{ "info": { "author": "Balthazar Rouberol", "author_email": "rouberol.b@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Environment :: Console", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Natural Language :: English", "Operating System :: MacOS :: MacOS X", "Operating System :: POSIX :: Linux", "Operating System :: Unix", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Topic :: Scientific/Engineering :: Image Recognition" ], "description": "TesseractTrainer\n================\nby Balthazar Rouberol - Mor Consulting, rouberol.b@gmail.com\n\nTesseractTrainer is a simple Python API, taking over the tedious process of manually training Tesseract3,\nas described in the wiki page https://code.google.com/p/tesseract-ocr/wiki/TrainingTesseract3.\n\nThe longest part of the training process is checking the box file, generated by tesseract using a reference tif image,\nas explained at https://code.google.com/p/tesseract-ocr/wiki/TrainingTesseract3#Make_Box_Files.\nThis file contains the coordinates of each character detected in the training tif. However, if Tesseract made some mistakes,\nyou have to manually correct the boxfile, allowing Tesseract to \"learn\" from its mistakes.\n\nTesseractTrainer allows you to skip this part, by automatically generating a tif (and the associated boxfile) using a text\nand a font that you specify, thus guaranteeing the total accuracy of the box file.\n\nTesseractTrainer intends to provide both a python API and a bash command line tool.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/BaltoRouberol/TesseractTrainer", "keywords": "tesseract,OCR,optical character recogniton,training", "license": "# FreeBSD license\nCopyright (c) Mor Consulting (MorConsulting.com) by Balthazar Rouberol\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met: \n\n1. Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer. \n2. Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution. \n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND\nANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED\nWARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR\nANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES\n(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;\nLOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND\nON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT\n(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\nThe views and conclusions contained in the software and documentation are those\nof the authors and should not be interpreted as representing official policies, \neither expressed or implied, of the FreeBSD Project.", "maintainer": null, "maintainer_email": null, "name": "TesseractTrainer", "package_url": "https://pypi.org/project/TesseractTrainer/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/TesseractTrainer/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/BaltoRouberol/TesseractTrainer" }, "release_url": "https://pypi.org/project/TesseractTrainer/0.1.1/", "requires_dist": null, "requires_python": null, "summary": "A small framework taking over the manual tesseract training process described in the Tesseract Wiki", "version": "0.1.1" }, "last_serial": 724434, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "3e71a56062acf8ffec460b4634480f18", "sha256": "ba5d709bba7a1b94bd23f51e4b8faaf1bdf00e403eb3c343ef2eeaec7626afd7" }, "downloads": -1, "filename": "TesseractTrainer-0.1.tar.gz", "has_sig": false, "md5_digest": "3e71a56062acf8ffec460b4634480f18", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 9395, "upload_time": "2012-12-25T23:00:41", "url": "https://files.pythonhosted.org/packages/f5/29/ea5098da6e1738c3d117c4da17516c5fbe4956a48f2bbdbc046b04416421/TesseractTrainer-0.1.tar.gz" } ], "0.1.1": [ { "comment_text": "", "digests": { "md5": "53e394f56a034e7eea00b128560c36ab", "sha256": "8ea0e98a67a13913814e7d3e9351e22e1f874993aefd81a9c4034675723ac58c" }, "downloads": -1, "filename": "TesseractTrainer-0.1.1.tar.gz", "has_sig": false, "md5_digest": "53e394f56a034e7eea00b128560c36ab", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 9404, "upload_time": "2013-01-08T18:58:31", "url": "https://files.pythonhosted.org/packages/9f/72/cc8dd14bcfe1ff7599c91b7b1fc4a8773e7c2c895b011461fa6cc0da60c8/TesseractTrainer-0.1.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "53e394f56a034e7eea00b128560c36ab", "sha256": "8ea0e98a67a13913814e7d3e9351e22e1f874993aefd81a9c4034675723ac58c" }, "downloads": -1, "filename": "TesseractTrainer-0.1.1.tar.gz", "has_sig": false, "md5_digest": "53e394f56a034e7eea00b128560c36ab", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 9404, "upload_time": "2013-01-08T18:58:31", "url": "https://files.pythonhosted.org/packages/9f/72/cc8dd14bcfe1ff7599c91b7b1fc4a8773e7c2c895b011461fa6cc0da60c8/TesseractTrainer-0.1.1.tar.gz" } ] }