Remove all refs to AbstractPlotting

Author: nirmal-suthar

docs/src/api/visualize.md

@@ -12,7 +12,7 @@ CurrentModule = Flux3D
 ```julia
 julia> using Flux3D, Makie
 
-julia> Makie.AbstractPlotting.set_theme!(show_axis = false, scale=false)
+julia> Makie.set_theme!(show_axis = false, scale=false)
 
 julia> m = load_trimesh("teapot.obj")
 TriMesh{Float32, UInt32, Array} Structure:

docs/src/tutorials/dgcnn.md

@@ -12,8 +12,8 @@ using Flux: onehotbatch, onecold, onehot, crossentropy
 using Statistics: mean
 using Base.Iterators: partition
 
-Makie.AbstractPlotting.inline!(false)
-Makie.AbstractPlotting.set_theme!(show_axis = false)
+Makie.inline!(false)
+Makie.set_theme!(show_axis = false)
 ```
 
 ## Defining arguments for use in training.

docs/src/tutorials/fit_mesh.md

@@ -20,8 +20,8 @@ and target shape.
 using Flux3D, Zygote, Flux, FileIO, Statistics, Plots
 using AbstractPlotting, GLMakie
 
-Flux3D.AbstractPlotting.inline!(true)
-Flux3D.AbstractPlotting.set_theme!(show_axis = false)
+Flux3D.Makie.inline!(true)
+Flux3D.Makie.set_theme!(show_axis = false)
 ```
 
 ## Downloading obj file of sphere and dolphin
@@ -65,7 +65,7 @@ We will use `visualize` function for visualizing TriMesh. This function uses
 function, which makes this function handy dealing with different 3D format.
 
 ```julia
-Flux3D.AbstractPlotting.vbox(visualize(src), visualize(tgt))
+Flux3D.Makie.vbox(visualize(src), visualize(tgt))
 ```
 
 ```@raw html
@@ -162,7 +162,7 @@ Flux3D provide IO function `save_trimesh`  to save TriMesh
 ```julia
 save_trimesh("results/final_mesh.off", final_mesh)
 save("results/final_mesh.png", visualize(final_mesh))
-Flux3D.AbstractPlotting.vbox(visualize(final_mesh), visualize(dolphin))
+Flux3D.Makie.vbox(visualize(final_mesh), visualize(dolphin))
 ```
 
 ```@raw html

docs/src/tutorials/pointnet.md

@@ -12,8 +12,8 @@ using Flux: onehotbatch, onecold, onehot, crossentropy
 using Statistics: mean
 using Base.Iterators: partition
 
-Makie.AbstractPlotting.inline!(false)
-Makie.AbstractPlotting.set_theme!(show_axis = false)
+Makie.inline!(false)
+Makie.set_theme!(show_axis = false)
 ```
 
 ## Defining arguments for use in training.

examples/dgcnn_classification.jl

@@ -11,8 +11,8 @@ using Flux: onehotbatch, onecold, onehot, crossentropy
 using Statistics: mean
 using Base.Iterators: partition
 
-Makie.AbstractPlotting.inline!(false)
-Makie.AbstractPlotting.set_theme!(show_axis = false)
+Makie.inline!(false)
+Makie.set_theme!(show_axis = false)
 
 # ## Defining arguments for use in training.
 # * batch_size - batch size of of training data to be passed while training.

examples/fit_mesh.jl

@@ -19,8 +19,8 @@
 using Flux3D, Zygote, Flux, FileIO, Statistics, Plots
 using Makie
 
-Makie.AbstractPlotting.inline!(true)
-Makie.AbstractPlotting.set_theme!(show_axis = false)
+Makie.inline!(true)
+Makie.set_theme!(show_axis = false)
 
 # ## Downloading obj file of sphere and dolphin
 
@@ -57,7 +57,7 @@ tgt._verts_packed = verts
 # **Makie** for plotting. In fact, we can also visualize PointCloud using this
 # function, which makes this function handy dealing with different 3D format.
 
-Flux3D.AbstractPlotting.vbox(visualize(src), visualize(tgt))
+Flux3D.Makie.vbox(visualize(src), visualize(tgt))
 
 # ```@raw html
 # <p align="center">
@@ -140,7 +140,7 @@ final_mesh = Flux3D.scale!(final_mesh, scale)
 
 save_trimesh("results/final_mesh.off", final_mesh)
 save("results/final_mesh.png", visualize(final_mesh))
-Flux3D.AbstractPlotting.vbox(visualize(final_mesh), visualize(dolphin))
+Flux3D.Makie.vbox(visualize(final_mesh), visualize(dolphin))
 
 # ```@raw html
 # <p align="center">

examples/pointnet_classification.jl

@@ -4,15 +4,15 @@
 # !!!note
 #     For visualization purpose we will require to install Makie and
 #     compatible backend (GLMakie or WGLMakie). To install it simply run
-#     `] add AbstractPlotting GLMakie` in the julia prompt.
+#     `] add Makie GLMakie` in the julia prompt.
 
 using Flux3D, Flux, Makie, CUDA
 using Flux: onehotbatch, onecold, onehot, crossentropy
 using Statistics: mean
 using Base.Iterators: partition
 
-Makie.AbstractPlotting.inline!(false)
-Makie.AbstractPlotting.set_theme!(show_axis = false)
+Makie.inline!(false)
+Makie.set_theme!(show_axis = false)
 
 # ## Defining arguments for use in training.
 # * batch_size - batch size of of training data to be passed while training.

test/conversions.jl

@@ -43,8 +43,8 @@ end
 # to cross check the dimension and figure of different conversion.
 
 # using Makie
-# Makie.AbstractPlotting.inline!(true)
-# Makie.AbstractPlotting.set_theme!(show_axis = true)
+# Makie.inline!(true)
+# Makie.set_theme!(show_axis = true)
 #
 # _voxels = zeros(Float32,32,32,32,2)
 # _voxels[1:15,2:10,18:32,:] .= 1