Pre-Processing FrameWork For Handwritten Image Analysis
A simple UI firendly Drag and Drop approach web-framework built to Pre-Process the Handwritten Images. In this Project You can Choose your own Thresholding Filter from the given three set. Selecting upon which gives you a outlined Image. Add Noise If you want to check and know the filter you created is working or not. In the End the filter you select will be applied on the Image. You can choose one or more, in this way you can end up maybe creating another filter!
Getting Started
Clone or Download the File in your system. Navigate to the folder. Open in cmd use command, to run the server -
streamlit run app.py
Prerequisites
Contents in Requirements.txt
scikit_image==0.16.2
numpy==1.18.1
scipy==1.4.1
opencv_python==4.1.2.30
streamlit==0.60.0
imutils==0.5.3
Pillow==7.1.2
skimage==0.0
Install the modules from requirements.txt
pip install -r requirements.txt
Built With
- Python - Programming Language Used
- Streamlite - The Web FrameWork Used
- Scikit-image - Python Library for Image Processing.
- OpenCV - Python Library for Computer Vision.