%YAML 1.1 %TAG !u! tag:unity3d.com,2011: --- !u!43 &4300000 Mesh: m_ObjectHideFlags: 0 m_CorrespondingSourceObject: {fileID: 0} m_PrefabInstance: {fileID: 0} m_PrefabAsset: {fileID: 0} m_Name: lowerarm_l_ConvexHull_1 serializedVersion: 11 m_SubMeshes: - serializedVersion: 2 firstByte: 0 indexCount: 738 topology: 0 baseVertex: 0 firstVertex: 0 vertexCount: 125 localAABB: m_Center: {x: -0.0026465673, y: 0.1324133, z: 0.004051693} m_Extent: {x: 0.051194645, y: 0.15081331, z: 0.05334859} m_Shapes: vertices: [] shapes: [] channels: [] fullWeights: [] m_BindPose: [] m_BoneNameHashes: m_RootBoneNameHash: 0 m_BonesAABB: [] m_VariableBoneCountWeights: m_Data: m_MeshCompression: 0 m_IsReadable: 1 m_KeepVertices: 1 m_KeepIndices: 1 m_IndexFormat: 0 m_IndexBuffer: 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 m_VertexData: serializedVersion: 3 m_VertexCount: 125 m_Channels: - stream: 0 offset: 0 format: 0 dimension: 3 - stream: 0 offset: 12 format: 0 dimension: 3 - stream: 0 offset: 0 format: 0 dimension: 0 - stream: 0 offset: 0 format: 0 dimension: 0 - stream: 0 offset: 0 format: 0 dimension: 0 - stream: 0 offset: 0 format: 0 dimension: 0 - stream: 0 offset: 0 format: 0 dimension: 0 - stream: 0 offset: 0 format: 0 dimension: 0 - stream: 0 offset: 0 format: 0 dimension: 0 - stream: 0 offset: 0 format: 0 dimension: 0 - stream: 0 offset: 0 format: 0 dimension: 0 - stream: 0 offset: 0 format: 0 dimension: 0 - stream: 0 offset: 0 format: 0 dimension: 0 - stream: 0 offset: 0 format: 0 dimension: 0 m_DataSize: 3000 _typelessdata: 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 m_CompressedMesh: m_Vertices: m_NumItems: 0 m_Range: 0 m_Start: 0 m_Data: m_BitSize: 0 m_UV: m_NumItems: 0 m_Range: 0 m_Start: 0 m_Data: m_BitSize: 0 m_Normals: m_NumItems: 0 m_Range: 0 m_Start: 0 m_Data: m_BitSize: 0 m_Tangents: m_NumItems: 0 m_Range: 0 m_Start: 0 m_Data: m_BitSize: 0 m_Weights: m_NumItems: 0 m_Data: m_BitSize: 0 m_NormalSigns: m_NumItems: 0 m_Data: m_BitSize: 0 m_TangentSigns: m_NumItems: 0 m_Data: m_BitSize: 0 m_FloatColors: m_NumItems: 0 m_Range: 0 m_Start: 0 m_Data: m_BitSize: 0 m_BoneIndices: m_NumItems: 0 m_Data: m_BitSize: 0 m_Triangles: m_NumItems: 0 m_Data: m_BitSize: 0 m_UVInfo: 0 m_LocalAABB: m_Center: {x: -0.0026465673, y: 0.1324133, z: 0.004051693} m_Extent: {x: 0.051194645, y: 0.15081331, z: 0.05334859} m_MeshUsageFlags: 0 m_CookingOptions: 30 m_BakedConvexCollisionMesh: m_BakedTriangleCollisionMesh: 'm_MeshMetrics[0]': 1 'm_MeshMetrics[1]': 1 m_MeshOptimizationFlags: 1 m_StreamData: serializedVersion: 2 offset: 0 size: 0 path: