From 5ca857018b9e4f4cc0dd64c60d17254da091e6c7 Mon Sep 17 00:00:00 2001 From: Clemens Neudecker <952378+cneud@users.noreply.github.com> Date: Wed, 14 Sep 2022 15:26:36 +0200 Subject: [PATCH] Update README.md --- README.md | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/README.md b/README.md index 9374962..e307624 100644 --- a/README.md +++ b/README.md @@ -38,21 +38,21 @@ eynollah -i -o -m : save image regions detected in documents to this directory --sd : save deskewed image to this directory --sa : save plot of layout detection to this directory --tab: try to detect tables --ib: allow binarization of the input image --ho: ignore headers in reading order detection --sl : save plots of layout detection to this directory --ep: save a plot. This should be used alongside with `-sl`, `-sd`, `-sa`, `-si` or `-ae` options --light: apply a faster but simpler method for main region detection and deskewing --di : process all images in a directory in batch mode +``` +-fl perform full layout analysis including detection of marginalia and drop capitals +-tab try to detect tables +-light apply a faster but simpler method for main region detection and deskewing +-ae allow resizing and enhancing the input image, the enhanced image is saved to the output directory +-as allow scaling - automatically check whether the input image needs scaling or not +-ib allow binarization of the input image +-ho ignore headers for reading order prediction +-cl extract contours of curved textlines instead of rectangle bounding boxes +-ep enables plotting. This MUST always be used with `-sl`, `-sd`, `-sa`, `-si` or `-ae` options +-di process all images in a directory in batch mode +-si save image regions detected in documents to this directory +-sd save deskewed image to this directory +-sl save layout prediction as plot to this directory +-sa save all outputs (plot, enhanced or binary image and layout prediction) to this directory ``` The tool performs better with RGB images as input than with greyscale or binarized images.