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@@ -63,26 +63,26 @@ There are more examples of the Pillow library in the
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OpenSource Computer Vision
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OpenSource Computer Vision, or OpenCV in short, is a more advanced and useful
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image manipulation and processing software than PIL. It has been implemented in several
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languages and is very widely used.
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OpenSource Computer Vision, more commonly known as OpenCV, is a more advanced image manipulation and processing software than PIL. It has been implemented in several
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languages and is widely used.
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Installation
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~~~~~~~~~~~~~
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~~~~~~~~~~~~
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In Python, image processing using OpenCV is implemented using the **cv2** and **NumPy** modules.
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Check the installation instructions for OpenCV `here <https://help.ubuntu.com/community/OpenCV>`_.
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In Python, image processing using OpenCV is implemented using the ``cv2`` and ``NumPy`` modules.
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The `installation instructions for OpenCV <http://docs.opencv.org/2.4/doc/tutorials/introduction/table_of_content_introduction/table_of_content_introduction.html#table-of-content-introduction>`_ should guide you through configuring the project for yourself.
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NumPy can be easily downloaded from the Python Package Index(PyPI):
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NumPy can be downloaded from the Python Package Index(PyPI):
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.. code-block:: console
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$ pip install numpy
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Example
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~~~~~~~~
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~~~~~~~
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.. code-block:: python
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#Saving filtered image to new file
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cv2.imwrite('graytest.jpg',gray)
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There are more examples of OpenCV in the documentation
There are more Python-implemented examples of OpenCV in this `collection of tutorials <http://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_tutorials.html>`_.
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