Files
RoomAwareVR/Assets/_Geometrie/Humans/lowerarm_r_ConvexHull_3.asset

168 lines
9.8 KiB
Plaintext

%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_r_ConvexHull_3
serializedVersion: 11
m_SubMeshes:
- serializedVersion: 2
firstByte: 0
indexCount: 558
topology: 0
baseVertex: 0
firstVertex: 0
vertexCount: 95
localAABB:
m_Center: {x: 0.006302517, y: 0.1270408, z: 0.006631581}
m_Extent: {x: 0.040133208, y: 0.14759332, z: 0.040158734}
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: 00000100020001000300020004000500060003000100070008000300070009000a000b000a0000000b0009000b000c00030008000d000e000f001000020003001100030012001100120002001100000002001300020014001300140002001500060016001700180019001a0004001b001c00080007001d00010000001e0000000a001e00000016001f0016000b001f000b0000001f001600060020000600050020000b001600200018002100220021001b0022001b000f0022000f00230022002300240022001900180022000f000e0025000e002600250026002300250023000f0025002700280029002800260029000d0008002a0008002b002a002b0028002a0028002c002a002c000d002a00140016002d00160000002d00000013002d00130014002d00160014002e00020012002f00120003002f0030002700310027003200310032003300310033003400310034003000310033003500360035002e00360034003300360033003200370032001000370010000f0037000f00380037000f001b0039001b000400390004003800390038000f003900210018003a0018001a003a00200005003b001d0007003c000c003d003e00190022003e00260028003f0028002b003f0008001d0040001d003c0040002b000800400026000e0041002900260041002700300042002c002800420028002700420003000d0043000d002c00430002002f0044002f003400440034003600440036002e0044002e001400440014001500440015000200440006001700450017001600450043002c0046002c004200460042003000460030003400460034002f0046002f000300460005000400470004001c0047001c001b0047001b002100470021003a0047003a001a0047003b000500470019003e0048003e003d0048003d000c0048000c000b0048000b002000480020003b0048003b001900480049004a004b004a003c004b003c0007004b00070001004c0049004b004c004b0007004c004a0049004d00220024004e0024004f004e004f0022004e004f002400500024002300510023002600510026003f0051003f002b0051000e001000520010003200520041000e00520035003300530033003700530037003800530038004500530038000400540004000600540006004500540045003800540016002e0055002e00350055003500530055005300450055004500160055000300430056004300460056004600030056001a001900570019003b0057003b004700570047001a00570001001e0058001e000a0058000a000900580009000c0058000c004d0058004d004900580049004c0058004c00010058004d000c0059003c004a005a004a0050005a00500040005a0040003c005a002b0040005b00400050005b00500024005b00240051005b0051002b005b00320027005c00270029005c00290041005c00410052005c00520032005c000c003e005d003e0022005d0022004f005d0059000c005d004f0050005e0050004a005e004a004d005e004d0059005e0059005d005e005d004f005e00
m_VertexData:
serializedVersion: 3
m_VertexCount: 95
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: 2280
_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: 0.006302517, y: 0.1270408, z: 0.006631581}
m_Extent: {x: 0.040133208, y: 0.14759332, z: 0.040158734}
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: