Tag: TensorFlow

Train a CNN model to identify captcha code with TensorFlow and Keras

Machine LearningProgramming LanguagesPython
Andy Wu

In the last post (Automatically fill in captcha code in course selection system), we exploited the “Play Audio” button function to obtain the captcha code in the course selection system from my college. Today, we will be going through another approch to identify the captcha code by training a CNN model with TensorFlow and Keras.

A captcha code from the course selection system.

 

Install Needed Packages

Below are the environment and package versions that I perform the training in this post.

MacOS 10.14.6
Python: 3.7.3
numpy: 1.18.0
scikit-learn: 0.22
TensorFlow: 2.0.0
Pillow: 6.2.1

If lacking any of these packages, just simply install them with the following commands.

NumPy: pip install numpy
scikit-learn: pip install scikit-learn
TensorFlow: pip install tensorflow
Pillow: pip install Pillow

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Docker Compose file (TensorFlow)

Docker
Andy Wu

TensorFlow has supported Docker containers that could save the time from installing lots of stuffs on our operating system and messing around. Besides typing long Docker commands each time in the terminal for launching the container, using Docker Compose file is another easy way to achieve it.

To begin with, create a new file called TensorFlow.yml and paste everything below into that file. Freely to change the path in volumes in accordance with our computer’s path.

 

version: '3.1'

services:

	TernsorFlow:
		container_name: TensorFlow
		image: tensorflow/tensorflow:latest-py3
		restart: unless-stopped
		network_mode: "bridge"
		ports:
			- 6006:6006
		tty: true
		command: /bin/bash
		volumes:
			- /Users/AndyWu/Documents/Docker/TensorFlow:/TensorFlow

 
To create and start a new TensorFlow container from docker compose file, run the command below.

docker-compose -f TensorFlow.yml up -d

Now our newly created container should start running. Execute the bash shell in the container and interact with the pseudo-TTY by providing the options-it.

docker exec -it TensorFlow bash

We are now able to run our TensorFlow codes with python in the container:)

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