lidar_prod

Background

  • Overview of the process
    • schema of the overall process
  • Production process used to transform point clouds classification
    • A.1) Vegetation detection
    • A.2) Unclassified detection
    • B) Building Module
    • B.1) Building Validation
    • B.2) Building Completion
    • B.3) Building Identification
  • Strategy to find optimal decision thresholds for Building validation
    • Motivations
    • Strategy

Getting Started

  • Installation
    • Set up a virtual environment
    • Install the app as a python module
    • Provide credentials
  • Using the app
    • Run within a docker container
    • Run as a python module
    • Run from source directly
    • Run Different tasks

Guides

  • How to optimize building validation decision thresholds?
    • Requirements
    • Running thresholds optimization
  • Developer’s guide
    • Code versionning
    • Tests
    • Continuous Integration (CI)
    • Continuous Delivery (CD)

Package Reference

  • lidar_prod.run
    • POSSIBLE_TASK
    • main()
  • lidar_prod.tasks
    • building_validation
    • building_validation_optimization
    • building_completion
    • building_identification
    • cleaning
    • utils
  • lidar_prod.commons
    • lidar_prod.commons.commons module
  • Default configuration
lidar_prod
  • Overview: module code

All modules for which code is available

  • lidar_prod.commons.commons
  • lidar_prod.run
  • lidar_prod.tasks.building_completion
  • lidar_prod.tasks.building_identification
  • lidar_prod.tasks.building_validation
  • lidar_prod.tasks.building_validation_optimization
  • lidar_prod.tasks.cleaning
  • lidar_prod.tasks.utils

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