neeru1207 / ai_sudoku Goto Github PK

Hi,
I am just wondering if you can tell me what I have done wrong.

When i typed python Run.py

i am getting this error

ModuleNotFoundError: No module named 'cv2'

Error could not find a version that satisfies the requirement opencv-contrib-python==4.1.1.26 (from -r requirements.txt(line 12))

Awesome example fo AI, but solution is wrong. Mine also get wrong at first then I rectified my mistake. Implemented in ReactNative

Check this link

https://www.linkedin.com/posts/urvesh-ghoderao-196817160_algorithm-reactnative-activity-6570996500195840000-EtyQ

G:\Python\python.exe F:/DACS5/copy/AI_Sudoku/MainUI.py
Traceback (most recent call last):
File "F:\DACS5\copy\AI_Sudoku\MainUI.py", line 7, in
from RecognizeAndConstructBoard import ConstructGrid
File "F:\DACS5\copy\AI_Sudoku\RecognizeAndConstructBoard.py", line 9, in
from Recognizer import DigitRecognizer
File "F:\DACS5\copy\AI_Sudoku\Recognizer.py", line 6, in
import tensorflow as tf
File "G:\Python\lib\site-packages\tensorflow_init_.py", line 473, in
keras._load()
File "G:\Python\lib\site-packages\tensorflow\python\util\lazy_loader.py", line 41, in load
module = importlib.import_module(self.name)
File "G:\Python\lib\importlib_init.py", line 126, in import_module
return bootstrap.gcd_import(name[level:], package, level)
File "G:\Python\lib\site-packages\keras_init.py", line 25, in
from keras import models
File "G:\Python\lib\site-packages\keras\models_init.py", line 18, in
from keras.engine.functional import Functional
File "G:\Python\lib\site-packages\keras\engine\functional.py", line 25, in
from keras.engine import base_layer
File "G:\Python\lib\site-packages\keras\engine\base_layer.py", line 43, in
from keras.mixed_precision import loss_scale_optimizer
File "G:\Python\lib\site-packages\keras\mixed_precision\loss_scale_optimizer.py", line 20, in
from keras.optimizer_experimental import optimizer as optimizer_experimental
File "G:\Python\lib\site-packages\keras\optimizer_experimental\optimizer.py", line 649, in
tf.internal.saved_model.load.register_revived_type(
File "G:\Python\lib\site-packages\tensorflow\python\saved_model\revived_types.py", line 133, in register_revived_type
raise AssertionError(f"Duplicate registrations for type '{identifier}'")
AssertionError: Duplicate registrations for type 'experimentalOptimizer'

Process finished with exit code 1

When executing code
The following bug is created
Help fix the bug

python3 Run.py

My Os : Win 10

ValueError: No active dataset mnist_784 found.

Thank

2023-05-06 10:39:50.429221: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-05-06 10:39:51.623062: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Saved KNN Classifier not found....
Downloading MNIST Data, training KNN classifier and saving as knn.sav......
Kindly wait for a few minutes............
/usr/local/lib/python3.10/dist-packages/sklearn/datasets/_openml.py:968: FutureWarning: The default value of parser will change from 'liac-arff' to 'auto' in 1.4. You can set parser='auto' to silence this warning. Therefore, an ImportError will be raised from 1.4 if the dataset is dense and pandas is not installed. Note that the pandas parser may return different data types. See the Notes Section in fetch_openml's API doc for details.
warn(
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/pandas/core/indexes/base.py", line 3802, in get_loc
return self._engine.get_loc(casted_key)
File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 34540

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/content/AI_Sudoku/Run.py", line 19, in
knnobj.skl_knn()
File "/content/AI_Sudoku/KNN.py", line 40, in skl_knn
fifty_x, fifty_y = self.mk_dataset(50000)
File "/content/AI_Sudoku/KNN.py", line 28, in mk_dataset
train_img = [self.data[i] for i in self.indx[:size]]
File "/content/AI_Sudoku/KNN.py", line 28, in
train_img = [self.data[i] for i in self.indx[:size]]
File "/usr/local/lib/python3.10/dist-packages/pandas/core/frame.py", line 3807, in getitem
indexer = self.columns.get_loc(key)
File "/usr/local/lib/python3.10/dist-packages/pandas/core/indexes/base.py", line 3804, in get_loc
raise KeyError(key) from err
KeyError: 34540

I am new to GitHub and don't really know how to run this code in MacBook.I tried downloading zip file and running the .py extension files in Pycharm but getting many errors.Can you please guide me?

Unable to import 'RecognizeAndConstructBoard',
Unable to import 'BoardExtractor'
Unable to import 'SudokuSolver'

Hey Neeramitra,can you specify the license?? :)

Awesome project, I'm just wondering, is there appetite to wrap the core functionality into a Flask rest endpoint? or at least point me to the core functionality required to expose said core functionality into a rest endpoint?

(sudokuenv) C:\Users\Bruno\sudokuenv\AI_Sudoku-master>python Run.py
Traceback (most recent call last):
File "Run.py", line 2, in
from MainUI import MainUI
File "C:\Users\Bruno\sudokuenv\AI_Sudoku-master\MainUI.py", line 4, in
from tkinter import *
ModuleNotFoundError: No module named 'tkinter'

hello
my environment is python3 with macos
I build sudoku app with flutter , I hope to make a Sudoku picture scanner to solve sudoku problems , but I'am not good for python and AI technology , can you support this ?

this is sudoku-flutter repository : https://github.com/einsitang/sudoku-flutter

Amazing work!

But it doesn't solve the sudoku.
It says invalid board for every image.