Lidar Code-Along
Learn how to load point cloud data, preprocess datasets, define and train networks, and generate detections.
Learn how to load point cloud data, preprocess datasets, define and train networks, and generate detections.
Need a refresher? Try a free, interactive tutorial.
Load point cloud data, load bounding box labels, and split training and testing sets.
What you learned: To load point cloud data and corresponding labels
fileDatastore
with pcread
functionboxLabelDatastore
functionSplit a data set into training and test sets and discover various augmentation techniques.
What you learned: Splitting datasets and data augmentation
Understand the definition of anchor boxes, pillars for the PointPillars network, and PointPillars network.
What you learned: To define a PointPillars network for object detection
Train the model on the PointPillar network or use a pretrained model.
What you learned: To train PointPillars object detector
trainPointPillarsObjectDetector
function to train PointPillarsUse the trained network to detect objects in the test data and display the point cloud with bounding boxes.
What you learned: To test PointPillars network on test dataset