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Anson 2022-03-29 00:38:46 -07:00
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[deps]
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data.jl Normal file
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using FileIO
using MeshIO
using stlProcess
using CSV
using DataFrames
using LinearAlgebra
# local path to https://gitlab.com/orbital-debris-research/fake-satellite-dataset
dataset_path = raw"C:\Coding\fake-satellite-dataset"
folders = ["1_5U", "assembly1", "cubesat"]
# for folder in folders
# dataset_path * "\\" * folder |>
# end
df = DataFrame(; volume=Float64[], cx=Float64[],cy=Float64[],cz=Float64[], Ix=Float64[], Iy=Float64[], Iz=Float64[])
for path in dataset_path * "\\" .* folders
for file in readdir(path)
props = get_mass_properties(load(path * "\\" * file))
cx, xy, xz = props.center_of_gravity
Ix, Iy, Iz = eigvals(props.inertia)
push!(df, [props.volume, cx, xy, xz, Ix, Iy, Iz])
end
end
CSV.write("dataset.csv",df)

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dataset.csv Normal file
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volume,cx,cy,cz,Ix,Iy,Iz
7.977366559922909e-8,0.0866989311263332,-0.10333856460276811,0.0008013137693268185,3.454163906940837e-13,3.46274155605061e-13,5.581324071250324e-13
9.933046385413036e-8,0.08669866108898351,-0.1082665213111752,0.0008014001985881251,1.407376521492493e-13,1.0404877106221546e-12,1.0431719256715858e-12
7.977664987871928e-8,-0.0036988447272748,-0.10333843229176191,0.09119851184121365,3.471032223287024e-13,3.4733494400062676e-13,5.587923505417004e-13
9.933225442182447e-8,-0.003698606606984244,-0.10826648913396679,0.09119864997321367,1.4057492573950852e-13,1.0426860688072e-12,1.0435609032418811e-12
5.525838275843853e-8,0.0041013600950212635,0.0444780924150922,0.09219878994176704,5.942267196322257e-14,7.564921494695536e-13,7.585076138047633e-13
1.0887038115470205e-7,0.07512007893064226,-0.02860002272963018,0.0014999646576332052,1.0005281548303895e-13,6.080866900868399e-12,6.082394147320878e-12
1.0887098748450323e-7,0.07511992162672237,-0.028599991258887306,0.09049995074694091,1.0063624748983075e-13,6.083313645659676e-12,6.0845211572497314e-12
5.525856276259825e-8,0.07889859068167844,-0.10167788971633872,-0.0001986393127610117,6.101709698622687e-14,7.596831455229697e-13,7.605910652040703e-13
5.525893698177242e-8,0.004101318960146263,-0.10167780120296539,-0.00019863708856156776,6.077379876875302e-14,7.610716737695617e-13,7.617361403489196e-13
5.52583543367291e-8,0.004101363878815638,0.04447798670648019,-0.00019859761871138308,6.07728268763167e-14,7.582425537489485e-13,7.589072317682257e-13
5.5257847482910925e-8,0.07889869043818595,0.04447803035264661,-0.00019859573594877868,6.069179156667747e-14,7.579647201302764e-13,7.585487383687068e-13
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