# Classification

Source: [https://docs.qualcomm.com/doc/80-70014-50/topic/gst-ai-classification.html](https://docs.qualcomm.com/doc/80-70014-50/topic/gst-ai-classification.html)

The **gst-ai-classification** application enables you to recognize the subject in
        the image. The use cases use Qualcomm Neural Processing SDK runtime or TensorFlow Lite
        (TFLite) runtime.

The figure shows the pipeline, which receives the live camera feed, performs
            preprocessing, conducts inference on the AI hardware, and displays the results on the
            screen.

For information on the plugins used for classification, see [Pipeline flow](https://docs.qualcomm.com/doc/80-70014-50/topic/gst-ai-classification.html#gst-ai-classification__section_j5t_2jq_nbc).

Figure : gst-ai-classification pipeline
            
            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MCkH2xZr8sSAX4svKMtofdzA1D8MJh1jmuJWvJKDg8v5lMOsdY6x1jrHWOrRSBdk6QXPttU0Qx0B7Q3SJao2yWzNFFrloUBQO+egFks47LYpJ2TsnZOydk7J2TsnZOydLk/mYTDrHWOsdY51IC6uMOsdY6x1jrHWLq4w6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6sH/kX/Oz1DLTk1wNAb/ByH3eM/ud809+ijybzIEPSddnGuy2SAgkRKGHKjkE4QtHJqBkvVAoFNFWQf5wXTGq3TCLqG4z8O7b4cJ6cqspKu9oyAdpsobjmgbVhgR5owuydBWo7hhTXAYH6Ux1+WI/OXvxICPwZr9o6GiQ19HMbe/3Uon2igxL7tDNLYclMso1vOY4Rh/mPfPCbdOmIYnEOOqv4tajr2xyoQIGl8o8tk8rBb9f5OKo3ZJHjCtzs+/JaIMR89AQloiS1Tuy4ja+G8JFmDRIJadkR+73YPd7N1jP2aI98y/S46Kx4iUW9628ls34j87KQEgJASAYBfZf1bTrxnGvboulukorAi3F3m1/iBaa0eiZ0qNWSpn0DfWbCHcC2a2g6VjKtzGxBED2+kxSU1szsPHR9sw/FqDXg8osJh1jrHWOrRSBdivFroqldmSBSI6Nso1ltc3QAfgaMyOuSVu6/4FgOz6Z1bqn4vZznz5O1J1va7NGZZvqTw9VY+pjNH3uMZRS0SCvzxKKjt9iBdMJvJNCbfpH8IuQtbsPdQ0PjztpGXpmCzzN/uCIupqisn98O2HM9rMfJmP0QzW5a67D4a4T18kJHs81GjbtnkgCsdFg1scfvFPiTqFfNddzNdQkB5ATW1sYeiaResdY6x1jrHWOsdY6x1i6yPS7Q/DCYdY6xzqQF1cYdY6x1jrHWOsXVxh1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1Zqxo71oo6k5lMDNTK7UEr7761U0kXxkBLdBPY15ENJ6UNPe8ssoaaDSv7zULFUVWguiRXf8I4+1Hg4I79h/vEebTbgoVlSCyWJAMpGUZbQp5Stc12H+KrJUXaB63lKXJm6abFNmOzObWnqA4/JtHbgZq3Wz4w8zt4BaK7DCGd38slh/wKfvB1OV8pZyWjbfKM2RE38OxThi1Ez//N+Zrb4DhgIr3ydgtssPHwwJlMwM5xUGHS0KkOtLcnAkwyBYlIF2TsnZOlCLR0AbFGynkZ/9u6sopQj+ViBixs4vDJL6k0qbTk9scfjf8E54Ld6DhH0qGaJ+WCspjgWPgblpkMZke0Agr7PN7EIup3N/dk7J2TsnYvBNk6RdZpWarM56hrEuNid3wcgBd8o3YzpJXoARmjWPHEko7ojRMsvadewOmFsMyqXYfcqDInwuB/nSzS9l0cONIlT7KnF7C7SFP9FUeNyjAdzx5sEj6cZs1lzct3A6Fy807NadM+aKwJrUWJem40jQSQU6fRmv+7irx9TnkZE9dH1bIq1xqON+GEw6x1jrHWOsdY6xdZHpdofhhMOsdY51IC6uMOsdY6x1jrHWLq4w6xaetslojTXMVxxzv/2SCVhe8L3he8L3hBvECL1xuKjlLk6/LEgJASAkBICQEgJALro6d4rK7E+YqDnPkxZXz0kRHPF2pDlTb7NuRpbRbxLmSIcisneOXCLwrQu5wRmNxj8Qvsm0zTYlGMC0+7TvYb3uk1WhbTPRk5vHNsEBtMrNfliMsqHX5YjHfiG1vbQ43mq1t5J7qCncilrU60hSZHDsOpPUhuYJr1vQuwWsNBx9liwXTk/DYMDmtsN190zegwn+mRn0XIQ/Pawik65wTaFoFKQgR46+hkrC5i1kZI4Q3PazDmAJOd/ggr8mxj9z4s1WKdgdM9yoy1EoRqH4YTDnEJnDMdFALWBmTbBISRy3NdHeLAYEHotBn8r/eQdFnXxhDy+SJE300r1ud/D0oFwnNCEXHjlEcWAl1vC1GXxA6aeoCIBuSHdOK6xr+wJASAkBGW/EgGCK0KQhHHw82u9w8A4d/Fh/IOghHj8Yn0qjWGwKgsYVboztibAphhxLig1YAMx1AqRQPjQikJl4LsNtBSwFxiSZPlBF1NNSxICQEgJASAkBICQEZcggXZOydk7J2TsXgmlxbNfliQEgJASAjLfiQEY6eWwSdhngmTNWrjjnf/skErC94XvC94OXOA2dk6ZhvzwIkAkBICQEgJASAkBICQEY5ucJOfEH0IuGXQjGjg6gYTsnZOlsYdfliPyO0iCQo6KyAfC7cK2SzOaxL8MJdFIF2TsnZOxX1+jfbcEuEfMFuIob3nn4YTDrHWOrRSBdln0mq0xKbVJrd++kr/snlR7MJh1jrHWOsdY6x1jrF1kel2h+GEw6x1jnUgLq4w6x1jrHWOsdYurjDrF1JXJQsU2alDugiT+MN+uTpkDKvM+Eah+GEw6x1jrHWOsdY6zgzgx1jrHWOsdY6x1i6bUgXZOyfVmvyxICQEgJASAkBICMt+JASAkBICf7S7Q/DCYdY6x1jrHWOsXVxh1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHVorhXq/ao/wSiqYM8fyh/GUGnk+L7QUOwoQ1bjbIPOnmUU5LDyadebushpGVwo7glFWVljwCri6J4rVyqfYI5kbvqgyTJQQA2vutviWlOZUWcKnsa7YjH7VKYMesCjOiEwRjLUoPpdbD+dme6g21LwBbIArYo/VShGoeyXLFs1+WJASAjLKjjfhhMOsdY6x1jrHWLTLlB4YCDhBnCDOEGcIJW8kcnQ5OUg7QN3e51Z+6z91n7rP3Wfus/dZ+6z91n7rP3Wfus/dZ+6z91n7rP3Wfus/dZ+6z91s67T3/aLpwcrJBKwveF7wveF7wveF7wveF7wveF7wveF7wveF6kKO8Ss7JeiKoZlauOOd/+yQSsL3he8L3he8L3he8L3he8L3he8L3he8L3he8L3heo8nh7SEmhT/gAnO//ZIJWF7wveF7wveF7wveF7wveF7wveF7wvUgxVi2a/LEgJASAkBICQEfnbZQK7kVDREwPr+D34oFMIAD3c1Lw3s/8OACohKLdA2dkS4XjFhg4Y5jSP8OBeqNTBrAGC57wIFiaYZ55JCPVXdiO/ZERgsqDAfHvbqnW0BWQ3ol/Y7rhQTApmiwhauYJfugyfPCeo7k71pfkfX+UncMwMiSl1gERDOeviIYt8vVEuzwjkeKH21o5rAoeWOlKfcEDn3JWW91gl2EhvUEVqVzYKpD+6dc/U0yQascgchHbeXNllCidpg6qEw7k+GBmeaySGpA/DDZYEPsF0pb3i5qL0uXxOk1/K6PbeOMN+2YhxH524KQLsnZOydkxGWfCNQ/DCYdY6x1jrHVoZbvxhv1yo7oIk/jDfrlR3QRJ7MZgIKMpCsF59cqO6CJP4w365Ud0ESfxbbg5+KOefYmHKzO/DXbhhMUs/yCixJ1d3mRazeC2VCy3m9Mo1zuLLecNmFHrtwwmEMZt5Z/nQ1Em4J0XgQrUrkAwt3ycj6fYX0wAzloRlr/jlhKZjlJqWOPci4hDze70mVfY2YkoF0tcYXV3iJP4w365Ud0ESfxhv1yo7lSBDr8sSAkBICQEgJASAjLi6CL7YNbAUnHvrRUr/rjSVhTBboHYfRMlKr4048s+QX86oVZH3eeLIy2m7TBW2Zpiz8cfsG8WZ+NPpC2iWanQRwvHhwQgvQRVe7ip1SkGVxUHGHez/l9XGHWdsWXxICFZNrRZCJT+TJariKD7VYiYDlP2MI0MNvnD9uKH22wAwlYllkdEWUIduyIY0r3FMpWpqnMIbpEAf/6re/IHH4ewkCu4yL82LQzzEJrpbtCzItXAR4E5Y0wt+JARlxixNk7J2TsnYu0yfzMJh1jrGAgcsa8C36FSYJwjUPu4yUI1D8MJh1jrHWOsdY6tFdAQUZSFXxICQEgJASAkBICQEgGV3plYslps6h6jyvysg7EOeY1oX80fBowkYKGXt1SaRIHjqO0U4KSLYuknv4A84UWyK7AC7yu9NicxeE5yLgrmXxog0iuMY0IZ1Tlvj5EkTTarNBelj4gUZleseEamTjoouii7IUZChgyY2EgYZ/SgBKvCKCHHkD49UzsYNzk36zSesX5nPn1aXcdDsXw80lI1n38fbrPU40kS3LEi3Ay3IbIsGPOQ0OvoRxvwwmHWOsdY6x1jrHVoZYmydk7J2TsnZOydk7JiWJATbfmE7qNYsgjsQIvns1MDIlC3zfBZq+HXhq1T3bBCSU7nixNk7F4agoy2h+GEw6tDLPhGofhhLihlQ6QWm//cQbN0BPMQauvyxGWVDr8sSAkBICQEgJASAj87cDLE2Lw+Eah+GEw6x1jrHWOsdWixXUSgMZTEOppxBofki4Z3Xkphxsn/IbL/PdtCJx8nbqmm4JT/GdEAJP5gOs+enH/ThIHbM5poEaTpAN+K1t+bjY61LVxtIUBtrmqbzK2BPBnBnFWQgzKy4iZ/QG4XrLJagbFwmBVmBpL+t57peUT46nLPtm93IZ1l/KnEL+i0YX84RLOcUn4sJi9UqF0RBlOMuOy/1cYXWR6XaH4YTDrHWOsdY6xdNlwAIik5/3awg8EJbfmxT2MTixH5wXLGVvwgSqubRI25Xgi2GPbAF/7+JYO+9GSosAVJTxtyctY7sG9o40Rq0Vue/hHRAulyPIo2xc44Hnx6XaH4apyhdi8E0uHxQUcSLjk6dyFBhHOL1H1oR6o7xVI5VDbtmvyxH52UgI/O3BSBdk7J2TsmIyz4RqH4X4Bzf5hXG7y/ogiG5m/5QbpUcb8MJdDLE2TsnZOydk7J2TsnZOlyRGShGRL/yxICQEgJASAkBICQEZcggHgkRl7TToGo+JikgmD5NWm0xX6LoprAUmZ4tBSAMn3lHPqPmymMBKjfIBMKgIzm0F+R7Zu5ORmpVhcmK6da0m+TylCKUuGNHExFgQqzWgddc0fBXlmj3qz+UZSFXxICQEgJASAkBICQEfnLyAL4poChC0VpTDlgVcsRqhkGRjX4hc4vnvX7rmNFN4EqU4WwvmvXmVozwPKW3wd5/V1pqyOfiOw3+dOQWZbZBiW88KUtiXgTxIb4uGqGt+vAy18OOoGhXmXO7cCQURIzoYv2zX49xgPaxYxmevP2fyv2wVZTYKpZFdYz4X0EPzuCjyEibdv6fFJ+twUY6cv/jW5MQSnoy2h+E5SAeATuABd+CE+u5eF5L/ruhT3/ov8zL1Ve1/HNQkmJ2kwKaatOlWmH7ifyEjJ/hy5HL3UoZD7H4p+U0lVqE4tAdRdGQLsVRq5A3C94XvC9dSqyf1zt1jVNylQUZbQ/DCYdWhlnwjUPunFv4f5oD6jF5x61F8zx/Z5ohctylrJHtQwuTSLtD7uMkoatsPUwQsU2fyoQ58MJh1jrHWOsdY6xdYr/2i6iX/OmEHyeF31cbIOmNhMOsdY6x1ZFWLakjMwiU0iyElEETd8ahSkIWv9VZm0couegUuZy4RBVi4C99+GXzv/fgn5mGuDB5NwMdFpt+9UUrfiMuL1X8Ty6W6j7LMbI6e8cBXtD8MJhzdXo0SHX49lMfZIUw0+Xixzm9R2SJFpiarSgKgbNVaFVU74iCwI5/+dnyIpGMgAxaFZDkYYwNQWq0JwhWE3DJDDkvZe1ZZIHV4UM5A0kqQZ1qW+3LqsI9QdowNIZbHLuRHLXoG8Et2IvDASAkAyuelJ2BRHBTyKK8YgSo3va1WAn2om8GUMi0EYjYkoDiToCjoTzLJpgkWsCYwUOsdY6sjzXLCxIg2A0BRd5mXMrs+4kqaVcH6vdw5db68e1wt6JmqA9pZOp/t1/AC8XA0Vzq29o5OX0Qov007BTFK86vQslAVSeJsc6i2J32suK+snJ2TpKiXerjjnf/sMST6jpUTfrbyyqEQ6/LEgJASAZSNAvyxGMhxUBj+XZHrEUsXSSJNv6CEsgJqO3wblwPyOrmh7G2xQbhTN4XvC94OSlJCmsK9CnYJCWivESQYVMmqMBZ4ydXkd0+hnKRjEUpydPqJWk+YtkrrXIH1iif38LwS5L3vQ/30E0tKhY3RNOVbjye0oGE+RKg1wnjYu1428HNZELPQ3awu9oyf9GGwiUbHU9YAeeT7jYPg2gZjzHDLn+pNA53GNwHyqJRxoYOaLsRrMMM+VxwmKu0SIm92nsCxSn7WwgWuJzksfCHezr58zmSzyMz8E0hWDkhvusuMWIlreboS1B++dxsz0aIVJ1fNVeczXhAWa7fhYVKJ9DS8hBMc0U+s975GPLcyneE26Vy0UlOywrJQSaDecZkjVfsouTrAJ8da9xlyYURB4VSc1Prygl+78OrRR3nWt2l0Au8LFD4TNfD/XBhAoQtzW0H7NU23chzx9TH+Q1RPgNP3rI1GZqS4USrroV+yB6zizc1IdTK1ccbJTCV31USnyG4UsUE+Z6mWWND7uenrQyLaA2u4V8v+izp0qKnVGUeMse8BtBMaFBOfCy7qvsIOzqEusMDimCn25dIa2KuPwGutJqTi32O1j3iOcl24oj7emab4dlsP4Hp6HIObbc2TAMSg2Q+msBowZ3qoqbRoQgqA09dKev2SC31GF3TDvfxJQyRm0TamgxKgYWDbmpDtBaq38rjjcV5z5DcSvjDMxnGCUDF1dd8qpQ59NfcXRqGmtwUvIhtkDHhu7C72dveI2tlC9vaU9vyRH4AiiWz+2YNFEWybAExZ90qXbL2tyOBcvCOza8w6cp0U2svViO33hivn9A17l1sESUJiBVpNfwfpKKjgHcP87I2Ue+BmYuYrjD5YISysGX6JYLL9XQiqVTn2/Nbh3sHHeNFWDKO+5RgZ+ZtMVNECcaDeWX/B/51bLRw2uQRysHk5AVPPtUYIHPLQ0Y1J/Vfre1EP19rCBZEwr34asS9OibGFtbzcvDQYNIvImbl/bozPJ9D8MJh1jnCp4pqWZhpIw4rPr6z4g0gx1Jm5/uVs5EzP6uBS2dFOJNsUkNtD8L9tTiJPsvGLE2TsnZOydi7TJ/MwihCQez1U4mwhwyOHCNALGLFd/l/0zNH+9u9V/10MIavelp0hWF7wvUUzjTOMVcV481jc4l6LV6pGye2c+klNGGzLoT6SnNLYDN1r5jBCTkPvz2Nq9qzE+A8M32mI8MN36RqUAuNkkw/+ziovigqggz7XuDFQgYHOKLDqrZAHbJNqekoIjvxaZETlLBMvJg0SWg67whOP2qtDczWbAr8y79nbE9+UbuSLr+UEE3ifTjEyXOPQ1m+mqvY8+t0DujS4XvCA7QcYtsvO0NsCBf5ReKSKj28/pIgtjtzXfb50Bd7SAbHTt6QhsegXqpWPY9WVpkK61U/y4V6ZD8xspqWjdcuUIcCngdOOfLfOZtwA+hNj7jDiTBbKyqYRypHiQnSb7LEkzjyjg5+HrusVzsVuk8iBRefmO5syDdtaaG7fIcnQ7MoN4XvBxUJK7qlzNNv0SouEEfFTDnVWipSl9gHvCOgP1jDDo88W0xaGaeYKVutuOZrmtn0PsgLOljwisLWnNBgT4P8OucGewg6Qxw2lUpkbXBEJYdPLwgGNYVpCc7WbJWJ+w5vdCiJEk7GuiiD6su+WllTlO2qgTb/wdaXR0xxtKYy1PwcXZAU5a9DQh5Mi1fpozVyoQEgGIi+oLDjbRQneCVhEc3P1RkRYgnbmNDHrDddGdMrfjhCLgIc8XZ671EDwPFJFMctSovX//NbPL6Cgg4VBBsHn78yR+bG26grRjiKd2Wm2lCVUmQr2N6YrHgA4cJjZpIKvVYsYrugcgFJ3gKUjw0JTEp5mACuvnrdeEOhyXliU+KhXnTJlNSwnsoRTxVEM84nLeBXxbx7mq4hHlflGp2r4WgnXLiB0L8CnRgJ3l8SHuinNi0/ycy710oidITq9vYX8RG5v5U32Nyjzo3WHbusy23eckWbHebajuEYGTsnZMDksgwm0keD/ZbuWUR2uCm/CV5SB5kCBdInK51VSmUHjq2/HWgbxmdQLoRqHslyxbNfliQEgIyyo434YKudhOo6SIvOyc+RQ5j1kpwTV6qiK9NeidHfQd8nsSXnZAz0s5CU2sV2h+E4ywHkORDqbEUIHDAMY9vpB1OgsYGeyJMcGlZez0W6izTdJHUyIt9prQiYzRjNfq+UWb/7+o+ZC35ZHlscfm68oan8MqU4PnIvrTT4BcdoPKF3gz5WT+ZhEppCAZmidru3n67p13kuzwpr/lx+bFEFlSfLgjGIJHamB1eCxp3jLbOou2wHeI2RRpxqFMfIf8fDN0Doh/xr0/Dp0nPM/0jxCrS8QnHVNzylLkrcxaVOCzU1E2dkykc3fGoUpfGQbbJuuuF+8PETOvMhFN5EIKzGOHgVM1vuwyXFvV76H0hADUI5FhaKpOiCL8qWJIxEEGCKkGCbAF7DIP2WlV3hIc0S93AVvcTUhD3jrTMAC1sTsDAfJdtuXLS6imF0T1NTPxRrRahk9ZGEDkGDtPY/eJ6yeeZyLxPJoCKDFU2TgbIy8g4mUu4OVPiSPrGsgcKGabjkoLrHlrk7Q5CJznae3Y4Q7RWxESz8xzPhDaXBgxin/T2tKluyWbvyCCjLaH4tdjSfsAKWCW0RdQl+GYJB8XaNS4wW6YPpn3XB+AgI5ff+bOnmCWhLlRQi0FbmxylOf1IRHmVfz10euhwr9mhwiV/Ock+z6KFLDrWxS0ZUckFocGpmcxlMYRrDHW9zcemeMN2SabmXKwcOzOqmsime8WIKJbPVDxKvLUaOB6pOUgLqyYKfWq5lR6lT1Odv+gjCzncEUzNI5pHxn2umdhkJCNunijxQX2e9Ezzog7FIr4BlSygmxEXKnTiBt3cJ5DbdXwfQuMX7IxMCm8yB33CKiFVEkbsm3/UhPucKAjLfiQEZcYC9PID6QrC94XvC94XvC94XvC9dRZDlS701+WGOB4luArfW7ykZ6EAxU88rJjopXMg58bHEjJz2sYdY50wXXBuPGEtrKjtAdY6x1oPi6yPS7NTUTif7Z4sXrceB28FTMx75YcQgYUBEx51tngycsSP/YM7Q/mMcjHdTiQldXdAYbFYV/jDueMBOsCPzzUFkZ1Ev/aG2kR0sAogkBICQE/69VFL/HOKsByX+uMykwtcZNDGzu4Twlev2BquehHMjySwmHWOsdY51L105BpxcQV+on7f7uzzoZ1uw4ENdcYWg76hyIvxodhMyWDkgPiVirIz9IIzRBUOAITQEOIDOLU3PLRR7A8kDRt9XEHCt/3hXNCngQDGMfuDx3zcRN0tJMz+0DAXb9yjkUbsgLrtyi9E/pn0JAPVTygD5d+mkoZA4ZTLkZRhpiU7x5VdTQVdsyaa0FQ0MivHE5W20H5ABRXh7kU1BdoezIe7IlKeXEaxCsZ2irOIB4JsnYq63o5DGJoF+CVhe8L3he8L3he8L3hevcBqGEze1DA7iBdk7J0ihJ9/HfJcGuYwAPldQZyQEgIyyodfliQEgJASAkBICQEfncHRAsSxXaH4YTDrHWOsdY7IbelyfyuafzOb/izX6DEc+HQgFLBzIYieKyWNOE4yS8BsWNVOHV7cUgWqtpCz54wnufzLtq/eZTXo7RTD0kSIPnAreBtx3WYxJulYTQ2zzyJk4C3bRJ79aWraTPH3GxMyTd2eNX9Y5RMQviwHWO7loksrQk0LFiu0Pwwnht7J2TsnZOyYjLAIViTyu14ypaB7edIVJjxAJH+7SAkzMInNIynIJGOLTknINYj2mdaa/rArCDNz8qxokF4zSJk5ZMsnmuTS1Dfg1bE/peeyl4X2ATu06ru+TwLGbrqyDYmydk7J2LxBYQ55J0LzHnSJbK3yweSPVJgqb1XYmFIB4Mes2EQE/dQlwC5xXVHuGQIpd8vmztwSAZWi7Q9Yos49SvbSNyAwSsL12srLcWV9hsDuN4JWF7wvV1EJsr06T/LnpdofhhMOrQyxNk7J0tjDr8sSAkBICQEgJASAj87g6IFiWK7Q/DCYdY6x1jrHWOsXWR6JGqZnN/xZr8sMsrRRUUNLlZNDppx2KzhkHxYTZSFjhu/JeklPKCil4cfL85KCyqvw78Cx0S7tv7hjebQokSOU5oQx73Z/pYbC2OSxPMYojmUxOInPwxWLqKYomAXUS/8sSAkBICQEgJASAkAykZ2JgP9QEAncTPifS6aHLnFtpcx8hnOTuPh0vAAD6E3CLjxzQGLL9D19EfPkRJcLroiGGoGcBwh8iG/tuNRggirFHDgGyc1gyzEjFoUI83HjJJofhhMOrRYrtD8NSA6x1jrF1cXRSBdk7J2Tsn1Zr6EOvyxICQC9a9x7hfe4LpFKOTcnfbZ3sYkJh1jrHWOsdY6sXADNEfC84f+WYSAj85RgjfLd/+yQSsL3he8L3he8L3he8L3he8L3he8L3he8FsxN7l+WF7BZN/mYmrjjnf/skErC94XvC94XvC94XvC94XvC94XvC9U026L8rmn8zm/4s1+WF6afIxPVfHRgDYG0kDMIJDoR3k9sp+EyWupsLHX9inHnjicuBb7wUEkwNKz5z5EDOyIqdnxkhJb5qduFTbXNbCKRbKUP3DhzJk2WBvAGSxp1gRl6YeCEsRbArWK2qtXHHO//ZIJWF7wveF7wveF7wveF7wveF7wvXu8r7Mv3IB8zo0tGlo0tGlo0taAgXZOydLk/mYTDrHWOsdY51IC6uMOsdY6x1jrHWLq4w6x1jrAjXdBcqh9KPpP5DlXR5siDW03SWLHEp9ofhhMOsdY6x1kCKF2TsVL6j/ELv/2SCVhe8L3he8L3he8L3he8L3he8L3he8L3g+dkTzFZr8d8ljfSsL3he8L3he8L3he8L3he8L3he8L3he8L3he8H9xBPtho4V0gQFY2Ul6bUeu3DCZDQa7cMJkPLRiy7+Bj456OgUDnjl7V3b3wmBj456nl/ORYk2j8NS2ojOGzCj124YTw1lvOGxmzDwEODXNi17HhJcL3he8L3he8L3he8L3he8L3he8L3he8L3he8HYfGT4H8sSAkBICQEgJASAkAyu9NfliQEgJASAjLfhlaLtD8MJh1jrHWLq4w6x1jq8/m9HeNT1ze3f/sf0rBsw7MdEC7J2TsnZOydk7J2TstRl4HX1UqO6CJP4w365Ud0ESfwtLEgJASAkBICQEgJASAkBICQEgGV3puQgJASAlfl35arsWfVAOTEiViEjlIF43MwEBICQEgNUC0XaS6giT+MN+uVHdBEn8Yb9cqO0B1jrHWOsdY6x1jrHWOdTSLtD8MJh1jrHVopAPBNk7J2TsnZOydi8E2TsnZOyfb/jDfqcPwwmHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6tFiu0PwwmHWOsdY5sCUOfAAJ98yQEgJASAkBdQ64w6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jq0WK7Q/DCYdY6x1i6uLopAuydk7J2TsnZMSkC7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7JiWK7Q/DCYdY6x1jnTBkel2h+GFg7HXLbA8E2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOlyfzMJh1jrHWOsc6kBdXGHWOsdY6x1jrF1cYdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdYusj0u0PwwmHWOsdWhlnwjUPwwmHWOsdYurjDrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOrRYrtD8MJh1jrHWLq4uikC7J2TsnZOydkxKQLsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsmJYrtD8MJh1jrHWOdMGR6XaH4YTDrHWOrRSBdk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2Lw+Eah+GEw6x1jq0UgHgmydk7J2TsnZOxeCbJ2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2Lw+Eah+GEw6x1jrF02sV2h+GEw6x1jrHOpAdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1i6yPS7Q/DCYdY6xzqQF1cYdY6x1jrHWOsXVxh1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1i6yPS7Q/DCYdY6x1Yr28KpNl2m2bPnKEah+GEw6x1jrF1cYdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1aLFdofhhMOsdY6xdXF0UgXZOydk7J2TsmJSBdk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydkxLEbiqEEWSCsysMNu8MNu8MNu8MNu8MNupe053alyModSS4XvS4XvS4XvS4XvS4XvS4XvS4KZE8oLKQLsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOxeHwjUPwwmHWOsdWikA8E2TsnZOydk7J2LwTZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOxeHqwFKJ2ajkZFmEcu+KTcCHsPy1V0oJMI5d8Um4EPYflqux0WYEZweWi7Q/DCYdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOrRYrtD8MJh1jrHWLq4uikC7J2TsnZOydkxKQLsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsmJYkf+uq/ZLyHfDSJ0uK205WdUblw58fMrJ/SfAopQVnnRzG1qoOQJUAQzp8kl2wS+f+Xa+Xn8mpUrR7sIW/T6uLBzSCUFz/ECbwQoSCuZMTOuj2YTLr2b2JRDb/UQTeEzXJVnl/yDPPKkTJJiMxMLWa+uqg38RU7Q+7o+BKQLsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOxeHwjUPwwmHWOsdWikA8E2TsnZOydk7J2LwTZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOxeHqwRN3xqFEf8En5V+LszVRFYAddrHM27pjjvRk4ntvKa2JaHd76whxqFMExyiFO9mv84ZhE5rCYeADmliIFOd3efx5VOM3IG1ZLm/MHkukbGpgjXTBMe0CwVgcMCbnmegDXWIS/uVGg6h6EzJURxiHta8ix1q52qTg9ZtVA3ABUcbG98DZNSwmHOsGHKQLsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOxeHwjUPwwmHWOsdWikA8E2TsnZOydk7J2LwTZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOxeHqwRN3xqFPeJGo+vkPnhWnpAhONsjnfTeqxtJjSGjalu6r3RoVpKfCA3lmsDU308Lw+TsiCjRhphnZW0bhAxeb3HqIbI7esSbkSdpfeWVqbaKMROKaKGAzDr8sBARxWgBiT74QtOtr631rvUl5+LNfQqKVvxICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgGV3pr8sSAkBICQEZb8MrRdofhhMOsdY6xdXGHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWLrIrrllY0tGd9pPfyPn8vX9wzNNFUd/MZWckwDRa8uPWKcFGeASlKpAiLtCxx1WLZr8sSAkBICQEgJASAkBICQEgJASAkBICQEgJASAZXemvyxICQEgJARlvwytF2h+GEw6x1jrF1cYdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdYusiuuWVhV1aLWMfwMC2iUnsmp438gAUCnyaeVtEPTqu79pgSIKTXhLErnpnYmpT7727h2g8psIBe1puSPfWwu7Ga4CrTSpa1paeAErC1hvMiw82U+DBG1UI95JidpeOExx6TbpRhpig72YsxjO4snCuB2dfcpdP6RGXmSNflr1km2qovTUK1zjuMd0aPYGx31Bl80KfqrYwalbQePSfJVDW7ZmQqKVvxICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgGV3pr8sSAkBICQEZb8MrRdofhhMOsdY6xdXGHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWLrIrrllYQZB+IadWxBsE0JrlyanrHLYCKgBHRbi5HleLfMPTs+jyakuIayWdEVPRl9qbLMc5ncanHCHqAWCAy90t/OiYMAfwg9x+8ChGPDcmZB8dssdUSYtayL64s8zzGJL3AtZ7BGAfHesuMaWiOBWgOZDrDUBSZZiKDsBZZ3EGAVafdKX92y5mDUfWVyFgK8fBc5B1mA+DEUSZM+RwAuGHINgwyuk2iVHxSLq6rafgVgKGcDoVjxOOqxbNfliQEgJASAkBICQEgJASAkBICQEgJASAkBICQDCNMAct9jKwveF7wveF7wveF7wveF7wveF6rZwYyE+rCIselYXvC94XvC94XvC94XvC94XvC94OHpcl7zMJh1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6tFiR/7BWVYMNW07BTaELVpvcfy7xAZSmeSgxZeye1yVUTNRIgWYo3QOOTrzXKo0x06OPUfRVwINIUDKMw5rSjoqslF6S4AletJF/ObebJb3IfLd1KI6KrJH8JzFGtlMECgRjiBfxdq33UO9WfyjLaH4YTDrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x2QUvjDfrlR3QRJ/GG/U4fyLrHWOsdY6x1jrODHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOdTQyRzd+OR96A1aAU6yEuiNwxxA0an47UUPAHVwgwWeapumKK/sEvcXb4xpJjdUBD0dSnV0TVNFU7X8oEHBikJNdfLX7lZJ6OL8nEBFatGJlscVzMUUUw/19WfyjLaH4YTDrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jq0WJH/sGdouIfWKhV1LHC/b1wQRV4rw/L8FtT3n9BIyBQT8GXrP09Sh0ILYWiZDaTnbf3LYnpNUHBJB6/T+Gp8eWyrNQ85eXVM/WftQYocp9EpZ2oOEA//neaoPFywMfcA8/KpcQ7UdXbTN5+G8SNrSxcs46rFs1+WJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAjLj/DL3/FmtUU2F9WKTKzt7oG813Grs2A+AKJfyWj4Cg9pdMgL66ofkLJc0b3G6m9bv9olxD+tYzHILpX9zRUClYnQ8SHEEifyrbiC8joS2HaalsYY4jFspOYmFV05ePUWXGqPsMtLGAJxvsj5qejxMaDMseA1VjfN05QjUPwwmHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWLrIrrlljQ+6N+rQBv1tg1dFeIWEB9t4Yj07j9ieohHtjKc3CMUUptxeoWOOqxbNfliQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgIy4/lML0GP7KS3nDZhR67cMJj/hrjowmQ0GuOjB5jLtugeCJ39kF+8hb59RbSgeu3DCZDQa7b6pkNBrtwwmQ0GmnbXmVX2uMOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1i6yPTmajugfv+MN+uVHTri/clZrwtr5Uuydk7J9v+MN+pwsUgXZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7JiWK7Q/DCYdY6x1jmvOgDeFYjUPwwmHWOsdYurjDrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdYusj0u0PwwmHWOsdWhn0oy2h+GEw6x1jq0UgXZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7JiWK7Q/DCYdY6x1jnTBcYdY6x1jrHWOsc6kB1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsc6mkXaH4YTDrHWOsXTakC7J2TsnZOydk6XFs1+WJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAjLkEC7J2TsnZOydkxGWJsnZOydk7J2TsmJSBdk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsmJYrtD8MJh1jrHWOa9EzKFSmdtNkcQwmHWOsdY6x1jrF1cYdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrF1kel2h+GEw6x1jqydn0zTBvUgJASAkBICQEgIy34kBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAkBICQEgJASAjEKiYIHiZ0QmQ0Gu3DCZDQa7cMJkNBrtwwmQ0Gu3DCZDQa7cMJkNBrtwwmQ0Gu3DCZDQa7YXEErIy1Ev+elCl7jMa7cMJkNBrtwwmQ0Gu3DCZDQa7cMJj/gPjowmQ0Gu3DCZDQa7cMJkNBrtwwmQ0GmcaLG+VxKQLsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TsnZOydk7J2TEZe0tofhhMOsdY6x1jrHWOsdY6xzrALqJf9CnvxAB4dkzAwVWSI6GcyiWfw7JmBgqskR0M5fvDkJND8MJh1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOrQy9/xa9UPwwmHWOsdY6x1jrHWOsc6wC6iX/Qp78MJh1jrHWOsdY6x1jrHWOsdWjhyEmh+GEw6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHVoZe/4tdRfRwc1HLDwOjJ9ggLJ1AMf6drQ/DCXCRFS3IkihWR2V/5YXOW6B9k6XZ1CxYrIhKBhMOsdY6x1jrHWOsdY6x1jrF2B/LRdofhhMOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6xdNuO4B0k1QAC6ATpa1ct9WHRLo7KbTBLrYfcI3webxbntrkHocX12GDPntZFsxPQIn7yflHQHYkoavdFwHlQlLZ+wp7+KE1btE3mduzd+29wEN4+CV8lId40o9qcEMZte8VL2QtR/TW0vB9C7d8wI3CKwz7SzH3Q36iOpZx+3AWKNXyc2t6qP8HoDi0nsQBN6yCFXWyTBlNk6XZ1CxYrIhKBisXaH4YTDrHWOsdY6x1jrHVo4chJofhhMOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1aGXv+LMhwLwzwPR4xX2bnNAeqa9ZugEvBafgXtLShL7ckKjdhA7d5NwaCnRo+aYIKpdErYOcUwoUUHRSJZ/8W81KS75O8lm44FdWi9kwRBdp7Jduso6pRjfbKR/d8/V4JYk9V3CV4SD7PHnW69oqyQ4Yz8hfD1MUFubQ+/NO6DQNNlHYRIPeRs3RSC5MCeSGXApy1wJceah93Rxwyu9DVFYSbUQLsWB8ftEGxCYc9mfLxzOhpefI8nGHFxUw/y4qzbpGwqO+sdY6x1i7A/lou0PwwmHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdY6x1jrHWOsdYum3Hb8uFw/ZcDq1fDYcmmvqdJlSytfLuAc8ZCydi82lqJf9CorPmSAkBGO6m8aVgoPclDu753J24SyePn9i0CDibcbTCMRd5Sx0ZQBEebT7480FItIvlx7YTbQcfHbPAA8TtzYlPxeR1NQu1Bk9to6yWQFKli++x8BV33MajQ/DCYXYH8tF2h+GE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## Prerequisites

- Push the model and label files to the device to run the application. For more
                    information, see [Download the model and label files](https://docs.qualcomm.com/doc/80-70014-50/topic/ai-ml-sample-applications.html#ai-ml-sample-applications__prereq_v23_cxc_gbc).
- Enable SSH in Permissive mode to securely access your host device. For
                    instructions, see [How to SSH?](https://docs.qualcomm.com/bundle/publicresource/topics/80-70014-254/how_to.html#how-to-ssh-)
- Use the following command to enter the SSH shell and execute the use
                        cases:

        ssh root@<ip-addr of the target device>Copy to clipboard
- Run the following command to enable the Permissive
                    mode:

        setenforce 0Copy to clipboard
- Run the following command to enable the
                    display:

        export XDG_RUNTIME_DIR=/dev/socket/weston && export WAYLAND_DISPLAY=wayland-1Copy to clipboard
- Run the following command to push the files from host
                    machine:

        scp <filename> root@<IP address of target device>:/opt/Copy to clipboard

## Use cases

Use the following syntax command to run the application:

    gst-ai-classification --ml-framework= <OPTION>Copy to clipboard

Run the following commands to execute the application for various use cases:

Note: The following commands provide the default model and label
                paths. If you have a different folder structure, replace the default paths in the
                command line parameters.

To use the uint8 functionality, copy the uint8 Inceptionv3 model in the
                commands:

    cp /opt/inceptionv3.tflite /opt/inceptionv3_uint8.tfliteCopy to clipboard

- Execute using Qualcomm Neural Processing SDK
                    runtime:

        gst-ai-classification --ml-framework=1 --model=/opt/inceptionv3.dlc --labels=/opt/classification.labelsCopy to clipboard
- Execute using TFLite
                    runtime:

        gst-ai-classification --ml-framework=2 --model-format=1 --model=/opt/inceptionv3.tflite --labels=/opt/classification.labelsCopy to clipboard

To display the available help options, run the following command:

    gst-ai-classification --helpCopy to clipboard

To stop the use case, press CTRL + C.

## Expected output

The classified object is displayed on the local display.

Figure : Expected output for gst-ai-classification application
                
                ![](data:image/png;base64,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)

## Pipeline flow

The table lists the plugins used to execute the object classification
                    pipeline:| Plugin | Description |
| --- | --- |
| [qtiqmmfsrc](https://docs.qualcomm.com/doc/80-70014-50/topic/qtiqmmfsrc.html) | Captures the camera live stream and employs the tee to split the<br>                                stream for inferencing. |
| [qtimlvconverter](https://docs.qualcomm.com/doc/80-70014-50/topic/qtimlvconverter.html) | <ol class="ol" id="gst-ai-classification__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 is done when the model expects floating-point values as<br>                                            input.<ol class="ol" type="a" id="gst-ai-classification__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. |
| [qtimlsnpe](https://docs.qualcomm.com/doc/80-70014-50/topic/qtimlsnpe.html) and [qtimltflite](https://docs.qualcomm.com/doc/80-70014-50/topic/qtimltflite.html) | **qtimlsnpe**: Acts as the ML inferencing plugin, which is<br>                                    used with the Qualcomm Neural Processing SDK runtime. It uses<br>                                    the Inceptionv3 model for classification.<br><br><br>                                <br>**qtimltflite**: Acts as an alternative option to qtimlsnpe.<br>                                    It runs on the TFLite runtime and employs the Inceptionv3 TFLite<br>                                    model for classification.<br><ol class="ol" id="gst-ai-classification__ol_l2x_zjq_nbc"><br>                                    <li class="li"><br>                                        <p class="p">The application runs on the external delegate to execute<br>                                            the model using the Qualcomm<sup class="ph sup">®</sup> Hexagon™ Tensor<br>                                            Processor.</p><br><br>                                    </li><br><br>                                    <li class="li">After the inference runtime receives the tensor stream on<br>                                        its sink pad, it executes 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/80-70014-50/topic/qtimlvdetection.html) | Handles inference results from any classification model.<ol class="ol" id="gst-ai-classification__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 Inceptionv3 module. </li><br><br>                                    <li class="li">Generates results in the form of video frames with<br>                                        classification labels.</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 results to the sink pad of<br>                                        qtivcomposer.</li><br><br>                                </ol> |
| [qtivcomposer](https://docs.qualcomm.com/doc/80-70014-50/topic/qtivcomposer.html) | <ol class="ol" id="gst-ai-classification__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/80-70014-50/topic/waylandsink.html) | <ol class="ol" id="gst-ai-classification__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> |

**Parent Topic:** [AI/ML sample applications](https://docs.qualcomm.com/doc/80-70014-50/topic/ai-ml-sample-applications.html)

Last Published: Oct 27, 2025

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