/
mn40.jl
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/
mn40.jl
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"""
ModelNet40(;kwargs...)
Returns ModelNet40 dataset.
### Optional Key Arguments:
* `root::String=default_root` - Root directory of dataset
* `train::Bool=true` - Specifies the trainset
* `transform=nothing` - Transform to be applied to data point.
* `categories::Vector{String}` - Specifies the categories to be used in dataset.
### Examples:
```jldoctest
julia> dset = ModelNet40(train=false)
julia> typeof(dset[1].data) == TriMesh
```
"""
ModelNet40(;
root::String = default_root,
train::Bool = true,
download::Bool = false,
transform = nothing,
categories::Vector{String} = MN10_classes,
) = _mn_dataset(root, train, download, transform, categories, 40)
const MN40_classes = [
"airplane",
"bathtub",
"bed",
"bench",
"bookshelf",
"bottle",
"bowl",
"car",
"chair",
"cone",
"cup",
"curtain",
"desk",
"door",
"dresser",
"flower_pot",
"glass_box",
"guitar",
"keyboard",
"lamp",
"laptop",
"mantel",
"monitor",
"night_stand",
"person",
"piano",
"plant",
"radio",
"range_hood",
"sink",
"sofa",
"stairs",
"stool",
"table",
"tent",
"toilet",
"tv_stand",
"vase",
"wardrobe",
"xbox",
]