Pyevolve 0.5. Python Bindings to the Point Cloud Library. This is a small python binding to the pointcloud library.
Currently, the following parts of the API are wrapped (all methods operate on PointXYZ) point types I/O and integration; saving and loading PCD filessegmentationSACsmoothingfiltering The code tries to follow the Point Cloud API, and also provides helper function for interacting with numpy. For example (from tests/test.py) import pclp = pcl.PointCloud()p.from_array(np.array([[1,2,3],[3,4,5]], dtype=np.float32)))seg = self.p.make_segmenter()seg.set_model_type(pcl.SACMODEL_PLANE)seg.set_method_type(pcl.SAC_RANSAC)indices, model = seg.segment() Tutorial. More than a HOWTO, this document is a HOW-DO-I use Python to do my image processing tasks. Image processing means many things to many people, so I will use a couple of examples from my research to illustrate. Introduction. Orange – Data Mining Fruitful & Fun.
Machine learning in Python — scikit-learn v0.11 documentation.
Cameras in python. OpenCASCADE with Python. Thinkpython.pdf (application/pdf-objekt) OpenCV in Python. Pythonxy - Scientific-oriented Python Distribution based on Qt and Spyder.