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	Fix enumeration in readme
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		| @@ -14,10 +14,10 @@ This software implements a heavily parallelized pipeline to recognize text in PD | |||||||
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| 1. Install Docker and Python 3. | 1. Install Docker and Python 3. | ||||||
| 2. Clone this repository: `git clone https://gitlab.ub.uni-bielefeld.de/sfb1288inf/ocr.git` | 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:v0.1.0 ocr` | 3. 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 `${PATH}`. | 4. Add the wrapper script (`wrapper/ocr` relative to this README file) to your `${PATH}`. | ||||||
| 3. Create working directories for the pipeline: `mkdir -p /<my_data_location>/{input,models,output}`. | 5. 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. Place your Tesseract OCR model(s) inside `/<my_data_location>/models`. | ||||||
|  |  | ||||||
| ## Use the Pipeline | ## Use the Pipeline | ||||||
|  |  | ||||||
|   | |||||||
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