Based on a snippet of original r3f-example found in PointCloud.js
Tested by myself, this above original component is able to render pointcloud by pushing individual x y z value into the for-loop in Particle() function.
I modified it and added a `fetch()' method to retrieve a custom data txt file, snippet as shown below,
...
export function Particles() {
const [positions, colors] = useMemo(() => {
let positions = [], colors = []
positions.length = 3
colors.length = 3
const HEADER_SIZE = 4;
let stream, longArray, len;
let clusterCount ;
let xy_size ;
let clusterSize = [];
let XY_arr = [];
fetch(map)
.then((r) => r.text())
.then(text => {
stream = text.toString().split("\n"); // split by next line
longArray = stream.slice(2,); // remove header from main longArray
len = longArray.length;
for (let i = 0, count = 0; i < len; i += HEADER_SIZE ) {
xy_size = longArray.slice((i + HEADER_SIZE - 1), (i + HEADER_SIZE));
XY_arr.push(longArray.slice((i + HEADER_SIZE ), (i + HEADER_SIZE + xy_size*2)));
console.log(" Points in PointCloud " + count + ": " + xy_size );
clusterSize.push(xy_size);
clusterCount = count;
i += xy_size*2;
count ++;
}
for (let i = 0; i < (clusterCount-2); i++) {
for (let j = 0; j < clusterSize[i]*2; j+=2) {
positions.push( XY_arr[i][j] )
positions.push(0)
positions.push( XY_arr[i][j+1] )
colors.push(1)
colors.push(0.5)
colors.push(0.5)
console.log( XY_arr[i][j] );
}
}
}
)
return [new Float32Array(positions), new Float32Array(colors)]
}, [])
...
...
, map is the custom text file in string, with single data line-by-line
The fetch() method is able to read a custom pointcloud file into XY_arr as an object of Array(). I have checked that XY_arr[i][j] in the nested-forloop are able to return correct x and z value in console.
Current problem is that no pointcloud being rendered onto <Canvas />
Is the problem caused by position.push() nested loop being inside of 'fetch()' method ? And how to resolve. Thank you.
