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@ -38,21 +38,21 @@ eynollah -i <image file name> -o <directory to write output> -m <directory of mo
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The following options can be used to further configure the processing:
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The following options can be used to further configure the processing:
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```sh
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```
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-fl: perform full layout analysis including detection of marginalia and drop capitals
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-fl perform full layout analysis including detection of marginalia and drop capitals
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-ae: allow resizing and enhancing the input image, a rescaled and enhanced image is saved to the output directory
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-tab try to detect tables
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-as: allow scaling - check whether the input image needs rescaling or not
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-light apply a faster but simpler method for main region detection and deskewing
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-cl: extract contours of curved textlines instead of rectangle bounding boxes
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-ae allow resizing and enhancing the input image, the enhanced image is saved to the output directory
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-si <directory>: save image regions detected in documents to this directory
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-as allow scaling - automatically check whether the input image needs scaling or not
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-sd <directory>: save deskewed image to this directory
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-ib allow binarization of the input image
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-sa <directory>: save plot of layout detection to this directory
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-ho ignore headers for reading order prediction
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-tab: try to detect tables
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-cl extract contours of curved textlines instead of rectangle bounding boxes
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-ib: allow binarization of the input image
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-ep enables plotting. This MUST always be used with `-sl`, `-sd`, `-sa`, `-si` or `-ae` options
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-ho: ignore headers in reading order detection
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-di <directory> process all images in a directory in batch mode
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-sl <directory>: save plots of layout detection to this directory
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-si <directory> save image regions detected in documents to this directory
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-ep: save a plot. This should be used alongside with `-sl`, `-sd`, `-sa`, `-si` or `-ae` options
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-sd <directory> save deskewed image to this directory
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-light: apply a faster but simpler method for main region detection and deskewing
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-sl <directory> save layout prediction as plot to this directory
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-di <directory>: process all images in a directory in batch mode
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-sa <directory> save all outputs (plot, enhanced or binary image and layout prediction) to this directory
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```
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```
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The tool performs better with RGB images as input than with greyscale or binarized images.
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The tool performs better with RGB images as input than with greyscale or binarized images.
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