Last active
December 18, 2018 19:26
-
-
Save francisbitontistudio/6b27aa397ac2825538942530cc8d803e to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #$ pip install genysis | |
| import genysis | |
| #easy part upload at https://studiobitonti.appspot.com/ | |
| #see upload tutorial for more details | |
| token = "dev" | |
| MPfilename = "implant.obj" | |
| cellName = "cell_1.obj" | |
| #create a lattice unit | |
| #genLatticeUnit(case,chamfer,centerChamfer,bendIn,cBendIn,connectPt,output,token): | |
| #bug:function is currently not accepting 0.0 as a value | |
| genysis.genLatticeUnit(7,0.01,0.01,0.01,0.01,1.0,cellName,token) | |
| #create a surface lattice class | |
| cranial =genysis.surfaceLattice() | |
| #set the values needed for this function | |
| cranial.setSurface("Skull_Srf.obj") | |
| cranial.setCellHeight(0.1) | |
| cranial.setOutput(MPfilename) | |
| cranial.setComponent(cellName) | |
| #Generate the lattice. It will be saved as implant.obj | |
| #cranial.surfaceLatticeStatic(token) | |
| cranial.run(token) | |
| #the function will return a list of STL filesself. | |
| #high density meshes are computed distriubted for speed. | |
| final=genysis.marchingCube(MPfilename,900,0.01,"implantOutput",token) | |
| print(final) | |
| #Now lets generate one with a gradient | |
| #First set up a new lattice component to blend into | |
| newBlendTarget = "cell_2.obj" | |
| genysis.genLatticeUnit(7,0.01,0.01,0.01,1.0,1,newBlendTarget,token) | |
| #set the values needed for this function | |
| cranial.addPointAttractor(newBlendTarget,point=[1.6,90.4,0.6],range=2) | |
| cranial.setOutput("implant_2.obj") | |
| #generate new lattive with attractor. | |
| cranial.run(token) | |
| #the function will return a list of STL filesself. | |
| #high density meshes are computed distriubted for speed. | |
| #for example... | |
| #["implantOutputV2_5.stl","implantOutputV2_4.stl","implantOutputV2_3.stl","implantOutputV2_0.stl","implantOutputV2_1.stl","implantOutputV2_2.stl"] | |
| final=genysis.marchingCube("implant_2.obj",900,0.01,"implantOutputV2",token) | |
| print(final) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment