DepthAI OAK ColorCamera still capture

colorcam_still_capture.py

#!/usr/bin/env python3

import depthai as dai
import cv2
import time

pipeline = dai.Pipeline()

# Define sources and outputs
camRgb = pipeline.create(dai.node.ColorCamera)
camRgb.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)
camRgb.setIspScale(2,3) # 1080P -> 720P

controlIn = pipeline.create(dai.node.XLinkIn)
controlIn.setStreamName('control')
controlIn.out.link(camRgb.inputControl)

# We use Script node to query frame from ColorCamera - this allows 3A algos to run continuosly,
# as opposed to only when the still is captured
script = pipeline.create(dai.node.Script)
script.setScript("""
    while True:
        node.io['preview'].get() # Discard image after the get()
""")
camRgb.preview.link(script.inputs['preview'])

xout = pipeline.create(dai.node.XLinkOut)
xout.setStreamName('out')
camRgb.still.link(xout.input)

with dai.Device(pipeline) as device:
    # Get data queues
    controlQ = device.getInputQueue('control')
    stillQ = device.getOutputQueue('out')

    def capture():
        ctrl = dai.CameraControl()
        ctrl.setCaptureStill(True)
        controlQ.send(ctrl)

    time.sleep(1) # For 3A algos to run
    capture()
    frame = stillQ.get().getCvFrame() # Initial frame

    while True:
        if stillQ.has():
            # Get the frame after capture() was called
            frame = stillQ.get().getCvFrame()

        cv2.imshow('Still', frame)

        key = cv2.waitKey(1)
        if key == ord('q'):
            break
        elif key == ord('c'):
            # Capture a new frame - you could call this function from within your app
            capture()