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NEORACER DOCS
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RC.VISION

The vision module provides object detections from the model running on the car.

METHODS

rc.vision.get_detections()returns List[Detection]

The object detections from the latest camera frame. Each Detection has class_id (the label string), score (confidence in 0 to 1), and bbox (center x, center y, width, height, in pixels).

rc.vision.get_detections_async()returns List[Detection]

The same detections but readable outside the start/update loop. This function should only be used in a Jupyter Notebook cell, after rc.go_async() has been called.

EXAMPLE USAGE

python
import racecar_core

rc = racecar_core.create_racecar()

def start():
    pass

def update():
    for det in rc.vision.get_detections():
        cx, cy, w, h = det.bbox
        print(f"{det.class_id} at ({cx}, {cy}), score {det.score:.2f}")

rc.set_start_update(start, update)
rc.go()

For full documentation, visit the racecar-neo-library documentation.