Here's a preview of the app.
To access the step by step tutorial on how to make this flask app using Python, Visit the article below👇👇
Build Flask App For Image Recognition Using Deep Learning Model
Create a Flask app for image recognition of digit hand sign which is based on the deep-learning model.
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Here's the full source code on GitHub👇👇
Sachin-crypto
/
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.
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.
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.
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