Got images working
- does not do UVs yet - is able to pack images using a split algorithm. I think I broke the size finding though for the output canvas. - does not combine materials after packing
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989onan
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from pathlib import Path
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import bpy
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import re
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import os
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from typing import List, Tuple, Optional
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from bpy.types import Material, Operator, Context, Object, Image
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from ..core.register import register_wrap
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from ..core.properties import material_list_bool, SceneMatClass
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from ..core.packer.rectangle_packer import MaterialImageList, BinPacker
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def scale_images_to_largest(images:list[Image]) -> set:
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print([image.name for image in images])
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x: int=0
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y: int=0
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for image in images:
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x = max(x,image.size[0])
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y = max(y,image.size[1])
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print(x,y)
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for image in images:
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image.scale(width=int(x), height=int(y))
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return x,y
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def MaterialImageList_to_Image_list(classitem: MaterialImageList) -> list[Image]:
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list_of_images: list[Image] = []
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list_of_images.append(classitem.albedo)
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list_of_images.append(classitem.normal)
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list_of_images.append(classitem.emission)
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list_of_images.append(classitem.ambient_occlusion)
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list_of_images.append(classitem.height)
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return list_of_images
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def get_material_images_from_scene(context: Context) -> list[MaterialImageList]:
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mat: SceneMatClass = None
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material_image_list: list[MaterialImageList] = []
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for mat in context.scene.materials:
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new_mat_image_item: MaterialImageList = MaterialImageList()
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try:
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new_mat_image_item.albedo = bpy.data.images[mat.mat.texture_atlas_albedo]
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except Exception as e:
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name: str = mat.mat.name+"_albedo_replacement"
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if name in bpy.data.images:
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bpy.data.images.remove(image=bpy.data.images[name],do_unlink=True)
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new_mat_image_item.albedo = bpy.data.images.new(name=name,width=32,height=32, alpha=True)
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try:
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new_mat_image_item.normal = bpy.data.images[mat.mat.texture_atlas_normal]
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except Exception:
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name: str = mat.mat.name+"_normal_replacement"
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if name in bpy.data.images:
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bpy.data.images.remove(image=bpy.data.images[name],do_unlink=True)
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new_mat_image_item.normal = bpy.data.images.new(name=name,width=32,height=32, alpha=True)
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try:
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new_mat_image_item.emission = bpy.data.images[mat.mat.texture_atlas_emission]
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except Exception:
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name: str = mat.mat.name+"_emission_replacement"
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if name in bpy.data.images:
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bpy.data.images.remove(image=bpy.data.images[name],do_unlink=True)
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new_mat_image_item.emission = bpy.data.images.new(name=name,width=32,height=32, alpha=True)
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try:
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new_mat_image_item.ambient_occlusion = bpy.data.images[mat.mat.texture_atlas_ambient_occlusion]
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except Exception:
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name: str = mat.mat.name+"_ambient_occlusion_replacement"
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if name in bpy.data.images:
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bpy.data.images.remove(image=bpy.data.images[name],do_unlink=True)
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new_mat_image_item.ambient_occlusion = bpy.data.images.new(name=name,width=32,height=32, alpha=True)
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try:
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new_mat_image_item.height = bpy.data.images[mat.mat.texture_atlas_height]
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except Exception:
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name: str = mat.mat.name+"_height_replacement"
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if name in bpy.data.images:
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bpy.data.images.remove(image=bpy.data.images[name],do_unlink=True)
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new_mat_image_item.height = bpy.data.images.new(name=name,width=32,height=32, alpha=True)
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material_image_list.append(new_mat_image_item)
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return material_image_list
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def prep_images_in_scene(context: Context) -> list[MaterialImageList]:
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preped_images: list[MaterialImageList] = get_material_images_from_scene(context)
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for MaterialImageClass in preped_images:
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ImageList: list[Image] = MaterialImageList_to_Image_list(MaterialImageClass)
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MaterialImageClass.w, MaterialImageClass.h = scale_images_to_largest(ImageList)
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return preped_images
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@register_wrap
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class Atlas_Materials(Operator):
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bl_idname = "avatar_toolkit.atlas_materials"
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bl_label = "Atlas Materials"
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bl_description = "Atlas materials to optimize the model"
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bl_options = {'REGISTER', 'UNDO'}
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@classmethod
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def poll(cls, context: Context) -> bool:
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return context.scene.texture_atlas_Has_Mat_List_Shown
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def execute(self, context: Context) -> set:
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try:
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mat_images: list[MaterialImageList] = prep_images_in_scene(context)
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packer: BinPacker = BinPacker(mat_images)
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mat_images = packer.fit()
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size: list[int] = [max([matimg.fit.w + matimg.albedo.size[0] for matimg in mat_images]),
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max([matimg.fit.h + matimg.albedo.size[1] for matimg in mat_images])]
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print([matimg.fit.w + matimg.albedo.size[1] for matimg in mat_images])
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for type in ["albedo","normal", "emission","ambient_occlusion","height"]:
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new_image_name: str= "Atlas_"+type+"_"+bpy.context.scene.name+"_"+Path(bpy.data.filepath).stem
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print("Processing "+type+" atlas image")
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if new_image_name in bpy.data.images:
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bpy.data.images.remove(bpy.data.images[new_image_name])
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canvas: Image = bpy.data.images.new(name=new_image_name, width=int(size[0]),height=int(size[1]), alpha=True)
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c_w = canvas.size[0]
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c_h = canvas.size[1]
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canvas_pixels: list[float] = list(canvas.pixels[:])
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for mat in mat_images:
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x: int = int(mat.fit.x)
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y: int = int(mat.fit.y)
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w: int = int(mat.albedo.size[0])
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h: int = int(mat.albedo.size[1])
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image_var: Image = eval("mat."+type)
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image_pixels: list[float] = list(image_var.pixels[:])
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print("writing image \""+image_var.name+"\" to canvas.")
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print("x: \""+str(x)+"\" "+"y: \""+str(y)+"\" "+"w: \""+str(w)+"\" "+"h: \""+str(h)+"\" ")
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for k in range(0,h):
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for i in range(0, w):
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for channel in range(0,4):
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canvas_pixels[
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int((((k+y)*c_w)
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+
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(i+x))*4)
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+int(channel)
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] = image_pixels[
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int((
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(k*w)
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+i)*4)
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+int(channel)]
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canvas.pixels[:] = canvas_pixels[:]
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canvas.save(filepath=os.path.join(os.path.dirname(bpy.data.filepath),new_image_name+".png"))
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return {"FINISHED"}
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except Exception as e:
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raise e
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return {"FINISHED"}
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