PotreeConverter Documentation

repository·develop·Indexed 21 days ago

https://github.com/potree/potreeconverter

PotreeConverter is a tool that generates octree Level of Detail (LOD) structures from massive point clouds to enable real-time streaming and rendering in web browsers via Potree or desktop applications. Version 2.0 features high-performance streaming, improved speed on SSDs, and reduced file system overhead. The tool supports Poisson-disk and random sampling strategies via a CLI.

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What's inside PotreeConverter

  1. Overview of GeoPackage JS

    develop

    GeoPackage JS is a JavaScript implementation of the OGC GeoPackage specification. It allows for reading GeoPackage files in both browser and Node.js environments.

    Environment-specific implementations:

    • Browser: Uses sql.js for reading GeoPackages and HTML5 Canvas for rendering tiles.
    • Node.js: Uses node-sqlite3 for reading GeoPackages and PureImage for rendering tiles.
  2. Overview of PotreeConverter 2.0 features

    develop

    PotreeConverter 2.0 is a complete rewrite designed for high-performance streaming of massive point clouds.

    Key improvements over version 1.7 include:

    • Speed: 10 to 50 times faster on SSDs.
    • File Management: Produces only 3 files total, significantly reducing file system overhead (copying, deleting, uploading) compared to the thousands or millions of files produced by version 1.7.
    • Attribute Support: Better support for standard LAS attributes and arbitrary extra attributes (full support for int64 and uint64 is in development).
    • Compatibility: The format produced by 2.0 is supported by Potree 1.7.
  3. Overview of jsTree

    develop

    jsTree is an open-source jQuery plugin used to create interactive trees. It is highly configurable, themeable, and extendable. Key features include:

    • Data Sources: Supports HTML, JSON, AJAX, and asynchronous callback loading.
    • Interactivity: Supports drag & drop, keyboard navigation, inline editing (create/delete), and tri-state checkboxes.
    • Search: Includes fuzzy searching capabilities.
    • Customization: Supports customizable node types and responsive mobile themes.
    • Integration: Uses jQuery's event system for familiar callback binding and can be loaded as an AMD module.
  4. Retrieve and render tiles from a GeoPackage

    develop

    Once a GeoPackage instance is connected, you can access tile tables. Use getTileTables to list tables and getTileDaoWithTableName to get a Data Access Object (DAO) for a specific table. With the DAO, you can use GeoPackageTileRetriever to draw tiles directly onto an HTML5 Canvas or retrieve them as Base64 data URLs.

    // get the tile table names
    geopackage.getTileTables(function(err, tileTableNames) {
      // get the info for the first table
      geoPackage.getTileDaoWithTableName(tileTableNames[0], function(err, tileDao) {
        // draw a tile into a canvas for an XYZ tile
        var canvas = canvasFromSomewhere;
        var gpr = new GeoPackageTileRetriever(tileDao, 256, 256);
        var x = 0;
        var y = 0;
        var zoom = 0;
    
        gpr.drawTileIn(x, y, zoom, canvas, function() {
          console.log('Tile drawn');
        });
    
        // or get a tile base64 data URL for an XYZ tile
        gpr.getTile(x, y, zoom, function(err, tileBase64DataURL) {
          console.log('got the base64 data url');
        });
      });
    });
  5. How TweenJS handles the Ticker mechanism

    develop

    By default, TweenJS uses the Ticker class from EaselJS to drive animations. This directory includes a minified version of EaselJS specifically to provide this Ticker class.

    If you want to avoid including the full EaselJS library, you have two options:

    1. Implement a custom ticking mechanism: Provide your own logic to drive the TweenJS updates.
    2. Use only the Ticker class: Download the standalone Ticker class from the official EaselJS GitHub repository.
  6. Query features from a GeoPackage

    develop

    To access vector data, use getFeatureTables to find available feature tables and getFeatureDaoWithTableName to obtain a feature DAO. You can then iterate through features using featureDao.queryForEach. For each row, you can retrieve the geometry and convert it to GeoJSON using geometry.toGeoJSON().

    // get the feature table names
    geopackage.getFeatureTables(function(err, featureTableNames) {
      // get the info for the first table
      geoPackage.getFeatureDaoWithTableName(featureTableNames[0], function(err, featureDao) {
        // query for all features
        featureDao.queryForEach(function(err, row, rowDone) {
          var feature = featureDao.getFeatureRow(row);
          var geometry = currentRow.getGeometry();
          if (geometry) {
            var geom = geometry.geometry;
            var geoJson = geometry.geometry.toGeoJSON();
            // ... process geoJson
          }
          rowDone();
        });
      });
    });
  7. JSON5 Syntax Features

    develop

    JSON5 is a superset of JSON that adds several ECMAScript 5.1 features to make it more human-readable:

    • Objects: Keys can be unquoted identifiers; trailing commas are allowed.
    • Arrays: Trailing commas are allowed.
    • Strings: Supports single quotes, multi-line strings (via escaping newlines), and character escapes.
    • Numbers: Supports hexadecimal (0x...), leading/trailing decimal points (.867, 867.), positive/negative infinity, NaN, and explicit plus signs (+1).
    • Comments: Supports both single-line (//) and multi-line (/* ... */) comments.
    • White Space: Allows additional white space characters.
    {
      // comments
      unquoted: 'and you can quote me on that',
      singleQuotes: 'I can use "double quotes" here',
      lineBreaks: "Look, Mom! \\nNo \\n's!",
      hexadecimal: 0xdecaf,
      leadingDecimalPoint: .8675309, 
      andTrailing: 8675309.,
      positiveSign: +1,
      trailingComma: 'in objects', 
      andIn: ['arrays',],
      "backwardsCompatible": "with JSON",
    }
  8. Getting Started with jsTree

    develop

    To use jsTree, you must first include all necessary files (jQuery and the jsTree library) in your project. Once included, you can populate the tree using several methods:

    • HTML: Populating a tree directly from existing HTML structures.
    • JSON/Array: Providing a structured array or JSON object.
    • AJAX: Fetching tree data from a server.
    • AJAX with Lazy Loading: Loading nodes on demand to improve performance with large datasets.
    • Callback Function: Using a custom function to define how nodes are loaded.
  9. Build Spectrum Locally

    develop

    To run the development version, you must have Grunt installed. After cloning the repository, follow these steps:

    1. Install the Grunt CLI globally: npm install -g grunt-cli
    2. Install project dependencies: npm install
    3. Run tests and linting: grunt
    4. Run tests, linting, and build a minified version: grunt build
    npm install -g grunt-cli
    npm install
    
    # runs jshint and the unit test suite
    grant
    
    # runs jshint, the unit test suite, and builds a minified version of the file.
    grant build
  10. Compress or decompress files with brotli

    develop

    The brotli command-line tool provides lossless compression and decompression. It operates in three modes:

    1. Compression (Default): Compresses files by appending a suffix (default .br) to the filename.
    2. Decompression: Activated via --decompress or -d. It removes the suffix from the filename to create the target file. The command unbrotli is a shortcut for brotli --decompress.
    3. Integrity Test: Activated via --test or -t. This mode decompresses the data to check for errors but discards the output instead of writing it to stdout.

    By default, source files are preserved. Use --rm or -j to remove source files after processing.

    # Compress a file
    brotli input.txt
    
    # Decompress a file
    brotli --decompress input.txt.br
    # OR
    unbrotli input.txt.br
    
    # Test file integrity
    brotli --test input.txt.br