forked from external-repos/squoosh
Add auto optimizer
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67
cli/src/auto-optimizer.js
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67
cli/src/auto-optimizer.js
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import { instantiateEmscriptenWasm } from "./emscripten-utils.js";
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import visdif from "../../codecs/visdif/visdif.js";
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import visdifWasm from "asset-url:../../codecs/visdif/visdif.wasm";
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// `measure` is a (async) function that takes exactly one numeric parameter and
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// returns a value. The function is assumed to be monotonic (an increase in `parameter`
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// will result in an increase in the return value. The function uses binary search
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// to find `parameter` such that `measure` returns `measureGoal`, within an error
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// of `epsilon`. It will use at most `maxRounds` attempts.
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export async function binarySearch(
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measureGoal,
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measure,
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{ min = 0, max = 100, epsilon = 0.1, maxRounds = 8 } = {}
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) {
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let parameter = (max - min) / 2 + min;
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let delta = (max - min) / 4;
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let value;
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let round = 0;
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do {
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value = await measure(parameter);
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if (value > measureGoal) {
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parameter -= delta;
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} else if (value < measureGoal) {
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parameter += delta;
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}
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delta /= 2;
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round++;
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} while (Math.abs(value - measureGoal) > epsilon && round < maxRounds);
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return { parameter, round, value };
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}
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export async function autoOptimize(
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bitmapIn,
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encode,
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decode,
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{ butteraugliDistanceGoal = 1.4, ...otherOpts } = {}
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) {
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const { VisDiff } = await instantiateEmscriptenWasm(visdif, visdifWasm);
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const comparator = new VisDiff(
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bitmapIn.data,
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bitmapIn.width,
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bitmapIn.height
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);
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let bitmapOut;
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let binaryOut;
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// Increasing quality means _decrease_ in Butteraugli distance.
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// `binarySearch` assumes that increasing `parameter` will
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// increase the metric value. So multipliy Butteraugli values by -1.
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const { parameter } = await binarySearch(
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-1 * butteraugliDistanceGoal,
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async quality => {
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binaryOut = await encode(bitmapIn, quality);
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bitmapOut = await decode(binaryOut);
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return -1 * comparator.distance(bitmapOut.data);
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},
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otherOpts
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);
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comparator.delete();
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return {
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bitmap: bitmapOut,
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binary: binaryOut,
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quality: parameter
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};
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}
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