diff --git a/CMakeLists.txt b/CMakeLists.txt index 3fc8aeb..6ebbff7 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -6,7 +6,7 @@ cmake_minimum_required(VERSION 3.12) project(pico_tree LANGUAGES CXX - VERSION 0.7.1 + VERSION 0.7.2 DESCRIPTION "PicoTree is a C++ header only library with Python bindings for nearest neighbor searches and range searches using a KdTree." HOMEPAGE_URL "https://github.com/Jaybro/pico_tree") diff --git a/README.md b/README.md index cf60ee6..d7715d7 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,7 @@ See the table below to get an impression of the performance provided by the [KdT | [SciPy cKDTree][spck] v1.5.0 | ... | 5.0s | ... | 547.2s | | [Scikit-learn KDTree][skck] 0.22.2 | ... | 12.2s | ... | 44.5s | | [OpenCV FLANN][cvfn] 4.5.2 | 1.9s | ... | 4.7s | ... | -| PicoTree KdTree master | 0.8s | 1.0s | 3.0s | 3.9s | +| PicoTree KdTree v0.7.2 | 0.8s | 1.0s | 3.0s | 3.9s | It compares the performance of the build and query algorithms using two [LiDAR](./docs/benchmark.md) based point clouds of sizes 7733372 and 7200863. The first is used to compare build times and both to compare query times. All benchmarks used the following parameters: `max_leaf_size=10`, `knn=1` for queries and `OMP_NUM_THREADS=1`. Note that a different C++ back-end was used for each of the `Knn C++` and `Knn Python` benchmarks. This means that they shouldn't be compared directly. See the [Python comparison](./examples/python/kd_tree.py) for more details. A more detailed [C++ comparison](./docs/benchmark.md) of PicoTree is available with respect to [nanoflann][nano]. diff --git a/setup.py b/setup.py index d370268..598d098 100644 --- a/setup.py +++ b/setup.py @@ -34,7 +34,7 @@ def compile_cmake_args(): setup(name='pico_tree', # The same as the CMake project version. - version='0.7.1', + version='0.7.2', description='PicoTree Python Bindings', author='Jonathan Broere', url='https://github.com/Jaybro/pico_tree',