Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) nano
• DeepStream Version 7.0
• JetPack Version (valid for Jetson only) 6.0
• TensorRT Version 8.6.2.3-1+cuda12.2
• NVIDIA GPU Driver Version (valid for GPU only) NVIDIA-SMI 540.2.0
• Issue Type( questions, new requirements, bugs)
Original Code Link :
Is deepstream-retail-analytics can be implemented in Deepstream7.0 ?
I see you report one issue in the repo: In deepstream7.0 : it return error docker.service failed · Issue #8 · NVIDIA-AI-IOT/deepstream-retail-analytics · GitHub. Are you run docker command in the DeepStream contaimer or another terminal?
docker container
While the GitHub repositories provide extensive resources, many developers face challenges due to the complexity and occasional lack of clarity in the setup process. As a result, troubleshooting errors can become time-consuming, leading to frustration and reduced productivity.
To address this, it would be immensely beneficial if NVIDIA could create and upload step-by-step video tutorials on YouTube for popular repositories such as DeepStream. These tutorials could cover:
A video format would greatly enhance the learning experience for developers by offering visual guidance and clearer explanations. This initiative would not only help the existing developer community but also attract new users who might otherwise be deterred by the complexity of the current resources.
Thank you for your consideration. I believe such an effort would be highly beneficial to the global developer community and would further cement NVIDIA’s position as a leader in cutting-edge AI and deep learning technologies.
Please note below statement in the guide: GitHub - NVIDIA-AI-IOT/deepstream-retail-analytics: A DeepStream sample application demonstrating end-to-end retail video analytics for brick-and-mortar retail.
Note: Bash commands in this section should be run from a separete terminal window and not from within the DeepStream container .