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This demo chute uses an OpenCV cascade classifier to detect and count vehicles in images from a camera mounted on a street pole.

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Paradrop Traffic Camera

This demo chute uses an OpenCV cascade classifier to detect and count vehicles in images from a camera mounted on a street pole.

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Requirements

The default configuration of this chute requires the Paradrop node to have the paradrop-imserve module installed. This is because it pulls images from a virtual camera (a web server that provides a different frame with each request). If you are using this chute for a tutorial, it is likely we installed paradrop-imserve for you. Otherwise, you will need to install paradrop-imserve or change the IMAGE_SOURCE_URL environment variable to point to a real camera.

To install paradrop-imserve, connect to the node using SSH and run the following command.

snap install paradrop-imserve

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This demo chute uses an OpenCV cascade classifier to detect and count vehicles in images from a camera mounted on a street pole.

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