young | A micro scene for recruit | Runtime Evironment library
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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 have 2 df
...ANSWER
Answered 2021-Jun-15 at 12:08Use Series.map
with Series
by label_df
:
QUESTION
I want to create a Redux slice for the users inside the project I work on. I have this code sandbox and I do not know why there is the following error on the fetchAll
call in the MyButton.tsx
file:
fetchAll(arg: any): AsyncThunkAction
Expected 1 arguments, but got 0.
createAsyncThunk.d.ts(107, 118): An argument for 'arg' was not provided.
I have similar code in the project I work on and it does not have this error. I expected this to work just as it does in other similar files.
The relevant files from the sandbox:
MyButton.tsx ...ANSWER
Answered 2021-Jun-14 at 12:34Use the void
type if you don't want that argument. any
forces an argument.
QUESTION
This is my pubsepc.yaml code
...ANSWER
Answered 2021-Jun-13 at 02:59Delete the section To add assets to your application, add an assets section, like this:
from the pubspec.yaml
QUESTION
I was able to run my react app locally without issues, however when i deployed app to heroku I got OOM errors. It's not the first time I deploy the app, however this time I add OKTA authentication which apparently cause this issue. Any advise on how to resolve this issue will be appreciated.
...ANSWER
Answered 2021-Jun-12 at 09:13Try to add NODE_OPTIONS as key and --max_old_space_size=1024 in Config Vars under project settings
NODE_OPTIONS --max_old_space_size=1024 value.
I've found this in https://bismobaruno.medium.com/fixing-memory-heap-reactjs-on-heroku-16910e33e342
QUESTION
ANSWER
Answered 2021-Jun-11 at 16:42OP, I think I get what you are trying to explain. It seems the points are grouped according to age
, rather than treated as the same for each group
. The reason for this is that you have not specified what to group together. In order to jitter the points, they are first grouped together according to some aesthetic, then the jitter is applied. If you don't specify the grouping, then ggplot2
gives it a guess as to how you want to group the points.
In this case, it is grouping according to age
and group
, since both are defined to be used in the aesthetics (x=
, fill=
, and color=
are assigned to group
and shape=
is assigned to age
).
To define that you only want to group the points by the column group
, you can use the group=
aesthetic modifier. (reposting your data with a seed so you see the same thing)
QUESTION
I'd like to create a regex that would be able to grab everything up to and after DESCRIPTION, until the next TITLE: is found.
...ANSWER
Answered 2021-Jun-11 at 01:07/(?=TITLE: )/g
seems like a reasonable start. I'm not sure if the gutter of 2 characters whitespace is in your original text or not, but adding ^
or ^
to the front of the lookahead is nice to better avoid false-positives, i.e. /(?=^TITLE: )/mg
, /(?=^ TITLE: )/mg
or /(?=^ *TITLE: )/mg
.
QUESTION
My program grabs ~70 pages of 1000 items from an API and bulk-inserts it into a SQLite database using Sequelize. After looping through a few times, the memory usage of node goes up to around 1.2GB and and then eventually crashes the program with this error: FATAL ERROR: MarkCompactCollector: young object promotion failed Allocation failed - JavaScript heap out of memory
. I've tried using delete
for all of the big variables that I use for the response of the API call and stuff with variable = undefined
and then global.gc()
, however I still get huge amounts of memory usage and eventually it crashes. Would increasing the memory cap of Node.js help? Or would the memory usage of it just keep increasing until it hits the next cap?
Here's the full output of the error:
...ANSWER
Answered 2021-Jun-10 at 10:01From the data you've provided, it's impossible to tell why you're running out of memory.
Maybe the working set (i.e. the amount of stuff that you need to keep around at the same time) just happens to be larger than your current heap limit; in that case increasing the limit would help. It's easy to find out by trying it, e.g. with --max-old-space-size=8000
(megabytes).
Maybe there's a memory leak somewhere, either in your own code, or in one of your third-party modules. In other words, maybe you're accidentally keeping objects reachable that you don't really need any more.
If you provide a repro case, then people can investigate and tell you more.
Side notes:
- according to your output, heap memory consumption is growing to ~4 GB; not sure why you think it tops out at 1.2 GB.
- it is never necessary to invoke
global.gc()
manually; the garbage collector will kick in automatically when memory pressure is high. That said, if something is keeping old objects reachable, then the garbage collector can't do anything.
QUESTION
I have the following SQL query:
...ANSWER
Answered 2021-Jun-08 at 09:17Do not use distinct but get the the top rows over partition by description ordered by attributevalueid
QUESTION
I am working on a bash script that needs to operate on several directories. In each directory it needs to source a setup script unique to that directory and then run some commands. I need the environment set up when that script is sourced to only persist inside the function, as if it had been called as an external script with no persistent effects on the calling script.
As a simplified example if I have this script, sourced.sh:
...ANSWER
Answered 2021-Jun-07 at 21:32You said
Creating another script like external.sh:
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