#################################################################################################### # # Invoking X3D model self-test: # # $ python ScannerMetadataExample4.py # # Python package x3d.py package is available on PyPI for import. # This approach simplifies Python X3D deployment and use. # https://pypi.org/project/x3d # # Installation: # pip install x3d # or # python -m pip install x3d # # Developer options for loading x3d package in other Python programs: # # from x3d import * # preferred approach, terser source that avoids x3d.* class prefixes # # or # import x3d # traditional way to subclass x3d package, all classes require x3d.* prefix, # # but python source is very verbose, for example x3d.Material x3d.Shape etc. # # X3dToPython.xslt stylesheet insertPackagePrefix=true supports this option. # #################################################################################################### from x3d import * newModel=X3D(profile='Immersive',version='4.0', head=head( children=[ unit(category='length',conversionFactor=1,name='meter'), meta(content='ScannerMetadataExample4.x3d',name='title'), meta(content='Embed example metadata associated with a scanned 3D model using X3D version 4.',name='description'), meta(content='11 November 2019',name='created'), meta(content='20 February 2024',name='modified'), meta(content='If approved for X3D4, apply modified containerField=value defaults for Metadata* nodes',name='TODO'), meta(content='https://docs.google.com/spreadsheets/d/1RKvh6oEsyIgEIFfjDQNgu1U6QoAmsduvHx3ki18Z06A/htmlview#',name='reference'), meta(content='Bill Gutelius, Qntfi https://www.qntfii.com',name='creator'), meta(content='Nicholas Polys, VT',name='translator'), meta(content='ScannerMetadataExample33.x3d',name='reference'), meta(content='https://www.web3d.org/x3d/content/examples/X3dForAdvancedModeling/Scanning/ScannerMetadataExample4.x3d',name='identifier'), meta(content='../license.html',name='license')]), Scene=Scene( children=[ WorldInfo(title='ScannerMetadataExample4.x3d'), MetadataSet(name='Scan Information',reference='Web3D proposed vocabulary: version 0.1', value=[ MetadataSet(name='Acquisition',reference='Hardware', value=[ MetadataString(name='Scanner',value=['Emesent HOVERMAP']), MetadataString(name='ScannerModel',value=['Model: HF-1']), MetadataFloat(name='Pulse rate (kHz)',value=[300]), MetadataFloat(name='Wavelength (nm)',value=[903]), MetadataFloat(name='Max range (m)',value=[100])]), MetadataSet(name='Scan Session', value=[ MetadataString(name='acquisition_timestamp',value=["2019-11-05T10:15:32.3+0500"])]), MetadataSet(name='LAS Fields',reference='http://www.asprs.org/wp-content/uploads/2019/03/LAS_1_4_r14.pdf', value=[ MetadataString(name='number of points',value=['18102106']), MetadataInteger(name='point_format',value=[1]), MetadataSet(name='LAS.scalar fields', value=[ MetadataInteger(name='num.fields',value=[3]), MetadataString(name='scalar1',value=['Intensity']), MetadataString(name='scalar2',value=['ReturnNumber']), MetadataString(name='scalar3',value=['GpsTime'])]), # we should have a double precision version too MetadataFloat(name='LAS.Global_shift.x',value=[131.45]), MetadataFloat(name='LAS.Global_shift.y',value=[91.94]), MetadataFloat(name='LAS.Global_shift.z',value=[3.18]), MetadataInteger(name='Scalar.fields',value=[3]), MetadataInteger(name='Version.Major',value=[1]), MetadataInteger(name='Version.Minor',value=[4]), MetadataFloat(name='LAS.scale.x',value=[2.13564e-7]), MetadataFloat(name='LAS.scale.y',value=[2.35058e-7]), MetadataFloat(name='LAS.scale.z',value=[5.6171e-8])]), MetadataSet(name='Scene Provenance', value=[ MetadataSet(name='Provenance', # omitted value="this" value=[ MetadataSet(name='this-1', value=[ MetadataString(name='Last Modified',value=["Jan 1 2019"]), MetadataString(name='Institution',value=["Virginia Tech Visionarium"]), MetadataString(name='Authors',value=["Nicholas Polys"]), MetadataString(name='Tools',value=["LAS2X3D.py"]), MetadataString(name='Algorithms',value=["lexical sampling by interval stride"])])])])]), Anchor(description='ScannerMetadataExample4 model page',parameter=["target=blank"],url=["https://www.web3d.org/x3d/content/examples/X3dForAdvancedModeling/Scanning/ScannerMetadataExample4Index.html"], children=[ Shape( geometry=Text(string=["ScannerMetadataExample4","embed metadata in X3D4"], fontStyle=FontStyle(family=["SANS"],justify=["MIDDLE","MIDDLE"],size=0.75,style_='BOLD')), appearance=Appearance( material=Material(diffuseColor=(0,0.501961,0.109804))))]), # NFP: Scene node can also take a MetadataSet (?) ... Here considered as a value-added scene from the acquisition the default containerField='value' Transform(translation=(131.45,91.94,3.18), # by global shift value above # could be an LOD children=[ Switch(bboxCenter=(106.781,117.532,28.0086),bboxSize=(213.564,235.058,56.171),whichChoice=0, children=[ Group( children=[ Shape(DEF='Highest_Resolution', metadata=MetadataSet(name='holder1', value=[ MetadataSet(name='LAS Fields',reference='http://www.asprs.org/wp-content/uploads/2019/03/LAS_1_4_r14.pdf', value=[ MetadataString(name='number of points',value=['1810210'])]), MetadataSet(name='Permissions', value=[ MetadataBoolean(name='recording',value=[False]), MetadataBoolean(name='systematization',value=[False]), MetadataBoolean(name='accumulation',value=[False])])]))]), Group( children=[ Shape(DEF='Medium_Resolution', metadata=MetadataSet(name='holder3', value=[ MetadataSet(name='LAS Fields',reference='http://www.asprs.org/wp-content/uploads/2019/03/LAS_1_4_r14.pdf', value=[ MetadataString(name='number of points',value=['181021'])]), MetadataSet(name='Permissions', value=[ MetadataBoolean(name='recording',value=[False]), MetadataBoolean(name='systematization',value=[True]), MetadataBoolean(name='accumulation',value=[True])])]))]), Group( children=[ Shape(DEF='Low_Resolution', metadata=MetadataSet(name='holder3', value=[ MetadataSet(name='LAS Fields',reference='http://www.asprs.org/wp-content/uploads/2019/03/LAS_1_4_r14.pdf', value=[ MetadataString(name='number of points',value=['72408'])]), MetadataSet(name='Permissions', value=[ MetadataBoolean(name='recording',value=[True]), MetadataBoolean(name='systematization',value=[True]), MetadataBoolean(name='accumulation',value=[True])])]))])])])]) ) # X3D model complete #################################################################################################### # Self-test diagnostics #################################################################################################### print('Self-test diagnostics for ScannerMetadataExample4.py:') if metaDiagnostics(newModel): # built-in utility method in X3D class print(metaDiagnostics(newModel)) # display meta info, hint, warning, error, TODO values in this model # print('check newModel.XML() serialization...') newModelXML= newModel.XML() # test export method XML() for exceptions during export newModel.XMLvalidate() # print(newModelXML) # diagnostic try: # print('check newModel.VRML() serialization...') newModelVRML=newModel.VRML() # test export method VRML() for exceptions during export # print(prependLineNumbers(newModelVRML)) # debug print("Python-to-VRML export of VRML output successful", flush=True) except Exception as err: # usually BaseException # https://stackoverflow.com/questions/18176602/how-to-get-the-name-of-an-exception-that-was-caught-in-python print("*** Python-to-VRML export of VRML output failed:", type(err).__name__, err) if newModelVRML: # may have failed to generate print(prependLineNumbers(newModelVRML, err.lineno)) try: # print('check newModel.JSON() serialization...') newModelJSON=newModel.JSON() # test export method JSON() for exceptions during export # print(prependLineNumbers(newModelJSON)) # debug print("Python-to-JSON export of JSON output successful (under development)") except Exception as err: # usually SyntaxError print("*** Python-to-JSON export of JSON output failed:", type(err).__name__, err) if newModelJSON: # may have failed to generate print(prependLineNumbers(newModelJSON,err.lineno)) print("python ScannerMetadataExample4.py load and self-test diagnostics complete.")