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feat(tiler-sharp): support uint32 and uint8 source datasets for color…
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…-ramp (#3391)

### Motivation

We are getting datasets that have other datatypes than float32 that need
to be expanded into 4 band RGBA so basemaps can render them.

A common type is a one band `uint8` which is generally a grey scale
dataset which can be directly band expanded from `0` to `r:0, g:0, b:0,
alpha: 255` and `255` to `r:255, g:255, b:255, alpha: 255`

### Modifications

Added support for `uint8` and `uint32` with the tiler piplines

TODO: it would be nicer to handle the datatypes more generically, to
hopefully avoid giant switch case statements, we should in theory be
able to trust that lerc gives us the correct typed array for instance.


### Verification

Added unit tests and rendered it locally 


![image](https://github.com/user-attachments/assets/f8788700-b9d3-470c-a7d7-9aabe8067f0f)
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blacha authored Jan 22, 2025
1 parent 46f8fb8 commit f316042
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Showing 5 changed files with 148 additions and 17 deletions.
Original file line number Diff line number Diff line change
@@ -0,0 +1,66 @@
import assert from 'node:assert';
import { describe, it } from 'node:test';

import { Tiff } from '@basemaps/shared';
import { CompositionTiff } from '@basemaps/tiler';

import { DecompressedInterleaved } from '../decompressor.js';
import { PipelineColorRamp } from '../pipeline.color.ramp.js';

const FakeTiff = { images: [{ noData: -9999, resolution: [0.1, -0.1] }] } as unknown as Tiff;
const FakeComp = { asset: FakeTiff, source: { x: 0, y: 0, imageId: 0 } } as CompositionTiff;

describe('pipeline.color-ramp', () => {
it('should color-ramp a float32 DEM with default ramp', async () => {
const bytes: DecompressedInterleaved = {
pixels: new Float32Array([-9999, 0, 100]),
depth: 'float32',
channels: 1,
width: 3,
height: 1,
};

const output = await PipelineColorRamp.process(FakeComp, bytes);

assert.equal(output.channels, 4);

assert.equal(String(output.pixels.slice(0, 4)), '0,0,0,0');
assert.equal(String(output.pixels.slice(4, 8)), '167,205,228,255');
});

it('should color-ramp a uint8', async () => {
const bytes: DecompressedInterleaved = {
pixels: new Uint8Array([0, 128, 255]),
depth: 'uint8',
channels: 1,
width: 3,
height: 1,
};

const output = await PipelineColorRamp.process(FakeComp, bytes);

assert.equal(output.channels, 4);

assert.equal(String(output.pixels.slice(0, 4)), '0,0,0,255');
assert.equal(String(output.pixels.slice(4, 8)), '128,128,128,255');
assert.equal(String(output.pixels.slice(8, 12)), '255,255,255,255');
});

it('should color-ramp a uint32', async () => {
const bytes: DecompressedInterleaved = {
pixels: new Uint32Array([0, 2 ** 31, 2 ** 32 - 1]),
depth: 'uint32',
channels: 1,
width: 3,
height: 1,
};

const output = await PipelineColorRamp.process(FakeComp, bytes);

assert.equal(output.channels, 4);

assert.equal(String(output.pixels.slice(0, 4)), '0,0,0,255');
assert.equal(String(output.pixels.slice(4, 8)), '128,128,128,255');
assert.equal(String(output.pixels.slice(8, 12)), '255,255,255,255');
});
});
38 changes: 28 additions & 10 deletions packages/tiler-sharp/src/pipeline/decompressor.lerc.ts
Original file line number Diff line number Diff line change
Expand Up @@ -9,23 +9,41 @@ export const LercDecompressor: Decompressor = {
await Lerc.load();
const bytes = Lerc.decode(tile);

if (bytes.pixelType !== 'F32') {
throw new Error(`Lerc: Invalid output pixelType:${bytes.pixelType} from:${source.source.url.href}`);
}
if (bytes.depthCount !== 1) {
throw new Error(`Lerc: Invalid output depthCount:${bytes.depthCount} from:${source.source.url.href}`);
}
if (bytes.pixels.length !== 1) {
throw new Error(`Lerc: Invalid output bandCount:${bytes.pixels.length} from:${source.source.url.href}`);
}

return {
pixels: bytes.pixels[0] as Float32Array,
width: bytes.width,
height: bytes.height,
channels: 1,
depth: 'float32',
};
switch (bytes.pixelType) {
case 'F32':
return {
pixels: bytes.pixels[0] as Float32Array,
width: bytes.width,
height: bytes.height,
channels: 1,
depth: 'float32',
};
case 'U32':
return {
pixels: bytes.pixels[0] as Uint32Array,
width: bytes.width,
height: bytes.height,
channels: 1,
depth: 'uint32',
};
case 'U8':
return {
pixels: bytes.pixels[0] as Uint8Array,
width: bytes.width,
height: bytes.height,
channels: 1,
depth: 'uint8',
};
}

throw new Error(`Lerc: Invalid output pixelType:${bytes.pixelType} from:${source.source.url.href}`);
},
};

Expand Down
13 changes: 12 additions & 1 deletion packages/tiler-sharp/src/pipeline/decompressor.ts
Original file line number Diff line number Diff line change
@@ -1,6 +1,14 @@
import { CompositionTiff } from '@basemaps/tiler';
import { Tiff } from '@cogeotiff/core';

export interface DecompressedInterleavedUint32 {
pixels: Uint32Array;
depth: 'uint32';
channels: number;
width: number;
height: number;
}

export interface DecompressedInterleavedFloat {
pixels: Float32Array;
depth: 'float32';
Expand All @@ -18,7 +26,10 @@ export interface DecompressedInterleavedUint8 {
}

// One buffer containing all bands
export type DecompressedInterleaved = DecompressedInterleavedFloat | DecompressedInterleavedUint8;
export type DecompressedInterleaved =
| DecompressedInterleavedFloat
| DecompressedInterleavedUint8
| DecompressedInterleavedUint32;

export interface Decompressor {
type: 'image/webp' | 'application/lerc';
Expand Down
8 changes: 7 additions & 1 deletion packages/tiler-sharp/src/pipeline/pipeline.color.ramp.ts
Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,11 @@ export class ColorRamp {
}
}

export const ramp = new ColorRamp(DefaultColorRamp);
export const Ramps: Record<DecompressedInterleaved['depth'], ColorRamp> = {
float32: new ColorRamp(DefaultColorRamp),
uint8: new ColorRamp(`0 0 0 0 255\n255 255 255 255 255`),
uint32: new ColorRamp(`0 0 0 0 255\n${2 ** 32 - 1} 255 255 255 255`),
};

export const PipelineColorRamp: Pipeline = {
type: 'color-ramp',
Expand All @@ -56,6 +60,8 @@ export const PipelineColorRamp: Pipeline = {
height: data.height,
};

const ramp = Ramps[data.depth];

const size = data.width * data.height;
const noData = comp.asset.images[0].noData;

Expand Down
40 changes: 35 additions & 5 deletions packages/tiler-sharp/src/pipeline/pipeline.resize.ts
Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,6 @@ export function cropResize(

// Currently very limited supported input parameters
if (data.channels !== 1) throw new Error('Unable to crop-resize more than one channel got:' + data.channels);
if (data.depth !== 'float32') throw new Error('Unable to crop-resize other than float32 got:' + data.depth);

// Area of the source data that needs to be resampled
const source = { x: 0, y: 0, width: data.width, height: data.height };
Expand Down Expand Up @@ -93,7 +92,8 @@ function resizeNearest(
const invScale = 1 / target.scale;

// Resample the input tile into the output tile using a nearest neighbor approach
const outputBuffer = new Float32Array(target.width * target.height);
const ret = getOutputBuffer(data, target);
const outputBuffer = ret.pixels;
for (let y = 0; y < target.height; y++) {
let sourceY = Math.round((y + 0.5) * invScale + source.y);
if (sourceY > maxHeight) sourceY = maxHeight;
Expand All @@ -106,7 +106,36 @@ function resizeNearest(
}
}

return { pixels: outputBuffer, width: target.width, height: target.height, depth: 'float32', channels: 1 };
return ret;
}

function getOutputBuffer(source: DecompressedInterleaved, target: Size): DecompressedInterleaved {
switch (source.depth) {
case 'uint8':
return {
pixels: new Uint8Array(target.width * target.height),
width: target.width,
height: target.height,
depth: source.depth,
channels: 1,
};
case 'float32':
return {
pixels: new Float32Array(target.width * target.height),
width: target.width,
height: target.height,
depth: source.depth,
channels: 1,
};
case 'uint32':
return {
pixels: new Uint32Array(target.width * target.height),
width: target.width,
height: target.height,
depth: source.depth,
channels: 1,
};
}
}

function resizeBilinear(
Expand All @@ -120,7 +149,8 @@ function resizeBilinear(

const maxWidth = Math.min(comp.source.width, data.width) - 2;
const maxHeight = Math.min(comp.source.height, data.height) - 2;
const outputBuffer = new Float32Array(target.width * target.height);
const ret = getOutputBuffer(data, target);
const outputBuffer = ret.pixels;
for (let y = 0; y < target.height; y++) {
const sourceY = Math.min((y + 0.5) * invScale + source.y, maxHeight);
const minY = Math.floor(sourceY);
Expand Down Expand Up @@ -167,5 +197,5 @@ function resizeBilinear(
}
}

return { pixels: outputBuffer, width: target.width, height: target.height, depth: 'float32', channels: 1 };
return ret;
}

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