# 人脸检测

Source: [https://docs.qualcomm.com/doc/80-70017-50SC/topic/gst-ai-face-detection.html](https://docs.qualcomm.com/doc/80-70017-50SC/topic/gst-ai-face-detection.html)

**gst-ai-face-detection** 应用程序从摄像头、文件或 RTSP 流采集实时视频输入，并使用 Qualcomm AI Engine Direct 的人脸检测模型生成预览，并在 HDMI 显示器上面叠加 AI 模型输出。

注释： 此示例应用程序目前不适用，它将在未来版本中得到支持。

该图显示了一个 pipeline，该 pipeline 接收输入，执行预处理，在 AI 硬件上运行推理，并在屏幕上显示结果。

有关 pipeline 流中使用的插件的信息，请参阅 [Pipeline 流](https://docs.qualcomm.com/doc/80-70017-50SC/topic/gst-ai-face-detection.html#gst-ai-face-detection__section_kjz_ll3_4dc)。

Figure : gst-ai-face-detection pipeline
            
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xhLEpreDDQ/jAsc6OdAqOpQaUAQWxXtbojYN/ofkkU+r0UZocgUHDDawZVbYI7eqyOYCPspy+HnIAoc0U4tYP7YHwvBc9nfmA5sS+7jGoVQYy8FAzbFY3/VAAqxWm7baqxUg5b82s9yhnrAvGVHDwH1LpEPF/bd3KgwY8VwHnxpBPM88t2IwP8/D9YT7qSvOnHzqUPr8RG6ybmfs4WBmAcaq6Vq0PtHeXqKFmBc4nuRSaGvyQn3gAw6GAABRN14jBQlv9IczxCNgnbG1gQvEtjAPefTKDVxv7Sfxx/NBDeKR0Nd4COstyoAv4Ce+yZq/lY2HryNKD0vBCQ20DewacxTgxtp7hOd4je4SrztQwSUV9HLLkOg69lXV0DfuMVMsqewM9MJsGAlbq1MD2ZomjXgo3F5odklAS3rPoKNCZ/f7nJHAHbs9QPs0h3VYIWD7ppuVeF+xwZ9xQxyPnSnba++/+8x6DK7etVtC/k4DHrwHnbmUEZs+aqsPll7cqM244vCvbpxDFZCg9uMoXjhPYgPOl4OSy95xbU+MAfS+ycpOB/I0KMy/khBR4WGBVxjU9EW9zFhvx82n+WmNWH976bvPYcB1W10BlQhI18PfVcfM/OoKZ2RyxeFzBL53yvT317LqvdTIEJgm/tkbl4yzFCPvEY/2SpPwlhd8TtXU04S0x+Kmh6ucTF2vklwgnaW//GeliJ2dPNiPBy88J9O6LryGV8lFEjOaEI+QnjTCbyuBC7ps/fqpuPz9Yig1bnhNj+1ogGWq/8z5bljlLQ6jO3UcqkZIo9rCh1XVJ6NLFEVaBY8ZEMkoBjRSYzbWWdyn0BMGtTo2NHPys3Hy96Vw19CwtprQk0V2Q4GQR5PAQF0AAAARoNPvnCCsS43wnAyouUM+ulHzLOQuQMsgnf2tOr8QlI6Dj5dRWedh46uIE4MBne1CMcp9MS5+eIw1XvLrOls+guzkDKSDkfkb974Cz74FMZvBpTYFVDo14nh/871cy51y/vtsEnDAz6pFVPcJxcVoWuowfkZ/9aJjpAA9Z4/uMhPI3gbqBdC7g4uTAOlEWRYNVAGWcB+odcPE0neNZaFuJZO/DN9DKT6QcWM+d5Aiaevyqp49urh7cG2ExrrwSWrSidCcIfpuxs4xylZwr9xxUN4+ziBgXbG0ahiS+hBQSJkz/WIlhjWEcecAahznUAcrGMWNRX0ZwWbItdqvDx1rfKIQ7z0T0a9acFhz66dW7bW5y/PL3qTLFAGTEIZXOUjIMSgu1CsocJ0fajK/wF+sPT/4r/KBKUzstSYd+LBiCppS7RyqR/9dTvahBJAamaYNeFD8xonOHXLupWaG2YdLgWZ8DjiCmB61mvkPbURQjBom77MNvCi/9px4sPR5Bl/IhyNFB4B8UkIkCyxcv7mrM0WsNHwypXWkA09gxEo0R5fZFBW4saF/oB8GTuZaSI+EQPYfNW87qQq7QtphA62FPAKtFm+X9doN56QyLa0CJlnBUXxJSumQv17uV4lxpfKbNJsWM8KrL2vwxVmQXqfAikgN3Ra5P1XpRWGNw3jnD73WS1aNBd+4mAi6rompM8J0WJK9l5BB1RfN2EeeH3OPDcA93xocUgW70sWsO2VsnAL6eQ1lgZVcpILg9WzlGKrwJEyPl8IqxMB50hpW/VNhBi/zDDSQ5TCas870pEbTEi5yEXNCeSTTBPyk0vWBwyxQ2a518bBgTYUeYXWRlR/m0KnLx3tH5spiuIM/lYFHt9flXZFFxdQ1bgnGOBYcrBDE6pDc0HydO7qVNFzu1YPOc6TgT6YZ4YSebSXUDDzAKefbqJzf5nZne1XfA9xPRTc/wT9VYZsmDYInja1isAa77bisTkFAf84uWAzE8MrP6+pkEe1OTyyCF0frbFUtZkqblivhma+aOPzhZy7lCY69wOBkhsFdvmmskDOMbTdUwua/Zq2KCelsnRYdSKjpUBSGGeoZWm6xHg0q8j0Nb1L4LENyof4OT4nbo+4FAanSA+G2zNo2UgzPYUbqGNVvjvgT2Hf5Y9TXXGELPaeG2o6Y3X3AH47pxYTDubvqbH+PLtPEA9m7RG0eoMCX9aLUeP988J3EJk3AZCx1NBLJwrLfpunsr3In2vgSmvduxOHsuF57EnDpg31oAlQlnYOYKvNJwQRwKUsGTliylc1Vrsf0VapxaUVyO9owlI3sXuJD/yVa4UprtWaCGSw/VucS1DT5I0CfxzmBeGbeZ/+xcVwW8s3ZokvJCMU7EXxqHFFxIO+6IIKo41JRpFbqEus7z3r8MYFK/64ThpG/INe+qRHX+dhxQZMKfSQpLxjMmLY60KW3Vr/9HOkJiP5hFpTqGIr0p9D5rvTwzsfChLzKRGxSqrrawzKcyalE13PKCEWAeXHtOjj+38DSckpZ0c7DX9PP24VCpKDJdHxvSkqQdWps0uGKgRgwqfVp9wa6DsXzyKpt8nKETs7giGYCrxuPnZlWUN7erzWXbMOzajwZ513QL3mdQ3yv0yZX+0HBtBR7rvIVRzJbXnaK2BSXKzbGHReNbvZzZksWwSv4vWCZ908DO5Isb/wDknbR6X6g0YTAv6C05/vg+jdShn7cFyX+SMgmwIJ7RxmGn+FijlK19Rq3FPR8rzNoglRO2e3jfVnSLeEGq8bN37ITlYPxFqgf722mP4EJy+2N2rfWEZLhUWmMdYjUqPPIf2bhL6tDsbhF/bo8JsZ4UliKpYyZyHPipe4Ey6ZdOo3LLhkKRldKrKL1vPC7w7PWpdkRsTeL7jNLkz6cqrkSN5/tTXQRhvp4Dsrx9Qj2Rcjqve98bYrsrjovxvDGt+/2CguEt7bg0lBNSMPGlL4iUQnQM0qcvOiZAeNkM7lwKPPRAKfYZn/QYmHIIz05L+UfLY3jbjFtCf81K4QFAODNNkfEssYJLa1dbRNbUqy9FymLnbPKl1NXTZsilzfEJ77Z5VlmzHXUceLxDsDRP8fOc9W+ZMczinIYEkzpRuuZ/TZt0aucUZ+l7+mf4Rg6GhaHONWsx3fEORoo4KjfrqqBKVmZzkMKehY84JoKkUiGReWgLA6EG5Z3F/I8Yxuy17zg0tjaQAesERPi0kcWIgH1jJNrAnEXMjV7YlR2sCQU5pzeXqbWfM8uIrIxD45c5opkQfRiHxoINyvrCrHp5HsMpIGuTEdt8EZMdT8F7XYdwVCNf3voYAADEwFUJM/jJP+Q+5bMcuz3WhayAAgW7v2tqjHiKvSRW0i6NaX1z7AO4zEgNDTz3qwohoMXg/zgtChIHNHjevx0Wu5QfpPI6SZC9a52MjWQi2tKKBgAAAKHd+RFCXKIK7iYnLGAxDWDo911uB4R/zIHLjszMsIl8QfJFKO6j0F2EKVDW6Bz9p99XCvfKCXdQehvJ/vVt58OsriF3QO8EWvh8HlcxU+xetrX2zE3amJT9K+7ZL7Ht+mTyRKlzdNQFt27uphJLcf+qZH8OgNPmptowMsoXf3voYAAAG3hJi3SaDfAAAAFy5/0b58ClM8cf9YqfRBKPjGAGHQwAABl+SYDC/g5p4GDz+6dbCYk9mkxgdPo/Uua3Z57wMwr6eg0f7/FV9IK7kX7gAABHPyQh8iDQfLxT8+AboAw6GAAAJ/1ejnXdFrybXor3l3k/g+Ap7uA7mdv4AAAASxYB2ltJQZ/iSECsEvIVc9sirYEYCiiWDEsGJYMSwYlgxLBiWDEsGJST146w7cm/tQEchXVcegJIBFoNjt10VJQhk8ZYgXwgiaTSfZSAoolgxLBiWDEsGJYMSwYlgxLBiWDEsGJa0q1vBrADDoYAAAMDikAfNxTxH5uKeI/NxTvp/AAAC/OHwBZCAABLv730MAAAAAAAAAFU+AM38AAQAAYdDAAAAAAAAAIZ8AAAABwgDDoYAAAAAAAABBuf4AAAAFK/vfRFuN8o2p2iAAAAAAAAAAg3wAAAAG6AMOiULFBJD74uea/aI2BpuR2Nbgetw5gXQP/dOzRdmQeVpGQj8yRGQj8yRGQj8yRGQj8yRGQj8yRGQj8yRGQj8yRGQjogDI5Qb8NCL31X6DUu9u/9luAAAAAAACxfAAAAAl3976LsU1n6ETiGAK6d3wAAAAAAAsjh8AAAAChf3vo06WTNUvnSAAAAAAABFvgAAAAOcAYdGpI2Bf/4MAAAAAAAGD+AAAABkADDo04B0i+LIQAAAAAAAJFz/AAAAApX976NRxdApxAAAAAAAAk3wAAAAG6AMOjTgHSMxgBAgAAAAAAASD4AAAAK6RQmnQr20ADRGVPBWwxntwi2Z9NpZh0p268t5KvAHvRdGvOLUy9DQIBCkQfYNe4mHHYRyhXo3Z2zx/hTlz37aVUUOTjsCo42Jq/VySw1bqdS/C6FlJpVoa6McrcLMSEaSC13IML9+MDT1Ja/s9NqM2IZarzPmDzk9jJ/fXMUbH6GGHsFK4K6lJqi4bhktLy9tiHxVR6zWPH5T2ttNjJmCc4YYi00B/Qc9I+ocC3ZT56FzsM7J+KOOBQIV6yqslTxlgTTBK0eSVN8KYqS2gJrUsZXydWO69SHDQmEfYqaB6progRHLca1KzpfifbioJa4hmCuMucIAw6NRxdiRYDi4DZBYbzRMTIcRHmfK4DvPJPkgmQtCGxfLfaf9dtw1f+tzcluI/6dS3Q0jZH/u2SuhAA+qs/x1Co2fqrBuY3glhgWXdameiV+Tk2t6Slc6EBBQOVAjvDfp/cMsr3pXS6cfCmlI8Hal08ELzuQI/3ZhrbjH3YGVblDQ8g+N6d9LQqtEto8931uEhvS+9QfQPRkAAAAAAEecPgAAACWvCvN50hCUz6MfnNNBhISr1gMwo1WkTC6BxA2lUPqbxrLrP8D67zZpdF1I1PuTV6YfVF4JZor972E3+lYG0C8WFc9/DbQ/xYOceLOwflHKgLEkvmYf5MECV2BZMtueXNget8Xy65WdWvFB9L0IM2fqIcvwrzMViF8IeqkP8tkitaRwoJZco5cUc3j3R4r52iZrLhQBHok4+a08SjDbC8o01uYYiTagU1DRAvPEMufdIcKzixtJEzzqpq7R7iOobOANlqJRldaHG03+MqwiykVTvNOcacQAw6NOAdIzWvh2RTseAfiQWU0SDzBHpzKfXOdIo3YBR9WHC67q+lfvPIPv5L4CjfT9xUpBzy7VPle0kgui5SjKURDlsGS2q/qKpiHRNptWcOBuvh7GjYHadNa2FocVPGDdmgCSC0j+SM7GDGrGvspwWUGOXWAxjwPd5wqiW7en335A6qIDMv+iVv7hZxJyWbHVddJKBDXXVuQuFT3Vgf47uejYoFwTZILfBagAPQlO/wBmn8t3Ie1Kk0QaQ5U5lh9NaBYq99dbkubky+7cv2C3E6Ykw/WYuJ/xqOi2y6HATTG6rkUYxkTxiQdSu3PAk9/nrwQrvQ9ukkwM502w4PjP/NdGj++Kfy9b6K5TkLN1QtTp0qnv+HA4MD6mZehW4R75P5slyr7gdsvUQv7l+V6RjEZfY657C55qmriaz0To8FfVRbZoyj+d2qUDb1dwDyWoRvnT45Y1TLfBdYIIsDdXmtaon/cm0mGvMpNLVqZ2WnVOU/0SKbaMxMzO8mym8uRtER2xurJRGIRPOFksu7qJW/4pInqwZKJndwEvCu1V2726KIjEoq1CSfxz2Ta+gdTL0KYoT9hwHrWBPt1rgd7b+4kVqG2TCymEN6/SxTQReo9CXDTfq1ZaaEJkyI8kxvka4obhzztulmYRJ1BqZdsyxuG/QVn2bdrJUOxRnW1hbPVNRJ/ze9wZVuOR+YChpygKOzsb3Wel9QlP8/7Nh7MLA+o/zg5w5CA1ySaNwZKUQYKZ+WQEf18b0weSgzQ9xLn0G3R1BhPqGiBV2cj+9Pbfj/N3U6I0PGZowF1/k2w3+HS+CyRRAsk5g5LWW0C5TFsVugWzetazxmbAq+APImEBwaXh8cpGDKmzDiVB4xXmTGjYEo8dfEm0KMQJ/RyvWL9Cb3/stZChWQr2y6K6z0NthT7nL6KEAAAAAAMP8AAAAAXW876t5GAMfUSzQTk7u0iEaOOs1dCBDlg3jfXYqy62emJZ/oyvvS2LOjBNOYQkFh7k9krNL+99Go4unkBfN5SxWevewaEtDJ39Td1UNuDu1AuMRl7hdubbJApAL1gcKsfaXzOGitjFwBMa2CegmAXIEv7NNLjT1tSz2Qir49FrFGBzv8N/rThiu/FCj9dP+EcRzBnZwmrRpBK8pXhwS2Rq6Za6MW8hNgwWJuGmZFit+JMVzv6LCb+e5j1srzwEuqWzMwHWqUcBepOfSumT4Y3x3pwC8c9CO45WK76vXY8ykKxI0i1hQwwlG3haCmemt0sROgRgNWtkbJWTlxFoz8Mcrll8L7G14p9puTQr3XtNA/YtkV/Ebg+LHafVv8ikZ1a+5xG9yEapDFwQxcEMXBDFwQxcEMXBDFwQxcEMXBDFwQxcEMXBDFwQxcEMTrUqEaZXTGwtC8uoRsjchQ8lH7ocjH6jatgEQWVd2Dos9MoXAYAaeXoFgl0RvAVN7uu8lCin096bEBQOiMdS2UgRoUXfVMQlIZTEJSGUxCUhlMQlIZTEJSGUxB23rGaFVcWwi1Jk+rt7vaPLszgHePeOCqhuyX0QaJWhLqa3C1+mtwtfprcLX6a3C1+mtwtfprXKndHQE+2BV7If/tFbC2RM6stEuAkCfkB4VbGFYw/aTj80q3tIyOz3tRlslAAH0JW0rXKIGpLEDAAF78T00QT3ryYKtQK7P4fPRZqd94Ibu38KKofPHlPBceV2/hyPql8HGt7Trkn9dFpCbtXvNH976NOAdIvi3EAFGtue4kp7ZnMwIyNQYhspZPQ8ff1AZH3SEDhO7vCYQjgg6MyBovWcbvbPgFvmOO3h3bP1t2q0rml97YxOAVX3exidVIZ2J1kkhexidVIZ2J1kkhexidVIZ2J1klDhQ9E1MK9MYxjGn9AyjjF2OoOMV6YxjT4zLybugSo1507eD57MwHJMPp+ZdP8moaJ6/swg/C8412xb11qf2tra2tra2tra2tra2tra2lbd54j0yy/iPpkH5GRAsh51n6xDQKavu+iSvjVfXnSoJ3UUwbEmMM5tISEhISEhISEhISEg3kcvT6K12XpHe2N3auwBvSUrnQgIKCODixkNixel/mtuYeSj6NMyXu8PDw8PDw8PDw8PDw8PDw8PDw8PDw8KRBsduvIswfWy0psn4nFBU2AOfUGzbeqWMEkKnc+ebdpADDo1HF0CnEAKnxFhou+MOh4NNUS+d6FzilT1iCC/F1LTtxsKnlIdzaFWp/Z2VjGyN/BYrN3vO3Xc6KiKL9f+FuFAizEfr/fGc13gaGx9UnBgokYAB5gK3UfDouwYuvqhlxBamgmot1G6zpDKKOKYfmnyry82cPxiBoCzNLnab76laOmke2KyHkU5TlOU5TlO8OX8INZM4myBuwrGhxgc9yj2A1lvEKCFBCghQQoIUEKCFBCghQQoIUENjHbfgyQrsbOUidqnKtDTM3wABT5kYtdG+fFG+tVMOnOMU5NCFRVz5U6xjgZtaCh8ZhfDqTr2+1eZLLXlPVafE2Hav730acA6RgkUOoWUvhqpMqFzmzdEj79LFAT5xOrrW8RLuYIv481Il/Y7Pm8OHGLvC/bf9KVtzNB0bv2Po6sLo2yRT04fEoNQfAlNtkB24w4grp9GMnxvQWJSiMbynv8LGpcc+PWcAg4DogewQHrcJZkOKYRzyilF7f+ac+y3tKbeATI93fNC9z9hAre5FEhEoMVxmY7dgoQQlULPWL1y94KiafC9NSi+iLlv72oQ5BAkj73WuHdQAVmcWqmX2ic9EiHMMAcyhsemT6Sk4rKRO2kI2hADd7O4MwdAE72+8zmo/kh/N9YtnfGPS7B9UmZIcGl4uH+vVchDRryeWfL4PpgYl3ZyVzOjM3bgr6jBFhltX4T4AH+wnwdMpo98I49M2zghGG6ffFzyV/uvj6rE8gJJpdSytnXrp1opGyRvZG9S8kaZD+CIuhBqeHUKiEyLSdZkvoYKrymIZoAVRanHm66bhmz3BXR3DdcGb60pyiMhOuPPeQcmenOjZMyFl40qvXe7F7CdGnvSblAw4VwLrfuQKcMUD8M1d778361HXxPQQ0ZjBu36e0u0TPBOS0puvp3bkEqVTFK8Az59ofy9eA5ISXO4HwIpMZRicqv7sOfUY1IqcLleD/LN1sd3ysyI20IwwXDC3zSB4NgiqQRxOIgYswUh7qH+k5xIX5oSBaTDDXtxHsNSAvcTK2CQ6oTO5fZrYFasvXIUbh2e1q0vQQ1zf8cHWOhVOJ5Pg1vdk0kb53TyGUbS9TlJKnHmlhz5+oxmPBh8RnJpkxYN2SNUl5LvpheylZvnvX4Ye12zSIhlxcukKZhfVqq4JhyPQHU2RAz8YZfFEG0gNbg6Exyi5ALU4SGJojQpJj4AazmFNKT9m2bWdORDgnXswrn7ibIZioRDPGmloDtwIbPJLe21Mu+p70o8LAkvXZt4DBjo7dmOC4YHcalCzhrM5OKq0p7+YgpwmKmWaXLNoQp4FbrdTaE3LBDe1OWu9AvmU3pyxJjGPnI0C6KNnst3WjJHAhr/7E9TVxdXG6I64SYeOzROT6LuH4T3LO7vkR/ePkeja/5Oyc5AQJRC5Y6MayUtRjFz2cR9H8waIVZR35PRbSH9yVBwWJ+Kw31XyriHWcGWsHyKDnXaHknFsmJY784t162FW3XkmznbGodAqeHKVnH0y5o884MG0IdNP4zVIvO7NBgpy1kJ2WYv5lWIIK9l/+dTKhf+2MdRzFYQu107sEFFX9x5ogsI7rhQ4eMiAXogzvmtdYz8kUPDb5FrbeRVoB8gI3AIar4Co+6CvdpK968luykJ9hf00So2sKkli57hwNVMNCIpjVStMAXYN49JS9uQPPCHxnlQr02ZDyJ126BU3+BZs5vWaRM7+GccP0M37wazpBuoEI4I9tLSgR122KwA0HcVHLRhiv4wKSQfCXhXPWG0EuEYdPaZUvHDugl0Qee2iyZPxGqjrXZrBGsPCVfarPg2FyjKB76RK1AxILPJyI7XJkscNgayV2FyupQZ1UwV/BwiyiYFfsrnAm18MfVsdNBUOJwGQ65wPMCFNDbWZZnr8+FD2b/UFnZsV/2udoOugKcKCm+GDYk8zBMXC9CMmDD8ejRnOZyASyqbkwfriAwzofH/pMBhJsYYQAOQQIfwI4fxNqO3rV0Wis6jrJ4Dlged/aaCbBUb4sckhAPMrZ5rmyKjLfd4nVwdauI94A+M24LEDDKBbMb8GB+XI/S73oNsm53NQ8FGGucs8OTv+9vT/wvn9PiRScuf5OwjljQilsPBGZFhaJqb7fm2x+LHA4yzDD5jH26nCzQfX893+7lfX4jqrNDDccz6XdGe6JC0sRXPj7atss2lcSWGLcRH5LRt42lPcAVSn27ZXUPsUvE8Iuif3a9tOYT4P74msnU6Hl+8Vvo+amrInqBt8rsiqNU3ICRFUP0lo4GVbie/seUTdL//BjGzo52Fu0drdAGHRRivqClfp8zO3zdRTqxxddMuUiZNN+3LgX0EHiMGtziFPo/KWFccm+g6+2MSNom49CylN8rWodyFBBtMxKhSPlt6vW5hvHYDEHpsUS3vxvkq7QLGAIf30ETsKn8GlA9/ZfIGUCoYQef35QSfQjfwrMEwPgE1ddX1rizsD1n94kO6jftCxDVbzpDl07601dCyQbWkBlfmDu0i43NebRXtoU0aT3pZ6XWO3N7VaFfwtodxmH14SK/EpQu9dZGC2v8vHxQbEuF4rfJlFWJ1ToZjY0c36kmSB19Rm+KqRP7a6Y4+7cRF2MFqScaawcutnDDI2yxADPgVWegGmmTqumx7vP7A3gx+KxCs0PqiMJp12OWwXSDcWge5bCkfXQlM/J/5s+VWmgVOxD4HvHZkxoQeuIOsqQI+aBSstA6hij8skMxvs/ogpAIHw2K5s/222BFMiAQvraiYm1BL9RJFwIqg6Ur43LZ8toc1+aMaZHxzM0arBksxNdB29BQPoco7lGtnb7h2W6eew9c0GuPn+Jfk17Y0TfUkE5j/S9m1Z7tB3K54DhhhBgaT9cyxCsKDuiUrTJg+ZuwP3UCmgUHeYWCHHqAkMT7+OvmAzkbm+YpdA5V94ex/rI9/8ThxPAGsXjixvTs6iBroksP2rbA1WbQ943pOKvYB52Ehk2ZNAVVZTdkPXFOF2A1TwdG3dnza8hbiWnqB2FRk0x96CR66Mqk7WN/KCxyZunLZeXYjSz1zmxY3bf1jgdm8RL611zxdSWoRsleKvWyrQsuq8feX0XCwaWKecm1ADwnU3QhSnmNdqwl4PoYQ3WK/25MX5cDxhSwdnoB9/VebswAaV+859tG1LfFEUXZz9oPVUGGVG28IMvaik6yQyZxWJ8+6MKEJHuYTopzSAA/Bx9w/TBhjY0aWt734XArpwxUmEKKea1TVzOPqGPFq772jCIB6mIpl0unpjst0dmyQQAN7SPMct4nkqwp0cB0x5Cw0+QJbXZxYQSyjeqFVRxEFjCTb7JUOiTBhErbXRynuIo/xKirEk3+oVSN1afBFmnHhkcvKIVC6SQUnM0Y9zIsQG1/xBn1FAWI02y2N90x1LdCeL6oEzSPpQG2idASWq2l7R5aLxkDqP0aqut5NSED2UMP56dUmuHO5XP7eWjZNkyAiP9D1PJSvHLQahbeRCpRAJXYV63EnpKqQGcwO/zSULzFTTpomPzM2VFV6eD/yY2XeKlJQitSvmj7mNyfLav7e1T/or0YRypoajKd75xy4s8WGcBhvGgyvV11SaHduJZ318r+31d9IGOrP7ExgrWzQ1so0r/c60DMUKSCkYVoKBtC4gncwP19k9FtTQo78z3VJI/LEj+2T31QqxV3T8pwxY/8Hri8QVjfAVKzFYU+YYC7O9VbDV8NJ6784f0fCeFeycBF2Bbv0ARtOPsUqRtD9zbITYvgRiS0E+X7OcEwmYl3+GDANgSM0B2lnLtymz6w1K/NrnfB3o5W5RPPBliIpov/dBc7ZodQT3NcUwKWuFDLsWCRt7ZtRzIx2RS/iiLZl2iuAFyHj49UFkExpIQJzgqwOwgXdmZfMdOv75k7lchf15i6wyMzaNbVWyQrpsyU3eHGXwAAL325VA8tkMXM9X45gkVlQdOCw6JXLulxw0SyzAe7sC1+vVvIFI+OvLkrMaP6+xzKeG/Ji9rKhAkPhnsZgWcZ41rXXTqqwOmA21qXAXJJjS3fHPoD/cuh0inC/VERHgnNGEIeYZRCIC3g8flfMsWaVobs36qz43DG0ZUybMVReFteUkFr5VKea5nR2ZveWGrUg+SETmVxgQZW8Fg+ieVdap1bXOr8max4bvanHT5mNromdcBedmoLTg6GOCWTvHbg5uhN8W06HmxHFy9vDdQ0QkVlzIlvug7NIeyGlnWf5Ml6dt/HRYvV5nTb/qXf835nLan6LnEd872iCP38A4y7HGcjUmyE1NSFzmPIQ48R1d8dhapCFsE3niqj7g7aLlHB/baIDuZNRKzZ7BsvGQg2T0pHaGXr6Sbw37hWktEDERo9WLS2LqchqgeCAYtIt5B8+mGiHwECfbBkLE38VxA5jj/Lu5LQQSlgzm84AY+LlQ2LDDcEXddhL7Q0TIRX3LJ6WO//BkkpG9xWOEKbVTFrinl6mBP4efV+1lNU1z8z5MPGWYbIAxE95KUKEWElJbCF0tCLjw8oLVQb2f/XfOjSjqg2RLOkkN2A2gff8rae0RPIJcuO/be/ifzSJZrSzzp1rR/qcJYZhLKLW1TgB/M03siXpbVljg6xbB6hP4X+RBRWErwCZG7jnI1CDiTJqsgVUO4pMH2khp95GeXH6RJGMtcxehEmZmgDjweBirAZVlMDO705G6YFQGXz+nAKqDbTyOZZj/RPXRUd9q/0incSlNSDyY+UbReGhddHOnbblWsHt+R8NTbh3GxEJJkz9vow1lAT67RUhjF13DOqzNRCPXf0RqhHPIzaf6+pMJLwMp05h0eISQVQwSFoegaQ3/lAj8AR5isJqUqabvzq1zq5qd06+odIa61oh5thDa5nQGY1Gz/E2+mUjNxBWhRWoSFtDZW1lMnJeILWpOR4wRMv0cLty11ydfTtSBrgLlP+H5Z1pvWO+0GM30YSr4uk0FrXPGtaq3fk2WaGLahw2XswSz/xZ5MfSHUx/mpZ3g0psEPmw8pTI1EoTyRB3m1Yf23KcErWuSVA4DZ0bzLYmMwUVmhNa4lekdYpyzYm8JEkUGHWc10fsuCYdcxGKFcz+cTv5TZF9arl2gN+kQahQTrOIGpl/fpLKX2vOA0Ql5VuRhk+RO2ayXXSAJfGlx/Dx8T3hnU7PN0IvR3uBPbm6zXhsndRdA3cdDHGWUQmFdm78Dh2cS9o/2QXTv7MVHZ7eX/6ijpMVNZWmJAL2BFa7QHD2bySNKnYO5Y0QjrwaPXF8Jpn4uOGr3MUxJXGOdnKZ4ZeKiPBz+9Y4tmhvNU5q+d631c7D9QFS3HlrcTOkDxZhZky3xiqMl9ZkM2e2mJKOJa34uu9ZHIWM6ZWqGOneqRjoRsME01691CiVnY3iO1IVrqKDk8uAOaGlwsQcN6U64kZxKIXhtYIqZnRy/c1tfpdv3blD6mysOnXgInQO9bbcV9He8HlKsWYgamK54A+wh+RoVESEIazYc0QYQAD22ulwjIG5ADe0sPWsvoYlDlZzDvcIZawJO9DfQnepnfEvwqXvHxF/8FmuaUrckPTwyOX09ir2kzawPQ937hxmFpam8agqRp65YxZzCgFO20zrPk9uamM1PSIT/df+L240CWI2Y7y11eVUUw8VNDB89CgtHNIWsqmKcWSKHSCr6TkbJvwki2EJUPO/EAD7h0q8m85WbvZNJNMDy5T2kGnjHqSnh5y1rDDHUjkO4NfomZ6GSv2H+hLt27NEaa0Tb+6Mx86qpXuqHIJa8Yy9Bg83bGbepywPtEUd04XukXXgF6ReGK7pv+vyc4zRVcsJ6hM2Az4rwyVywIA5q9ntYuwfhwiAeslHzFxgjxdbDlXhrg2pKNIpF5PGugobLR1cr8ay3Rn+hQZ44HbUPSRFScY0xQIvTWdLKrhPppr+1r9ZmCHysbwMs3pOil2zSaGM/tumru6uijoLfUSilP3LspytLaSBQUB7i8s3LoOp90iVFTTbmX86vEuw5QJ+QetDCC8a4aVffJzGhz26MUy1Xr6/S+XLwhzlPbQDYxOrs1ZN4L199QjcBRY6nTTOYdIvnyjY72UoPNPuwlEyjYYSyL5PyyEmF9EEcxR7ugnU+74woVOgkozLjKOoNep8WwMpGbDkivG2NmpltP4Af53kjqDTdUfGDroLslRLKC17BgpCkJpt7N8awAOB6VIDm7xeB5hKYahN9RyDwMxHundHMyoA67li5zQvFtSJjXlUsnGcWIyuLuXiyM2USMR0EY5YXEd0HPe78IT8KOeQcnUKysoVBRSe3R89g2jExaTYzr8ns/8VAE9o3eTl/TnqW6TmsOc4Xjvfl3YBcwvGoOpn/TfmcX1A3XBeiKie2dI1o/Lt2AmAcaq6Vq0PtZR/t3dxrufQgFe/ztpZ70V+o1xF869isS77eXpM4Vgl0AvHR/iiiZLnd81f0lHjELIJOZQ8YRJbsXDMsoZF0nuPc43ru2j442+QOD7reiR0vSHv4SCCDvEeMUrILeKkw0ay2E5fL9GUeArLCoNsq7rDzMUc1HGLINrH5/XJcrjA69Nlf27/5P8xXm6X8jQDGgZAwrOw+l/JkOdym2FJLYJr0cI+rv9WZH/WJmMbRpSQWN/j/xIk5Xmm03AW1PijtJSEtpzuyrL1bzMfujAlCVJeRjYdVYeNL2bk+Ij8yE+KSVgl/G8mtWUMZfWg2q8D06nfz/yx1TnR8OKgS2+8KYiqtEl/ML5zuix2u1AOCJ+iEwsDPW4c4IZeO+03rChw9Oc+2SvOrIIfdIji9SL+rIIfcxZsO9J0uSsqimaTn4tNDEWtnYqh0/EVOL+nUQAErepsu85cjtAU7Ia+iCQ+Qx6eg4KT6k/1s52700EIpb5fHwg+y/ctaoIhLVpNXP1+zCkVPTSsmfeMI2J/x+jUy0tidn0203Q0LClK9zHucABhtnm9Nn7MdZuuCKSH1VYZnpyYFfFq78/CmUqGtSGgz1s/2wXmtOFqoAD9KhLRm6s4ZZmIELmuXj5YIuHu8WRuCmwexorCRaBipSwi4mkvMNJSspIHtOl0QxmSqZqCi0IyADZfKiEqhoi7ZjHYxGplgjS/mArTDVTR7rp9tJHZ25wuKivCBPSys6ZnE89zAn8gQMUrjYf+w4suuQGoGz+3+OmLLhGEUJjpVRadNuuQS0XPQnYKmvRRycYfRc+lNksPdhay+bXnbCUX6bUvC8peTLnlQNEnIQGYaDaUDCemZFvvDVEFvk2v6Qh9zJUCkrYeh3uaCUmyBB/uWbivlBiP+0XrrjXAVMB4TrSfPxMErMKjf/aRb6uDGae+G22vyLnPP8Cr03L0yL/iMwYgHx0+QfosgvfD9z/RkaCjWu2EcJLns3X+g/hK4IhybeuDSagZ1aCkXQIvEbShULIaZmQNTeD5aUKB7StEhVF/xDd5fZXMgW52pR7M69uZwpQkex+yb+bpnIr6fq8yVZnmpCSX8wkLFAkWJR1PxsGSwBAm/BYcwykwf1da8JwGPYN5RYknkTPbCxTKJBDR+1awG8QBJ+IlLTp01lyqnsLeoBuW48wdfuhAfLXNDyK6iSlybMD/I6lp9tLvn3buUEIHXKE2NkzoynY3WMtvOs5HyNL0dnSpkmliFSzEbFRR4ZW+IFEw5Rmsf4tWOG3pZxGEr/6Ww4RESm1Hs5fk97U/VF1YG8A9YtbeAYemSE6Cpf0zAgz4CCqpZebgvCkNAZaGDqv5vlC0jMlZnn0BqjMErYnYtnPOpxJ8c7tGfmtfHkX7qMQBMOvSRVpARXz+96tGo22PQ3mEAiePoumzDCu8qmnwA+r0G5F0cFEahHi1imMiD0CI2lRdhI3agQORikKI+bh1Fs9NWRwKzWxT0vT2qS3SjuXygEpQZyVtjZzxFXAqNSgyUmllY6v/RtWum835SiXEiifhu4Iy1ZVi3OJo2crY+CiB7fflZA+UfB5JTIGapWQPBRCivczpbhcdroEGnCUMcGrPxxdV16ft2u77sjc2fyGRV/S3YjXhx/qhANMZ6GiL3ZhazAuVsRGYmhoFyRX9jSCeoykJInhVF+2FkuY7Blnah0vrn6stLnz+W9NKq3Yl3wVw7dOA3+4binecwDnHa5faXep1iI1y4Ad3OzRIjhQcA4aU43ZCnHqjFUtXNyvXkrE07edt0/LYkItkW7wgifAK3uoFbRUAMr5GPCGcZtXQebifTpOxCbZxPnO7R3dbv0UyTP9Ke5/PXWZV/uicumIy1TNsHdjZfn96nLK0jvhdpr2UWOEwPlVVcn90dCz1RFbWS2TvzMl5t1EsP5Awz9f01T17+UDXARSxyXt+CJr+zZkAGm5Bii7doLIGQ6K5r8zrd1lIe6ItNqo1+mR9y1X9+97hRE1QxVrH1NUE5dXQF4RPn5IRrcSFatkhTgMPoNcXhegvus6Dnp+7ziJyiIAd8d9bSWZSjWQI0trVmdbXhRLqNast6sK9VUWlCJM8/pkUlONrgwLdYIAMguTU2aHWJhtuUmrtIWNdeJ4pqMT+llxIamwcDNc2f/VSJB6Ym5bK24zKMTlGXPXSK9KiuJDp6QRVBNop+iObfMomuCowQ+RpvOIhOHnSQtwGeUyQQ+oQSHOi7+vdVBi/gYlhsCELZmuFQ+DD2SQww9dQO0YCOhMiYIMsK09AVLAQg1QiwnB/lLgjK49LUXAHj4GG2k7KwRgI11PrkNEohFJm9xOZUcSLqizQ6xMNtyk2l6otwxKSlwCW8HFAbqlsV5exc52ag8bdrownW5QzI7CgB3OM2aFnJI3czpFkeABC3dEsqK24eJJC8n1BbQilmjTDONjqoVkA4Oz4hvXU1mREfcRGC3BeUPWHRYSpm0m2f9zmbiDT57DOuNOc56fge976YdUlh1XvstA+TWf0JJA/dp1AlH6BwGMYTeVYAsDHj5YuhLyTi5R8Ktf5pdisv/Moh07NqbaHwWqrCHrH7hKYNpoezBwS+FB3AVFnFZ4mf70ol2aCJm27yolrF3qbJZiWCrZJcpQd7CEyBCfXUjHiHkP/JQ9meeq4VB83+xvsyTyuDHIhGw+ZNddnLbxEatcBP36xVmoMtsuJOQvyMMNLTOmUSq+xB0B6kzlAd8Wk7+uRF5NGqRPPFoexhIHSD/vb37oF5pS9u6KomKcr2QWS7hl6YCsJqDCSyTmMfpw+N2/niXng2wQVLJxzVKyCvv5TgBuGharao+ZA483W663D9C334vHDyUIaWYK9E85jNB6tYbI1/MRHuX3LWMN2Ywxs2cmPIQL67oWbpmc0hbFAbC7AkMURcuV5yS7P6rWiT7e4aE8YdjAp0HssMxba2hWdHJc3j26PqpX4IypT30OHstJw8xRvDCBka5cAFGmKXXM00IhW/oGEH1mfawCwGyWZ+yjsyjs6ajyEeckVqQ8e2L2y7q+cLWe572YnBWKZ3yRpWlbbuj1MTt9bq3P/lRVSDGvKpaC6dNYixyfIpSTHFsh9HzlKESy1FxjoW6QhHaIM9MzROPv+llFmITYQOqHswfgIbDFF3iw56t4IsLn/jNPFCKYklx2hemV86Kn3p4e+fCqosuv7KbcKc0yoGLtoDc5yp+2Xh7X2xL0oRwV5zeQZe06FsHVj2jbr9KR5EeUlTM6KQ+ePKc/5SSpx5pYc+VCT5oYWsrIw3YdRXGCQDnNy7/Tv2phkuWksxLfmDMZZN6ydNmcSvwVzab3v/lzYdd4XYGAQKNgbYYVpxuJBpxw+0tmYRZZ/zjxdScpKJritBRr7V+9EsKg0RvDnCvtNCRZ/Q4tImmNl+zoZnreS1rLDivq08cWQvDGD207eeExdtgpked+OBdOdVcwmrCOUjXI+c4ZoNNyC7h/Ki9VeQ7wjhqWlv06XhbNLmQrJy5tctDvY9r0M7JvSmXAiXHXVl0nqvFh1tyL+A4gI4+ebSjCdVix7kt7qwANvPyUWVkX7sI+5qgkGSDoboDMU4Z2oYeTslFCbC71uf/KLp7XRO25LfGnjUsys3sfuW/0v9mN4o08PP+rTwsPyxD6LMBV8B0+Y9d1qwX7LVYxM0BEUN4pwvQ1rCed68jZZdwe5SZeTrzwGWu4aiuAW9+nflPl2F2PrEt7cd02fjWcODAV6Z6n9cueSK/aMW10810W+bvJjeKfMWyR07MugU2HjDNVfHGyTwtjd0Ou2pFPoJw/gJ3rc/+YsQ+n5S8UepiqVU575pedMEK7oRxICMFjG2CyMGtC4EbIGSvletgHbjU5Hw1GHp1sI/R8Xm4M/6a+pRyvwW8cCj1Z9Z7otJPi6zQFLoNPhcYqoGyAh5wk26CwDCLm/Su7mVaWLoopjnepPe910vfrt95USZuyFeRpMnD4GuBKO8znoRNKjQKMXwzjKOtwEHpgiFowLbe98XpD5w/lzY3OkjxAn3eTDw0OsTDbPecVtNPAhNsWeD3ZxjkaHDV7VX0lpAuNyWoHFr131oYl6W1anF3etMrQahU4tLq0pHB4EVdoniUegvPo/FL4sdqDTjqErYUK+k38rL8mZkHOpvRtQtLFY3oxG3Pr4iPYxCtJMRyFEO+QzfSIrVq7a5EC3bu7RI7/pmFBz4oYIUiCNj98ExNfUmOXpq7qxpGxHq5bL+k7ubDOjRLdfw/a/ntUkOj/u57XdexpDhdvxmrMdQfEEv5kTTcuKiUtpRYYcs+gaZzX6ZASAvf640sW6TsqAO6sGfyrm7eNwDwEqlc/icTkXfNTKdf83dWTvECOGJ9eyGkdzd5wk6KQ+ePKeC4yWI3xjuZgAC40B+k2O4uO6jwMKVUA4BMdzbGOCb307eUDNWfI42lt2VRmicmv9EEWavpsgLeLP9eJ4iLHBafmQRVcaa/WFtVHybgPq4TzEGOJoeG7g1ehH0ACtAT3iJAPPXyzYNmD9a6z5Yu7eBlvbhxlGSpmVZd6Y/cjCegW5fBeDiSRJqkRsqV1gbcma3GHjLQupKd+dor4GUNuzqPQSqbbA8OIFmiXBFaDkMUk9jGjljPD1YuYiwWCRsIdOfoAG7l7UxR4ptq3WHJRAtH7a3EeONjpz6InH3dvEITAQb8WWgAOMvmvnrTahRi4iREri/c/w0VLAQhBohjairZIy9ao/8HUObrLncHZt/JWeqEgxt9aIp2FANKkgFct0fpPKvyn575OUmtYwluVpXIk9NmMrh7jrGGxPXfS9a+rNObrHhgZRd8wO4HIuKtS9AiO2RSpSKw+SdTLyPJGq1ncFRxzelEBmEiJEzq4Ob9V6T8AV/c3LbRqkvwnxiTya71RzuchA1rDidCTXCXzNgyaedfWNMMpfd8nRilLyYkCV3s2BJwU6+UZUUKFNF5akNjkHQJ0TkPF3PVWZBe0eomAN9zlO87iv4ff0Pqwetnh5Sxhezew9M7XhT6p8WUzK8IVoLZLCysgoiP5LuGhPFstR1v3ffWG1NpUxj53xtQAik40OYbmjm62pshJ23mezc+e302wE/VCgZlZv19jRk1AYBdhlXbwlO4sLnI3qlPdhU+GO4EYeCfzevnKI3V4jV/LfvZGL0/1ZNfBUKp40RfszsnOCr99A2C/dULYAyOm9GAl0g1SRmEGtBPVXnmsdWXAKGPMhmxKoMBzk/wUyqHk0SVBvTtB2P+65w3b34LkLejQaffODinfrTneMRSYzxroKGy0dXKhV4TRsHU6DDVDV5a3vyo4kB3wlJ5RKyu7U/TBBmfv6iz7U7mLypn9QvpbX+uCVrRZ2fZXalhLz1UZ8Mnoe+vSKBfzE9gY+xlF1p2EzKeGPXti4bp+rmCJPSGa6KIW0m8m9O2GXEUMgU1B++yhJoTjvgnUJN5CFjGzmTKcV7TpUsCepx8QbDfh3LahFN9+bDgTkVmKUQmu0Lr7L5Xqo/QJOR/ca+OwSXTbYPMUJGvJ/zcPTQxbtDRI01RgtjqZtcbkDAJzwduQW17MT7Z78RkCRXY3JLNTbrHVjK/5IdL3md2Mnha/NKoWF7ctakOqJ6m0EJEcJhr6wXyaARpwopU960SIVJGgknxQr7ZA+nyW/v70mK7zQ2s9KQ+BYhmmuW0m8FIkHlJIThRe3k4D5gqntzXselTW6ph7SrKZIy0WGX0zDdxvgh2XIiJla4OEfyr8///wi7axCEcMQ4pCqEz+GbhIudHy41QW1v+Om7/asPBQ4HuHnX0hBmA1dgPEsnpPm5fVbeO8gNk65/ZwXWpRKZJP1eBv9XBPZbn5mRs8KsQ21d0AHjOb39iF+db3/sUWysoDWcOEGZJIMZmI5MKE8/56daaqgTf5rVilHuZQL9VzGP++yQUSOiGcb06/r9Ert4ro2/1aflKJL6oUqqOLM5dtifiws7PFOR3oGEJhM03Dq/YGdVlt5vroI7+nQlnCTn2sMcLScpCMLA0afGcC1ccbeqGwwD187fGPTl2YoGpMBZOX9aE7z1he7KnSlh51bIBl8VIOpR9gY4HI2SNWLyGIWuFMgRc1IZaR/flIQ2QYpWF0bPHxu+JSBjoJRbZBUeAzsK+hFJ1xh621FNvNl9WXvkSLf0VvZJ86qI75qWmLEjD8VrAqMVJ5zowdlLFU+y+0FR8LJcIuUxc7XlqCdx/RdCb7H6gkg9+knJ1ZgtyLN5Vcjfg3jgFBXPIeZ7l/fXhSz/x4IImItm65Zvt2WFZ9Ij5RF6UZD/cz84ofSs8Rej6is6p+Om/oErIpMR349yjj52qZlyEq66fUed8/fc/fA0vdHCoxBqutVR81/HZ6CjnTsgPI+4QnLRjPbuIFpwsTv3iXJbvyKReTxroKGy3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)

## 前提条件

- [下载 LiteRT 和 Qualcomm AI Engine Direct 的模型、标签和 config JSON 文件](https://docs.qualcomm.com/doc/80-70017-50SC/topic/ai-ml-sample-applications.html#ai-ml-sample-applications__section_fsl_lgz_scc).
- 要访问您的主机设备，请启用 SSH。相关说明，可参见[使用 SSH 登录](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-254/how_to.html#use-ssh)。
注释： 如果 SSH 已启用，则可以跳过此步骤。
- 进入 SSH shell 并运行用例：

        ssh root@<ip-addr of the target device>Copy to clipboard
- 启用显示屏：

        export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1Copy to clipboard
- 从 Linux 主机推送文件：

        scp <filename> root@<IP address of target device>:/opt/Copy to clipboard
- 将 video.mp4 文件推送到 opt 文件夹中。

## 运行应用程序

关于模型和标签文件，请参阅[示例模型和标签文件](https://docs.qualcomm.com/doc/80-70017-50SC/topic/gst-ai-face-detection.html#gst-ai-face-detection__section_pdc_nl3_4dc)。

请使用以下语法，运行该应用程序：

    gst-ai-face-detection [OPTION?]Copy to clipboard

以下是各种用例：
- 使用 DSP runtime 以及来自主摄像头的输入运行推理：

        gst-ai-face-detection -c 0Copy to clipboard

    关于辅助摄像头，将 `-c` 替换为 <var class="keyword varname">1</var>。
- 添加模型和标签路径作为参数，并使用 Qualcomm AI Engine Direct 和主摄像头的输入运行推理：

        gst-ai-face-detection -m /opt/face_detection.so -l /opt/face_detection.labelsCopy to clipboard
- 使用 DSP runtime 以及来自文件的输入运行推理：

        gst-ai-face-detection -s /opt/video.mp4Copy to clipboard
- 使用 DSP runtime 以及来自 RTSP 流的输入运行推理：

        gst-ai-face-detection --rtsp-ip-port="rtsp://<ip-address-of-device>/30fps.mkv"Copy to clipboard

请在 SSH shell 中运行以下命令，以显示可用的帮助选项：

    gst-ai-face-detection -hCopy to clipboard

如需停止用例，可按下 CTRL + C。

## Pipeline 流

该表列出了人脸检测 pipeline 中使用的插件：| 插件 | 说明 |
| --- | --- |
| 摄像头源：[qtiqmmfsrc](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtiqmmfsrc.html) | <ul class="ul" id="gst-ai-face-detection__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 拆分流进行推理。</li><br><br>                                </ul> |
| RTSP 源：rtspsrc | <ul class="ul" id="gst-ai-face-detection__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 拆分流进行推理。</li><br><br>                                </ul> |
| h264parse | 渲染 H.264 视频。 |
| [v4l2h264dec](https://docs.qualcomm.com/doc/80-70017-50SC/topic/v4l2h264dec.html) | 解码视频 |
| [qtimlvconverter](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimlvconverter.html) | <ol class="ol" id="gst-ai-face-detection__ol_j34_ddg_q1c"><br>                                    <li class="li">在其接收端上接收视频流。</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-face-detection__ol_m5z_cpr_lbc"><br>                                            <li class="li">颜色转换</li><br><br>                                            <li class="li">缩放（向上或向下）</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。 |
| [qtimlqnn](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimlqnn.html) | 作为 Qualcomm AI Engine Direct 模型的推理插件。<ol class="ol" id="gst-ai-face-detection__ol_mbk_pl3_4dc"><br>                                    <li class="li">推理 runtime 在其接收端上接收到张量数据后，插件将运行推理。</li><br><br>                                    <li class="li">生成一个张量数据流，并在其发送端上显示推理结果。</li><br><br>                                </ol> |
| [qtimlvdetection](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimlvdetection.html) | <ul class="ul" id="gst-ai-face-detection__ul_lwr_xl3_4dc"><br>                                    <li class="li">处理来自任何人脸检测模型的推理结果。</li><br><br>                                    <li class="li">将阈值应用于所选结果数。</li><br><br>                                </ul> |
| [qtimetamux](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtimetamux.html) | 接收基于字符串的后处理输出文本与视频帧并将其进行多路复用。 |
| [qtioverlay](https://docs.qualcomm.com/doc/80-70017-50SC/topic/qtioverlay.html) | <ol class="ol" id="gst-ai-face-detection__ol_wst_y5l_vbc"><br>                                    <li class="li">接收多路复用流。</li><br><br>                                    <li class="li">将边界框叠加在流上。</li><br><br>                                </ol> |
| [Waylandsink](https://docs.qualcomm.com/doc/80-70017-50SC/topic/waylandsink.html) | <ol class="ol" id="gst-ai-face-detection__ol_kjr_fvr_lbc"><br>                                    <li class="li">Waylandsink 将其接收端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> |

## 示例模型和标签文件

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

| Runtime | 模型文件 | 标签文件 |
| :--- | :--- | :--- |
| Qualcomm AI Engine Direct | <var class="keyword varname">face_detection.so</var> | <var class="keyword varname">face_detection.labels</var> |

**上一级主题：** [AI/ML 示例应用程序](https://docs.qualcomm.com/doc/80-70017-50SC/topic/ai-ml-sample-applications.html)

Last Published: Nov 11, 2025

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