Configuring and Running Pipelines#

Editing Pipeline Parameters#

In the Pipeline Builder, you can view and configure the elements of the pipeline. For example, you can change the model and device parameters in Object Detection and Object Classification elements.

Edit Pipeline Properties

Running Pipelines on CPU#

You can run the pipeline and save the output video using CPU-based encoding. Once the pipeline starts, CPU utilization should visibly increase. The generated output video is then available for inspection.

Run Pipeline

Running Pipelines on GPU#

You can run the pipeline on a GPU to evaluate potential performance improvements. This requires updating the device settings in the detection and classification components. After configuring the pipeline, run it and record the output. During execution, GPU utilization should visibly increase.

With output saving enabled, the pipeline might not achieve maximum performance. You can then rerun the pipeline with output saving disabled to measure the impact of I/O overhead.

Pipeline Builder Results

Switching Variants#

If you have multiple variants of the same pipeline, you can easily switch between them to compare performance across different configurations. To switch variants, select the desired variant from the dropdown menu next to the pipeline name. This allows you to quickly evaluate how different models or hardware settings affect the pipeline’s performance without needing to create separate pipelines for each configuration.

Switch Variant