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  • Pix4Dengine Quick-Start
    • Prerequisites
      • Installation requirements
        • A working Python 3.6 or 3.7 environment
        • A working installation of Pix4Dmapper
    • Installation
    • Basic usage of the Pix4Dengine Python SDK
  • Examples
    • Processing scenarios using high-level functions
      • Setup
      • Creating or opening a project
      • A minimal processing workflow
      • Processing flow control
      • Create a project using a processing template
      • Setting algorithmic or export options
      • Using a CSV file to geolocate the project images
      • Defining custom callbacks
      • Using a processing area
      • Adding Ground Control Points (GCPs) with image marks
      • Finding the output files
        • Expected output location
        • Available output files
      • Accessing the processing quality reports
      • Accessing or changing the project coordinate systems
    • Processing using pipelines
      • Basic pipeline usage
      • Configuring pipeline tasks
      • Setting callbacks
      • Adding a user-defined processing area
      • Adding GCPs with image marks
  • Advanced usage
    • pix4dmapper outside of the local environment
      • Introduction
      • Processing within a Docker image
    • Project validation during processing
  • API Documentation
    • Processing
      • Interface to the processing executable
      • Functions supporting the most common operations
      • Interface to a project
    • Input and output
      • Processing constants
      • Processing options
      • Finding output files
      • Quality report
    • Utilities
      • Settings
      • Task system
      • GCP and mark definition
      • Processing area
      • Coordinate system constants
      • Coordinate systems
      • Project tools
      • Exceptions
  • Release notes
    • Version 0.1.0
      • Features
      • Known issues
      • Remarks
Pix4Dengine
  • Pix4Dengine /
  • Version 0.1.0 /
  • November 2018

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