# tensorflow-ocr

**Repository Path**: darkyu/tensorflow-ocr

## Basic Information

- **Project Name**: tensorflow-ocr
- **Description**:  OCR using tensorflow with attention
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-05-28
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# tensorflow-ocr
🖺 OCR using tensorflow with attention, batteries included

# Installation
```
git clone --recursive http://github.com/pannous/tensorflow-ocr
# sudo apt install python3-pip
cd tensorflow-ocr
pip install -r requirements.txt
```

# Evaluation

You can detect the text under your mouse pointer with 
`mouse_prediction.py`

it takes 10 seconds to load the network and startup, then it should return multiple results per second
. 

`text_recognizer.py`

To combine our approach with real world images we forked the [EAST](https://github.com/quasiris/EAST) boundary boxing.

# Customized training

To get started with a minimal example similar to the famous MNIST try
`./train_letters.py` ;
It automatically generates letters for all different font types from your computer in all different shapes and trains on it.

For the full model used in the demo start `./train.py`