https://github.com/visr/lasio.jl

Julia package for reading and writing the LAS lidar format.
https://github.com/visr/lasio.jl

io julia las laz lidar point-cloud

Last synced: 8 days ago
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Julia package for reading and writing the LAS lidar format.

• Host: GitHub
• URL: https://github.com/visr/lasio.jl
• Owner: visr
• License: other
• Created: 2016-05-24T05:12:00.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2021-04-27T18:01:58.000Z (over 3 years ago)
• Last Synced: 2024-10-13T23:32:07.563Z (23 days ago)
• Topics: io, julia, las, laz, lidar, point-cloud
• Language: Julia
• Size: 6.12 MB
• Stars: 22
• Watchers: 4
• Forks: 13
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE.md

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README

        
# LasIO

[![CI](https://github.com/visr/LasIO.jl/actions/workflows/CI.yml/badge.svg?branch=master)](https://github.com/visr/LasIO.jl/actions/workflows/CI.yml)

Julia package for reading and writing the LAS lidar format.

This is a pure Julia package for reading and writing ASPRS `.las` files. Currently only LAS versions 1.1 - 1.3 and point formats 0 - 3 are supported. For LAZ support see below.

If the file fits into memory, it can be loaded using

```julia

using FileIO, LasIO

header, points = load("test.las")

```

where `header` is of type `LasHeader`, and, if it is point format 3, `points` is a `Vector{LasPoint3}`. `LasPoint3` is an immutable that directly corresponds to the binary data in the LAS file. Use functions like `xcoord(p::LasPoint, header::LasHeader)` to take out the desired items in the point.

If the file does not fit into memory, it can be memory mapped using

```julia

using FileIO, LasIO

header, points = load("test.las", mmap=true)

```

where `points` is now a memory mapped `PointVector{LasPoint3}` which behaves in the same way as the `Vector{LasPoint3}`, but reads the points on the fly from disk when indexed, not allocating the complete vector beforehand.

See `test/runtests.jl` for other usages.

## LAZ support

We advise to use [LazIO](https://github.com/evetion/LazIO.jl), which works out of the box and is compatible with LasIO.

The compressed LAZ format is supported by LasIO itself, but requires the user to make sure the `laszip` executable can be found in the PATH. LAZ files are piped through `laszip` to provide reading and writing capability. `laszip` is not distributed with this package. One way to get it is to download `LAStools` from https://rapidlasso.com/. The LAStools ZIP file already contains `laszip.exe` for Windows, for Linux or Mac it needs to be compiled first. When this is done this should work just like with LAS:

```julia

using FileIO, LasIO

header, points = load("test.laz")

```