Mosaic is a high-level neural networks model, written in Python and capable of running on top of keras with Tensorflow backend .

Now, It was developed with a focus on porngraphic detection.

Use Mosaic Models if you need a deep learning Model that:

• Allows for easy and fast detecting porngraphic.
• Design and Fine-tune yourself Network (Mosaic-based).
• Runs seamlessly on CPU and GPU.

Mosaic is compatible with: Keras 2.0.3 Tensorflow 1.1.0 and Python 2.7.

• Easy Usage. Just load the model and weights to predict a image.

• Work with Python.

Download the project and run command(Please download weights file from http://pan.baidu.com/s/1i4POGXB to ./model.):

python mosaic_porngraphic_cnn_demo.py the_path_of_image

the_path_of_image is the input image to be detected.

Output is The PORNGRAPHIC probability.

Run:

python mosaic_porngraphic_cnn_demo.py ./data/test/22.jpg

Output:

Mosaic: detect porngraghic
=====================================

loading weights..........
load OK!

Try to Predict input images:
=====================================
Input image is: ./data/test/22.jpg
The PORNGRAPHIC probability is: 0.000% 

Also, the model gives JSON Output:

following are return values:
{"results_output": {"porngraphic": "2.15399e-08"}, "image_file_output": "null", "results_file_output": "null"}

Mosaic Model based on Xception in keras:

• Input: [128,128,3]
• Entry Flow: [8,8,728]
• Middle Flow(repeated 8 times): [8,8,728]
• Exit Flow: [4,4,2048]
• Output FC: 1

The accuracy in test datasets is up to 96%.