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add pointcloud demo
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| module.exports = { | ||
| env: { browser: true, es2020: true }, | ||
| extends: [ | ||
| 'eslint:recommended', | ||
| 'plugin:@typescript-eslint/recommended', | ||
| 'plugin:react-hooks/recommended', | ||
| ], | ||
| parser: '@typescript-eslint/parser', | ||
| parserOptions: { ecmaVersion: 'latest', sourceType: 'module' }, | ||
| plugins: ['react-refresh'], | ||
| rules: { | ||
| 'react-refresh/only-export-components': 'warn', | ||
| }, | ||
| } |
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| # Logs | ||
| logs | ||
| *.log | ||
| npm-debug.log* | ||
| yarn-debug.log* | ||
| yarn-error.log* | ||
| pnpm-debug.log* | ||
| lerna-debug.log* | ||
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| node_modules | ||
| dist | ||
| dist-ssr | ||
| *.local | ||
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| # Editor directories and files | ||
| .vscode/* | ||
| !.vscode/extensions.json | ||
| .idea | ||
| .DS_Store | ||
| *.suo | ||
| *.ntvs* | ||
| *.njsproj | ||
| *.sln | ||
| *.sw? | ||
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| sample* |
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| FROM node:18 as node_builder | ||
| WORKDIR /usr/src/app | ||
| COPY . /usr/src/app | ||
| RUN yarn | ||
| RUN yarn build | ||
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| FROM nginxinc/nginx-unprivileged:1.21 | ||
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| COPY --from=node_builder /usr/src/app/dist /usr/share/nginx/html | ||
| EXPOSE 80 | ||
| CMD ["nginx", "-g", "daemon off;"] |
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| # MapComponents Point cloud - Demo | ||
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| Diese Demo lädt eine Punktwolke im JSON-Format. Sie muss sich im Ordner „Public“ mit dem Namen „output_pointcloud.json“ befinden. | ||
| Um die Datei zu erzeugen, führt man das Skript **converter.py** aus und übergibt als Parameter den Pfad zur LAS-Datei: | ||
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| ```bash | ||
| python3 converter.py < path_to_file > | ||
| ``` | ||
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| # MapComponents + vite + react + typescript | ||
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| This template is based on the vite ts-react template, and adds all | ||
| required basic components for a MapComponents application. | ||
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| ## Start the development server | ||
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| ```bash | ||
| yarn dev | ||
| ``` |
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| import laspy | ||
| import json | ||
| import numpy as np | ||
| from laspy.compression import LazBackend | ||
| from pyproj import Transformer | ||
| import argparse | ||
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| # Set up argument parsing | ||
| parser = argparse.ArgumentParser(description="Process a LAS/LAZ file.") | ||
| parser.add_argument("input_las", type=str, help="Path to the LAS/LAZ file") | ||
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| # Parse the arguments | ||
| args = parser.parse_args() | ||
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| # Load the LAS/LAZ file | ||
| input_las = args.input_las | ||
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| if LazBackend.Lazrs.is_available(): | ||
| laz_backend = LazBackend.Lazrs | ||
| elif LazBackend.Laszip.is_available(): | ||
| laz_backend = LazBackend.Laszip | ||
| else: | ||
| raise RuntimeError("No LAZ backend is available. Install lazrs or laszip.") | ||
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| las = laspy.read(input_las, laz_backend=laz_backend) | ||
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| original_crs = "EPSG:25832" | ||
| target_crs = "EPSG:4326" # WGS84 | ||
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| # Set up transformer for coordinate system conversion to WGS84 | ||
| transformer = Transformer.from_crs(original_crs, target_crs, always_xy=True) | ||
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| # Extract x, y, z coordinates and transform to WGS84 | ||
| x, y, z = transformer.transform(las.x, las.y, las.z) | ||
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| # Check for RGB color information | ||
| dimension_names = las.point_format.dimension_names | ||
| has_rgb = 'red' in dimension_names and 'green' in dimension_names and 'blue' in dimension_names | ||
| # Extract color values and normalize them to 8-bit range | ||
| if has_rgb: | ||
| r = (las.red / 256).astype(np.uint8) | ||
| g = (las.green / 256).astype(np.uint8) | ||
| b = (las.blue / 256).astype(np.uint8) | ||
| else: | ||
| # Default grey color if RGB is missing | ||
| r = np.full_like(x, 128, dtype=np.uint8) | ||
| g = np.full_like(x, 128, dtype=np.uint8) | ||
| b = np.full_like(x, 128, dtype=np.uint8) | ||
|
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| # Prepare the data for JSON export | ||
| positions: list = [] | ||
| normals: list = [] | ||
| colors: list = [] | ||
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| for i in range(len(x)): | ||
| position = [float(x[i]), float(y[i]), float(z[i])] | ||
| normal = [0, 0, -1] # Normal placeholder; replace with actual data if available | ||
| color = [int(r[i]), int(g[i]), int(b[i])] # Use the scaled 8-bit values | ||
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| positions.append(position) | ||
| normals.append(normal) | ||
| colors.append(color) | ||
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| points = { | ||
| "positions": positions, | ||
| "normals": normals, | ||
| "colors": colors | ||
| } | ||
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| # Export to JSON | ||
| output_json = "public/output_pointcloud.json" | ||
| with open(output_json, "w") as f: | ||
| json.dump(points, f, indent=2) | ||
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| print(f"Exported LAS/LAZ data to JSON format: {output_json}") |
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| <!DOCTYPE html> | ||
| <html lang="en"> | ||
| <head> | ||
| <meta charset="UTF-8" /> | ||
| <link rel="manifest" href="/manifest.json"> | ||
| <meta name="viewport" content="width=device-width, initial-scale=1.0" /> | ||
| <link rel="icon" type="image/png" sizes="196x196" href="favicon-196.png"> | ||
| <link rel="apple-touch-icon" href="apple-icon-180.png"> | ||
| <meta name="apple-mobile-web-app-capable" content="yes"> | ||
| <title>PointCloud (3D-Darstellung)</title> | ||
| </head> | ||
| <body> | ||
| <div id="root"></div> | ||
| <script type="module" src="/src/main.tsx"></script> | ||
| </body> | ||
| </html> |
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