https://github.com/shettysach/kannada-digit-recognizer-v1

Using a Convolutional Neural Network (CNN) to identify the Kannada numerical digits. Tensorflow (Keras) is used to create, train and load the neural network model. CustomTKinter/TKinter are used to provide the GUI and OpenCV is used to read input form the GUI.
https://github.com/shettysach/kannada-digit-recognizer-v1

cnn cnn-classification cnn-keras cnn-model convolutional-neural-networks customtkinter digit-recognition-mnist digit-recognizer kannada kannada-digit kannada-mnist keras keras-classification-models keras-neural-networks mnist mnist-classification opencv tensorflow tensorflow2 tkinter

Last synced: 18 days ago
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Using a Convolutional Neural Network (CNN) to identify the Kannada numerical digits. Tensorflow (Keras) is used to create, train and load the neural network model. CustomTKinter/TKinter are used to provide the GUI and OpenCV is used to read input form the GUI.

• Host: GitHub
• URL: https://github.com/shettysach/kannada-digit-recognizer-v1
• Owner: ShettySach
• Created: 2023-09-09T13:41:32.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-28T09:24:06.000Z (about 1 year ago)
• Last Synced: 2024-01-30T12:06:54.804Z (11 months ago)
• Topics: cnn, cnn-classification, cnn-keras, cnn-model, convolutional-neural-networks, customtkinter, digit-recognition-mnist, digit-recognizer, kannada, kannada-digit, kannada-mnist, keras, keras-classification-models, keras-neural-networks, mnist, mnist-classification, opencv, tensorflow, tensorflow2, tkinter
• Language: Jupyter Notebook
• Homepage:
• Size: 3.28 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Kannada-Digit-Recognizer-v1

Using a Convolutional Neural Network (CNN) to identify the Kannada numerical digits.

Tensorflow (Keras) is used to create, train and load the neural network model.

CustomTKinter/TKinter are used to provide the GUI and OpenCV is used to read input from the GUI.

[New version](https://github.com/ShettySach/Kannada-Digit-Recognizer-v2)

## Requirements -

```bash

pip install -r requirements.txt

```

* Tensorflow (Keras)

* OpenCV

* Pillow (PIL)

* Pandas

* Numpy

* CustomTkinter

## Instructions -

* Run either of the Jupyter notebooks - GUI_CustomTkinter.ipynb / GUI_Tkinter.ipynb 

### CustomTKinter GUI

![CTK](https://github.com/ShettySach/Kannada-Digit-Recognizer/assets/132273464/2e3c5d64-b138-40ae-bb6a-5978b7d7f2ed)

### TKinter GUI

![TK](https://github.com/ShettySach/Kannada-Digit-Recognizer/assets/132273464/6048ec82-7a56-4155-8097-4d21eecbbacc)

#### Data - https://www.kaggle.com/competitions/Kannada-MNIST/data

#### Notebook used as reference - https://www.kaggle.com/code/shahules/indian-way-to-learn-cnn