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Convolutional Connectionist-temporal-classification with Recurrent network(CCR)

  • This a project used to do Optical Character Recognition(ocr).

Train & Test

  • You can found more information of how to do in Readme.md of "CCR/CCR"

Deploy

Celery

  • Celery is an asynchronous task manager.
  • Celery support following message proxy(or called "Broker""): RabbitMQ, Redis, MongoDB, Beanstalk, SQLAlchemy, Zookeeper
  • RabbitMQ is the most suggested, and second is Redis. Due to RabbitMQ is more difficult to build, so we use Redis as Broker
# Install celery with dependency package
$ pip install "celery[librabbitmq,redis,msgpack]"
  • You can start your task manager by the following command:
$ celery worker -A celery_worker.celery -l INFO

Redis

  • Install Redis for Celery
$ wget http://download.redis.io/redis-stable.tar.gz
$ tar xvzf redis-stable.tar.gz
$ cd redis-stable
$ make
$ sudo apt-get install tcl8.5-dev
$ make test
$ sudo apt install redis-server

Gunicorn

  • Gunicorn is a web server.
$ sudo apt install gunicorn
$ pip install gunicorn
$ pip install gevent

After installed, start your server by running:

$ gunicorn manage:app -c gc_config.py
  • File gc_config is used to set parameters for Gunicorn. Format of gc_config is listed as following:
bind = ":5001"
workers = 4
worker_class = "gevent"
errorlog = '-'
loglevel = "info"

Send a request to test server

  • Not that This project only doing ocr without any character detect, so you can only send an image focus on target word.
  • Data Format
{
	"b64_images": ["YOUR/BASE64/ENCODED/IMAGE/STRING"]
}

Using Postman

Using Command Line

curl -X POST --data YOUR_DATA http://localhost:5001/api/v0.0.0/plate-recognition/CCR

Result

  • Server will return {"state": "task accepted"}, if request successful, and you will get result of recognition in celery.