# Metadata parsing

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

The **gst-ai-metadata-parser-example** application takes the live video stream
        input from camera, file, or RTSP source, and passes the stream to the YOLO models for object
        detection and preview. The overlaid AI model output with label and bounding boxes is
        displayed on an HDMI display. The extracted metadata is logged in the console and used to
        count the number of humans in the frame.

The figure shows the pipeline for metadata parsing. For information about the plugins
            used in the pipeline flow, see [Pipeline flow](https://docs.qualcomm.com/doc/80-70018-50/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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## Sample model and label files

Table : Sample model and label files for gst-ai-object-detection

| Runtime | Model files | Label files |
| :--- | :--- | :--- |
| LiteRT | *yolov8\_det\_quantized.tflite* | *yolov8.labels* |

## Prerequisites

- If not already done so, [Download and install eSDK](https://docs.qualcomm.com/bundle/publicresource/topics/80-70018-51/install-sdk.html#download-and-install-esdk-).
- [Download model and label files](https://docs.qualcomm.com/doc/80-70018-50/topic/download-model-and-label-files.html).
- To access your host computer, enable SSH. For instructions, see [Sign in using SSH](https://docs.qualcomm.com/bundle/publicresource/topics/80-70018-254/how_to.html#use-ssh).
Note: If SSH is already enabled, you can skip this
                        step.
- Push the model files from the Linux host
                    computer.

        scp <model_filename> root@<IP address of target device>:/etc/modelsCopy to clipboard
- Note that the [downloaded
                        script](https://docs.qualcomm.com/doc/80-70018-50/topic/download-model-and-label-files.html) downloads the sample video.mp4 video to
                    the /etc/media directory. If you are using a custom video,
                    then ensure that you push the video to /etc/media and
                    update the file path in the application config.JSON file.
- Connect the display to the device using the HDMI port. For instructions, see
                        [Set up HDMI display](https://docs.qualcomm.com/bundle/publicresource/topics/80-70018-18/samples.html).
- Enable the
                    display:

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

If you face issues while enabling camera or display, see [Camera troubleshooting](https://docs.qualcomm.com/bundle/publicresource/topics/80-70018-17/troubleshooting.html) and [Display troubleshooting](https://docs.qualcomm.com/bundle/publicresource/topics/80-70018-18/debug.html).

Note: To view the bounding box information along with the human
                count, run the following command before running the application:

    export GST_DEBUG=4Copy to clipboard

## Run the application

Use the following command to run the application:

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

The sample application uses the
                    /etc/configs/config-metadata-parser.json file to read the
                input parameters.

To create your own config JSON file, use [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) as a
                reference.

1. Use the following format of the config-metadata-parser.json
                    file. 

        {
          "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: Update the config JSON file based on
                        the model, input stream, and other properties. For more information, see
                            [Config JSON field description](https://docs.qualcomm.com/doc/80-70018-50/topic/gst-ai-metadata-parser.html#gst-ai-metadata-parser__section_qjx_hqq_32c).

For example, run the application using input from a camera, YOLOv8 model, and human count on
                        console:

        {
        "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. Run the gst-ai-metadata-parser-example
                    application:

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

To display the available help options, run the following command in the SSH
                shell:

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

To stop the use case, use CTRL + C.

## Expected output

Figure : Expected output for gst-ai-metadata-parser-example application–object
                    detection
                
                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)

## Pipeline flow

The table lists the plugins used in the metadata parsing pipeline:

| Plugin | Description |
| --- | --- |
| Camera source:[qtiqmmfsrc](https://docs.qualcomm.com/doc/80-70018-50/topic/qtiqmmfsrc.html) | <ul class="ul" id="gst-ai-metadata-parser__ul_zyl_gj1_mcc"><br>                                    <li class="li">Captures the live stream from camera.</li><br><br>                                    <li class="li">Uses tee to split the stream into two for inferencing and<br>                                        composing.</li><br><br>                                </ul> |
| File source: filesrc | <ul class="ul" id="gst-ai-metadata-parser__ul_z1z_x4f_w1c"><br>                                    <li class="li">Captures the video stream using filesrc, followed by<br>                                        qtdemux, which demultiplexes the stream.</li><br><br>                                    <li class="li">Uses tee to split the stream into two for inferencing and<br>                                        composing.</li><br><br>                                </ul> |
| RTSP source: rtspsrc | <ul class="ul" id="gst-ai-metadata-parser__ul_vsj_2r4_tbc"><br>                                    <li class="li">Captures the RTSP stream using rtspsrc, followed by<br>                                        rtph264depay for video extraction.</li><br><br>                                    <li class="li">Uses tee to split the stream into two for inferencing and<br>                                        composing.</li><br><br>                                </ul> |
| h264parse | Parses the H.264 video. |
| [v4l2h264dec](https://docs.qualcomm.com/doc/80-70018-50/topic/v4l2h264dec.html) | Decodes the video. |
| [qtimlvconverter](https://docs.qualcomm.com/doc/80-70018-50/topic/qtimlvconverter.html) | <ol class="ol" id="gst-ai-metadata-parser__ol_j34_ddg_q1c"><br>                                    <li class="li">Receives the video stream on its sink pad.</li><br><br>                                    <li class="li">Performs the following preprocessing on the stream data.<br>                                        This preprocessing is done when the model expects<br>                                        floating-point values as input.<ol class="ol" type="a" id="gst-ai-metadata-parser__ol_m5z_cpr_lbc"><br>                                            <li class="li">Color conversion</li><br><br>                                            <li class="li">Scaling (up or down)</li><br><br>                                            <li class="li">Normalization</li><br><br>                                        </ol><br></li><br><br>                                    <li class="li">Converts the preprocessed video stream to a tensor stream on<br>                                        its source pad. </li><br><br>                                </ol><br><br>                                <br>The tensor stream is used for inferencing in the later stages of<br>                                    the pipeline. |
| Inferencing plugin:[qtimltflite](https://docs.qualcomm.com/doc/80-70018-50/topic/qtimltflite.html) | <ol class="ol" id="gst-ai-metadata-parser__ol_l2x_zjq_nbc"><br>                                    <li class="li">After the inference runtime receives the tensor stream on<br>                                        its sink pad, it runs the inference.</li><br><br>                                    <li class="li">Produces a tensor stream with the inference results on its<br>                                        source pad.</li><br><br>                                </ol> |
| [qtimlvdetection](https://docs.qualcomm.com/doc/80-70018-50/topic/qtimlvdetection.html) | The first qtimlvdetection plugin handles inference results from<br>                                any object detection model.<ol class="ol" id="gst-ai-metadata-parser__ol_ol3_dky_kbc"><br>                                    <li class="li">Applies a threshold to the chosen number of results.</li><br><br>                                    <li class="li">Loads the YOLOv8 module.</li><br><br>                                    <li class="li">Produces video frames with only bounding boxes that can be<br>                                        overlaid on objects. </li><br><br>                                    <li class="li">Sends these processed frames to the sink pad of<br>                                        qtivcomposer.</li><br><br>                                </ol> |
| [qtimlvdetection](https://docs.qualcomm.com/doc/80-70018-50/topic/qtimlvdetection.html) | The second qtimlvdetection plugin does the following:<br><ul class="ul" id="gst-ai-metadata-parser__ul_i4s_qqy_m2c"><br>                                    <li class="li">Produces the output in a text format (bounding box<br>                                        coordinates and labels). </li><br><br>                                    <li class="li">This output is connected to appsink plugin where the<br>                                        metadata is read, parsed, and logged. </li><br><br>                                    <li class="li">The bounding box information is used to count number of<br>                                        humans in each frame.</li><br><br>                                </ul> |
| [qtivcomposer](https://docs.qualcomm.com/doc/80-70018-50/topic/qtivcomposer.html) | <ol class="ol" id="gst-ai-metadata-parser__ol_dmb_2vr_lbc"><br>                                    <li class="li">Composes frames with contents from its sink pads.</li><br><br>                                    <li class="li">Pushes the GStreamer buffers containing these composed<br>                                        frames to its source pad.</li><br><br>                                </ol> |
| [Waylandsink](https://docs.qualcomm.com/doc/80-70018-50/topic/waylandsink.html) | <ol class="ol" id="gst-ai-metadata-parser__ol_kjr_fvr_lbc"><br>                                    <li class="li">Waylandsink submits the video stream received on its sink<br>                                        pad to Weston.</li><br><br>                                    <li class="li">Weston renders the video stream on a local display.</li><br><br>                                </ol> |
|  |  |

## Config JSON field description

Table : Field description–gst-ai-metadata-parser-example file

| Field | Values/description |
| :--- | :--- |
| **runtime** | Use one of the following runtimes:<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** | Use one of the following input sources:<ul class="ul" id="gst-ai-metadata-parser__ul_xym_rck_32c"><br>                                    <li class="li"><code class="ph codeph">camera</code>–Primary (0) or secondary (1).</li><br><br>                                    <li class="li"><code class="ph codeph">file-path</code>–The directory path to the video<br>                                        file.</li><br><br>                                    <li class="li"><code class="ph codeph">rtsp-ip-port</code>–The address of the RTSP<br>                                        stream:<br>                                                <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** | Add the constants, offsets, and coefficients used by the chosen<br>                                        module.<br>`"module,q-offsets=<value>,q-scales=<value>;"` |

**Parent Topic:** [Run AI/ML sample applications](https://docs.qualcomm.com/doc/80-70018-50/topic/ai-ml-sample-applications.html)

**Related Resources**  

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

Last Published: Jan 30, 2026

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