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Get rid of huge orange.ocr desc. Prepare for higher build.

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This commit is contained in:
Daniel Martí 2013-12-30 00:11:18 +01:00
parent 981faaf3c2
commit d871468483
1 changed files with 17 additions and 27 deletions
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44
metadata/edu.sfsu.cs.orange.ocr.txt
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@ -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. into a browser or a dictionary.
Experimental app for optical character recognition (OCR). 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. captured by the device camera, without uploading your images to a server.
It is suitable for recognizing individual words or short phrases of text. 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 you click the shutter button, like a regular photo.
When the "continuous preview" checkbox is checked, the app shows a dynamic, 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 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 viewfinder. The continuous preview mode works best on a fast device.
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.
. .
Repo Type:git Repo Type:git
@ -51,10 +32,19 @@ subdir=android,srclibs=TessTwo@cbfa61eff0,prebuild=\
sed -i 's@\(rence.1=\).*@\1../tess-two@' project.properties && \ sed -i 's@\(rence.1=\).*@\1../tess-two@' project.properties && \
cp -r $$TessTwo$$ ../,build=$$NDK$$/ndk-build -C ../tess-two cp -r $$TessTwo$$ ../,build=$$NDK$$/ndk-build -C ../tess-two
Auto Update Mode:None Build:0.5.13,32
# not every version is published and there is no secondary check disable=needs testing
#Update Check Mode:Market commit=10c6621452be6f215
Update Check Mode:None subdir=android
Current Version:0.5.12 srclibs=1:TessTwo@8f63ae2058159
Current Version Code:31 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