Python Imaging Library Mac Install
- Python Imaging Library Mac Install Software
 - Python Imaging Library
 - Psycho Specializing Compiler
 - Python Imaging Library Python 3
 - Numpy Download
 
Released:
Python Imaging Library/Getting PIL. From Wikibooks, open books for an open world Python Imaging Library. Sudo apt-get install python-imaging In Gentoo: emerge imaging Mac OS X. To install on a Mac.
- Sudo apt-get install python-imaging now installs Pillow not PIL. As for selftest.py, you may need to check out the source to run it. And of course, you need to install the dependencies if you want PIL to support them e.g. Sudo apt-get install libjpeg libjpeg-dev libfreetype6 libfreetype6-dev zlib1g-dev.
 - In addition to Python 3, Homebrew will install PIP, setup tools, and a wheel. These are all libraries and packages for Python. Pip assists Homebrew and Python package management.
 
Python-tesseract is a python wrapper for Google's Tesseract-OCR
Project description
Python Imaging Library Mac Install Software
Python-tesseract is an optical character recognition (OCR) tool for python.That is, it will recognize and “read” the text embedded in images.
Python-tesseract is a wrapper for Google’s Tesseract-OCR Engine.It is also useful as a stand-alone invocation script to tesseract, as it can read all image typessupported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff,and others. Additionally, if used as a script, Python-tesseract will print the recognizedtext instead of writing it to a file.
USAGE
Quickstart
Note: Test images are located in the tests/data folder of the Git repo.
Library usage:
Support for OpenCV image/NumPy array objects
If you need custom configuration like oem/psm, use the config keyword.
Add the following config, if you have tessdata error like: “Error opening data file…”
Python Imaging Library
Functions
- get_tesseract_version Returns the Tesseract version installed in the system.
 - image_to_string Returns the result of a Tesseract OCR run on the image to string
 - image_to_boxes Returns result containing recognized characters and their box boundaries
 - image_to_data Returns result containing box boundaries, confidences, and other information. Requires Tesseract 3.05+. For more information, please check the Tesseract TSV documentation
 - image_to_osd Returns result containing information about orientation and script detection.
 - run_and_get_output Returns the raw output from Tesseract OCR. Gives a bit more control over the parameters that are sent to tesseract.
 
Parameters
image_to_data(image, lang=None, config=', nice=0, output_type=Output.STRING, timeout=0, pandas_config=None)
- image Object or String - PIL Image/NumPy array or file path of the image to be processed by Tesseract. If you pass object instead of file path, pytesseract will implicitly convert the image to RGB mode.
 - lang String - Tesseract language code string. Defaults to eng if not specified! Example for multiple languages: lang='eng+fra'
 - config String - Any additional custom configuration flags that are not available via the pytesseract function. For example: config='--psm 6'
 - nice Integer - modifies the processor priority for the Tesseract run. Not supported on Windows. Nice adjusts the niceness of unix-like processes.
 - output_type Class attribute - specifies the type of the output, defaults to string. For the full list of all supported types, please check the definition of pytesseract.Output class.
 - timeout Integer or Float - duration in seconds for the OCR processing, after which, pytesseract will terminate and raise RuntimeError.
 - pandas_config Dict - only for the Output.DATAFRAME type. Dictionary with custom arguments for pandas.read_csv. Allows you to customize the output of image_to_data.
 
CLI usage:
INSTALLATION
Prerequisites:
Python-tesseract requires Python 2.7 or Python 3.5+
You will need the Python Imaging Library (PIL) (or the Pillow fork).Under Debian/Ubuntu, this is the package python-imaging or python3-imaging.
Install Google Tesseract OCR(additional info how to install the engine on Linux, Mac OSX and Windows).You must be able to invoke the tesseract command as tesseract. If thisisn’t the case, for example because tesseract isn’t in your PATH, you willhave to change the “tesseract_cmd” variable pytesseract.pytesseract.tesseract_cmd.Under Debian/Ubuntu you can use the package tesseract-ocr.For Mac OS users. please install homebrew package tesseract.
Note: Make sure that you also have installed tessconfigs and configs from tesseract-ocr/tessconfigs or via the OS package manager.
Check the pytesseract package page for more information.
TESTING
To run this project’s test suite, install and run tox. Ensure that you have tesseractinstalled and in your PATH.
LICENSE
Check the LICENSE file included in the Python-tesseract repository/distribution.As of Python-tesseract 0.3.1 the license is Apache License Version 2.0
CONTRIBUTORS
- Originally written by Samuel Hoffstaetter
 
Release historyRelease notifications
0.3.3
Set java library path. 0.3.2
0.3.1
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0.2.9
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0.2.4
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0.1
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