From d8714684836be7465b729c73a7f3a02c3a439eae Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20Mart=C3=AD?= Date: Mon, 30 Dec 2013 00:11:18 +0100 Subject: [PATCH] Get rid of huge orange.ocr desc. Prepare for higher build. --- metadata/edu.sfsu.cs.orange.ocr.txt | 44 +++++++++++------------------ 1 file changed, 17 insertions(+), 27 deletions(-) diff --git a/metadata/edu.sfsu.cs.orange.ocr.txt b/metadata/edu.sfsu.cs.orange.ocr.txt index 3aff14cbfb..7ff298a586 100644 --- a/metadata/edu.sfsu.cs.orange.ocr.txt +++ b/metadata/edu.sfsu.cs.orange.ocr.txt @@ -13,7 +13,7 @@ It is possible to long-press the result to copy it, so that it can be pasted into a browser or a dictionary. Experimental app for optical character recognition (OCR). -Runs the Tesseract 3.02 OCR engine on your device to find text in images +Runs the Tesseract OCR engine on your device to find text in images captured by the device camera, without uploading your images to a server. It is suitable for recognizing individual words or short phrases of text. @@ -21,26 +21,7 @@ The default single-shot capture runs OCR on a snapshot image that's captured when you click the shutter button, like a regular photo. When the "continuous preview" checkbox is checked, the app shows a dynamic, real-time display of what the device is recognizing right beside the camera -viewfinder. The continuous preview mode works best on a fast device. The -app supports x86 natively. - -# Point the device at some text and touch the on-screen shutter button to start OCR -# To copy text to the clipboard or share text, long-press on the text after pressing the shutter button -# For recognizing individual Chinese/Japanese/Korean characters, access the settings and set the page segmentation mode to "single character" - -RECOGNITION ACCURACY -* Various factors can cause the OCR to fail: uneven illumination, stylized text, or text without enough contrast from the background. Try to have good lighting -* Hold the device steady, and be sure the picture is in focus -* If you need to scan a large block of text or an entire document, consider using a flatbed document scanner - -Supported languages for OCR: Arabic, Bulgarian, Catalan, Chinese (Simplified), -Chinese (Traditional), Czech, Danish, Dutch, English, Finnish, French, German, -Greek, Hindi, Hungarian, Indonesian, Italian, Japanese, Korean, Latvian, -Lithuanian, Polish, Portuguese, Romanian, Russian, Serbian (Latin), Slovak, -Slovenian, Spanish, Swedish, Tagalog, Thai, Turkish, Ukrainian, and Vietnamese. -Arabic OCR requires a large amount of RAM. If your device doesn't have enough -RAM, the app will quit during OCR. The preferred language can be chosen in -the settings. +viewfinder. The continuous preview mode works best on a fast device. . Repo Type:git @@ -51,10 +32,19 @@ subdir=android,srclibs=TessTwo@cbfa61eff0,prebuild=\ sed -i 's@\(rence.1=\).*@\1../tess-two@' project.properties && \ cp -r $$TessTwo$$ ../,build=$$NDK$$/ndk-build -C ../tess-two -Auto Update Mode:None -# not every version is published and there is no secondary check -#Update Check Mode:Market -Update Check Mode:None -Current Version:0.5.12 -Current Version Code:31 +Build:0.5.13,32 + disable=needs testing + commit=10c6621452be6f215 + subdir=android + srclibs=1:TessTwo@8f63ae2058159 + build=$$NDK$$/ndk-build -C $$TessTwo$$ + +Maintainer Notes: +RepoManifest always a version ahead, since upstream bumps versions just after each release. +. + +Auto Update Mode:None +Update Check Mode:RepoManifest +Current Version:0.5.14 +Current Version Code:33