目前有两种方法：

1.用ImageManip

#!/usr/bin/env python3
 
import cv2
import depthai as dai
 
# Create pipeline
pipeline = dai.Pipeline()
 
# Define sources and outputs
monoLeft = pipeline.create(dai.node.MonoCamera)
monoRight = pipeline.create(dai.node.MonoCamera)
xoutLeft = pipeline.create(dai.node.XLinkOut)
xoutRight = pipeline.create(dai.node.XLinkOut)
 
xoutLeft.setStreamName('left')
xoutRight.setStreamName('right')
 
# Properties
monoLeft.setBoardSocket(dai.CameraBoardSocket.LEFT)
monoLeft.setResolution(dai.MonoCameraProperties.SensorResolution.THE_720_P)
monoRight.setBoardSocket(dai.CameraBoardSocket.RIGHT)
monoRight.setResolution(dai.MonoCameraProperties.SensorResolution.THE_720_P)
 
 
manipLeft = pipeline.create(dai.node.ImageManip)
 
#manipLeft.initialConfig.setHorizontalFlip(True)
#manipLeft.initialConfig.setVerticalFlip(True)
manipLeft.initialConfig.setRotationDegrees(180)
 
 
# Linking
monoRight.out.link(xoutRight.input)
monoLeft.out.link(manipLeft.inputImage)
manipLeft.out.link(xoutLeft.input)
#monoLeft.out.link(xoutLeft.input)
 
# Connect to device and start pipeline
with dai.Device(pipeline) as device:
 
    # Output queues will be used to get the grayscale frames from the outputs defined above
    qLeft = device.getOutputQueue(name="left", maxSize=4, blocking=False)
    qRight = device.getOutputQueue(name="right", maxSize=4, blocking=False)
 
    while True:
        # Instead of get (blocking), we use tryGet (non-blocking) which will return the available data or None otherwise
        inLeft = qLeft.tryGet()
        inRight = qRight.tryGet()
 
        if inLeft is not None:
            cv2.imshow("left", inLeft.getCvFrame())
 
        if inRight is not None:
            cv2.imshow("right", inRight.getCvFrame())
 
        if cv2.waitKey(1) == ord('q'):
            break
 

2.setImageOrientation

参考示例：Spatial detections on rotated OAK