Tomo is a collection of fast image processing effects for Android. Its main goal is to generate dynamic content for aesthetically pleasing apps.
The motivation behind this project can be read in this blog post.
Tomo is built on top of RenderScript (RS). Google is deprecating RS starting with Android 12. Given that, I don't recommend using Tomo on new projects.
Let me know if you would like to see Tomo for Vulkan and Compose though.
In this demo app we showcase a cool adaptive background being generated using the content of the screen:
Add the snippet below in your root build.gradle
at the end of repositories:
allprojects {
repositories {
...
maven { url 'https://jitpack.io' }
}
}
Then, add the dependency to your module:
dependencies {
compile 'com.github.AllanHasegawa:Tomo:x.y.z'
}
Initialize the library in your Application
class:
class MyApp : Application {
override fun onCreate() {
Tomo.initialize(this)
...
}
}
Now you're ready to either apply the effects over Bitmap
s or ImageView
s:
val myBitmap: Bitmap = ...
val bitmapProcessed = Tomo.applyAdaptiveBackgroundGenerator(myBitmap, darkTheme = true)
val myImageView: ImageView = ...
Tomo.applyAdaptiveBackgroundGenerator(myImageView, darkTheme = true)
Source Image | Adaptive Background Generator | |
---|---|---|
Dark Theme | Light Theme | |
Tomo comes equipped with a list of image transformations that can be arranged in any order to build cool custom effects.
To transform a Bitmap
, call Tomo::applyCustomTransformation()
:
val newBitmap = Tomo.applyCustomTransformation(oldBitmap) {
// Scale to 1/10 of its size
resize(
newWidth = initialSize.width / 10,
newHeight = initialSize.height / 10
)
// Blur it
blur(radius = 25f)
// Clamp the value (from HSV)
valueClamp(
lowValue = 0.05f,
highValue = 0.3f,
saturationMultiplier = 1.3f,
saturationLowValue = 0f,
saturationHighValue = 1f
)
// Apply a noise overlay
grayNoise()
}
resize
, as the name implies, lets you resize the bitmap.
blur
applies a gaussian blur. It's maximum radius is 25f
.
valueClamp
clamps the value and the saturation of an image.
It can also scale the saturation.
grayNoise
applies a gray noise over the image.
rgbNoise
assigns a random, close, RGB color to each pixel.
Copyright 2019 Allan Yoshio Hasegawa
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.