GitHub / GabrielEdradan / HMC-Grad
Automate handwritten multiple-choice test grading with HMC-Grad, using a CNN trained in PyTorch on the EMNIST dataset and OpenCV for image processing. Input the correction key and the images of the answer sheets to receive each one's correctness and score, along with item and score analysis, in CSV and XLSX formats, and the annotated images as JPG.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GabrielEdradan%2FHMC-Grad
PURL: pkg:github/GabrielEdradan/HMC-Grad
Stars: 2
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 5.72 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 10 months ago
Pushed at: over 1 year ago
Last synced at: 5 months ago
Topics: cnn-pytorch, computer-vision, deep-learning, handwritten-character-recognition, notebooks, open-source, opencv, python, pytorch