/Flask_Image_Recognition

This Flask webapp is all about predicting the hand sign digit images based on the deep learning model trained using transfer learning.

Primary LanguageHTML

Hand Digit Image Recognition

This web app is made using Flask framework and is all about predicting the hand sign digit images based on the deep learning model trained using transfer learning.

Python Keras Numpy Pillow Flask Bootstrap

Glimpse

Flask-Image_Recognition-App.mp4

Dependencies

  • Flask
  • TensorFlow (Keras)
  • Numpy
  • Pillow (PIL)

UI Framework

  • Bootstrap

Get Started

Clone the repository in your project directory.

git clone https://github.com/Sachin-crypto/Flask_Image_Recognition.git

OR

Download as ZIP file and extract it in your project directory.

Install Dependencies

Install the dependencies from the requirements.txt file.

pip install -r requirements.txt

Run

cd into the current directory and run the script.

flask --app app.py run --debug

Click here to get the detailed guide on running the Flask app from the command line.

Test

  • Choose an image from the test images folder.
  • You will see a preview of the uploaded image.
  • Click on Submit button and see the magic.