Berkeley AutoLab Perception Documentation

Welcome to the documentation for the Berkeley AutoLab’s perception module! This module is designed to be useful in a broad set of robotic perception tasks. The perception module depends directly on AutoLab’s autolab_core module.

Installation Guide

• Installation Instructions
  • Dependencies
  • Cloning the Repository
  • Installation
  • Testing
  • Building Documentation
  • Deploying Documentation

API Documentation

• Camera Intrinsics
  • CameraIntrinsics
• Convolutional Neural Networks
  • AlexNet
• Detection
  • RgbdDetector
  • RgbdDetection
  • RgbdForegroundMaskDetector
  • RgbdForegroundMaskQueryImageDetector
• Features
  • FeatureExtractor
  • CNNBatchFeatureExtractor
  • CNNReusableBatchFeatureExtractor
  • Feature
  • BagOfFeatures
  • LocalFeature
  • GlobalFeature
  • SHOTFeature
  • MVCNNFeature
  • Correspondences
  • NormalCorrespondences
  • FeatureMatcher
  • RawDistanceFeatureMatcher
  • PointToPlaneFeatureMatcher
• Image Classes
  • Image
  • ColorImage
  • DepthImage
  • IrImage
  • GrayscaleImage
  • BinaryImage
  • SegmentationImage
  • PointCloudImage
  • NormalCloudImage
  • RenderMode
  • ObjectRender
• Kinect Sensor
  • Kinect2Sensor
  • VirtualKinect2Sensor
  • Kinect2SensorFactory
• Point Cloud Registration
  • IterativeRegistrationSolver
  • RegistrationResult
  • PointToPlaneICPSolver
• Video Classes
  • VideoRecorder

Indices and tables

• Index
• Module Index
• Search Page