From 7c79777c922a4ab76a25c86a78c244f374c7b66e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Maciej=20Budy=C5=9B?= Date: Thu, 20 Jan 2022 22:10:02 +0100 Subject: [PATCH] update readme --- README.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 88a3eaf..4b6a292 100644 --- a/README.md +++ b/README.md @@ -72,6 +72,10 @@ https://user-images.githubusercontent.com/22717958/150238361-052b95d1-0152-485f- ```commandline manga_ocr "/path/to/sharex/screenshot/folder" ``` + +When running for the first time, downloading the model (~400 MB) might take a few minutes. +The OCR is ready to use after `OCR ready` message appears in the logs. + - To see other options, run in command line: ```commandline manga_ocr --help @@ -80,6 +84,7 @@ https://user-images.githubusercontent.com/22717958/150238361-052b95d1-0152-485f- If `manga_ocr` doesn't work, you might also try replacing it with `python -m manga_ocr`. ## Usage tips + - OCR supports multi-line text, but the longer the text, the more likely some errors are to occur. If the recognition failed for some part of a longer text, you might try to run it on a smaller portion of the image. - The model was trained specifically to handle manga well, but should do a decent job on other types of printed text, @@ -109,8 +114,6 @@ Here are some cherry-picked examples showing the capability of the model. | ![](examples/11.jpg) | 警察にも先生にも町中の人達に！！ | - - # Acknowledgments This project was done with the usage of [Manga109-s](http://www.manga109.org/en/download_s.html) dataset.