AI Based Object Redaction - Performance

The library has two major components: the detection of the desired object done by the ONNX model and the application of the redaction effect done either by the CPU or GPU.

For testing purposes, take into account the following points:

• Jetpack 5.1.X
• Tested with GPU+CPU and CPU only. For GPU, execution is done with TensorRT and CUDA.
• The library offers two approaches: each method used separately and all together using the apply method.
• The metrics measured are CPU and GPU consumption, processing time, and FPS.
• The tracker is implemented only with support for CPU.

Check the following links for performance on:

• [Xavier NX]