GitHub repository: eEcoLiDAR/laserchicken

v0.6.1: tag_name: v0.6.1
body: See [CHANGELOG](https://github.com/eEcoLiDAR/laserchicken/blob/v0.6.1/CHANGELOG.md)
v0.6.0: tag_name: v0.6.0
body: see [CHANGELOG](./CHANGELOG.md)
v0.5.0: tag_name: v0.5.0
body: LAS/LAZ files are now read/written using laspy instead of the (deprecated) plyas package - for all fixes check CHAGELOG.md
v0.4.2: tag_name: v0.4.2
body: This release includes:
* an improvement in the performance of spatial filtering;
* some changes in how multipolygons are dealt with in spatial filtering;
* a bug fix in the `copy_point_cloud` function.

v0.4.1: tag_name: v0.4.1
body: This release introduces two minor improvements to the filter module and fixes a bug in the log-parsing in the PLY reader. 
v0.4.0: tag_name: v0.4.0
body: This releases introduces several improvements and functionalities, among which:
 - a simplified structure for the computed neighborhood list;
 - additional IO tools, which make laserchicken able to read and write LAZ and binary PLY files;
 - utility functions to merge point clouds, update point-cloud features and classify points on the basis of polygons.

Some refactoring has also been performed to improve the code organization. For the complete list of changes, have a look at the [CHANGELOG](https://github.com/eEcoLiDAR/laserchicken/blob/master/CHANGELOG.md) 
 
v0.3.2: tag_name: v0.3.2
body: This release introduces feature extractors that work on the intensity attribute of points. Many feature extractors have been restructured and are now parameterized meaning that they can do their computation on an arbitrary input attribute. Because of this restructuring, and for consistency purposes, many features have been renamed. See the CHANGELOG for a list of these.
v0.3.1: tag_name: v0.3.1
body: This release has much-improved documentation, added feature extractors with the support of parameterized feature extractors and miscellaneous bugfixes.
v0.3.0: tag_name: v0.3.0
body: Normalization functionality and faster feature calculations.
v0.2.0: tag_name: 0.2.0
body: New cell and cube (or voxel) volumes added. Available volumes types are now:
- Infinite cylinder
- Sphere
- Cell
- Cube

Read me now comes with description of test procedure for all features.
laserchicken v0.1.1: tag_name: 0.1.1
body: Added tests and many bug fixes. 
These are mostly fixes for corner cases in feature extractors. For instance some feature extractor used to crash when they were processing a point cloud with zero points. This has been solved for every feature extractor.
laserchicken v0.1.0: tag_name: 0.1.0
body: Toolkit for handling point clouds created using airborne laser scanning (ALS). Find neighboring points in your point cloud and describe them as feature values. Included features:

    point_density
    echo_ratio
    eigenv_1
    eigenv_2
    eigenv_3
    z_entropy
    max_z
    min_z
    mean_z
    median_z
    std_z
    var_z
    range
    coeff_var_z
    skew_z
    kurto_z
    normal_vector_1
    normal_vector_2
    normal_vector_3
    slope
    perc_10
    perc_20
    perc_30
    perc_40
    perc_50
    perc_60
    perc_70
    perc_80
    perc_90
    perc_100
    pulse_penetration_ratio
    density_absolute_mean
    sigma_z