01 - RGB Preview¶
This example shows how to set up a pipeline that outpus a small preview of the RGB camera, connects over XLink to transfer these to the host real-time, and displays the RGB frames on the host with OpenCV.
Demo¶
Setup¶
Please run the following command to install the required dependencies
python3 -m pip install -U pip
python3 -m pip install opencv-python
python3 -m pip install -U --force-reinstall depthai
For additional information, please follow installation guide
Source code¶
Also available on GitHub
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | #!/usr/bin/env python3
import cv2
import depthai as dai
# Start defining a pipeline
pipeline = dai.Pipeline()
# Define a source - color camera
camRgb = pipeline.createColorCamera()
camRgb.setPreviewSize(300, 300)
camRgb.setBoardSocket(dai.CameraBoardSocket.RGB)
camRgb.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)
camRgb.setInterleaved(False)
camRgb.setColorOrder(dai.ColorCameraProperties.ColorOrder.RGB)
# Create output
xoutRgb = pipeline.createXLinkOut()
xoutRgb.setStreamName("rgb")
camRgb.preview.link(xoutRgb.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 rgb frames from the output defined above
qRgb = device.getOutputQueue(name="rgb", maxSize=4, blocking=False)
while True:
inRgb = qRgb.get() # blocking call, will wait until a new data has arrived
# Retrieve 'bgr' (opencv format) frame
cv2.imshow("bgr", inRgb.getCvFrame())
if cv2.waitKey(1) == ord('q'):
break
|
Got questions?
We’re always happy to help with code or other questions you might have.