Skip to content

Navigation Menu

Explore
By company size
By use case
By industry
View all solutions
Topics
- AI
- DevOps
- Security
- Software Development
- View all
Explore
- GitHub Sponsors
  Fund open source developers
- The ReadME Project
  GitHub community articles
Repositories
- Enterprise platform
  AI-powered developer platform
Available add-ons
Pricing

Search code, repositories, users, issues, pull requests...

Search

Clear

Search syntax tips

Provide feedback

We read every piece of feedback, and take your input very seriously.

Include my email address so I can be contacted

Saved searches

Use saved searches to filter your results more quickly

Name

Query

To see all available qualifiers, see our documentation.

You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session.

Dismiss alert

ihdia / sanskrit-ocr Public

Notifications You must be signed in to change notification settings
Fork 23
Star 44

Code
Issues 1
Pull requests 41
Actions
Projects
Wiki
Security
Insights

Additional navigation options

Code
Issues
Pull requests
Actions
Projects
Wiki
Security
Insights

Home

Jump to bottom

Agam Dwivedi edited this page May 26, 2020 · 3 revisions

Welcome to the sanskrit-ocr wiki!

Table of contents

Synthetic Text Preparation
Converting to grayscale and png to jpg
Preparing train, test, and validation split
Model Setup
Plots
Predictions using our Trained models
PreTrained Models
Results

Toggle table of contents Pages 9

Home
- Table of contents
1. Synthetic Text Preparation
2. Converting to grayscale and png to jpg
3. Preparing Train, Test and Validation Split
4. Model Setup
5. Obtaining Plots
6. Predictions using our Trained models
7. PreTrained Models
8. Results

Clone this wiki locally

Footer

© 2024 GitHub, Inc.

Footer navigation

Terms
Privacy
Security
Status
Docs
Contact

You can’t perform that action at this time.