captcha_solver

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Капча fssp.gov.ru

captcha_solver 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# Captcha Solver 
This module built to simplify the process of training NN to solve text captcha. (Cyrillic captcha is also available)

## Using of pre-existing model for captcha from fssp.gov.ru

Installation of captcha-solver api with pre-trained model for captcha from fssp.gov.ru could be as simple as:

```
git clone git@github.com:punkerpunker/captcha_solver.git
cd captcha_solver
docker-compose up -d --build captcha-solver
```
This command registers API on port 2103.

Model works with images in base64 format. You can pass an image to API in a query argument. 
Example:
```python
import requests
from matplotlib import pyplot as plt

url = 'http://0.0.0.0:2103/solve?'

img_bytes = requests.get('https://is.fssp.gov.ru/refresh_visual_captcha/').json()['image'].split(',')[1]

params = {'image': img_bytes}
resp = requests.get(url, params=params)

resp.json()

>>> 'л9м45'
```

Full example can be founded in test_app.ipynb:

![alt text](https://github.com/punkerpunker/captcha_solver/blob/master/example.jpg)

## Train model on external data

Model training is pretty simple. 
You need to create (or find) markup and store it in __data/captcha_train__ folder. Each image must be in a __.png__ format and have its __solution written in name__.

After you have your markup in __data/captcha_train__, run:

```
docker-compose up --build captcha-trainer
```

After its done, your model will be located in __model__ folder.
Then just run API container as usual:

```
docker-compose up -d --build captcha-solver
```

And then you can use Captcha Solver with model trained on your training dataset.

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