NVIDIA-AI-IOT / deepstream-occupancy-analytics

This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.
MIT License
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output type #31

Closed vuminhduc97 closed 3 years ago

vuminhduc97 commented 3 years ago

hello, why 's my output look like:

"analyticsModule" : { "id" : "XYZ", "description" : "", "source" : "OpenALR", "version" : "1.0", "confidence" : 0.0 }, "object" : { "id" : "0", "speed" : 0.0, "direction" : 0.0, "orientation" : 0.0, "person" : { "age" : 0, "gender" : "", "hair" : "", "cap" : "", "apparel" : "", "confidence" : 1.0 }, "bbox" : { "topleftx" : 0, "toplefty" : 0, "bottomrightx" : 0, "bottomrighty" : 0 }, "location" : { "lat" : 0.0, "lon" : 0.0, "alt" : 0.0 }, "coordinate" : { "x" : 0.0, "y" : 0.0, "z" : 0.0 } }, "event" : { "id" : "60938ebc-95e5-434a-a53c-6c3d15a6476e", "type" : "entry" }, "videoPath" : ""

mjhuria commented 3 years ago

Hi,

You didn't update the libnvds_msgconv.so lib from https://github.com/NVIDIA-AI-IOT/deepstream-occupancy-analytics/tree/master/bin

vuminhduc97 commented 3 years ago

thanks for your rep, how can i build my libnvds_msgconv.so lib by myself? I wanna add some data type.

mjhuria commented 3 years ago

Please check this webinar (https://info.nvidia.com/iva-occupancy-webinar-reg-page.html?ondemandrgt=yes) for steps on how to update the schema.

vuminhduc97 commented 3 years ago

thank u very much