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