PSM | AcikHack Hackathon | Data Labeling library
kandi X-RAY | PSM Summary
kandi X-RAY | PSM Summary
AcikHack Hackathon 30.11.2019
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Stem a word
- Returns True if the word should be marked with the given suffix
- Strips the suffix of a word
- Strips stemming
- Recognize audio
- Return the path to shutil
- Get the FLAC converter
- Get the FLAC data
- Recognize an audio capture
- Get the WAV data
- Get the raw data
- Listen for audio source
- Wait for a single hot word
- Returns a dictionary of all working microphones
- Return PyAudio instance
- Recognize lex
- Recognize a WAV
- Recognize a tensorflow
- Recognize Soundify
- Recognize an audio speech recognition
- Recognize a recording
- Records an audio source
- Listen for events in source
- Generate the AIFF - C
- Adjusts the noise threshold for an audio source
- Returns a list of all the names of all the Microphone devices
PSM Key Features
PSM Examples and Code Snippets
from PIL import Image
import pytesseract
# If you don't have tesseract executable in your PATH, include the following:
pytesseract.pytesseract.tesseract_cmd = r''
# Example tesseract_cmd = r'C:\Program Files (x86)\Tesseract-OCR\tesseract'
# Simple im
Community Discussions
Trending Discussions on PSM
QUESTION
I have a bunch of image each one corresponding to a name that I'm passing to Pytesseract for recognition. Some of the names are a bit long and needed to be written in multiple lines so passing them for recognition and saving them to a .txt file resulted in each part being written in a newline.
Here's an example
This is being recognized as
...ANSWER
Answered 2021-Jun-06 at 18:50I would try to add after the line:
QUESTION
I'm having a hard time extracting the text CHUBB from this image above. I have attempted several image preprocessing techniques and using pytesseract to extract but no success.
My Output: '\x0c'
Expected output: 'CHUBB'
Any help would be appreciated
My attempt:
...ANSWER
Answered 2021-Jun-05 at 19:22I think the problem is that the text CHUBB is too large for the picture. If we decrease the size a little bit or paste it into a larger canvas, then pytesseract will work fine
QUESTION
I am trying to detect the .pdf file text.
They are first converted to an image, then given to Tesseract.
The detection is good but they make too many line breaks.
For example if the file is a bit panched on the right, the sentence:
"I like Tesseract for reading text"
become:
"text read for Tesseract like I"
And that's already after a treatment because the raw text is :
"text
read
for
Tesseract
like
I"
The bug occurs since the source .pdf are in 300DPI, I understand that the problem comes from the resolution but I cannot find how to solve it.
Here is my Tesseract cmd Tesseract.exe dummy.pdf dumy-ocr.pdf --psm 12 --dpi 300 -l bvr+fra+eng+deu hocr pdf
First, I would like to solve the problem of too many lines,
Then I would find out how to make the image perfectly straight
Thank you in advance for your help
ANSWER
Answered 2021-May-26 at 21:19You seem to be working backwards. The "many" lines and thus word reversal are due to the anti-clockwise rotation.
QUESTION
I was trying setup enviorment to develop some program for new PICO, but only compile one time, after I haved this error:
...ANSWER
Answered 2021-Feb-22 at 13:50Okey, solution was erease the content from autogenerated file, save file and build again...,
After several builds error appear again, and same procedure was success :D
Thanks all that tried to helped me if knows about root issue will be great!
QUESTION
I'm trying to extract text from images. Currently I'm getting empty string as output. Below is my code for pytesseract, although I'm open to Keras OCR also:-
...ANSWER
Answered 2021-May-25 at 07:21The reason for keras-ocr
not working or returning nothing is because of the grayscale image (as I found it worked otherwise). See below:
QUESTION
I'm using pytesseract
to extract names from images (the images are the bouding boxes of the names so it's just the name by itself with nothing else)
I get good results but because my roi selection isn't very good sometimes I get bounding boxes on stuff I don't care for.
I got the idea to apply pytesseract-engine
to all the images and then only save the ones where the return value on them was all caps and different from two specific words that are all caps but that I still don't care for.
This is the code:
...ANSWER
Answered 2021-May-21 at 03:53I'm having a hard time understanding what you're trying to do, but if you're looking to grab all-caps words you can do:
QUESTION
I am trying to detect the text from the images but fail due to some unknown reasons.
...ANSWER
Answered 2021-May-17 at 11:25OCR using tesseract on crude/raw image inputs might not give you expected result. For the given image, a somewhat better result can be obtained using grayscale conversion followed by thresholding operation
To perform the conversion and thresholding operation you may use ImageMagick as follows:
QUESTION
I am trying to plot the prediction error curve from pec package but I can't change the legend position and size. There's an example from pec package:
...ANSWER
Answered 2021-May-10 at 07:13I think I got what you want using ggplot2
. The idea is to pick elements from your brier
object that contains data for the plot, make a dataframe with it and plot it.
QUESTION
ANSWER
Answered 2021-May-03 at 09:00I was actually quite surprised, how good the result already is, seeing this noticable skew. But, that's not the actual problem with the last line, but the shadow! This is your thresholded image:
So, pytesseract
has no chance to properly detect anything meaningful from the last line. Let's try to remove the shadow, following Dan Mašek's answer here, and let Otsu do the thresholding:
QUESTION
I've taken a few pictures , and am using openCV to crop these images so i only have the relevant text . This is the picture i've taken (i.e the cropped photo):
I try to feed this image to the image_to_string
function of pytesseract but when i print the output this is what i get
ANSWER
Answered 2021-Apr-25 at 18:09lCould you please try with a different psm config? Please note you dont have to close the cropped image with a parenthesis as you did.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PSM
You can use PSM like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page