Tag: Image Processing (13)

• Change the Background of Any Image with 5 Lines of Code - Nov 9, 2020.
  
  Blur, color, grayscale and change the background of any image with a picture using PixelLib.

  Tags: Computer Vision, Image Processing, Machine Learning, Python, Segmentation

• Auto Rotate Images Using Deep Learning - Jul 14, 2020.
  
  Follow these 5 simple steps to auto rotate images and get the right angle in human photos using computer vision.

  Tags: Computer Vision, Deep Learning, Face Detection, Image Processing

• Easy Image Dataset Augmentation with TensorFlow - Feb 13, 2020.
  
  What can we do when we don't have a substantial amount of varied training data? This is a quick intro to using data augmentation in TensorFlow to perform in-memory image transformations during model training to help overcome this data impediment.

  Tags: Data Preprocessing, Image Processing, Image Recognition, Python, TensorFlow

• How to Convert a Picture to Numbers - Jan 6, 2020.
  
  Reducing images to numbers makes them amenable to computation. Let's take a look at the why and the how using Python and Numpy.

  Tags: Computer Vision, Image Processing, numpy, Python

• How to Convert an RGB Image to Grayscale - Dec 18, 2019.
  
  This post is about working with a mixture of color and grayscale images and needing to transform them into a uniform format - all grayscale. We'll be working in Python using the Pillow, Numpy, and Matplotlib packages.

  Tags: Computer Vision, Image Processing, Python

• Monash University: Lecturers / Senior Lecturers – Digital Health, Image Analytics [Melbourne, Australia] - Jul 19, 2019.
  
  Monash is seeking 2 x Lecturer / Senior Lecturer within the space of Digital Health - Image Analytics. Digital Health is a fascinating cross-university, cross-faculty, multidisciplinary space with enormous practical real-world and societal benefits that draws from and contributes to a multiplicity of research areas.

  Tags: Australia, Health, Image Processing, Lecturer, Melbourne, Monash University

• Computer Vision for Beginners: Part 1 - Jul 17, 2019.
  
  Image processing is performing some operations on images to get an intended manipulation. Think about what we do when we start a new data analysis. We do some data preprocessing and feature engineering. It’s the same with image processing.

  Tags: Computer Vision, Deep Learning, Image Processing, Python

• End-to-End Machine Learning: Making videos from images - May 23, 2019.
  
  Video is a natural way for us to understand three dimensional and time varying information. Read this short post on how to achieve the creation of videos from still images.

  Tags: Data Preparation, Image Processing, Machine Learning

• Preprocessing for Deep Learning: From covariance matrix to image whitening - Oct 10, 2018.
  
  The goal of this post/notebook is to go from the basics of data preprocessing to modern techniques used in deep learning. My point is that we can use code (Python/Numpy etc.) to better understand abstract mathematical notions!

  Pages: 1 2 3

  Tags: Data Preprocessing, Deep Learning, Image Processing, Mathematics

• Basic Image Data Analysis Using Python – Part 4 - Oct 5, 2018.
  
  Accessing the internal component of digital images using Python packages helps the user understand its properties, as well as its nature.

  Tags: Computer Vision, Image Processing, Python

• Basic Image Data Analysis Using Python – Part 3 - Sep 28, 2018.
  
  Accessing the internal component of digital images using Python packages becomes more convenient to help understand its properties, as well as nature.

  Tags: Computer Vision, Image Processing, numpy, Python

• Basic Image Processing in Python, Part 2 - Jul 17, 2018.
  
  We explain how to easily access and manipulate the internal components of digital images using Python and give examples from satellite image processing.

  Tags: Computer Vision, Image Processing, numpy, Python

• Basic Image Data Analysis Using Numpy and OpenCV – Part 1 - Jul 10, 2018.
  
  Accessing the internal component of digital images using Python packages becomes more convenient to understand its properties as well as nature.

  Tags: Computer Vision, Image Processing, numpy, OpenCV, Python