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Implementing methods for text detection in natural scene images.

Python 61.18% Jupyter Notebook 38.82%

text-detection's Introduction

Text Detection in Natural Scene Images

[CS517] Digital Image Processing & Analysis

Team Details

Ekansh Mahendru	2018CSB1087
Hansin Ahuja	2018CSB1094

Note

  • IMPORTANT: Due to submission size constraint, we could not place the model weights in our submission. To test our codes, please download both files from this link: https://drive.google.com/drive/folders/1usbxrYInWK9GN-yPzjaNf1dzT1QkgRpq?usp=sharing, and place it in Overall Pipeline. Then you can follow the sample commands in that directory's README to test our code.
  • Our project has been described in detail in presentation.pptx. This presentation has audio recordings as well. Please view using Microsoft Office.
  • The trained model weights have been removed from the CRNN and PixelLink directories to save memory. For individual functionality, copy:
    • Overall Pipeline/pixellink.h5 and place it in PixelLink/weights
    • Overall Pipeline/CRNN.h5 and place it in CRNN/model
  • Usage and a couple of sample commands have been provided in Overall Pipeline/README.md

text-detection's People

Contributors

hansinahuja avatar ekan5h avatar

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