RTab Map VIO
This example sets up a pipeline to process 640x400 stereo camera frames and 100 Hz IMU data, using Shi-Thomasi feature tracking and RTAB-Map VIO for visual odometry, with transformations and rectified images visualized in real-time via a RerunNode.Setup
This example requires the DepthAI v3 API, see installation instructions.Pipeline
Source code
Python
C++
Python
PythonGitHub
1import time
2import depthai as dai
3from rerun_node import RerunNode
4
5# Create pipeline
6
7with dai.Pipeline() as p:
8 fps = 30
9 width = 640
10 height = 400
11 # Define sources and outputs
12 left = p.create(dai.node.Camera).build(dai.CameraBoardSocket.CAM_B, sensorFps=fps)
13 right = p.create(dai.node.Camera).build(dai.CameraBoardSocket.CAM_C, sensorFps=fps)
14 imu = p.create(dai.node.IMU)
15 stereo = p.create(dai.node.StereoDepth)
16 featureTracker = p.create(dai.node.FeatureTracker)
17 odom = p.create(dai.node.RTABMapVIO)
18
19 rerunViewer = RerunNode()
20 imu.enableIMUSensor([dai.IMUSensor.ACCELEROMETER_RAW, dai.IMUSensor.GYROSCOPE_RAW], 200)
21 imu.setBatchReportThreshold(1)
22 imu.setMaxBatchReports(10)
23
24 featureTracker.setHardwareResources(1,2)
25 featureTracker.initialConfig.setCornerDetector(dai.FeatureTrackerConfig.CornerDetector.Type.HARRIS)
26 featureTracker.initialConfig.setNumTargetFeatures(1000)
27 featureTracker.initialConfig.setMotionEstimator(False)
28 featureTracker.initialConfig.FeatureMaintainer.minimumDistanceBetweenFeatures = 49
29
30 stereo.setExtendedDisparity(False)
31 stereo.setLeftRightCheck(True)
32 stereo.setRectifyEdgeFillColor(0)
33 stereo.enableDistortionCorrection(True)
34 stereo.initialConfig.setLeftRightCheckThreshold(10)
35 stereo.setDepthAlign(dai.CameraBoardSocket.CAM_B)
36
37
38 # Linking
39
40 left.requestOutput((width, height)).link(stereo.left)
41 right.requestOutput((width, height)).link(stereo.right)
42 stereo.rectifiedLeft.link(featureTracker.inputImage)
43 featureTracker.passthroughInputImage.link(odom.rect)
44 stereo.depth.link(odom.depth)
45 featureTracker.outputFeatures.link(odom.features)
46 imu.out.link(odom.imu)
47 odom.passthroughRect.link(rerunViewer.inputImg)
48 odom.transform.link(rerunViewer.inputTrans)
49 p.start()
50 while p.isRunning():
51 time.sleep(1)
Need assistance?
Head over to Discussion Forum for technical support or any other questions you might have.