• Deep CNN-Based Blind Image Quality Predictor in Python

    A step by step guide to implement the Deep CNN-Based Blind Image Quality Predictor (DIQA) in Python
    In this tutorial, I present a step by step guide to implement the Deep CNN-Based Blind Image Quality Predictor (DIQA) algorithm using TensorFlow 2.0 data pipelines and Keras functional API.

  • Image Quality Assessment: A Survey

    Description of the most recent methods for image quality assessment
    Description of the most recent methods for image quality assessment. A survey with the latest techniques and some of their theory is presented. A work in progress tensorflow 2.0 notebook is included.

  • Improving Image Quality in Property Finder

    Description of my experience in Property Finder to foster users to improve the image quality of their content.
    Description of my experience in Property Finder to foster users to improve the image quality of their content.

  • Setting two GPU in your laptop: eGPU in Ubuntu 18.04 LTS

    Step by Step to configure an eGPU in Ubuntu 18.04 LTS
    Some months ago, I decided to buy a new laptop with enough power to crunch data. At that time, I also had a desktop with a GTX 1070, but I stopped using it because of the convenience of my new…