Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) Jetson
• DeepStream Version 5.1
• Issue Type( questions, new requirements, bugs) Question
I am planning to do post-processing on nvinfer results. I have an object detection TLT model running on a nvinfer element. For instance, I would like to crop the frames using the model’s output bounding box. For this, of course, I can write a custom plugin that loads the frame and meta from the buffer and produces the crops. However, this will have the overhead of loading the entire frame to the CPU, which is inefficient. How can I improve this? How can I avoid loading the entire frame from buffer to CPU? Is there any plugin?