mirror of
https://github.com/tym1116/BH3.git
synced 2025-12-16 16:34:41 +01:00
131 lines
12 KiB
Plaintext
131 lines
12 KiB
Plaintext
%YAML 1.1
|
|
%TAG !u! tag:unity3d.com,2011:
|
|
--- !u!43 &4300000
|
|
Mesh:
|
|
serializedVersion: 8
|
|
m_ObjectHideFlags: 0
|
|
m_PrefabParentObject: {fileID: 0}
|
|
m_PrefabInternal: {fileID: 0}
|
|
m_Name: Sword_L
|
|
m_SubMeshes:
|
|
- serializedVersion: 2
|
|
firstByte: 0
|
|
indexCount: 414
|
|
topology: 0
|
|
firstVertex: 0
|
|
vertexCount: 127
|
|
localAABB:
|
|
m_Center: {x: 0.08818601, y: 0.014850466, z: 0.52173454}
|
|
m_Extent: {x: 0.14407843, y: 0.07177783, z: 0.7225507}
|
|
m_Shapes:
|
|
vertices: []
|
|
shapes: []
|
|
channels: []
|
|
fullWeights: []
|
|
m_BindPose: []
|
|
m_BoneNameHashes:
|
|
m_RootBoneNameHash: 0
|
|
m_MeshCompression: 0
|
|
m_IsReadable: 0
|
|
m_KeepVertices: 1
|
|
m_KeepIndices: 1
|
|
m_IndexBuffer: 09000a000b0009000b00000001000a00090001000d000a0008000d00010008000c000d003c000c0008003c0011000c00180011003c001800100011001500100018000a001f000b0020000b001f0020000f000b000f0000000b0020000e000f0020001a000e0012000e001a001a001c001200120013000e001c00030012001c00040003001c00050004001c001d00050006000e001300120003000600120006001300060002000e000e00020007000e0007000f000f0007000000750003000400750004000500750005001d0075004500030045000600030045007500710071004100450006004100020041000700020070004100710070004200410041004200070042000000070070003e00420042003e000000090000003e0009003e003d00700072003e003d003e007200010009003d0001003d004000080001004000080040003f003c0008003f003c003f00440018003c0044001800440043006d00180043003d007200790040003d0079003f0040007a00400079007a003f007a00740073003f00740044003f007300430044007d0043007d007b0043007b007c006d0043007c0044007e007d00440073007e006d007c006e006c006d006e006c006e006f0078006c006f00780077006c0076007700780027001b001600270016001500150016002100150021001000100021002200100022002300100023001100110023001900110019002500110025000c00250024000c000c00240017000c0017000d000d00170026000d0026000a000a0026001f0028001e0014001e00270014001e001b002700470048003600470036002e00500047002e0050002e002f004f0050002f004f002f00370048002d00360048004d002d004d0034002d004d004e0034006a004f0037006a0037003a006a003a006b0049004a003800490038002c00510049002c0051002c0030005300510030005300300031004a00690038004a00680069004b004c002b004b002b0039004c0052002b0061004b0039006100390029005400550056005400560032005700580059005700590033005a005b0035005a0035005c005d005e005f005d005f006000620063006400620064003b00650066006700650067002a00410046004500060046004100450046000600
|
|
m_Skin: []
|
|
m_VertexData:
|
|
m_CurrentChannels: 11
|
|
m_VertexCount: 127
|
|
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: 24
|
|
format: 0
|
|
dimension: 2
|
|
- 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: 4064
|
|
_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: 0.08818601, y: 0.014850466, z: 0.52173454}
|
|
m_Extent: {x: 0.14407843, y: 0.07177783, z: 0.7225507}
|
|
m_MeshUsageFlags: 0
|
|
m_BakedConvexCollisionMesh:
|
|
m_BakedTriangleCollisionMesh:
|
|
m_MeshOptimized: 1
|