Hi @all , i want to use the Yolov3 Detector similar to the provided example and send the detections to a kafka topic. I have rebuild an used the test4 example to connect to kafka and it works. I use the Jeston AGX Xavier. I am struggling on how to start to design a pipeline which inferes with Yolov…

I think the steps are: make test4 work Replace detection by yolov3 Here has nvinfer source code diagram: DeepStream SDK FAQ You can also refer to deepstream-test5/configs

You can port library “objectDetector_Yolo” (include cudaEngine create and output parser) and “config_infer_primary_yoloV3.txt” to deepstream-test4

Can you tell me how to do that properly? Or where i can get instructions? Or can you tell me how to use csi video input in test4-app? Is there any documentation besides the readme files?

I have now added a new sink as configuration group with the schema from https://docs.nvidia.com/metropolis/deepstream/dev-guide/index.html#page/DeepStream%2520Development%2520Guide%2Fdeepstream_app_config.3.2.html%23wwpID0ENHA This is it: [sink2] enable=1 #Type - 1=FakeSink 2=EglSink 3=File 4=RTS…

Thanks for your reply! As Test4 works, i will now have a look at 2. and get back here soon.

Workflow to combine YoloV3 sample and output Data to Kafka

Accelerated Computing Intelligent Video Analytics DeepStream SDK

ChrisDing March 17, 2020, 8:13am 6

I think the steps are:

make test4 work
Replace detection by yolov3
Here has nvinfer source code diagram:
DeepStream SDK FAQ

You can also refer to deepstream-test5/configs

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Workflow to combine YoloV3 sample and output Data to Kafka

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