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I am using Pytesseract for OCR. But it looks like there is no option in the documentation to extract the confidence of ever character. I already have the Confidence of word but I want to know at which character the confidence is getting low.
So after research I came to know there is a function tesserractExtractResult() in the tesseract API which can give confidence of characters.
How can I use this function in Python?
Pytesseract calls Tesseract in the background as if launched in a terminal (here in the source code), so you have at your disposition only what the shell command can do - and as far I know, you can't get character confidence.
I think that pyocr should be able to do so, but it is needed to add the function call (maybe in tesseract_raw.py? ).
Also, more as a note: it seems that python-tesseract and pytess have at least some line in code referring to tesseractExtractResult, but last commits were respectively in 2015 and 2012.
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I am looking forward to building a program in python which tells if a text is fake or real. This is a project I want to start for educational purposes. For example, someone is sharing a story, the program will check the input and will determine whether the author is likely telling truth or fiction based on common patterns. I am looking for some things I can start off from, like libaries or documentation. Thanks for anyone who is willimg to help.
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I want to detect and/or replace weird utf, non-emoji characters that break my tokenization pipeline, like \uf0fc, which renders like a cup/glass:
That image / code is not contained in the emojis package, which I tried for filtering.
Is there a class that describes all such characters?
Is there a way I can reliably detect them?
This is a character from a Private Use Area. It happens to look like a tankard in your font, but the Unicode standard doesn't mandate a specific look or meaning for these; it has whatever meaning you assign to it. The idea is that you agree upon a meaning with whoever you're communicating with - privately, meaning without getting the Unicode Consortium involved.
You can use the standard unicodedata module to check whether a character is from the Co category, or just hardcode the ranges, as described here.
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I've recently started looking into low level bit manipulation.
http://bits.stephan-brumme.com/
and
http://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetNaive
I understand the concept of how to clear/set/toggle/check etc., a bit within an integer or a byte. (Get a specific bit from byte)
I cannot however seem to find how to change the value of a bit at a specific location in my hard drive.
I would be attempting to do this in Ubuntu 14.04 LTS. I am most familiar with Python and C++ but i'll take answers in any language.
It would go like this:
Open the drive for read/write, as root. (ex: /dev/sda)
Mmap the drive (or you can seek and read/write)
find the byte, modify the bits you want, flush and unmmap (or close).
Someone else would probably provide the code version of this.
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I'm using Psychopy for some stimulus presentation and have written a script thats working well but always presents on my laptop monitor not the second monitor (even if that one is set to primary display). I know you can use the Monitor Center for this type of adjustment but I would like to save the script as an exe so if it is possible to utilize the Monitor Class to always use the Primary screen for displaying that would be ideal.
I'm struggling with this page, however, http://www.psychopy.org/api/monitors.html
-->Does anyone know if it is possible to write a psychopy script to always display in the Window's Primary Display monitor??
THANKS!
Use the screen keyword in psychopy.visual.Window and set it to whatever value works for you, e.g.:
from psychopy import visual
win = visual.Window(screen=1)
See the documentation for visual.Window.
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I have an idea, that is, I want to identify the letters in an image which may be .bmp or .jpg.
For example, here is an .bmp image with a letter 'S' in it. What I want to do is to identify the letter using Python.
It's kinda similar with those Questions about auth code recognition, and I read some of those Q's, but still can't figure what to do.
Any advice is appreciated.
You're probably looking for the OpenCV toolkit; it is commonly used for tasks where software must "recognize" some contents or features from images.
Also there is whole blown system Ocropus which has Python bindings or perhaps better Python bindings to tesseract