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add demos to README.md

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This commit is contained in:
Abe Pazos
2025-10-01 18:55:31 +00:00
parent 0c2d34784f
commit 58c65ab393
2 changed files with 30 additions and 9 deletions
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21
orx-hash-grid/README.md
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@@ -75,16 +75,19 @@ The program performs the following steps:
- Filters the generated points to enforce a minimum distance of 20.0 units between them.
- Visualizes the filtered points as circles with a radius of 10.0 units on the canvas.
The `filter` method is provided by `orx-hash-grid`.
![DemoFilter01Kt](https://raw.githubusercontent.com/openrndr/orx/media/orx-hash-grid/images/DemoFilter01Kt.png)
[source code](src/jvmDemo/kotlin/DemoFilter01.kt)
### DemoFilter3D01
This demo sets up and renders a 3D visualization of filtered random points displayed as small spheres.
Demonstrates how to use a 3D hash-grid `filter` operation to remove points from a random 3D point-collection
that are too close to each other. The resulting points are displayed as small spheres.
The program performs the following key steps:
- Generates 10,000 random 3D points within a ring defined by a minimum and maximum radius.
- Generates 10,000 random 3D points located between a minimum and maximum radius.
- Filters the points to ensure a minimum distance between any two points using a spatial hash grid.
- Creates a small sphere mesh that will be instanced for each filtered point.
- Sets up an orbital camera to allow viewing the 3D scene interactively.
@@ -96,13 +99,15 @@ The program performs the following key steps:
### DemoHashGrid01
This demo sets up an interactive graphics application with a configurable
display window and visualization logic. It uses a `HashGrid` to manage points
in a 2D space and randomly generates points within the drawable area. These
points are then inserted into the grid if they satisfy certain spatial conditions.
This demo creates a `HashGrid` to manage points in a 2D space.
Notice the desired cell size in the HashGrid constructor.
On every animation frame, it attempts to insert 100 random points into the HashGrid.
When a HashGrid cell is free, a point is inserted.
The visual output includes:
- Rectangles representing the bounds of the cells in the grid.
- Circles representing the generated points.
- Rectangles representing the bounds of the occupied cells in the grid.
- Circles representing the generated random points.
![DemoHashGrid01Kt](https://raw.githubusercontent.com/openrndr/orx/media/orx-hash-grid/images/DemoHashGrid01Kt.png)

18
orx-image-fit/README.md
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@@ -72,7 +72,15 @@ fun main() = application {
## Demos
### DemoImageFit01
Tests `drawer.imageFit()` with all FitMethods for portrait and landscape images.
This program uses `drawer.imageFit()` to draw images using nested grid layout.
The main grid features 4 columns for the `Cover`, `Contain`, `Fill` and `None` fit methods,
and two rows for portrait and landscape images.
Each of those 8 cells feature a 3x3 grid, with cells combining `left`, `center` and `right` alignment
with `top`, `center` and `bottom` alignment.
The image drawn in each cell is a simple image with a white background and two touching circles:
a pink one and a gray one. In some of the cells part of this image is cropped out (due to the fit method used).
In other cells the image does not fully cover the available area, revealing a dark gray background.
![DemoImageFit01Kt](https://raw.githubusercontent.com/openrndr/orx/media/orx-image-fit/images/DemoImageFit01Kt.png)
@@ -80,7 +88,15 @@ Tests `drawer.imageFit()` with all FitMethods for portrait and landscape images.
### DemoImageFitSub01
Demonstrates the `imageFitSub()` method, which allows specifying not only a target `Rectangle`,
but also a source `Rectangle`, which is used to set the area of the original image we want to fit
into the target.
The program also demonstrates the `Rectangle.uniformSub` method, which returns a random sub-rectangle
taking into consideration the minimum and maximum width and height arguments.
Notice the trick used to generate unique random results changing only once per second by using
the current seconds as an integer seed.
![DemoImageFitSub01Kt](https://raw.githubusercontent.com/openrndr/orx/media/orx-image-fit/images/DemoImageFitSub01Kt.png)