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fix image tag
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@ -14,7 +14,7 @@ This software implements a heavily parallelized pipeline to recognize text in PD
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1. Install Docker and Python 3.
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2. Clone this repository: `git clone https://gitlab.ub.uni-bielefeld.de/sfb1288inf/ocr.git`
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2. Build the Docker image: `docker build -t gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:0.1.0 ocr`
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2. Build the Docker image: `docker build -t gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:v0.1.0 ocr`
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2. Add the wrapper script (`wrapper/ocr` relative to this README file) to your `${PATH}`.
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3. Create working directories for the pipeline: `mkdir -p /<my_data_location>/{input,models,output}`.
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4. Place your Tesseract OCR model(s) inside `/<my_data_location>/models`.
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@ -6,7 +6,7 @@ import os
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import subprocess
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import sys
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CONTAINER_IMAGE = 'gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:0.1.0'
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CONTAINER_IMAGE = 'gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/ocr:v0.1.0'
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CONTAINER_INPUT_DIR = '/input'
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CONTAINER_OUTPUT_DIR = '/output'
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CONTAINER_MODELS_DIR = '/usr/local/share/tessdata'
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