# Object detection

The **gst-ai-object-detection** application allows you to detect objects within images and videos. The use cases show the execution of [YOLOv5](https://github.com/ultralytics/yolov5), [YOLOv8](https://github.com/ultralytics/ultralytics), and [YOLOX](https://github.com/Megvii-BaseDetection/YOLOX/blob/main/README.md) using the Qualcomm Neural Processing SDK runtime, YOLOv8 using Qualcomm AI Engine direct, and YOLOv5 and YOLOv8 using LiteRT.

The following figure shows the pipeline, which receives the input from a live camera feed, file, USB source, or an RTSP stream, preprocesses it, runs inferences on AI hardware. The results are either displayed on the screen, saved as an encoded MP4 file, or streamed over the RTSP server. For information about the plugins used in the pipeline flow, see [Pipeline flow](https://docs.qualcomm.com/doc/80-80021-50/topic/gst-ai-object-detection.html#section-p2w-33y-kbc).

<!--?xml version="1.0" encoding="UTF-8"?-->
<svg id="Layer_1" data-name="Layer 1" xmlns="http://www.w3.org/2000/svg" width="1381.794189453130457" height="559.157096862792969" viewbox="0 0 1381.794189453130457 559.157096862792969" aria-label="../../_images/gst_ai_object_detection_pipeline.svg">
  <g>
    <rect x=".5" y=".49981689453125" width="1380.7939453125" height="558.1572265625" rx="7.499999999999943" ry="7.499999999999943" style="fill: #fafafa;"></rect>
    <path d="M1373.794189453130457,1c3.85986328125,0,7,3.14019775390625,7,7v543.157097816467285c0,3.859818458557129-3.14013671875,6.999999046325684-7,6.999999046325684H8c-3.85980224609375,0-7-3.140180587768555-7-6.999999046325684V8c0-3.85980224609375,3.14019775390625-7,7-7h1365.794189453130457M1373.794189453130457,0H8C3.581634521484375,0,0,3.5816650390625,0,8v543.157097816467285c0,4.418363571166992,3.581634521484375,7.999999046325684,8,7.999999046325684h1365.794189453130457c4.418334960930224,0,8-3.581635475158691,8-7.999999046325684V8c0-4.4183349609375-3.581665039069776-8-8-8h0Z" style="fill: #d2d7e1;"></path>
  </g>
  <g>
    <g>
      <text transform="translate(1187.042938232421875 528.37147331237793)" style="font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">Qualcomm </tspan></text>
      <rect x="1166.791947621810323" y="516.279959605726617" width="16" height="16" rx="2" ry="2" style="fill: #2a2aea;"></rect>
    </g>
    <g>
      <text transform="translate(1285.624740600585938 528.37147331237793)" style="font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">Open source</tspan></text>
      <rect x="1265.373729034665303" y="516.279959605726617" width="16" height="16" rx="2" ry="2" style="fill: #007884;"></rect>
    </g>
  </g>
  <text transform="translate(26.877044677734375 33.622512817382812)" style="font-family: Roboto-Bold, Roboto; font-size: 14px; font-weight: 700;"><tspan x="0" y="0">File (default)</tspan></text>
  <text transform="translate(26.87738037109375 152.235931396484375)" style="font-family: Roboto-Bold, Roboto; font-size: 14px; font-weight: 700;"><tspan x="0" y="0">Camera (optional)</tspan></text>
  <rect x="520.914858198906586" y="32.29877227265024" width="60.069291909066123" height="76.323798299506961" rx="4" ry="4" style="fill: #007884;"></rect>
  <text transform="translate(541.280517578125 74.551773071289062)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">tee</tspan></text>
  <g>
    <line x1="162.170242309570312" y1="78.62255859375" x2="174.813438415527344" y2="78.62255859375" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="173.646247863770441 82.61163330078125 180.554420471191406 78.62255859375 173.646247863770441 74.633514404296875 173.646247863770441 82.61163330078125"></polygon>
  </g>
  <rect x="180.623720556167427" y="48.622570572157187" width="94.999999999999091" height="60.000000000000028" rx="3.999999999999995" ry="3.999999999999995" style="fill: #007884;"></rect>
  <g>
    <line x1="275.623720169067383" y1="78.62255859375" x2="288.266914367675781" y2="78.62255859375" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="287.099722862243652 82.61163330078125 294.007898330688477 78.62255859375 287.099722862243652 74.633514404296875 287.099722862243652 82.61163330078125"></polygon>
  </g>
  <rect x="294.077197046020956" y="48.622570572157187" width="95" height="60.000000000000028" rx="4" ry="4" style="fill: #007884;"></rect>
  <g>
    <line x1="389.077194213867188" y1="78.62255859375" x2="401.720390319824219" y2="78.62255859375" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="400.553199768066406 82.61163330078125 407.461372375488281 78.62255859375 400.553199768066406 74.633514404296875 400.553199768066406 82.61163330078125"></polygon>
  </g>
  <rect x="407.530673535877213" y="48.622570572157187" width="95" height="60.000000000000028" rx="4" ry="4" style="fill: #007884;"></rect>
  <g>
    <line x1="502.530670166015625" y1="78.62255859375" x2="515.173873901367188" y2="78.62255859375" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="514.006668090820312 82.61163330078125 520.91485595703125 78.62255859375 514.006668090820312 74.633514404296875 514.006668090820312 82.61163330078125"></polygon>
  </g>
  <g>
    <line x1="580.984161376953125" y1="78.62255859375" x2="593.627349853515625" y2="78.62255859375" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="592.46014404296875 82.61163330078125 599.368316650390625 78.62255859375 592.46014404296875 74.633514404296875 592.46014404296875 82.61163330078125"></polygon>
  </g>
  <rect x="599.437626515587908" y="48.622570572157201" width="120.000000000007276" height="60" rx="4" ry="4" style="fill: #2a2aea;"></rect>
  <g>
    <line x1="719.437622070313409" y1="78.62255859375" x2="732.080810546875" y2="78.62255859375" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="730.91363525390625 82.61163330078125 737.821807861328125 78.62255859375 730.91363525390625 74.633514404296875 730.91363525390625 82.61163330078125"></polygon>
  </g>
  <rect x="737.891103005447803" y="48.622570572157201" width="110.000000000003638" height="60" rx="4" ry="4" style="fill: #2a2aea;"></rect>
  <g>
    <line x1="847.89111328125" y1="78.62255859375" x2="860.5343017578125" y2="78.62255859375" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="859.36712646484375 82.61163330078125 866.2752685546875 78.62255859375 859.36712646484375 74.633514404296875 859.36712646484375 82.61163330078125"></polygon>
  </g>
  <rect x="866.34457949530406" y="48.622570572157201" width="135.000000000003638" height="60" rx="4" ry="4" style="fill: #2a2aea;"></rect>
  <g>
    <line x1="1001.3446044921875" y1="78.62255859375" x2="1049.98779296875" y2="78.62255859375" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="1048.820556640625 82.61163330078125 1055.728759765625 78.62255859375 1048.820556640625 74.633514404296875 1048.820556640625 82.61163330078125"></polygon>
  </g>
  <text transform="translate(200.738739013671875 82.714279174804688)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtdemux</tspan></text>
  <text transform="translate(308.508514404296875 82.714157104492188)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">h264parse</tspan></text>
  <text transform="translate(414.049045562744141 82.713973999023438)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">V4l2h264dec</tspan></text>
  <text transform="translate(610.899032592773438 82.129379272460938)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtimlvconverter</tspan></text>
  <text transform="translate(760.098846435546875 65.913711547851562)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtimltflite/</tspan><tspan x="-2.73095703125" y="16.7998046875">qtimlsnpe/ </tspan><tspan x="3.55810546875" y="33.60009765625">qtimlqnn </tspan></text>
  <text transform="translate(877.61871337890625 82.71405029296875)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtimlpostprocess </tspan></text>
  <text transform="translate(1006.10797119140625 70.074081420898438)" style="font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">sink_1</tspan></text>
  <g>
    <line x1="580.984161376953125" y1="38.620574951171875" x2="1049.98779296875" y2="38.620574951171875" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="1048.820556640625 42.609649658203125 1055.728759765625 38.620574951171875 1048.820556640625 34.631500244140625 1048.820556640625 42.609649658203125"></polygon>
  </g>
  <text transform="translate(1006.108154296875 32.100006103515625)" style="font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">sink_0</tspan></text>
  <g>
    <line x1="26.877227783203125" y1="126.7303466796875" x2="30.877227783203125" y2="126.7303466796875" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <line x1="34.864944458007812" y1="126.7303466796875" x2="1049.73492431640625" y2="126.7303466796875" style="fill: none; stroke: #000; stroke-dasharray: 7.975402355194092 3.987701177597046; stroke-miterlimit: 10;"></line>
    <line x1="1051.728759765625" y1="126.7303466796875" x2="1055.728759765625" y2="126.7303466796875" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
  </g>
  <g>
    <line x1="26.877227783203125" y1="268.859879232756612" x2="30.877227783203125" y2="268.859879232756612" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <line x1="34.864944458007812" y1="268.859879232756612" x2="1049.73492431640625" y2="268.859879232756612" style="fill: none; stroke: #000; stroke-dasharray: 7.975402355194092 3.987701177597046; stroke-miterlimit: 10;"></line>
    <line x1="1051.728759765625" y1="268.859879232756612" x2="1055.728759765625" y2="268.859879232756612" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
  </g>
  <g>
    <path d="M52.877242983703582,58.622570572157201h-18c-2.209138870237439,0-4,1.790861129760742-4,4v32c0,2.209140777587891,1.790861129762561,4,4,4h24c2.209140777586981,0,4-1.790859222412109,4-4v-26l-10-10Z" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
    <path d="M50.877242983703582,58.622570572157201v8c0,2.209138870239258,1.790861129760742,4,4,4h8" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
    <path d="M42.877242983703582,76.622570572157201l10,6-10,6v-12Z" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
  </g>
  <rect x="76.369399120642811" y="48.622570572157201" width="86" height="60" rx="4" ry="4" style="fill: #007884;"></rect>
  <line x1="63.700436421539962" y1="78.622570572157201" x2="76.369399120642811" y2="78.622570572157201" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
  <text transform="translate(100.191192626953125 82.14471435546875)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">filesrc</tspan></text>
  <rect x="600.432891027363439" y="190.752089018272272" width="120.000000000006366" height="60" rx="4" ry="4" style="fill: #2a2aea;"></rect>
  <g>
    <line x1="720.432891845703125" y1="220.752081131774503" x2="733.076080322265625" y2="220.752081131774503" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="731.908905029296875 224.741155838804843 738.81707763671875 220.752081131774503 731.908905029296875 216.763036942321378 731.908905029296875 224.741155838804843"></polygon>
  </g>
  <rect x="738.886367517222425" y="190.752089018272272" width="110.000000000002728" height="60" rx="4" ry="4" style="fill: #2a2aea;"></rect>
  <g>
    <line x1="848.8863525390625" y1="220.752081131774503" x2="861.529541015625" y2="220.752081131774503" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="860.36236572265625 224.741155838804843 867.27056884765625 220.752081131774503 860.36236572265625 216.763036942321378 860.36236572265625 224.741155838804843"></polygon>
  </g>
  <rect x="867.339844007077772" y="190.752089018272272" width="135.000000000003638" height="60" rx="4" ry="4" style="fill: #2a2aea;"></rect>
  <g>
    <line x1="1002.33984375" y1="220.752081131774503" x2="1050.9830322265625" y2="220.752081131774503" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="1049.81585693359375 224.741155838804843 1056.7239990234375 220.752081131774503 1049.81585693359375 216.763036942321378 1049.81585693359375 224.741155838804843"></polygon>
  </g>
  <text transform="translate(611.894287109375 224.8431396484375)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtimlvconverter</tspan></text>
  <text transform="translate(761.094085693359375 208.0433349609375)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtimltflite/</tspan><tspan x="-2.73095703125" y="16.7998046875">qtimlsnpe/ </tspan><tspan x="3.55810546875" y="33.60009765625">qtimlqnn </tspan></text>
  <text transform="translate(878.614410400390625 224.8431396484375)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtimlpostprocess </tspan></text>
  <text transform="translate(1007.10321044921875 213.1751708984375)" style="font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">sink_1</tspan></text>
  <g>
    <line x1="161.792800903320312" y1="180.752089160207106" x2="1050.9830322265625" y2="180.752089160207106" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="1049.81585693359375 184.741163867238356 1056.7239990234375 180.752089160207106 1049.81585693359375 176.763014453175856 1049.81585693359375 184.741163867238356"></polygon>
  </g>
  <text transform="translate(1007.1033935546875 174.22540283203125)" style="font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">sink_0</tspan></text>
  <g>
    <line x1="161.792831420898438" y1="220.752081131774503" x2="594.62261962890625" y2="220.752081131774503" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="593.455413818359375 224.741155838804843 600.36358642578125 220.752081131774503 593.455413818359375 216.763036942321378 593.455413818359375 224.741155838804843"></polygon>
  </g>
  <g>
    <path d="M49.377242983703582,180.835917815909852h-9l-4.5,5.400000000002365h-5.400000000001455c-1.988224983215332,0-3.599999999998545,1.611775016783213-3.599999999998545,3.599999999997635v16.200000000001637c0,1.988226699828374,1.611775016783213,3.600000000003092,3.599999999998545,3.600000000003092h28.80000000000291c1.988226699828374,0,3.599999999998545-1.611773300174718,3.599999999998545-3.600000000003092v-16.200000000001637c0-1.988224983214423-1.611773300170171-3.599999999997635-3.599999999998545-3.599999999997635h-5.400000000001455l-4.5-5.400000000002365Z" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
    <circle cx="44.877242983703582" cy="195.235917815912217" r="5.40000000000191" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></circle>
  </g>
  <line x1="63.501281367207412" y1="197.235917815912217" x2="76.170244066310261" y2="197.235917815912217" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
  <g>
    <rect x="76.369399120641901" y="167.235917815912217" width="86.000000000000909" height="60" rx="4" ry="4" style="fill: #2a2aea;"></rect>
    <text transform="translate(83.084259033203125 200.757965087890625)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtiqmmfsrc</tspan></text>
  </g>
  <g>
    <line x1="1157.83251953125" y1="267.774871826171875" x2="1180.36456298828125" y2="267.774871826171875" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <polygon points="1179.1973876953125 271.763946533203125 1186.1055908203125 267.774871826171875 1179.1973876953125 263.785797119140625 1179.1973876953125 271.763946533203125"></polygon>
  </g>
  <g>
    <text transform="translate(26.87738037109375 299.503509521484375)" style="font-family: Roboto-Bold, Roboto; font-size: 14px; font-weight: 700;"><tspan x="0" y="0">RTSP (optional)</tspan></text>
    <g>
      <line x1="580.984161376953125" y1="304.505531639970286" x2="1049.98779296875" y2="304.505531639970286" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
      <polygon points="1048.820556640625 308.494591088212474 1055.728759765625 304.505531639970286 1048.820556640625 300.516472191728099 1048.820556640625 308.494591088212474"></polygon>
    </g>
    <text transform="translate(1006.108154296875 297.826385498046875)" style="font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">sink_0</tspan></text>
    <g>
      <line x1="162.170242309570312" y1="344.503242821610911" x2="174.813438415527344" y2="344.503242821610911" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
      <polygon points="173.646247863770441 348.492302269853099 180.554420471191406 344.503242821610911 173.646247863770441 340.514168114579661 173.646247863770441 348.492302269853099"></polygon>
    </g>
    <rect x="180.623720556167427" y="314.503235833915824" width="94.999999999999091" height="60" rx="3.999999999999995" ry="3.999999999999995" style="fill: #007884;"></rect>
    <g>
      <line x1="275.623720169067383" y1="344.503242821610911" x2="288.266914367675781" y2="344.503242821610911" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
      <polygon points="287.099722385406494 348.492302269853099 294.007898330688477 344.503242821610911 287.099722385406494 340.514168114579661 287.099722385406494 348.492302269853099"></polygon>
    </g>
    <rect x="294.077197046020956" y="314.503235833915824" width="95" height="60" rx="4" ry="4" style="fill: #007884;"></rect>
    <g>
      <line x1="389.077194213867188" y1="344.503242821610911" x2="401.720390319824219" y2="344.503242821610911" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
      <polygon points="400.553199768066406 348.492302269853099 407.461372375488281 344.503242821610911 400.553199768066406 340.514168114579661 400.553199768066406 348.492302269853099"></polygon>
    </g>
    <rect x="407.530673535877213" y="314.503235833915824" width="95" height="60" rx="4" ry="4" style="fill: #007884;"></rect>
    <g>
      <line x1="502.530670166015625" y1="344.503242821610911" x2="515.173873901367188" y2="344.503242821610911" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
      <polygon points="514.006668090820312 348.492302269853099 520.91485595703125 344.503242821610911 514.006668090820312 340.514168114579661 514.006668090820312 348.492302269853099"></polygon>
    </g>
    <g>
      <line x1="580.984161376953125" y1="344.503242821610911" x2="593.627349853515625" y2="344.503242821610911" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
      <polygon points="592.46014404296875 348.492302269853099 599.368316650390625 344.503242821610911 592.46014404296875 340.514168114579661 592.46014404296875 348.492302269853099"></polygon>
    </g>
    <rect x="599.437626515587908" y="314.503235833915824" width="120.000000000007276" height="60" rx="4" ry="4" style="fill: #2a2aea;"></rect>
    <g>
      <line x1="719.437622070313409" y1="344.503242821610911" x2="732.080810546875" y2="344.503242821610911" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
      <polygon points="730.91363525390625 348.492302269853099 737.821807861328125 344.503242821610911 730.91363525390625 340.514168114579661 730.91363525390625 348.492302269853099"></polygon>
    </g>
    <rect x="737.891103005447803" y="314.503235833915824" width="110.000000000003638" height="60" rx="4" ry="4" style="fill: #2a2aea;"></rect>
    <g>
      <line x1="847.89111328125" y1="344.503242821610911" x2="860.5343017578125" y2="344.503242821610911" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
      <polygon points="859.36712646484375 348.492302269853099 866.2752685546875 344.503242821610911 859.36712646484375 340.514168114579661 859.36712646484375 348.492302269853099"></polygon>
    </g>
    <rect x="866.34457949530406" y="314.503235833915824" width="135.000000000003638" height="60" rx="4" ry="4" style="fill: #2a2aea;"></rect>
    <g>
      <line x1="1001.3446044921875" y1="344.503242821610911" x2="1049.98779296875" y2="344.503242821610911" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
      <polygon points="1048.820556640625 348.492302269853099 1055.728759765625 344.503242821610911 1048.820556640625 340.514168114579661 1048.820556640625 348.492302269853099"></polygon>
    </g>
    <text transform="translate(202.160614013671875 341.1949462890625)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">rtph264 </tspan><tspan x="5.52685546875" y="16.7998046875">depay </tspan></text>
    <text transform="translate(308.508514404296875 348.5948486328125)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">h264parse</tspan></text>
    <text transform="translate(414.049045562744141 348.5947265625)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">V4l2h264dec</tspan></text>
    <rect x="520.914858198906586" y="298.179437534410681" width="60.069291909066123" height="76.323798299505142" rx="4" ry="4" style="fill: #007884;"></rect>
    <text transform="translate(541.280517578125 340.4324951171875)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">tee</tspan></text>
    <text transform="translate(610.899032592773438 348.0101318359375)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtimlvconverter</tspan></text>
    <text transform="translate(760.098846435546875 331.794708251953125)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtimltflite/</tspan><tspan x="-2.73095703125" y="16.7998046875">qtimlsnpe/ </tspan><tspan x="3.55810546875" y="33.60009765625">qtimlqnn </tspan></text>
    <text transform="translate(877.618865966796875 348.5946044921875)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtimlpostprocess </tspan></text>
    <text transform="translate(1006.10797119140625 335.954742431640625)" style="font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">sink_1</tspan></text>
    <rect x="76.788064468138145" y="314.503235833915824" width="86" height="60" rx="4" ry="4" style="fill: #007884;"></rect>
    <line x1="64.119101769035296" y1="344.503235833915824" x2="76.788064468138145" y2="344.503235833915824" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <text transform="translate(96.22119140625 348.025390625)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">rtspsrc </tspan></text>
    <g>
      <path d="M41.277242983703218,340.853235833912549c.001393890380314-.745582866666155.606937980652219-1.348867893218994,1.352521705628533-1.347474002834133.248203468321663.000463485717773.491475105285645.069345188137959.703078651427859.199073982235859l6.595199203491575,4.048200130462646c.635238075255984.390344238281614.833762741087412,1.221743202209836.443418502807617,1.85698127746582-.110953330993652.180562019348145-.262856483459473.332465171813965-.443418502807617.443418502807617l-6.595199203491575,4.05000000000291c-.63563804626574.389691925047373-1.466832733154661.190314102170305-1.856524658203853-.445323944091797-.130368232727051-.212645530700684-.199274826049077-.457250976563955-.199075698852539-.706676673891707v-8.098199272157217Z" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
      <path d="M35.877242983703582,364.703235833916551h18" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
      <rect x="26.877242983703582" y="332.303235833915096" width="36" height="25.199999999998909" rx="2" ry="2" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></rect>
    </g>
  </g>
  <g>
    <line x1="26.877227783203125" y1="392.611023958590522" x2="30.877227783203125" y2="392.611023958590522" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <line x1="34.864944458007812" y1="392.611023958590522" x2="1049.73492431640625" y2="392.611023958590522" style="fill: none; stroke: #000; stroke-dasharray: 7.975402355194092 3.987701177597046; stroke-miterlimit: 10;"></line>
    <line x1="1051.728759765625" y1="392.611023958590522" x2="1055.728759765625" y2="392.611023958590522" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
  </g>
  <g>
    <line x1="63.431982738045008" y1="470.279959605726617" x2="76.100945437147857" y2="470.279959605726617" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
    <g>
      <text transform="translate(30.731170654296875 425.2796630859375)" style="font-family: Roboto-Bold, Roboto; font-size: 14px; font-weight: 700;"><tspan x="0" y="0">USB camera (Optional)</tspan></text>
      <g>
        <rect x="520.914858198908405" y="423.956161306219656" width="60.069291909065214" height="76.323798299506961" rx="4" ry="4" style="fill: #007884;"></rect>
        <text transform="translate(541.280517578125 466.2091064453125)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">tee</tspan></text>
      </g>
      <g>
        <line x1="580.984161376953125" y1="470.279960632324219" x2="593.627349853515625" y2="470.279960632324219" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
        <polygon points="592.46014404296875 474.269023895263672 599.368316650390625 470.279960632324219 592.46014404296875 466.290897369384766 592.46014404296875 474.269023895263672"></polygon>
      </g>
      <rect x="599.437626515588818" y="440.279959605726617" width="120.000000000006366" height="60" rx="4.000000000000004" ry="4.000000000000004" style="fill: #2a2aea;"></rect>
      <g>
        <line x1="719.437622070313409" y1="470.279960632324219" x2="732.080810546875" y2="470.279960632324219" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
        <polygon points="730.91363525390625 474.269023895263672 737.821807861328125 470.279960632324219 730.91363525390625 466.290897369384766 730.91363525390625 474.269023895263672"></polygon>
      </g>
      <rect x="737.891103005447803" y="440.279959605726617" width="110.000000000003638" height="60" rx="4" ry="4" style="fill: #2a2aea;"></rect>
      <g>
        <line x1="847.89111328125" y1="470.279960632324219" x2="860.5343017578125" y2="470.279960632324219" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
        <polygon points="859.36712646484375 474.269023895263672 866.2752685546875 470.279960632324219 859.36712646484375 466.290897369384766 859.36712646484375 474.269023895263672"></polygon>
      </g>
      <rect x="866.34457949530406" y="440.279959605726617" width="135.000000000003638" height="60" rx="3.999999999999992" ry="3.999999999999992" style="fill: #2a2aea;"></rect>
      <g>
        <line x1="1001.3446044921875" y1="470.279960632324219" x2="1049.98779296875" y2="470.279960632324219" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
        <polygon points="1048.820556640625 474.269023895263672 1055.728759765625 470.279960632324219 1048.820556640625 466.290897369384766 1048.820556640625 474.269023895263672"></polygon>
      </g>
      <text transform="translate(610.899032592773438 473.7867431640625)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtimlvconverter</tspan></text>
      <text transform="translate(760.098846435546875 457.57147216796875)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtimltflite/</tspan><tspan x="-2.73095703125" y="16.7998046875">qtimlsnpe/ </tspan><tspan x="3.55810546875" y="33.60009765625">qtimlqnn </tspan></text>
      <text transform="translate(877.6190185546875 474.3712158203125)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtimlpostprocess </tspan></text>
      <text transform="translate(1006.108001708984375 461.7314453125)" style="font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">sink_1</tspan></text>
      <g>
        <line x1="580.984161376953125" y1="430.282257080078125" x2="1049.98779296875" y2="430.282257080078125" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
        <polygon points="1048.820556640625 434.271316528320312 1055.728759765625 430.282257080078125 1048.820556640625 426.293190002441406 1048.820556640625 434.271316528320312"></polygon>
      </g>
      <text transform="translate(1006.108184814453125 423.60302734375)" style="font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">sink_0</tspan></text>
      <g>
        <line x1="162.170242309570312" y1="470.279960632324219" x2="174.813438415527344" y2="470.279960632324219" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
        <polygon points="173.646247863770441 474.269023895263672 180.554420471191406 470.279960632324219 173.646247863770441 466.290897369384766 173.646247863770441 474.269023895263672"></polygon>
      </g>
      <rect x="180.623720556167427" y="440.279959605726617" width="105" height="60" rx="4.000000000000003" ry="4.000000000000003" style="fill: #007884;"></rect>
      <g>
        <line x1="285.623720645904541" y1="470.279960632324219" x2="515.173873901367188" y2="470.279960632324219" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
        <polygon points="514.006668090820312 474.269023895263672 520.91485595703125 470.279960632324219 514.006668090820312 466.290897369384766 514.006668090820312 474.269023895263672"></polygon>
      </g>
      <text transform="translate(192.364410400390625 474.3714599609375)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">v4l2src_caps</tspan></text>
      <rect x="76.100945437147857" y="440.279959605726617" width="86" height="60" rx="3.999999999999998" ry="3.999999999999998" style="fill: #007884;"></rect>
      <text transform="translate(96.508209228515625 474.37078857421875)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">v4l2src</tspan></text>
      <g>
        <circle cx="46.741787881124083" cy="466.277260805456535" r="16.010795201080214" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></circle>
        <circle cx="46.7417878811234" cy="466.277260805456535" r="6.004048200404441" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></circle>
        <path d="M36.735040880447741,490.293453607077026h20.013494001352228" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
        <path d="M46.741787881123855,490.293453607077026v-8.005397600540164" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
      </g>
    </g>
  </g>
  <g>
    <rect x="1055.728757355998823" y="25.269775852515522" width="103.099004245519609" height="475.010183753211095" rx="4" ry="4" style="fill: #2a2aea;"></rect>
    <text transform="translate(1064.526310624962207 266.866081237792969)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtivcomposer</tspan></text>
  </g>
  <g>
    <rect x="1098.143947208120153" y="184.171195802486181" width="344.734762118669096" height="167.207343853269776" rx="3.999999999999998" ry="3.999999999999998" transform="translate(1538.286195996575771 -1002.736460538333631) rotate(90)" style="fill: none; stroke: #4d4d4d; stroke-miterlimit: 10;"></rect>
    <g>
      <g>
        <text transform="translate(1240.311405181884766 209.147979736328125)" style="font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">or</tspan></text>
        <text transform="translate(1240.311405181884766 324.557861328125)" style="font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">or</tspan></text>
      </g>
      <rect x="1198.918150437204531" y="114.745561953808647" width="92.474160625424702" height="54.774142029076756" rx="4" ry="4" style="fill: #007884;"></rect>
      <text transform="translate(1204.05792236328125 146.2237548828125)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">Waylandsink </tspan></text>
      <g>
        <g>
          <rect x="1305.072943595099787" y="129.455075749383468" width="36" height="25.200000000002547" rx="4" ry="4" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></rect>
          <line x1="1315.872943595099059" y1="161.855075749383104" x2="1330.272943595100514" y2="161.855075749383104" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></line>
        </g>
        <line x1="1323.072943595099787" y1="154.655075749386015" x2="1323.072943595099787" y2="161.855075749383104" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></line>
      </g>
      <line x1="1291.392311062629233" y1="142.132632968347025" x2="1304.061273761730263" y2="142.132632968347025" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
      <rect x="1198.918150437204531" y="232.520415655249963" width="92.474160625424702" height="54.774142029075847" rx="3.999999999999091" ry="3.999999999999091" style="fill: #007884;"></rect>
      <line x1="1291.392311062629233" y1="259.907486669788341" x2="1304.061273761730263" y2="259.907486669788341" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
      <rect x="1198.918150437204531" y="350.295269356691279" width="92.474160625424702" height="54.774142029076756" rx="4" ry="4" style="fill: #007884;"></rect>
      <text transform="translate(1215.44122314453125 381.20452880859375)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">qtirtspbin</tspan></text>
      <line x1="1291.392311062629233" y1="377.682340371229657" x2="1304.061273761730263" y2="377.682340371229657" style="fill: none; stroke: #000; stroke-miterlimit: 10;"></line>
      <g>
        <path d="M1319.472943595099423,373.554392155627284c.001393890381223-.745582866664336.606937980661314-1.348867893218994,1.352521705630352-1.347474002832314.248203468319844.000463485717773.491475105291101.069345188137959.703078651429678.199073982235859l6.595199203489756,4.048200130462646c.635238075261441.390344238279795.83376274109105,1.221743202208017.443418502811255,1.85698127746582-.110953330990014.180562019348145-.262856483461292.332465171813965-.443418502811255.443418502807617l-6.595199203489756,4.05000000000291c-.635638046269378.389691925047373-1.466832733160118.190314102168486-1.856524658200215-.445323944091797-.13036823272887-.212645530700684-.199274826049077-.457250976563955-.199075698859815-.706676673893526v-8.098199272157217Z" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
        <path d="M1314.072943595099787,397.404392155633104h18" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
        <rect x="1305.072943595099787" y="365.004392155631649" width="36" height="25.19999999999709" rx="2" ry="2" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></rect>
      </g>
      <text transform="translate(1222.90069580078125 264.40716552734375)" style="fill: #fff; font-family: Roboto-Regular, Roboto; font-size: 14px;"><tspan x="0" y="0">filesink</tspan></text>
      <g>
        <path d="M1329.822943595099787,237.407486669788341h-20.25c-2.485281229019165,0-4.5,2.014718770980835-4.5,4.5v36c0,2.485283374786377,2.014718770980835,4.5,4.5,4.5h27c2.48528337478092,0,4.5-2.014716625213623,4.5-4.5v-29.25l-11.25-11.25Z" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
        <path d="M1327.572943595099787,237.407486669788341v9c0,2.485281229019165,2.014718770980835,4.5,4.5,4.5h9" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
        <path d="M1318.572943595099787,257.657486669788341l11.25,6.75-11.25,6.75v-13.5Z" style="fill: none; stroke: #000; stroke-linecap: round; stroke-linejoin: round; stroke-width: 2px;"></path>
      </g>
    </g>
  </g>
</svg>
**Figure : gst-ai-object-detection pipeline**

## Input and output capabilities

The following table summarizes the input and output capabilities supported by the sample application:

| Config | Input | Input | Input | Input | Output | Output | Output |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Config | File src | RTSP | USB camera | MIPI camera | File | Display | RTSP |
| Config #1 | Yes | Yes | No | No | No | Yes | Yes |
| Config #2 | Yes | Yes | No | Yes | Yes | Yes | Yes |
|  |  |  |  |  |  |  |  |

## Sample model and label files

| Runtime | Model files | Label files |
| --- | --- | --- |
| Qualcomm Neural Processing SDK | *yolonas.dlc* | <ul class="simple"><br><li><dl class="simple"><br><dt><em>yolonas.json</em></dt><dd><ul><br><li><p><em>yolov8.json</em></p></li><br><li><p><em>yolox.json</em></p></li><br></ul><br></dd><br></dl><br></li><br></ul> |
| LiteRT | *yolov8\_det\_quantized.tflite*<br><br><br>*yolox\_quantized.tflite* | <ul class="simple"><br><li><dl class="simple"><br><dt><em>yolonas.json</em></dt><dd><ul><br><li><p><em>yolov8.json</em></p></li><br><li><p><em>yolox.json</em></p></li><br></ul><br></dd><br></dl><br></li><br></ul> |
| Qualcomm AI Engine direct | *yolov8\_det\_quantized.bin* | <ul class="simple"><br><li><dl class="simple"><br><dt><em>yolonas.json</em></dt><dd><ul><br><li><p><em>yolov8.json</em></p></li><br><li><p><em>yolox.json</em></p></li><br></ul><br></dd><br></dl><br></li><br></ul> |
|  |  |  |
|  |  |  |

## Run the application on the target device

The sample application uses the `/etc/configs/config_detection.json` file to read the input parameters.

To create your own config JSON file, use [config_detection.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-object-detection/config_detection.json?ref_type=heads) as a reference.

1. Ensure that you complete the [Prerequisites](https://docs.qualcomm.com/doc/80-80021-50/topic/download-model-and-label-files.html).
2. 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/80-80021-50/topic/gst-ai-object-detection.html#section-qjx-hqq-32c).
3. Use the following format of the `/etc/configs/config_detection.json` file:

{
          "file-path": "<input video path>",
          "ml-framework": "<snpe, or tflite or qnn framework>",
          "yolo-model-type": "<yolov8 or yolonas or yolov5 or yolox>",
          "model": "<Model Path>",
          "labels": "<Label Path>",
          "threshold": "<Post-processing threshold, integer value from 1-100>",
          "runtime": "<dsp, cpu or gpu runtime>",
          "output-type": "waylandsink or filesink or rtspsink"
        }
        Copy to clipboard

    An example format file for Config #2 and Config #1 is as follows:

Tab Config #2
Tab Config #1

For example, run the application using input from the video file, LiteRT, YOLOx model, DSP runtime, and custom threshold value:

{
          "file-path": "/etc/media/video.mp4",
          "ml-framework": "tflite",
          "yolo-model-type": "yolox",
          "model": "/etc/models/yolox_quantized.tflite",
          "labels": "/etc/labels/yolox.json",
          "threshold": 40,
          "runtime": "dsp",
          "output-type": "waylandsink",
          "snpe-tensors": "<Model output tensor name>"
        }
        Copy to clipboard

For example, run the application using input from the video file, LiteRT, YOLOx model, CPU runtime, and custom threshold value:

{
          "file-path": "/etc/media/video.mp4",
          "ml-framework": "tflite",
          "yolo-model-type": "yolox",
          "model": "/etc/models/yolox_quantized.tflite",
          "labels": "/etc/labels/yolox.json",
          "threshold": 40,
          "runtime": "cpu",
          "output-type": "waylandsink",
          "snpe-tensors": "<Model output tensor name>"
        }
        Copy to clipboard

Note

Config #1 supports only LiteRT models and the CPU runtime.

Note

The `snpe-tensors` field applies only to the SNPE runtime. To retrieve the output tensor names for a DLC model, open the model in [Netron](https://netron.app/).

Note

When using DLC models from the AI Hub, the `snpe-tensors` field is optional.
4. Run the gst-ai-object-detection application:

gst-ai-object-detection --config-file=/etc/configs/config_detection.json
        Copy to clipboard

Note

For USB camera input, set the `video-format`, `resolution`, and `framerate` parameters in the configuration file to match the capabilities of the camera. To check the camera capabilities, see [Configure USB camera](https://docs.qualcomm.com/bundle/publicresource/topics/80-80021-8/usb.html#configure-usb-camera).

Note

The `Yolo-NAS-Quantized.tflite` model can be run using the YOLOv8 value in the `yolo-model-type` field.
5. To display the available help options, run the following command in the SSH shell:

gst-ai-object-detection -h
        Copy to clipboard
6. To stop the use case, use **CTRL + C**.

## Expected output

![../../_images/gst-ai-object-detection.png](data:image/png;base64,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)

**Figure : Expected output for object detection and display using RTSP stream–Preview**

## Pipeline flow

The following table lists the plugins used in the object detection pipeline:

| Plugin | Description |
| --- | --- |
| Camera source: [qtiqmmfsrc](https://docs.qualcomm.com/doc/80-80021-50/topic/qtiqmmfsrc.html) | <ul class="simple"><br><li><p>Captures the live stream from camera.</p></li><br><li><p>Uses tee to split the stream for inferencing.</p></li><br></ul> |
| File source: filesrc | <ul class="simple"><br><li><p>Captures the video stream using filesrc, followed by qtdemux, which demultiplexes the stream.</p></li><br><li><p>Uses tee to split the stream for inferencing.</p></li><br></ul> |
| RTSP source: rtspsrc | <ul class="simple"><br><li><p>Captures the RTSP stream using rtspsrc, followed by rtph264depay for video extraction.</p></li><br><li><p>Uses tee to split the stream for inferencing.</p></li><br></ul> |
| USB camera source: v4l2src | <ul class="simple"><br><li><p>Captures the live stream from USB camera.</p></li><br><li><p>Uses tee to split the stream for inferencing.</p></li><br></ul> |
| h264parse | Parses the H.264 video. |
| [v4l2h264dec](https://docs.qualcomm.com/doc/80-80021-50/topic/v4l2h264dec.html) | Decodes the video. |
| [qtimlvconverter](https://docs.qualcomm.com/doc/80-80021-50/topic/qtimlvconverter.html) | <ol class="arabic simple"><br><li><p>Receives the video stream on its sink pad.</p></li><br><li><p>Performs the following preprocessing on the stream data. This preprocessing is done when the model expects floating-point values as input.</p></li><br><li><p>Color conversion</p></li><br><li><p>Scaling (up or down)</p></li><br><li><p>Normalization</p></li><br><li><p>Converts the preprocessed video stream to a tensor stream on its source pad.</p></li><br></ol><br><br>The tensor stream is used for inferencing in the later stages of the pipeline. |
| Inferencing plugins:<br><ul class="simple"><br><li><p><a href="https://docs.qualcomm.com/doc/80-80021-50/topic/qtimlsnpe.html"><span class="doc">qtimlsnpe</span></a></p></li><br><li><p><a href="https://docs.qualcomm.com/doc/80-80021-50/topic/qtimltflite.html"><span class="doc">qtimltflite</span></a></p></li><br><li><p><a href="https://docs.qualcomm.com/doc/80-80021-50/topic/qtimlqnn.html"><span class="doc">qtimlqnn</span></a></p></li><br></ul> | <ol class="arabic simple"><br><li><p>After the inference runtime receives the tensor stream on its sink pad, it runs the inference.</p></li><br><li><p>Produces a tensor stream with the inference results on its source pad.</p></li><br></ol> |
| [qtimlpostprocess](https://docs.qualcomm.com/doc/80-80021-50/topic/qtimlpostprocess.html) | Handles inference results from any object detection model. 1. Applies a threshold to the chosen number of results. 2. Loads the YOLO (YOLOv5, YOLOv8, or YOLO-NAS) module. 3. Produces video frames with only bounding boxes that can be overlaid on objects. 4. Sends these processed frames to the sink pad of qtivcomposer. |
| [qtivcomposer](https://docs.qualcomm.com/doc/80-80021-50/topic/qtivcomposer.html) | <ol class="arabic simple"><br><li><p>Composes frames with contents from its sink pads.</p></li><br><li><p>Pushes the GStreamer buffers containing these composed frames to its source pad.</p></li><br></ol> |
| [Waylandsink](https://docs.qualcomm.com/doc/80-80021-50/topic/waylandsink.html) | <ol class="arabic simple"><br><li><p>Waylandsink submits the video stream received on its sink pad to Weston.</p></li><br><li><p>Weston renders the video stream on a local display.</p></li><br></ol> |
| filesink | Receives the video stream on sink pad and saves it as an H.264-encoded MP4 file. |
| qtirtspbin | <ol class="arabic simple"><br><li><p>Serves as a network sink.</p></li><br><li><p>Transmits UDP packets to the network.</p></li><br></ol> |

## Config JSON field description

The different parameters available to configure the JSON file and run the use case are as follows:

Table : Field description–config_detection.json file

| Field | Values/description |
| --- | --- |
| **ml-framework** | Use one of the following models:<br><ul class="simple"><br><li><p><code class="docutils literal notranslate"><span class="pre">snpe</span></code>: Qualcomm Neural Processing SDK</p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">tflite</span></code>: LiteRT</p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">qnn</span></code>: Qualcomm AI Engine direct</p></li><br></ul> |
| **yolo-model-type** | Run the `yolov5`, `yolov8`, `yolox`, and `yolonas` models respectively. See [Sample model and label files](https://docs.qualcomm.com/doc/80-80021-50/topic/vision_ai_demo_app.html#section-ohr-1qq-32c). |
| **runtime** | Use one of the following runtimes:<br><ul class="simple"><br><li><p><code class="docutils literal notranslate"><span class="pre">cpu</span></code></p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">gpu</span></code></p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">dsp</span></code></p></li><br></ul> |
| **Input source** | Use one of the following input sources:<br><ul class="simple"><br><li><p><code class="docutils literal notranslate"><span class="pre">camera</span></code>: Primary (0) or secondary (1).</p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">file-path</span></code>: The directory path to the video file.</p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">rtsp-ip-port</span></code>: The address of the RTSP stream: <em>rtsp://&lt;ip&gt;:&lt;port&gt;/&lt;stream&gt;</em></p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">enable-usb-camera</span></code>: Set to TRUE or FALSE.</p></li><br></ul> |
| **output-ip-address** | Output server IP address. |
| **port** | Output server port. |
| **output-type** | Use one of the following output-type:<br><ul class="simple"><br><li><p><code class="docutils literal notranslate"><span class="pre">waylandsink</span></code>: To display output on Wayland.</p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">filesink</span></code>: To store output in file.</p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">rtspsink</span></code>: To stream output on server.</p></li><br></ul> |
| **snpe-tensors** | `["output-tensor-name","output-tensor-name"]` |
| **USB camera video-format and resolution** | Use one of the following video-format:<br><ul class="simple"><br><li><p><code class="docutils literal notranslate"><span class="pre">nv12</span></code></p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">yuy2</span></code></p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">mjpeg</span></code></p></li><br></ul><br><br>Use one of the following resolution fields:<br><ul class="simple"><br><li><p><code class="docutils literal notranslate"><span class="pre">width</span></code>: Input USB camera source resolution width.</p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">height</span></code>: Input USB camera source resolution height.</p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">framerate</span></code>: Input USB camera source framerate.</p></li><br></ul> |
| **output-file** | Output filename. The default output file is `output_object_detection.mp4`. |

## Known issues

Tab Config #2
Tab Config #1

- Lag is observed in object detection with camera source and file source as quantized models aren't supported in the TFlite IM SDK framework.
- The application may intermittently hang during the `gst_deinit` phase.
- The GPU delegate doesn't function in the QNN and TFLite IM SDK frameworks.
- Bounding box isn't observed with the camera source input.

- USB camera input isn't supported.
- Video encoding use case isn't supported.

## Related information

- [Object detection and display with LiteRT](https://docs.qualcomm.com/doc/80-80021-50/topic/single-camera-stream-with-object-detection-and-display.html)
- [Object detection and encode with LiteRT](https://docs.qualcomm.com/doc/80-80021-50/topic/single-camera-stream-with-object-detection-and-encode.html)
- [Object detection and display with Neural Processing SDK](https://docs.qualcomm.com/doc/80-80021-50/topic/single-camera-stream-with-object-detection-and-display-with-mobilenet-v2-ssd.html)
- [Object detection and encode with Neural Processing SDK](https://docs.qualcomm.com/doc/80-80021-50/topic/single-camera-stream-with-object-detection-and-encode-with-mobilenet-v2-ssd.html)

Last Published: Mar 26, 2026

[Previous Topic
Image classification](https://docs.qualcomm.com/bundle/publicresource/80-80021-50/topics/gst-ai-classification.md) [Next Topic
Pose detection](https://docs.qualcomm.com/bundle/publicresource/80-80021-50/topics/gst-ai-pose-detection.md)

Source: [https://docs.qualcomm.com/doc/80-80021-50/topic/gst-ai-object-detection.html](https://docs.qualcomm.com/doc/80-80021-50/topic/gst-ai-object-detection.html)