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QUESTION
I would like to extract the definitions from the book The Navajo Language: A Grammar and Colloquial Dictionary by Young and Morgan. They look like this (very blurry):
I tried running it through the Google Cloud Vision API, and got decent results, but it doesn't know what to do with these "special" letters with accent marks on them, or the curls and lines on/through them. And because of the blurryness (there are no alternative sources of the PDF), it gets a lot of them wrong. So I'm thinking of doing it from scratch in Tesseract. Note the term is bold and the definition is not bold.
How can I use Node.js and Tesseract to get basically an array of JSON objects sort of like this:
...ANSWER
Answered 2021-Jun-15 at 20:17Tesseract takes a lang
variable that you can expand to include different languages if they're installed. I've used the UB Mannheim (https://github.com/UB-Mannheim/tesseract/wiki) installation which includes a ton of languages supported.
To get better and more accurate results, the best thing to do is to process the image before handing it to Tesseract. Set a white/black threshold so that you have black text on white background with no shading. I'm not sure how to do this in Node, but I've done it with Python's OpenCV library.
If that font doesn't get you decent results with the out of the box, then you'll want to train your own, yes. This blog post walks through the process in great detail: https://towardsdatascience.com/simple-ocr-with-tesseract-a4341e4564b6. It revolves around using the jTessBoxEditor to hand-label the objects detected in the images you're using.
Edit: In brief, the process to train your own:
- Install jTessBoxEditor (https://sourceforge.net/projects/vietocr/files/jTessBoxEditor/). Requires Java Runtime installed as well.
- Collect your training images. They want to be .tiffs. I found I got fairly accurate results with not a whole lot of images that had a good sample of all the characters I wanted to detect. Maybe 30/40 images. It's tedious, so you don't want to do TOO many, but need enough in order to get a good sampling.
- Use jTessBoxEditor to merge all the images into a single .tiff
- Create a training label file (.box)j. This is done with Tesseract itself.
tesseract your_language.font.exp0.tif your_language.font.exp0 makebox
- Now you can open the box file in jTessBoxEditor and you'll see how/where it detected the characters. Bounding boxes and what character it saw. The tedious part: Hand fix all the bounding boxes and characters to accurately represent what is in the images. Not joking, it's tedious. Slap some tv episodes up and just churn through it.
- Train the tesseract model itself
- save a file:
font_properties
who's content isfont 0 0 0 0 0
- run the following commands:
tesseract num.font.exp0.tif font_name.font.exp0 nobatch box.train
unicharset_extractor font_name.font.exp0.box
shapeclustering -F font_properties -U unicharset -O font_name.unicharset font_name.font.exp0.tr
mftraining -F font_properties -U unicharset -O font_name.unicharset font_name.font.exp0.tr
cntraining font_name.font.exp0.tr
You should, in there close to the end see some output that looks like this:
Master shape_table:Number of shapes = 10 max unichars = 1 number with multiple unichars = 0
That number of shapes should roughly be the number of characters present in all the image files you've provided.
If it went well, you should have 4 files created: inttemp
normproto
pffmtable
shapetable
. Rename them all with the prefix of your_language
from before. So e.g. your_language.inttemp
etc.
Then run:
combine_tessdata your_language
The file: your_language.traineddata
is the model. Copy that into your Tesseract's data folder. On Windows, it'll be like: C:\Program Files x86\tesseract\4.0\tessdata
and on Linux it's probably something like /usr/shared/tesseract/4.0/tessdata
.
Then when you run Tesseract, you'll pass the lang=your_language
. I found best results when I still passed an existing language as well, so like for my stuff it was still English I was grabbing, just funny fonts. So I still wanted the English as well, so I'd pass: lang=your_language+eng
.
QUESTION
I am trying to reduce lines of code because I realized that I am repeating the same equations every time. I am programming a contour map and putting several sources of intensity into it. Until now I put 3 sources, but in the future I want to put more, and that will increase the lines a lot. So I want to see if it is possible to reduce the lines of "source positions" and "Intensity equations". As you can see the last equation is a logaritmic summation of z1, z2 and z3, is it possible to reduce that, any idea?
...ANSWER
Answered 2021-Jun-15 at 15:45You could iterate over certain parts in a loop.
I tried to keep the same format overall and just rearranged the code to show how you might do it.
QUESTION
I tried 5 different implementations of the Sobel operator in Python, one of which I implemented myself, and the results are radically different.
My questions is similar to this one, but there are still differences I don't understand with the other implementations.
Is there any agreed on definition of the Sobel operator, and is it always synonymous to "image gradient"?
Even the definition of the Sobel kernel is different from source to source, according to Wikipedia it is [[1, 0, -1],[2, 0, -2],[1, 0, -1]]
, but according to other sources it is [[-1, 0, 1],[-2, 0, 2],[-1, 0, 1]]
.
Here is my code where I tried the different techniques:
...ANSWER
Answered 2021-Jun-15 at 14:22according to wikipedia it's [[1, 0, -1],[2, 0, -2],[1, 0, 1]] but according to other sources it's [[-1, 0, 1],[-2, 0, 2],[-1, 0, 1]]
Both are used for detecting vertical edges. Difference here is how these kernels mark "left" and "right" edges.
For simplicity sake lets consider 1D example, and let array be
[0, 0, 255, 255, 255]
then if we calculate using padding then
- kernel
[2, 0, -2]
gives[0, -510, -510, 0, 0]
- kernel
[-2, 0, 2]
gives[0, 510, 510, 0, 0]
As you can see abrupt increase in value was marked with negative values by first kernel and positive values by second. Note that is is relevant only if you need to discriminate left vs right edges, when you want just to find vertical edges, you might use any of these 2 aboves and then get absolute value.
QUESTION
I'm working on a Dataframe which contains multiple possible values from three different sources for a single item, which is in the index, such as:
...ANSWER
Answered 2021-Jun-15 at 13:39IIUC, try:
QUESTION
I am trying to dynamically generate the following html table, as seen on the screenshot
I was able to manually create the table using dummy data, but my problem is that I am trying to combine multiple data sources in order to achieve this HTML table structure.
SEE STACKBLITZ for the full example.
The Data looks like this (focus on the activities field):
...ANSWER
Answered 2021-Jun-13 at 13:28Oh, if you can change your data structure please do.
QUESTION
I have an application using ASP.NET Core MVC and an Angular UI framework.
I can run the application in IIS Express Development Environment without issue. When I switch to the IIS Express Production environment or deploy to an IIS host, my index referenced files cannot be read showing a browser error:
Uncaught SyntaxError: Unexpected token '<'
These pages look like they are loading the index page as opposed to the .js or .css files.
Here is a snippet of the underlying runtime.js as it should be loaded into browser, it is not loaded with index.html.
...ANSWER
Answered 2021-Jun-14 at 14:39Mayby you are missing
QUESTION
I am trying to install all needed modules for an existing Django project. When I run pip install -r requirements.txt
I get the following errors:
ANSWER
Answered 2021-Jan-26 at 13:05Inside your requirements.txt change scipy line with this scipy==1.6.0 and save. Now retry pip installation.
QUESTION
I have sample tests used from scalatest.org site and maven configuration again as mentioned in reference documents on scalatest.org, but whenever I run mvn clean install
it throws the compile time error for scala test(s).
Sharing the pom.xml
below
ANSWER
Answered 2021-Jun-14 at 07:54You are using scalatest
version 2.2.6
:
QUESTION
What i want to achieve looks like this:
I have looked through mulitple sources online and on stackoverflow and many show that we can display the value in a textfield by using a raisedbutton.
So far i managed to use the barcode scanner to scan but the scanned barcode doesnt appear in the textfield like i want it to.
My Code:
...ANSWER
Answered 2021-Jun-14 at 11:12textController.text = barcode
instead of
QUESTION
I am trying to use multiple files in SwiftUI playground. I added some code in a separate file in sources. I just want the sheet view to appear when the button is tapped. Even though I have made the struct public but I still get the error as " SecondView initializer is inaccessible due to internal protection level "
Here's the code:
...ANSWER
Answered 2021-Jun-14 at 10:13The default initialiser (the one generated by the compiler, since you didn't declare one explicitly) is actually internal
.
This is documented here:
A default initializer has the same access level as the type it initializes, unless that type is defined as public. For a type that’s defined as public, the default initializer is considered internal. If you want a public type to be initializable with a no-argument initializer when used in another module, you must explicitly provide a public no-argument initializer yourself as part of the type’s definition.
So you should do:
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