NVIDIAI-AI-IoT-Ocupancy-Analytics

People count application With Deepstream SDK and Transfer Learning Toolkit

• Description
• Prerequisites
• Getting Started
• Build
• Run
• Output
• References

  

Description

This is a demo project for "People Count Application" using NVIDIA Deepstream SDK and Transfer Learning Toolkit (TLT).The application is based on deepstream-test5 application. It takes the input source data, uses PeopleNet model for inferencing and sends the people count data to cloud.

Prerequisites

• Install Deepstream: [https://docs.nvidia.com/metropolis/deepstream/dev-guide/index.html#page/DeepStream_Development_Guide/deepstream_quick_start.html#]

• Download PeopleNet model: [https://ngc.nvidia.com/catalog/models/nvidia:tlt_peoplenet]

• This application is based on deepstream-test5 application. More about test5 application: [https://docs.nvidia.com/metropolis/deepstream/dev-guide/index.html#page/DeepStream_Development_Guide/deepstream_reference_app_test5.html]

• Install Kafka: [https://kafka.apache.org/quickstart] and create the kafka topic:

tar -xzf kafka_2.13-2.6.0.tgz

cd kafka_2.13-2.6.0

bin/zookeeper-server-start.sh config/zookeeper.properties

bin/kafka-server-start.sh config/server.properties

bin/kafka-topics.sh --create --topic quickstart-events --bootstrap-server localhost:9092

Getting Started

• Preferably clone the repo in $DS_SDK_ROOT/sources/apps/sample_apps/
• Download peoplnet model: cd demo/config && ./model.sh
• For Jetson use: bin/jetson/libnvds_msgconv.so
• For x86 use: bin/x86/libnvds_msgconv.so
  

Build

cd demo && make

Run

./deepstream_test5 -c configs/test5_config_file_src_infer_tlt.txt

In another terminal run this command to see the kafka messages:

bin/kafka-console-consumer.sh --topic quickstart-events --from-beginning --bootstrap-server localhost:9092

Output

The output will look like this:

Where you can see the kafka messages for entry and exit count.

References

• CREATE INTELLIGENT PLACES USING NVIDIA PRE-TRAINED VISION MODELS AND DEEPSTREAM SDK: [https://info.nvidia.com/iva-occupancy-webinar-reg-page.html?ondemandrgt=yes]
• Deepstream SDK: [https://developer.nvidia.com/deepstream-sdk]
• Deepstream Quick Start Guide: [https://docs.nvidia.com/metropolis/deepstream/dev-guide/index.html#page/DeepStream_Development_Guide/deepstream_quick_start.html#]
• Transfer Learning Toolkit: [https://developer.nvidia.com/transfer-learning-toolkit]