Because it has way to much errors with out from the last thread where I got the last Code that can take pictures of text and numbers either from your library or a disposable picture with the camera but I get way to much errors

So I just updated to iOS 15.3 and it said it can download core mls for machine learning modules and on their web site they got something called mnist and I need it to take a picture of my sudoku puzzle and input them into my app I’m gonna go check out the old thread on the forum but if anyone of you can build it and compose it faster I just need it to print it properly in the console like a 9 by 9 and I can adapt it to my sudoku app

Is it possible to make speech to text with pythonista to print to the console,

Or also displaying it as a textsprite thingy

Cool awesome Thanks this worked I did not know you could use for twice in one line of code

a=[‘Haloween’, ‘Boom’, ‘hi’, ‘Howl’, ‘if’, ‘ghosts’]
B=[s[i:i+2] for s in a for i in range(0, len(s), 2)]
Print(B)

I have a question about a list of strings

Say I got a list like

a=[‘Haloween’, ‘Boom’, ‘hi’, ‘Howl’, ‘if’, ‘ghosts’]

How do you split or slice the strings to make a list like

a=[‘Ha’, ‘lo’, ‘we’, ‘en’, ‘Bo’, ‘om’, ‘hi’, ‘Ho’, ‘wl’, ‘if’, ‘gh’, ‘os’, ‘ts’]

Is this possible to do?

Question 1
Are you able to pip install opencv cv2 with stash?

Question 2
Are you able to install tessaract and pytessaract with stash?

Question 3
Does pythonista 3 come with Core ML already or does it need to be installed?

I have a quick question in regards to the original ocr post how do I print the text as one single csv list, I tried but I have been getting a list of lists instead of one single list

This is a snippet of the code example I think needs to be altered

  success = handler.performRequests_error_([req], None)
    if success:
        for result in req.results():
            print(result.text())
    else:
        print('Problem recognizing anything')

ive seen the apple documentation coding on Vision Framework I just dont know how to convert it to python

Question 1
What about the setting the minimum text height how do you translate either of these codes to python????
@property(readwrite, nonatomic, assign) float minimumTextHeight; written in objective-c
var minimumTextHeight: Float { get set } written in Swift

Question 2
I was also interested in learning how to recognize the individual boxes from a sudoku puzzle to extract the numbers is there a way to do that possibly with
VNRecognizedTextObservation A request that detects and recognizes regions of text in an image.
or possibly with the bounding box technique show in the video https://developer.apple.com/videos/play/wwdc2019/234 , also can you put multiple bounding boxes to recognize text from a sudoku card

this is Mikeals code i am trying to insert the code into but dont know how to convert the code shown in the apple documentation into python

language_preference = ['fi','en','se']

import photos, ui, dialogs
import io
from objc_util import *

load_framework('Vision')
VNRecognizeTextRequest = ObjCClass('VNRecognizeTextRequest')
VNImageRequestHandler = ObjCClass('VNImageRequestHandler')

def pil2ui(pil_image):
    buffer = io.BytesIO()
    pil_image.save(buffer, format='PNG')
    return ui.Image.from_data(buffer.getvalue())

selection = dialogs.alert('Get pic', button1='Camera', button2='Photos')

ui_image = None

if selection == 1:
    pil_image = photos.capture_image()
    if pil_image is not None:
        ui_image = pil2ui(pil_image)
elif selection == 2:
    ui_image = photos.pick_asset().get_ui_image()

if ui_image is not None:
    print('Recognizing...\n')

    req = VNRecognizeTextRequest.alloc().init().autorelease()
    req.recognitionLevel=1
    req.setRecognitionLanguages_(language_preference)
    handler = VNImageRequestHandler.alloc().initWithData_options_(ui_image.to_png(), None).autorelease()

    success = handler.performRequests_error_([req], None)
    if success:
        for result in req.results():
            print(result.text())
    else:
        print('Problem recognizing anything')

I have a few questions about the very first text recognition code posted on this one

the example video I am referring to is https://developer.apple.com/videos/play/wwdc2019/234

1 how do you change the recognition level from fast to accurate
example code from apple website I am not sure if its written in swift or objective c but it is like this :

myTextRegcognitionRequest.recognitionLevel = VNRequestTextRecognitionLevel.accurate

and another example of this shown in the apple video for setting the recognition level

 request.recognitionLevel = .fast 

question 2
to ensure that numbers don't get mistaken as letters
without the language corrector active to avoid mistaking the number 5 for an S or I as 1
example of this from the video is

extension Character {
       
     func GetSimilarCharacterIfNotIn(allowedChars: String -> Character {
            let  conversionTable = [
                      's':'5',
                      'S':'5',
                      'i':'1',
                      'I':'1', ] 

question 3
if you know how to set up the special words detector thingy feature mentioned in the video

I need help adapting this script for inputting the numbers from a picture of sudoku and insert the starting numbers into a console script, it does not work good for recognizing ones and sevens???

Example of sudoku solver

In my version I want to make the board is all zeros and when you take a picture it will add the numbers than solve, this combines the two programs (sudoku solver) & (ocr text recognition)

board=[
   [5,8,4,1,0,0,0,0,0],
   [0,0,6,8,0,0,5,1,0],
   [0,0,0,0,5,4,7,0,6],
   [0,5,3,0,1,0,0,6,7],
   [0,0,0,0,2,0,0,0,0],
   [4,6,0,0,9,0,8,3,0],
   [7,0,8,5,4,0,0,0,0],
   [0,2,9,0,0,3,4,0,0],
   [0,0,0,0,0,1,3,7,9]
   ]



def solve(bo):

   find = find_empty(bo)
   if not find:
       return True
   else:
       row,col = find

   for i in range(1,10):
       if valid(bo,i,(row,col)):
           bo[row][col] = i

           if solve(bo):
               return True

           bo[row][col] = 0

   return False



def valid(bo,num,pos):
   #check row
   for i in range(len(bo[0])):
       if bo[pos[0]][i] == num and pos[1] != i:
           return False
   #check column
   for i in range(len(bo[0])):
       if bo[i][pos[1]] == num and pos[0] != i:
           return False
   #check quadrant
   box_x = pos[1] // 3
   box_y = pos[0] // 3

   for i in range(box_y * 3, box_y * 3 + 3):
       for j in range(box_x * 3, box_x * 3 + 3):
           if bo[i][j] == num and (i,j) != pos:
               return False

   return True



def print_board(bo):
   for i in range(len(bo)):
       if i % 3 == 0 and i != 0:
           print('------+-------+------')

       for j in range(len(bo[0])):
           if j % 3 == 0 and j != 0:
               print('|',end=' ')
           if j == 8:
               print(bo[i][j])
           else:
               print(str(bo[i][j])+ ' ', end='')

def find_empty(bo):
   for i in range(len(bo)):
       for j in range(len(bo[0])):
           if bo[i][j] == 0:
               return (i,j) # row, col
   return None



print_board(board)
solve(board)
print('=====================')
print_board(board)

language_preference = ['fi','en','se']

import photos, ui, dialogs
import io
from objc_util import *

load_framework('Vision')
VNRecognizeTextRequest = ObjCClass('VNRecognizeTextRequest')
VNImageRequestHandler = ObjCClass('VNImageRequestHandler')

def pil2ui(pil_image):
   buffer = io.BytesIO()
   pil_image.save(buffer, format='PNG')
   return ui.Image.from_data(buffer.getvalue())

selection = dialogs.alert('Get pic', button1='Camera', button2='Photos')

ui_image = None

if selection == 1:
   pil_image = photos.capture_image()
   if pil_image is not None:
       ui_image = pil2ui(pil_image)
elif selection == 2:
   ui_image = photos.pick_asset().get_ui_image()

if ui_image is not None:
   print('Recognizing...\n')

   req = VNRecognizeTextRequest.alloc().init().autorelease()
   req.setRecognitionLanguages_(language_preference)
   handler = VNImageRequestHandler.alloc().initWithData_options_(ui_image.to_png(), None).autorelease()

   success = handler.performRequests_error_([req], None)
   if success:
       for result in req.results():
           print(result.text())
   else:
       print('Problem recognizing anything') ```