docs: Background image segmentation with fully TypeGPU inference (#2513)

* v1

* refactor and pack

* clean

* better post processing

* const

* refactor

* better place

* license

* cursed invisible video

* bump coolness and add thumb

* address comments

Author: reczkok

apps/typegpu-docs/package.json

@@ -63,6 +63,7 @@
     "three": "catalog:example",
     "tinybench": "^3.1.0",
     "tsover-monaco-editor": "^0.55.1",
+    "typed-binary": "^4.3.3",
     "typedoc": "^0.28.17",
     "typedoc-plugin-markdown": "4.10.0",
     "typegpu": "workspace:*",

apps/typegpu-docs/public/assets/selfie-segmentation/model.txt

@@ -0,0 +1,212 @@
+This folder contains selfie_segmenter.ssgbin, a repackaged copy of Google's
+MediaPipe Selfie Segmentation model used by the TypeGPU docs demo.
+
+Original model: MediaPipe Selfie Segmentation, general 256x256 model.
+
+Model card:
+https://storage.googleapis.com/mediapipe-assets/Model%20Card%20MediaPipe%20Selfie%20Segmentation.pdf
+
+The model is licensed under Apache License 2.0. The full license text is
+included below.
+
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apps/typegpu-docs/public/assets/selfie-segmentation/selfie_segmenter.ssgbin

@@ -125,6 +125,7 @@ ${example.htmlFile.content}
       '@loaders.gl/core': typegpuDocsPackageJson.dependencies['@loaders.gl/core'],
       '@loaders.gl/obj': typegpuDocsPackageJson.dependencies['@loaders.gl/obj'],
       '@loaders.gl/gltf': typegpuDocsPackageJson.dependencies['@loaders.gl/gltf'],
+      'typed-binary': typegpuDocsPackageJson.dependencies['typed-binary'],
       three: pnpmWorkspaceYaml.catalogs.example.three,
       '@typegpu/noise': typegpuNoisePackageJson.version,
       '@typegpu/color': typegpuColorPackageJson.version,

apps/typegpu-docs/src/components/stackblitz/openInStackBlitz.ts

@@ -64,12 +64,15 @@ const metaFiles = R.pipe(
 );
 
 // Files that were generated by stripping away use of overloaded operators in .ts files
-// './<category>/<example>/<file>.tsnotover.tsx?'
-const exampleTsnotoverFiles = import.meta.glob(['./*/*/*.tsnotover.ts', './*/*/*.tsnotover.tsx'], {
-  query: 'raw',
-  eager: true,
-  import: 'default',
-}) as Record<string, string>;
+// './<category>/<example>/[<subdir>/]<file>.tsnotover.tsx?'
+const exampleTsnotoverFiles = import.meta.glob(
+  ['./*/**/*.tsnotover.ts', './*/**/*.tsnotover.tsx'],
+  {
+    query: 'raw',
+    eager: true,
+    import: 'default',
+  },
+) as Record<string, string>;
 
 function replaceExt(key: string, newExt: string) {
   return `${key.substring(0, key.length - pathe.extname(key).length)}${newExt}`;
@@ -96,7 +99,7 @@ const exampleTsFiles = R.pipe(
 );
 
 const tsFilesImportFunctions = R.pipe(
-  import.meta.glob(['./**/index.ts', './**/index.tsx']) as Record<string, () => Promise<unknown>>,
+  import.meta.glob(['./*/*/index.ts', './*/*/index.tsx']) as Record<string, () => Promise<unknown>>,
   R.mapKeys(pathToExampleKey),
 );
 

apps/typegpu-docs/src/examples/exampleContent.ts

@@ -0,0 +1,28 @@
+import { d } from 'typegpu';
+
+export interface VideoFrameCrop {
+  sourceSize: [number, number];
+  cropOrigin: [number, number];
+  cropSize: [number, number];
+}
+
+export const FrameCropParams = d.struct({
+  sourceSize: d.vec2u,
+  cropOrigin: d.vec2f,
+  cropSize: d.vec2f,
+});
+
+export const initialFrameCropParams: VideoFrameCrop = {
+  sourceSize: [1, 1],
+  cropOrigin: [0, 0],
+  cropSize: [1, 1],
+};
+
+export function squareCrop(sourceWidth: number, sourceHeight: number): VideoFrameCrop {
+  const size = Math.min(sourceWidth, sourceHeight);
+  return {
+    sourceSize: [sourceWidth, sourceHeight],
+    cropOrigin: [Math.floor((sourceWidth - size) / 2), Math.floor((sourceHeight - size) / 2)],
+    cropSize: [size, size],
+  };
+}

apps/typegpu-docs/src/examples/image-processing/selfie-segmentation/frame.ts

@@ -0,0 +1,15 @@
+<canvas></canvas>
+<video autoplay playsinline></video>
+
+<style>
+  /* Keep the video "painted" so Safari continues decoding frames. */
+  video {
+    position: absolute;
+    top: 0;
+    left: 0;
+    width: 1px;
+    height: 1px;
+    opacity: 0;
+    pointer-events: none;
+  }
+</style>