{"repo":"dataware-tools/pydtk","free":true,"listed":false,"github":"https://github.com/dataware-tools/pydtk","clone":"git clone https://github.com/dataware-tools/pydtk.git","description":"A Python toolkit for managing, retrieving and processing data.","language":"Python","stars":14,"topics":["python3","toolkit","data","database","machine-learning","preprocessing"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"Python Dataware Toolkit A Python toolkit for managing, retrieving, and processing data. Installation You can install the toolkit with: If you want to install the toolkit with extra feature (e.g. support for PointCloud and ROS), you can install it with extra dependencies as follows: Some PyDTK models require additional packages. Please refer the following table and install them manually with command pip install ... . PyDTK model Required packages --- --- rosbag. ros numpy (https://github.com/eric-wieser/ros numpy.git) pointcloud.PCDModel pypcd (https://github.com/klintan/pypcd.git) Usage By using Pydtk, you can load a variety of types of data with a unified interface as shown below. 1. Load DBHandler for retrieving metadata 2. Read metadata from db with data selection. 3. Load data from files based on metadata. Documentation For more information about this toolkit, please refer the document. Setup for contribution To improve this toolkit, firstly clone this repository and then run the following command to prepare the environment. Make sure that poetry is installed before executing the command. If you want to install the toolkit with extra feature (e.g. support for ROS), please specify it with -E option. Example (installation with pointcloud and ros extras):","default_branch":null,"files":null,"tree":[],"storefront":"/r/dataware-tools","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/dataware-tools/pydtk/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}