Monash University
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run_000.csv (38.25 kB)
DATASET
run_001.csv (38.06 kB)
DATASET
run_002.csv (38.45 kB)
DATASET
run_003.csv (38.21 kB)
DATASET
run_004.csv (37.36 kB)
DATASET
run_005.csv (37.31 kB)
DATASET
run_006.csv (38.1 kB)
DATASET
run_007.csv (38.55 kB)
DATASET
run_008.csv (38.25 kB)
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run_009.csv (38.05 kB)
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imgs.zip (281.34 MB)
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11 files

DLA Form Generation dataset

dataset
posted on 2021-01-29, 08:58 authored by Jon McCormackJon McCormack, Camilo Cruz Gambardella
This dataset consists of 2,500 3D forms created using a Differential Line Algorithm (DLA) based method. Multiple closed 2D line segments develop over time. At each time-step the geometry is captured and forms a sequential z-layer in a 3D form. After several hundred time-steps, the final 3D form is generated, suitable for 3D printing. Each image is 600x600 pixels resolution. Images in this set are 3D line renderings of the final form, from a perspective projection and orthographic projection in the x-y plane.

There are 9 separate runs with associated csv files. The associated images are in the imgs.zip file

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