Add liblas and pymcc_lidar

recipes/liblas/build.sh

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+#!/bin/bash
+
+# Compile C library
+mkdir build
+cd build
+
+cmake -G "Unix Makefiles" \
+  -DBoost_NO_BOOST_CMAKE=ON \
+  -DCMAKE_BUILD_TYPE=Release \
+  -DCMAKE_INSTALL_PREFIX=$PREFIX \
+  -DCMAKE_PREFIX_PATH=$PREFIX \
+  -DBoost_USE_STATIC_LIBS=no \
+  ..
+
+make -j${CPU_COUNT}
+make install
+
+# Install Python bindings
+cd ../python
+$PYTHON setup.py --quiet install --single-version-externally-managed --record=record.txt

recipes/liblas/meta.yaml

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+{% set name = "libLAS" %}
+{% set version = "1.8.1" %}
+
+package:
+  name: "{{ name|lower }}"
+  version: "{{ version }}"
+
+source:
+  url: https://github.com/libLAS/libLAS/archive/{{ version }}.tar.gz
+  sha256: 31cff4fd235f9397df8c3086b0aefc50a047d2be0e9ce39f0cddfc662633fa93
+
+build:
+  skip: True  # [win]
+  number: 0
+
+requirements:
+  build:
+    - {{ compiler ('c') }}
+    - {{ compiler ('cxx') }}
+    - cmake
+    - make
+  host:
+    - python
+    - pip
+    - setuptools
+    - boost-cpp
+    - geotiff
+    - libgdal
+    - proj4
+  run:
+    - python
+    - boost-cpp
+    - geotiff
+    - libgdal
+    - proj4
+
+test:
+  imports:
+    - liblas
+
+about:
+  home: http://liblas.org
+  license: BSD
+  license_family: BSD
+  license_file: LICENSE.txt
+  summary: Library for reading and writing the very common LAS LiDAR format.
+  description: |
+    libLAS is a C/C++ library for reading and writing the very common LAS LiDAR
+    format (LAS 1.0/1.1/1.2 ASPRS). The ASPRS LAS format is a sequential binary
+    format used to store data from LiDAR sensors and by LiDAR processing
+    software for data interchange and archival. As of 2018, libLAS has been
+    replaced by the PDAL project and it is in hibernation or maintenance mode.
+    libLAS does not provide support for LAS or LAZ 1.4, which PDAL does.
+  dev_url: https://github.com/libLAS/libLAS
+  doc_url: https://liblas.org/docs.html
+
+extra:
+  recipe-maintainers:
+    - hobu
+    - rmsare

recipes/pymcc_lidar/build.sh

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+#!/bin/bash
+
+export PYTHON_EXECUTABLE=$CONDA_PYTHON_EXE
+
+$PYTHON setup.py --quiet install --single-version-externally-managed --record=record.txt

recipes/pymcc_lidar/meta.yaml

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+{% set name = "pymcc_lidar" %}
+{% set version = "1.3" %}
+
+package:
+  name: "{{ name|lower }}"
+  version: "{{ version }}"
+
+source:
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
+  sha256: 50553515bdfbb9203e260bade29ac4d7bf7e690ed5d873ccd6be7c2f5530025b
+
+build:
+  number: 0
+  skip: True  # [not linux]
+
+requirements:
+  build:
+    - {{ compiler('c') }}
+    - {{ compiler('cxx') }}
+    - cmake
+    - cython
+    - liblas
+  host:
+    - python
+    - pip
+    - cython
+    - liblas
+    - numpy >=1.14.6
+  run:
+    - python
+    - liblas
+    - numpy >=1.14.6
+
+test:
+  imports:
+    - pymcc_lidar
+
+about:
+  home: https://github.com/stgl/pymcc
+  license: MIT
+  license_family: MIT
+  license_file: LICENSE.txt 
+  summary: A Python package for point cloud classification using relative height
+  doc_url: https://github.com/stgl/pymcc
+  dev_url: https://github.com/stgl/pymcc
+
+extra:
+  recipe-maintainers:
+    - rmsare
+    - gehilley

recipes/pymccrgb/build.sh

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+#!/bin/bash
+
+$PYTHON setup.py --quiet install --single-version-externally-managed --record=record.txt

recipes/pymccrgb/meta.yaml

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+{% set name = "pymccrgb" %}
+{% set version = "0.1.7" %}
+
+package:
+  name: "{{ name|lower }}"
+  version: "{{ version }}"
+
+source:
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
+  sha256: 378f2207f8f8ccfb1ff3a93c702f34f6254e62ebdfa287b86bf4ead471a0a653
+
+build:
+  number: 0
+  skip: True  # [not linux]
+
+requirements:
+  host:
+    - python
+    - pip
+    - matplotlib
+    - numpy >=1.14.6
+    - pdal
+    - python-pdal
+    - pymcc_lidar
+    - scikit-image
+    - scikit-learn
+    - scipy
+  run:
+    - python
+    - matplotlib
+    - numpy >=1.14.6
+    - pdal
+    - python-pdal
+    - pymcc_lidar
+    - scikit-image
+    - scikit-learn
+    - scipy
+
+test:
+  imports:
+    - pymccrgb
+
+about:
+  home: https://github.com/rmsare/pymccrgb
+  license: MIT
+  license_family: MIT
+  license_file: LICENSE 
+  summary: A Python package for point cloud classification using color and curvature
+  doc_url: https://pymccrgb.readthedocs.io 
+  dev_url: https://github.com/rmsare/pymccrgb
+
+extra:
+  recipe-maintainers:
+    - rmsare