Skip to content

Latest commit

 

History

History
15 lines (8 loc) · 597 Bytes

README.md

File metadata and controls

15 lines (8 loc) · 597 Bytes
Raw

Handwritten Letters Classifier

Model (PyTorch) + Web App (Streamlit) for the EMNIST letters dataset containing 145,600 images across 26 classes.

How To Run The Web App

  1. Clone the repository with https://github.com/gitHasty-0321/canvasClassifier.git
  2. To install - pip install -r requirements.txt
  3. To install all deps separately - pip install streamlit streamlit-drawable-canvas torch torchvision
  4. To run the app on http://localhost:8501 run streamlit run app/app.py
Handwritten.Letters.Classifier.-.Google.Chrome.2022-07-01.15-59-44_Trim.mp4