init
python
This commit is contained in:
Andreas Wilms
368
PCSurvey/build/potree/workers/LASDecoderWorker.js
Normal file
368
PCSurvey/build/potree/workers/LASDecoderWorker.js
Normal file
@@ -0,0 +1,368 @@
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// let pointFormatReaders = {
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// 0: function(dv) {
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// return {
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// "position": [ dv.getInt32(0, true), dv.getInt32(4, true), dv.getInt32(8, true)],
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// "intensity": dv.getUint16(12, true),
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// "classification": dv.getUint8(16, true)
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// };
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// },
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// 1: function(dv) {
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// return {
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// "position": [ dv.getInt32(0, true), dv.getInt32(4, true), dv.getInt32(8, true)],
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// "intensity": dv.getUint16(12, true),
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// "classification": dv.getUint8(16, true)
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// };
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// },
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// 2: function(dv) {
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// return {
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// "position": [ dv.getInt32(0, true), dv.getInt32(4, true), dv.getInt32(8, true)],
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// "intensity": dv.getUint16(12, true),
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// "classification": dv.getUint8(16, true),
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// "color": [dv.getUint16(20, true), dv.getUint16(22, true), dv.getUint16(24, true)]
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// };
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// },
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// 3: function(dv) {
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// return {
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// "position": [ dv.getInt32(0, true), dv.getInt32(4, true), dv.getInt32(8, true)],
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// "intensity": dv.getUint16(12, true),
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// "classification": dv.getUint8(16, true),
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// "color": [dv.getUint16(28, true), dv.getUint16(30, true), dv.getUint16(32, true)]
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// };
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// }
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// };
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//
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//
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function readUsingTempArrays(event) {
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performance.mark("laslaz-start");
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let buffer = event.data.buffer;
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let numPoints = event.data.numPoints;
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let sourcePointSize = event.data.pointSize;
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let pointFormatID = event.data.pointFormatID;
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let scale = event.data.scale;
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let offset = event.data.offset;
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let temp = new ArrayBuffer(4);
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let tempUint8 = new Uint8Array(temp);
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let tempUint16 = new Uint16Array(temp);
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let tempInt32 = new Int32Array(temp);
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let sourceUint8 = new Uint8Array(buffer);
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let sourceView = new DataView(buffer);
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let targetPointSize = 20;
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let targetBuffer = new ArrayBuffer(numPoints * targetPointSize);
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let targetView = new DataView(targetBuffer);
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let tightBoundingBox = {
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min: [ Number.POSITIVE_INFINITY, Number.POSITIVE_INFINITY, Number.POSITIVE_INFINITY ],
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max: [ Number.NEGATIVE_INFINITY, Number.NEGATIVE_INFINITY, Number.NEGATIVE_INFINITY ]
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};
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let mean = [0, 0, 0];
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let pBuff = new ArrayBuffer(numPoints * 3 * 4);
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let cBuff = new ArrayBuffer(numPoints * 4);
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let iBuff = new ArrayBuffer(numPoints * 4);
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let clBuff = new ArrayBuffer(numPoints);
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let rnBuff = new ArrayBuffer(numPoints);
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let nrBuff = new ArrayBuffer(numPoints);
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let psBuff = new ArrayBuffer(numPoints * 2);
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let positions = new Float32Array(pBuff);
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let colors = new Uint8Array(cBuff);
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let intensities = new Float32Array(iBuff);
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let classifications = new Uint8Array(clBuff);
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let returnNumbers = new Uint8Array(rnBuff);
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let numberOfReturns = new Uint8Array(nrBuff);
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let pointSourceIDs = new Uint16Array(psBuff);
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for (let i = 0; i < numPoints; i++) {
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// POSITION
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tempUint8[0] = sourceUint8[i * sourcePointSize + 0];
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tempUint8[1] = sourceUint8[i * sourcePointSize + 1];
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tempUint8[2] = sourceUint8[i * sourcePointSize + 2];
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tempUint8[3] = sourceUint8[i * sourcePointSize + 3];
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let x = tempInt32[0];
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tempUint8[0] = sourceUint8[i * sourcePointSize + 4];
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tempUint8[1] = sourceUint8[i * sourcePointSize + 5];
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tempUint8[2] = sourceUint8[i * sourcePointSize + 6];
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tempUint8[3] = sourceUint8[i * sourcePointSize + 7];
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let y = tempInt32[0];
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tempUint8[0] = sourceUint8[i * sourcePointSize + 8];
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tempUint8[1] = sourceUint8[i * sourcePointSize + 9];
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tempUint8[2] = sourceUint8[i * sourcePointSize + 10];
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tempUint8[3] = sourceUint8[i * sourcePointSize + 11];
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let z = tempInt32[0];
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x = x * scale[0] + offset[0] - event.data.mins[0];
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y = y * scale[1] + offset[1] - event.data.mins[1];
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z = z * scale[2] + offset[2] - event.data.mins[2];
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positions[3 * i + 0] = x;
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positions[3 * i + 1] = y;
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positions[3 * i + 2] = z;
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mean[0] += x / numPoints;
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mean[1] += y / numPoints;
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mean[2] += z / numPoints;
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tightBoundingBox.min[0] = Math.min(tightBoundingBox.min[0], x);
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tightBoundingBox.min[1] = Math.min(tightBoundingBox.min[1], y);
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tightBoundingBox.min[2] = Math.min(tightBoundingBox.min[2], z);
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tightBoundingBox.max[0] = Math.max(tightBoundingBox.max[0], x);
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tightBoundingBox.max[1] = Math.max(tightBoundingBox.max[1], y);
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tightBoundingBox.max[2] = Math.max(tightBoundingBox.max[2], z);
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// INTENSITY
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tempUint8[0] = sourceUint8[i * sourcePointSize + 12];
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tempUint8[1] = sourceUint8[i * sourcePointSize + 13];
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let intensity = tempUint16[0];
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intensities[i] = intensity;
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// RETURN NUMBER, stored in the first 3 bits - 00000111
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let returnNumber = sourceUint8[i * sourcePointSize + 14] & 0b111;
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returnNumbers[i] = returnNumber;
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// NUMBER OF RETURNS, stored in 00111000
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numberOfReturns[i] = (sourceUint8[i * pointSize + 14] & 0b111000) >> 3;
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debugger;
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// CLASSIFICATION
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let classification = sourceUint8[i * sourcePointSize + 15];
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classifications[i] = classification;
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// POINT SOURCE ID
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tempUint8[0] = sourceUint8[i * sourcePointSize + 18];
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tempUint8[1] = sourceUint8[i * sourcePointSize + 19];
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let pointSourceID = tempUint16[0];
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pointSourceIDs[i] = pointSourceID;
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// COLOR, if available
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if (pointFormatID === 2) {
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tempUint8[0] = sourceUint8[i * sourcePointSize + 20];
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tempUint8[1] = sourceUint8[i * sourcePointSize + 21];
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let r = tempUint16[0];
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tempUint8[0] = sourceUint8[i * sourcePointSize + 22];
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tempUint8[1] = sourceUint8[i * sourcePointSize + 23];
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let g = tempUint16[0];
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tempUint8[0] = sourceUint8[i * sourcePointSize + 24];
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tempUint8[1] = sourceUint8[i * sourcePointSize + 25];
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let b = tempUint16[0];
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r = r / 256;
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g = g / 256;
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b = b / 256;
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colors[4 * i + 0] = r;
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colors[4 * i + 1] = g;
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colors[4 * i + 2] = b;
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}
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}
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let indices = new ArrayBuffer(numPoints * 4);
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let iIndices = new Uint32Array(indices);
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for (let i = 0; i < numPoints; i++) {
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iIndices[i] = i;
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}
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performance.mark("laslaz-end");
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performance.measure("laslaz", "laslaz-start", "laslaz-end");
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let measure = performance.getEntriesByType("measure")[0];
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let dpp = 1000 * measure.duration / numPoints;
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let debugMessage = `${measure.duration.toFixed(3)} ms, ${numPoints} points, ${dpp.toFixed(3)} micros / point`;
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console.log(debugMessage);
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performance.clearMarks();
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performance.clearMeasures();
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let message = {
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mean: mean,
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position: pBuff,
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color: cBuff,
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intensity: iBuff,
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classification: clBuff,
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returnNumber: rnBuff,
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numberOfReturns: nrBuff,
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pointSourceID: psBuff,
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tightBoundingBox: tightBoundingBox,
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indices: indices
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};
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let transferables = [
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message.position,
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message.color,
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message.intensity,
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message.classification,
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message.returnNumber,
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message.numberOfReturns,
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message.pointSourceID,
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message.indices];
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debugger;
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postMessage(message, transferables);
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};
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function readUsingDataView(event) {
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performance.mark("laslaz-start");
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let buffer = event.data.buffer;
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let numPoints = event.data.numPoints;
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let sourcePointSize = event.data.pointSize;
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let pointFormatID = event.data.pointFormatID;
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let scale = event.data.scale;
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let offset = event.data.offset;
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let sourceUint8 = new Uint8Array(buffer);
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let sourceView = new DataView(buffer);
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let targetPointSize = 40;
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let targetBuffer = new ArrayBuffer(numPoints * targetPointSize);
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let targetView = new DataView(targetBuffer);
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let tightBoundingBox = {
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min: [ Number.POSITIVE_INFINITY, Number.POSITIVE_INFINITY, Number.POSITIVE_INFINITY ],
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max: [ Number.NEGATIVE_INFINITY, Number.NEGATIVE_INFINITY, Number.NEGATIVE_INFINITY ]
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};
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let mean = [0, 0, 0];
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let pBuff = new ArrayBuffer(numPoints * 3 * 4);
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let cBuff = new ArrayBuffer(numPoints * 4);
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let iBuff = new ArrayBuffer(numPoints * 4);
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let clBuff = new ArrayBuffer(numPoints);
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let rnBuff = new ArrayBuffer(numPoints);
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let nrBuff = new ArrayBuffer(numPoints);
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let psBuff = new ArrayBuffer(numPoints * 2);
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let positions = new Float32Array(pBuff);
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let colors = new Uint8Array(cBuff);
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let intensities = new Float32Array(iBuff);
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let classifications = new Uint8Array(clBuff);
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let returnNumbers = new Uint8Array(rnBuff);
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let numberOfReturns = new Uint8Array(nrBuff);
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let pointSourceIDs = new Uint16Array(psBuff);
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for (let i = 0; i < numPoints; i++) {
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// POSITION
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let ux = sourceView.getInt32(i * sourcePointSize + 0, true);
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let uy = sourceView.getInt32(i * sourcePointSize + 4, true);
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let uz = sourceView.getInt32(i * sourcePointSize + 8, true);
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x = ux * scale[0] + offset[0] - event.data.mins[0];
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y = uy * scale[1] + offset[1] - event.data.mins[1];
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z = uz * scale[2] + offset[2] - event.data.mins[2];
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//x = ux * scale[0];
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//y = uy * scale[1];
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//z = uz * scale[2];
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positions[3 * i + 0] = x;
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positions[3 * i + 1] = y;
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positions[3 * i + 2] = z;
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mean[0] += x / numPoints;
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mean[1] += y / numPoints;
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mean[2] += z / numPoints;
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tightBoundingBox.min[0] = Math.min(tightBoundingBox.min[0], x);
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tightBoundingBox.min[1] = Math.min(tightBoundingBox.min[1], y);
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tightBoundingBox.min[2] = Math.min(tightBoundingBox.min[2], z);
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tightBoundingBox.max[0] = Math.max(tightBoundingBox.max[0], x);
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tightBoundingBox.max[1] = Math.max(tightBoundingBox.max[1], y);
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tightBoundingBox.max[2] = Math.max(tightBoundingBox.max[2], z);
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// INTENSITY
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let intensity = sourceView.getUint16(i * sourcePointSize + 12, true);
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intensities[i] = intensity;
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// RETURN NUMBER, stored in the first 3 bits - 00000111
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// number of returns stored in next 3 bits - 00111000
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let returnNumberAndNumberOfReturns = sourceView.getUint8(i * sourcePointSize + 14, true);
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let returnNumber = returnNumberAndNumberOfReturns & 0b0111;
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let numberOfReturn = (returnNumberAndNumberOfReturns & 0b00111000) >> 3;
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returnNumbers[i] = returnNumber;
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numberOfReturns[i] = numberOfReturn;
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// CLASSIFICATION
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let classification = sourceView.getUint8(i * sourcePointSize + 15, true);
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classifications[i] = classification;
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// POINT SOURCE ID
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let pointSourceID = sourceView.getUint16(i * sourcePointSize + 18, true);
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pointSourceIDs[i] = pointSourceID;
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// COLOR, if available
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if (pointFormatID === 2) {
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let r = sourceView.getUint16(i * sourcePointSize + 20, true) / 256;
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let g = sourceView.getUint16(i * sourcePointSize + 22, true) / 256;
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let b = sourceView.getUint16(i * sourcePointSize + 24, true) / 256;
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colors[4 * i + 0] = r;
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colors[4 * i + 1] = g;
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colors[4 * i + 2] = b;
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colors[4 * i + 3] = 255;
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}
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}
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let indices = new ArrayBuffer(numPoints * 4);
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let iIndices = new Uint32Array(indices);
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for (let i = 0; i < numPoints; i++) {
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iIndices[i] = i;
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}
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performance.mark("laslaz-end");
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//{ // print timings
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// performance.measure("laslaz", "laslaz-start", "laslaz-end");
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// let measure = performance.getEntriesByType("measure")[0];
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// let dpp = 1000 * measure.duration / numPoints;
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// let debugMessage = `${measure.duration.toFixed(3)} ms, ${numPoints} points, ${dpp.toFixed(3)} µs / point`;
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// console.log(debugMessage);
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//}
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performance.clearMarks();
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performance.clearMeasures();
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let message = {
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mean: mean,
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position: pBuff,
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color: cBuff,
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intensity: iBuff,
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classification: clBuff,
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returnNumber: rnBuff,
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numberOfReturns: nrBuff,
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pointSourceID: psBuff,
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tightBoundingBox: tightBoundingBox,
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indices: indices
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};
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let transferables = [
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message.position,
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message.color,
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message.intensity,
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message.classification,
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message.returnNumber,
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message.numberOfReturns,
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message.pointSourceID,
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message.indices];
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postMessage(message, transferables);
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};
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onmessage = readUsingDataView;
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//onmessage = readUsingTempArrays;
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Reference in New Issue
Block a user