DepthAI mono camera schedule

demo.py

#!/usr/bin/env python3

import time
from pathlib import Path

import cv2
import depthai as dai
import schedule
import time

# Start defining a pipeline
pipeline = dai.Pipeline()

# Define a source - mono (grayscale) camera
camRight = pipeline.createMonoCamera()
camRight.setBoardSocket(dai.CameraBoardSocket.RIGHT)
camRight.setResolution(dai.MonoCameraProperties.SensorResolution.THE_720_P)

# Create output
xoutRight = pipeline.createXLinkOut()
xoutRight.setStreamName("right")
camRight.out.link(xoutRight.input)

# Pipeline is defined, now we can connect to the device
with dai.Device(pipeline) as device:
    # Start pipeline
    device.startPipeline()

    # Output queue will be used to get the grayscale frames from the output defined above
    qRight = device.getOutputQueue(name="right", maxSize=1, blocking=False)

    # Make sure the destination path is present before starting to store the examples
    Path('07_data').mkdir(parents=True, exist_ok=True)

    def save_img():
        inRight = qRight.get()  # Blocking call, will wait until a new data has arrived
        # Data is originally represented as a flat 1D array, it needs to be converted into HxW form
        frameRight = inRight.getCvFrame()
        # Frame is transformed and ready to be shown
        cv2.imshow("right", frameRight)
        # After showing the frame, it's being stored inside a target directory as a PNG image
        cv2.imwrite(f"07_data/{int(time.time() * 10000)}.png", frameRight)

    # Schedule the save_img function
    schedule.every(1).hour.do(save_img)

    while True:
        schedule.run_pending()
        time.sleep(1)