Mono Full Resolution Saver

1git clone https://github.com/luxonis/depthai-python.git
2cd depthai-python/examples
3python3 install_requirements.py

1#!/usr/bin/env python3
2
3from pathlib import Path
4import cv2
5import depthai as dai
6import time
7
8# Create pipeline
9pipeline = dai.Pipeline()
10
11# Define source and output
12monoRight = pipeline.create(dai.node.MonoCamera)
13xoutRight = pipeline.create(dai.node.XLinkOut)
14
15xoutRight.setStreamName("right")
16
17# Properties
18monoRight.setCamera("right")
19monoRight.setResolution(dai.MonoCameraProperties.SensorResolution.THE_720_P)
20
21# Linking
22monoRight.out.link(xoutRight.input)
23
24# Connect to device and start pipeline
25with dai.Device(pipeline) as device:
26
27    # Output queue will be used to get the grayscale frames from the output defined above
28    qRight = device.getOutputQueue(name="right", maxSize=4, blocking=False)
29
30    dirName = "mono_data"
31    Path(dirName).mkdir(parents=True, exist_ok=True)
32
33    while True:
34        inRight = qRight.get()  # Blocking call, will wait until a new data has arrived
35        # Data is originally represented as a flat 1D array, it needs to be converted into HxW form
36        # Frame is transformed and ready to be shown
37        cv2.imshow("right", inRight.getCvFrame())
38
39        # After showing the frame, it's being stored inside a target directory as a PNG image
40        cv2.imwrite(f"{dirName}/{int(time.time() * 1000)}.png", inRight.getFrame())
41
42        if cv2.waitKey(1) == ord('q'):
43            break