xsl
db32fa12e5
- 从head3d复制发际线检测管线到 hairline/ 包：MediaPipe Tasks + SegFormer分割 + 17锚点射线检测 + 502点mesh(face_ext.obj)+UV - 复制模型：face_landmarker.task(3.7MB)、SegFormer config/preprocessor (model.safetensors 340MB 单独下载中) - 新增 docs/接口2-C端生发-技术实现方案.md：第一步=发际线曲线叠加预览图， 新增gender必填参数，按性别贴图数量输出(female5/male4)，hairline_type英文key， 服务端cv2逐三角形warp渲染器(head3d只有浏览器端Three.js渲染) - 接口文档.md 接口2章节同步：gender参数、输出语义、错误码说明 - hairline_texture/ 9张发际线贴图入库
56 lines
2.7 KiB
Python
56 lines
2.7 KiB
Python
"""Auto-extracted indexMap[468] from the SDK's hardcode_data.h.
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Each entry: OBJ-vertex-index i -> MediaPipe canonical landmark index.
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Do not edit by hand; regenerate from the C++ source.
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"""
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INDEX_MAP_468 = [
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127, 34, 139, 11, 0, 37, 232, 231, 120, 72,
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39, 128, 121, 47, 104, 69, 67, 175, 171, 148,
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118, 50, 101, 73, 40, 9, 151, 108, 48, 115,
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131, 194, 204, 211, 74, 185, 80, 42, 183, 92,
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186, 230, 229, 202, 212, 214, 83, 18, 17, 76,
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61, 146, 160, 29, 30, 56, 157, 173, 106, 135,
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192, 203, 165, 98, 21, 71, 68, 51, 45, 4,
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144, 24, 23, 77, 91, 205, 187, 201, 200, 182,
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90, 181, 85, 84, 206, 36, 140, 193, 189, 244,
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159, 158, 28, 247, 246, 161, 236, 3, 196, 54,
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168, 8, 117, 228, 31, 55, 97, 99, 126, 100,
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166, 79, 218, 155, 154, 26, 209, 49, 136, 150,
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217, 223, 52, 53, 134, 170, 43, 119, 226, 130,
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63, 238, 20, 242, 46, 70, 156, 78, 62, 96,
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143, 227, 123, 111, 44, 125, 19, 216, 153, 22,
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167, 208, 142, 57, 60, 35, 113, 27, 210, 225,
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137, 116, 41, 38, 129, 64, 240, 102, 207, 184,
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169, 149, 176, 105, 66, 122, 6, 147, 65, 107,
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89, 180, 93, 15, 86, 14, 87, 145, 88, 179,
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95, 138, 172, 215, 58, 219, 81, 195, 199, 82,
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163, 110, 234, 109, 235, 191, 222, 141, 221, 197,
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25, 7, 33, 220, 237, 245, 162, 188, 174, 2,
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241, 164, 12, 13, 198, 133, 112, 243, 239, 190,
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32, 178, 132, 177, 1, 213, 59, 94, 75, 224,
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233, 114, 124, 356, 389, 368, 302, 267, 452, 350,
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349, 303, 269, 357, 343, 277, 453, 333, 332, 297,
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152, 377, 347, 348, 330, 304, 270, 336, 337, 278,
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279, 360, 418, 262, 431, 408, 409, 310, 415, 407,
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410, 450, 422, 430, 434, 313, 314, 306, 307, 375,
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387, 388, 260, 286, 414, 398, 335, 406, 364, 367,
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416, 423, 358, 327, 251, 284, 298, 281, 5, 373,
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374, 253, 320, 321, 425, 427, 411, 421, 405, 404,
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315, 16, 426, 266, 400, 369, 322, 391, 417, 465,
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464, 386, 257, 258, 466, 456, 399, 419, 285, 346,
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340, 261, 413, 441, 460, 328, 355, 371, 329, 392,
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439, 438, 382, 341, 256, 429, 420, 394, 379, 437,
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443, 444, 283, 275, 440, 363, 338, 273, 451, 446,
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342, 467, 293, 334, 282, 458, 461, 462, 276, 353,
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383, 308, 324, 325, 300, 372, 345, 447, 352, 274,
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248, 436, 381, 252, 393, 428, 287, 250, 384, 265,
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259, 424, 292, 366, 271, 294, 455, 272, 432, 395,
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299, 351, 280, 319, 295, 296, 403, 323, 454, 316,
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380, 318, 402, 365, 435, 397, 344, 311, 291, 396,
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268, 445, 254, 339, 449, 264, 10, 442, 370, 263,
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255, 359, 412, 301, 378, 326, 457, 362, 459, 463,
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354, 401, 361, 309, 376, 433, 289, 305, 448, 290,
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288, 249, 103, 385, 331, 317, 312, 390,
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]
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