Note

This Python sample is available with all Metavision Intelligence Plans. The corresponding C++ sample is available only with our Professional plan.

Noise Filtering using Python

The Python bindings of Metavision SDK CV provides different noise filtering strategies.

The sample metavision_noise_filtering.py shows how to use the Python bindings of Metavision SDK CV to apply different noise filtering strategies. In addition, it shows how to capture keys pressed in a display window used to modify the behavior of the stages while the pipeline is running.

The following filters can be applied via keyboard keys:

• a - metavision_sdk_cv.ActivityNoiseFilterAlgorithm

• t - metavision_sdk_cv.TrailFilterAlgorithm

• s - metavision_sdk_cv.SpatioTemporalContrastAlgorithm

Expected Output

The sample visualizes CD events after filtering (here, we applied Activity Filter):

How to start

To start the sample based on the live stream from your camera, run:

Linux

python3 metavision_noise_filtering.py

Windows

python metavision_noise_filtering.py

To start the sample, you need to provide recorded data with the full path to a RAW file (here, we use a file from our Sample Recordings):

Linux

python3 metavision_noise_filtering.py -i monitoring_40_50hz.raw

Windows

python metavision_noise_filtering.py -i monitoring_40_50hz.raw