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