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- Import Geometry
- Let users upload a geometry file from the ShapeDiver viewer (uses headless documents, requires Rhino 7).
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- Import Geometry
- CAD file
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- The default URI to read from if no file is set.
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- The imported material definition.
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- Direct Text Input
- Defines a text input field for ShapeDiver's viewer, double click to change settings.
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- CAD file URL
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- The string inserted by the user on ShapeDiver. Will always show your default text when testing locally.
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- glTF 2.0 Display
- Display geometry in ShapeDiver's viewer using glTF 2.0 materials.
Change the nickname of this component to create a named output, which can be used in ShapeDiver's Viewer API.
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- glTF 2.0 Display
- glTFDisplay
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- All of the geometry coming in here will be converted to meshes, polylines, or points and included in a single glTF asset to be displayed in ShapeDiver's Viewer.
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- Geometry
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- List of materials to be assigned to branches of geometry.
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- Material
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- Colour Swatch
- Colour (palette) swatch
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- Colour Swatch
- Color
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- glTF 2.0 Material
- Define glTF 2.0 material properties for displaying geometry in the ShapeDiver viewer.
Please make sure to use publicly accessible URLs for your texture images. Once images have been accessed for the first time after uploading of your model, they will be cached and the URLs will not be accessed anymore, and can thus safely be deactivated.
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- glTF 2.0 Material
- glTF2Material
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- Optional name of material
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- Name
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- Base color of the material, its alpha channel can be used to control opacity. Can be modulated by using a BaseColorTexture.
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- BaseColorFactor
- CF
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- Base color texture image. Please supply a bitmap or a publicly accessible URL. Will be multiplied by the BaseColorFactor.
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- BaseColorTexture
- CT
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- Defines how much the material appears like metal. Accepts values from 0 (no metal) to 1 (metal). Can be modulated by a MetallicRoughnessTexture.
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- MetallicFactor
- MF
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- Defines how rough the material appears. Accepts values from 0 (smooth) to 1 (rough). Can be modulated by a MetallicRoughnessTexture.
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- RoughnessFactor
- RF
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- The metallic roughness texture image. Please supply a bitmap or a publicly accessible URL. The blue channel of this image defines metalness, the green channel defines roughness.
- bbc6f753-e359-4421-93e8-32b2e4843d6a
- MetallicRoughnessTexture
- MRT
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- The normal texture image. Please supply a bitmap or a publicly accessible URL.
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- NormalTexture
- NT
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- Defines how emissive the material appears. Can be modulated by using an EmissiveTexture.
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- The emissive texture image. Please supply a bitmap or a publicly accessible URL.
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- EmissiveTexture
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- One of OPAQUE (ignore the base color alpha channel), BLEND (use the base color alpha channel), MASK (don’t show parts whose alpha value is below AlphaCutoff).
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- AlphaMode
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- The alpha cutoff value of the material.
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- AlphaCutoff
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- Specifies whether the material is double sided.
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- DoubleSided
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- glTF 2.0 Material, connect this to a glTF 2.0 Display component.
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- Material
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- Download Export
- Let users download a file from the ShapeDiver viewer.
CAUTION: The exported data will be publicly available from the ShapeDiver viewer. Use the email export if you want the exported data to be kept private.
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- Download Export
- Download STL
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- Data (geometry, text, bitmap or document) to be exported.
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- Data
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- Format and export options for the exported file.
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- Options
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- Name of the exported file.
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- Name
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- Stl Export Options
- Export to a stl file and configure which export options to use.
- 3007b7a2-3ec1-4197-b394-185b8278050e
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- Stl Export Options
- ExportStl
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- Export file as binary or ASCII.
- ead42b20-c5ff-4817-8e8b-ec12aa6fe7ac
- File Format
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- User defined export options
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- Options
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- Value List
- Provides a list of preset values to choose from
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- Value List
- STL type
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- "Binary"
- Binary
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- ASCII
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- Panel
- A panel for custom notes and text values
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- Mesh
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- Mesh
- Mesh
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