ef8fb21536
Finalized update to support Blender 2.9+ as well as new features, fixes and more stability
80 lines
2.5 KiB
Python
80 lines
2.5 KiB
Python
import bpy, os
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class TLM_Integrated_Denoise:
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image_array = []
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image_output_destination = ""
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def load(self, images):
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self.image_array = images
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self.cull_undefined()
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def setOutputDir(self, dir):
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self.image_output_destination = dir
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def cull_undefined(self):
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#Do a validation check before denoising
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cam = bpy.context.scene.camera
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if not cam:
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bpy.ops.object.camera_add()
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#Just select the first camera we find, needed for the compositor
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for obj in bpy.context.scene.objects:
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if obj.type == "CAMERA":
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bpy.context.scene.camera = obj
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return
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def denoise(self):
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if not bpy.context.scene.use_nodes:
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bpy.context.scene.use_nodes = True
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tree = bpy.context.scene.node_tree
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for image in self.image_array:
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if bpy.context.scene.TLM_SceneProperties.tlm_verbose:
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print("Image...: " + image)
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img = bpy.data.images.load(self.image_output_destination + "/" + image)
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image_node = tree.nodes.new(type='CompositorNodeImage')
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image_node.image = img
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image_node.location = 0, 0
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denoise_node = tree.nodes.new(type='CompositorNodeDenoise')
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denoise_node.location = 300, 0
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comp_node = tree.nodes.new('CompositorNodeComposite')
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comp_node.location = 600, 0
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links = tree.links
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links.new(image_node.outputs[0], denoise_node.inputs[0])
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links.new(denoise_node.outputs[0], comp_node.inputs[0])
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# set output resolution to image res
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bpy.context.scene.render.resolution_x = img.size[0]
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bpy.context.scene.render.resolution_y = img.size[1]
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bpy.context.scene.render.resolution_percentage = 100
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filePath = bpy.data.filepath
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path = os.path.dirname(filePath)
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base = os.path.basename(image)
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filename, file_extension = os.path.splitext(image)
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filename = filename[:-6]
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bpy.data.scenes["Scene"].render.filepath = self.image_output_destination + "/" + filename + "_denoised" + file_extension
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denoised_image_path = self.image_output_destination
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bpy.data.scenes["Scene"].render.image_settings.file_format = "HDR"
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bpy.ops.render.render(write_still=True)
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#Cleanup
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comp_nodes = [image_node, denoise_node, comp_node]
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for node in comp_nodes:
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tree.nodes.remove(node) |