For a realtime detection application, I want to rotate the video input first, and then send it to inference. Is it possible to implement it by Deepstream?
Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
• The pipeline being used
DeepStream supports this operation, you can refer to deepstream_custom_preprocessing_app to configure the transformation/rotation matrix.
However, could you explain why this is necessary? Perhaps there are other ways to do it?
This repository has only been tested on DS-8.0. If you are not using DS-8.0, please try porting it yourself.
Thank you very much for the help.
This seems a CPU based solution and depends on DS 8.0, and we are still using DS 7.1. We will currently using OpenCV to rotate the video, and will try this solution later.
This is a CUDA solution that combines linear transformation and normalization; it’s not a CPU solution. This code should be easily portable to DS-7.1.
There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks.