Files
squoosh/codecs/resize/benchmark.js
Surma bf4d4b78cb Implement sRGB color conversion (#510)
* Add sRGB -> RGB conversion before resize

* Add clamping for color space conversions

* Clip for demultiplication as well

* Fixing linear <-> srgb conversion

* Update benchmark

* Decouple srgb calculations

* Generate lookup tables

* Update src/codecs/resize/options.tsx

* Defaulting on, renaming, removing redundant state
2019-03-12 14:09:35 +00:00

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// THIS IS NOT A NODE SCRIPT
// This is a d8 script. Please install jsvu[1] and install v8.
// Then run `npm run --silent benchmark`.
// [1]: https://github.com/GoogleChromeLabs/jsvu
self = global = this;
load("./pkg/resize.js");
async function init() {
// Adjustable constants.
const inputDimensions = 2000;
const outputDimensions = 1500;
const algorithm = 3; // Lanczos
const iterations = new Array(100);
// Constants. Dont change.
const imageByteSize = inputDimensions * inputDimensions * 4;
const imageBuffer = new Uint8ClampedArray(imageByteSize);
const module = await WebAssembly.compile(readbuffer("./pkg/resize_bg.wasm"));
await wasm_bindgen(module);
[[false, false], [true, false], [false, true], [true, true]].forEach(
opts => {
print(`\npremultiplication: ${opts[0]}`);
print(`color space conversion: ${opts[1]}`);
print(`==============================`);
for (let i = 0; i < 100; i++) {
const start = Date.now();
wasm_bindgen.resize(
imageBuffer,
inputDimensions,
inputDimensions,
outputDimensions,
outputDimensions,
algorithm,
...opts
);
iterations[i] = Date.now() - start;
}
const average =
iterations.reduce((sum, c) => sum + c) / iterations.length;
const stddev = Math.sqrt(
iterations
.map(i => Math.pow(i - average, 2))
.reduce((sum, c) => sum + c) / iterations.length
);
print(`n = ${iterations.length}`);
print(`Average: ${average}`);
print(`StdDev: ${stddev}`);
}
);
}
init().catch(e => console.error(e, e.stack));