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Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions. Such annotations can for instance be used to train machine learning algorithms for computer vision applications. This is a list of computer software which can be used for manual annotation of images.
Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.
p5 is a Python library that provides high level drawing functionality to help you quickly create simulations and interactive art using Python. It combines the core ideas of Processing — learning to code in a visual context — with Python's readability to make programming more accessible to beginners, educators, and artists. [15]
Create a test map in your sandbox. You'll need to use {} together with the Wikidata ID of the shape. As an example: {{maplink|frame=yes|type=shape|id=Q160236}} If it displays, great. You can use the map and add parameters to make it display to your liking. If the map data does not populate, the below methods are straight-forward and reliable:
IPython (Interactive Python) is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers introspection, rich media, shell syntax, tab completion, and history. IPython provides the following features: Interactive shells (terminal and Qt-based).
Select the text and line and apply the command: Text -> Put on Path. Afterwards remove the curved line and convert the text to path (Path -> Object to Path or Shift+Ctrl+C). For better Wikimedia rendering convert all text added in Inkscape to paths. Add the map title in a box in the upper part of the map. Resizing document. 28.
After a few seconds, a window with the interactive graphical output should pop up, and the SVG will also be in the folder. Numerous examples with Python source code are available, for example the Matplotlib gallery and commons:Category:Valid SVG created with Matplotlib code.