Demo processor to illustrate OCR-D Python API

Overview

ocrd_vandalize/

Demo processor to illustrate the OCR-D/core Python API

Description

:TODO: write docs :)

Installation

From PyPI

pip3 install ocrd_vandalize

From source

Clone the repository and cd into it:

git clone https://github.com/OCR-D/ocrd_vandalize
cd ocrd_vandalize

If needed, create a virtual environment for Python 3 successfully with Python 3.7), activate it, and install ocrd_vandalize.

python3 -m venv $HOME/venv-ocrd
source $HOME/venv-ocrd/bin/activate
make install

TODO

  • Continuous integration

License

Copyright 2021 Project OCR-D

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Owner
Konstantin Baierer
Ⓐ ಥ_ಥ (╯°□°)╯︵ ┻━┻ ★。・:*¯\_(ツ)_/¯*:・゚★
Konstantin Baierer
A buffered and threaded wrapper for the OpenCV VideoCapture object. Can speed up video decoding significantly. Supports

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