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Biomedical Image Analysis in Python | DataCamp
The field of biomedical imaging has exploded in recent years - but for the uninitiated, even loading data can be a challenge! In this introductory course, you'll learn the fundamentals of image analysis using NumPy, SciPy, and Matplotlib. You'll navigate through a whole-body CT scan, segment a cardiac MRI time series, and determine whether Alzheimer’s disease changes brain structure. Even if you have never worked with images before, you will finish the course with a solid toolkit for entering this dynamic field.
python  datacamp  tutorial  course  online  imageprocessing  numpy  scipy 
2 days ago by cyberchucktx
Snowy
Snowy is a tiny module for manipulating and generating images.

Small and flat API (free functions only).
Written purely in Python 3.
Accelerated with numba.
Configurable boundaries (wrap modes).
Snowy does not define a special class for images. Instead, images are always three-dimensional numpy arrays in row-major order.

For example, RGB images have shape [height,width,3] and grayscale images have shape [height,width,1]. Snowy provides some utility functions that make it easy to work with other modules (see interop).
python  imageProcessing 
16 days ago by euler
A.I. Gigapixel™ – Topaz Labs
What is A.I.Gigapixel™?

A.I.Gigapixel™ is the first and only desktop application to use the power of artificial intelligence to enlarge your images while adding natural details for an amazing result.
Using deep learning technology, A.I.Gigapixel™ can enlarge images and fill in details that other resizing products leave out.
These traditional methods produce images that are blurry, unrealistically painterly, and lack the details that are present in real high resolution images.
photography  imageProcessing 
18 days ago by euler
ImageNet: image dataset organized according to the WordNet hierarchy
ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators, students and all of you who share our passion for pictures.
data  ai  datasets  images  deeplearning  imageprocessing  recognition  opensource 
5 weeks ago by cyberchucktx
GitHub - runkids/Imagvue: Imagvue is a image processing component for Vue.js
Imagvue provides basic image processing props(size,blur,contrast,grayscale, etc.).

Support image lazy loading.

All Attributes can bind with data
webdev  imageProcessing  vue.js 
6 weeks ago by euler
Differentiable Image Parameterizations
Neural networks trained to classify images have a remarkable — and surprising! — capacity to generate images. Techniques such as DeepDream , style transfer, and feature visualization leverage this capacity as a powerful tool for exploring the inner workings of neural networks, and to fuel a small artistic movement based on neural art.

All these techniques work in roughly the same way. Neural networks used in computer vision have a rich internal representation of the images they look at. We can use this representation to describe the properties we want an image to have (e.g. style), and then optimize the input image to have those properties. This kind of optimization is possible because the networks are differentiable with respect to their inputs: we can slightly tweak the image to better fit the desired properties, and then iteratively apply such tweaks in gradient descent.
graphics  imageProcessing  Neuroscience  ML 
8 weeks ago by euler
Converting Images To WebP — Smashing Magazine
In this excerpt from his eBook “The WebP Manual,” developer and author Jeremy Wagner will show you the many ways you can convert your existing images to the WebP format.
webp  imageprocessing  compression 
8 weeks ago by andreaskoch
How Image Optimisation Decreased my Website's Page Weight by 62%
Compressing images is all about reducing file size while maintaining an acceptable level of visual quality. To compress the images on my site, imagemin was my tool of choice.

To use imagemin, make sure you have Node.js installed then open a terminal window, cd into your project’s folder and run the following command:
compression  imageProcessing  webdev  node.js 
9 weeks ago by wesleythill
How Image Optimisation Decreased my Website's Page Weight by 62%
Compressing images is all about reducing file size while maintaining an acceptable level of visual quality. To compress the images on my site, imagemin was my tool of choice.

To use imagemin, make sure you have Node.js installed then open a terminal window, cd into your project’s folder and run the following command:
compression  imageProcessing  webdev  node.js 
9 weeks ago by euler
image manipulation - Create drop shadow effects in Imagemagick - Stack Overflow
<code class="language-bash">convert input.jpeg -bordercolor white -border 13 \( +clone -background black -shadow 80x3+2+2 \) +swap -background white -layers merge +repage output.jpg
</code>

As a gist: https://gist.github.com/ernstki/742a2140047e74804572d7e3e95a80d4
imagemagick  dropshadow  imageprocessing  solution  commandline  scripting  fuckina 
10 weeks ago by kme
Add Shadow and Border to Images with ImageMagick | bemoko's blog on mobile
<code class="language-bash">image-shadow () {
out=${1%.*}-shadow.${1#*.}
in=$1
echo "Converted file : $out"
if [ ! -z $2 ] ; then
convert $in -frame $2 $out
in=$out
fi
convert $in \( +clone -background black -shadow 60x5+10+10 \) \
+swap -background white -layers merge +repage $out
}</code>
magemagick  imageprocessing  dropshadow  imagemanipulation  scripting  solution  fuckina 
10 weeks ago by kme
DropShadow App Made With Automator and ImageMagick - Podfeet Podcasts
This is probably easier than trying to do it with Script-Fu, which I gave up on after about two hours in the (Guile) tutorial.
imagemagick  imageprocessing  dropshadow  imagemanipulation  automator  mac  osx  commandline  solution 
10 weeks ago by kme

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