc"><br>                                            <li class="li">颜色转换</li><br><br>                                            <li class="li">缩放（放大或缩小）</li><br><br>                                            <li class="li">归一化</li><br><br>                                        </ol><br></li><br><br>                                    <li class="li">将预处理的视频流转换为其发送端口上的张量数据流。 </li><br><br>                                </ol><br><br>                                <br>张量数据流用于 pipeline 后期的推理。 |
| 推理插件：[qtimltflite](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtimltflite.html) | <ol class="ol" id="gst-ai-metadata-parser__ol_l2x_zjq_nbc"><br>                                    <li class="li">推理 runtime 在其接收端口上接收到张量数据后，会运行推理。</li><br><br>                                    <li class="li">生成一个张量数据流，并在其发送端口上显示推理结果。</li><br><br>                                </ol> |
| [qtimlvdetection](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtimlvdetection.html) | 第一个 qtimlvdetection 插件处理来自任意目标检测模型的推理结果。<ol class="ol" id="gst-ai-metadata-parser__ol_ol3_dky_kbc"><br>                                    <li class="li">将阈值应用于所选结果数。</li><br><br>                                    <li class="li">加载 YOLOv8 模块。</li><br><br>                                    <li class="li">生成包含可叠加在目标对象上的边框的视频帧。 </li><br><br>                                    <li class="li">将这些处理后的帧发送到 qtivcomposer 的接收端口。</li><br><br>                                </ol> |
| [qtimlvdetection](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtimlvdetection.html) | 第二个 qtimlvdetection 插件执行以下操作：<br><ul class="ul" id="gst-ai-metadata-parser__ul_i4s_qqy_m2c"><br>                                    <li class="li">以文本格式生成输出（边界框坐标和标签）。 </li><br><br>                                    <li class="li">该输出连接到 appsink 插件，用于读取、解析和记录元数据。 </li><br><br>                                    <li class="li">边界框信息用于计算每帧中的人数。</li><br><br>                                </ul> |
| [qtivcomposer](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtivcomposer.html) | <ol class="ol" id="gst-ai-metadata-parser__ol_dmb_2vr_lbc"><br>                                    <li class="li">将接收端口获取的内容组成帧。</li><br><br>                                    <li class="li">将包含这些组合帧的 GStreamer 缓存推送到其发送端口。</li><br><br>                                </ol> |
| [Waylandsink](https://docs.qualcomm.com/doc/80-70018-50SC/topic/waylandsink.html) | <ol class="ol" id="gst-ai-metadata-parser__ol_kjr_fvr_lbc"><br>                                    <li class="li">Waylandsink 将其接收端口上接收的视频流提交给 Weston。</li><br><br>                                    <li class="li">Weston 在本地显示器上渲染视频流。</li><br><br>                                </ol> |
|  |  |

## Config JSON 字段说明

Table : 字段说明 – gst-ai-metadata-parser-example 文件

| 字段 | 值/描述 |
| :--- | :--- |
| **runtime** | 请使用以下 runtime 之一：<ul class="ul" id="gst-ai-metadata-parser__ul_mry_nck_32c"><br>                                    <li class="li"><code class="ph codeph">cpu</code></li><br><br>                                    <li class="li"><code class="ph codeph">gpu</code></li><br><br>                                    <li class="li"><code class="ph codeph">dsp</code></li><br><br>                                </ul> |
| **Input source** | 请使用以下输入源之一：<ul class="ul" id="gst-ai-metadata-parser__ul_xym_rck_32c"><br>                                    <li class="li"><code class="ph codeph">camera</code> - 主 (0) 或辅助 (1)。</li><br><br>                                    <li class="li"><code class="ph codeph">file-path</code> - 视频文件目录的路径。</li><br><br>                                    <li class="li"><code class="ph codeph">rtsp-ip-port</code> - RTSP 流的地址：<u class="ph u"><var class="keyword varname">rtsp://&lt;ip&gt;:&lt;port&gt;/&lt;stream&gt;</var></u></li><br><br>                                </ul> |
| **constants** | 添加所选模块使用的常量、偏移量和系数。<br>`"module,q-offsets=<value>,q-scales=<value>;"` |

**Parent Topic:** [运行 AI/ML 示例应用程序](https://docs.qualcomm.com/doc/80-70018-50SC/topic/ai-ml-sample-applications.html)

**Related Resources**  

- [目标检测](https://docs.qualcomm.com/doc/80-70018-50SC/topic/gst-ai-object-detection.html)

Last Published: Nov 12, 2025

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