From bd1b7e66c8c5bb9bfc77b0b117c9e24bdbfdb241 Mon Sep 17 00:00:00 2001 From: xiangsilian Date: Tue, 5 May 2026 21:44:42 +0800 Subject: [PATCH] save code --- .claude/settings.local.json | 11 + python/README.md | 146 ++ python/requirements.txt | 7 + python/server/__init__.py | 0 .../__pycache__/__init__.cpython-312.pyc | Bin 0 -> 134 bytes .../__pycache__/index_map.cpython-312.pyc | Bin 0 -> 3034 bytes .../server/__pycache__/mesh.cpython-312.pyc | Bin 0 -> 3306 bytes python/server/assets/face_picture_3dmax.obj | 2279 +++++++++++++++++ python/server/effects/1.png | Bin 0 -> 7334 bytes python/server/effects/11.png | Bin 0 -> 4224 bytes python/server/effects/12.png | Bin 0 -> 4466 bytes python/server/effects/13.png | Bin 0 -> 4429 bytes python/server/effects/14.png | Bin 0 -> 1984 bytes python/server/effects/21.png | Bin 0 -> 4079 bytes python/server/effects/23.png | Bin 0 -> 1852 bytes python/server/effects/24.png | Bin 0 -> 5665 bytes python/server/effects/26.png | Bin 0 -> 9154 bytes 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100644 python/server/effects/68.png create mode 100644 python/server/effects/7.png create mode 100644 python/server/effects/71.png create mode 100644 python/server/effects/76.png create mode 100644 python/server/effects/77.png create mode 100644 python/server/effects/78.png create mode 100644 python/server/effects/80.png create mode 100644 python/server/effects/81.png create mode 100644 python/server/effects/82.png create mode 100644 python/server/face_renderer.py create mode 100644 python/server/index_map.py create mode 100644 python/server/main.py create mode 100644 python/server/mesh.py diff --git a/.claude/settings.local.json b/.claude/settings.local.json new file mode 100644 index 0000000..e2a98c8 --- /dev/null +++ b/.claude/settings.local.json @@ -0,0 +1,11 @@ +{ + "permissions": { + "allow": [ + "Bash(awk '/^vt / {print $2, $3}' D:/face_sdk/app/src/main/assets/face_picture_3dmax.obj)", + "Bash(awk 'BEGIN{minu=99;maxu=-99;minv=99;maxv=-99} {if\\($1maxu\\)maxu=$1; if\\($2maxv\\)maxv=$2} END{print \"u:\",minu,maxu,\" v:\",minv,maxv}')", + "Bash(python -c \"from PIL import Image; print\\(Image.open\\('D:/face_sdk/example/src/main/assets/pic/4ex.png'\\).size\\)\")", + "Bash(python -c ' *)", + "Bash(python -c \"import sys; print\\(sys.executable\\)\")" + ] + } +} diff --git a/python/README.md b/python/README.md new file mode 100644 index 0000000..8a97bfe --- /dev/null +++ b/python/README.md @@ -0,0 +1,146 @@ +# Face SDK Web 服务 + +把 Android Face SDK 的人脸贴图渲染逻辑迁移到 Python Web 服务：上传一张人物图 + 效果 ID， +返回叠加渲染后的 PNG。CPU 实现（OpenCV 仿射 warp + alpha 混合），不依赖 GPU。 + +--- + +## 渲染原理（与 Android SDK 一致） + +``` +input image ──► MediaPipe FaceLandmarker ──► 478 normalized landmarks + │ + ▼ + face_picture_3dmax.obj (468 顶点+UV / 852 三角形) + 每个 obj 顶点 i 的画面位置 = landmarks[INDEX_MAP[i]] + │ + ▼ + 每个三角形： + src = obj UV × effect 贴图尺寸 (在 512×512 effect 里) + dst = landmarks 像素位置 (在 input image 里) + cv2.getAffineTransform → cv2.warpAffine → alpha 混合 + │ + ▼ + output PNG（同原图尺寸） +``` + +`INDEX_MAP[468]` 同步自 `vulkan/hardcode_data.h::indexMap`，UV 的 V 翻转与 +`vulkan/FaceApp.cpp::LoadOBJ` 行为一致。 + +--- + +## 目录结构 + +``` +python/ +├── server/ +│ ├── main.py FastAPI 入口（/health /effects /render） +│ ├── face_renderer.py 渲染核心 +│ ├── mesh.py OBJ 解析 +│ ├── index_map.py OBJ vertex → MediaPipe landmark 映射 +│ ├── assets/ +│ │ ├── face_picture_3dmax.obj ← 来自 app/src/main/assets +│ │ └── face_landmarker.task ← 可选；不放则自动回退到 app/src/main/assets/ +│ └── effects/ +│ └── 1.png 512×512 RGBA 效果贴图，文件名是效果 ID（1-99） +└── requirements.txt +``` + +--- + +## 一次性安装 + +需要 Python 3.10–3.12（mediapipe 当前不支持 3.13）。 + +```powershell +# Windows PowerShell（或 cmd） +cd D:\face_sdk\python +python -m venv venv +.\venv\Scripts\Activate.ps1 # cmd 用 .\venv\Scripts\activate.bat +pip install --upgrade pip +pip install -r requirements.txt +``` + +```bash +# Linux / macOS +cd /path/to/face_sdk/python +python3 -m venv venv +source venv/bin/activate +pip install --upgrade pip +pip install -r requirements.txt +``` + +--- + +## 启动服务 + +```powershell +cd D:\face_sdk\python +.\venv\Scripts\Activate.ps1 +uvicorn server.main:app --host 0.0.0.0 --port 8000 +``` + +启动日志看到 `Application startup complete.` 即就绪。 + +--- + +## API + +### `GET /health` +```json +{"ok": true} +``` + +### `GET /effects` +返回当前 `server/effects/` 下存在的效果 ID（按 `.png` 文件名提取，1–99）： +```json +{"effects": [1]} +``` + +### `POST /render` +- form-data： + - `image`: 文件（jpeg / png / webp，≤ 20MB） + - `effect_id`: 整数（1–99，必须在 `/effects` 列表内） +- 成功：`200`，`Content-Type: image/png`，body 是 PNG 字节 +- 没检测到人脸：`400 {"error":"no_face"}` +- effect_id 不存在：`404` +- 参数错误（图非法 / 太大 / id 越界）：`400` + +#### curl 示例 + +```bash +curl -X POST http://localhost:8000/render \ + -F image=@/path/to/photo.jpg \ + -F effect_id=1 \ + --output result.png +``` + +#### Python 示例 + +```python +import requests +files = {"image": open("photo.jpg", "rb")} +data = {"effect_id": 1} +r = requests.post("http://localhost:8000/render", files=files, data=data) +r.raise_for_status() +open("result.png", "wb").write(r.content) +``` + +--- + +## 添加新效果 + +把一张 512×512 的 RGBA PNG 放到 `python/server/effects/.png`（`` 是 1–99 的整数）。 +服务下次响应 `/effects` 时会自动列出；首次被请求时按需载入并缓存内存。 + +PNG 必须有 alpha 通道——透明区域不会盖到原图上。 + +--- + +## 已知限制 + +- 纯 2D 仿射 warp，与 Android SDK 行为一致：人脸侧面角度大时贴图会拉伸。 +- MediaPipe FaceLandmarker 每次 `detect()` 不保证多线程并发安全，服务用锁串行化。 + 单进程同步部署够用；要更高并发请用多 worker 或前置队列。 +- 单张 4K 图渲染约 100–300ms（852 三角形 × `cv2.warpAffine`）；如需更快可改成 + `cv2.remap` 一次性贴整脸，但需要更多代码。 diff --git a/python/requirements.txt b/python/requirements.txt new file mode 100644 index 0000000..dcd3160 --- /dev/null +++ b/python/requirements.txt @@ -0,0 +1,7 @@ +fastapi>=0.110 +uvicorn[standard]>=0.27 +python-multipart>=0.0.9 +mediapipe>=0.10.14 +opencv-python>=4.9 +pillow>=10.0 +numpy>=1.26,<2.0 diff --git a/python/server/__init__.py b/python/server/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/python/server/__pycache__/__init__.cpython-312.pyc 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MediaPipe 检测，挑最大人脸 + landmarks_norm = self._detect_largest_face(img_rgb) # (N,2) ∈ [0,1]² (N>=468) + + # 3. obj 顶点 → 像素坐标 + dst_xy = self._compute_dst_vertices(landmarks_norm, w, h) + + # 4. warp + 混合 + out = img_rgb.copy() + self._composite(out, effect_rgba, dst_xy) + + # 5. 编码 PNG + return self._encode_png(out) + + # ---------- internals ---------- + + def _load_effect(self, effect_id: int) -> np.ndarray: + if not (1 <= effect_id <= 99): + raise EffectNotFoundError(f"effect_id out of range: {effect_id}") + with self._cache_lock: + cached = self._effect_cache.get(effect_id) + if cached is not None: + return cached + png_path = self.paths.effects_dir / f"{effect_id}.png" + if not png_path.is_file(): + raise EffectNotFoundError(f"effect {effect_id} not found") + # 用 PIL 解码以保证 RGBA 一致；OpenCV imread 对部分 PNG 会丢 alpha + img = Image.open(png_path).convert("RGBA") + arr = np.array(img, dtype=np.uint8) # (H,W,4) RGBA + with self._cache_lock: + self._effect_cache[effect_id] = arr + return arr + + def _decode_input(self, image_bytes: bytes) -> np.ndarray: + try: + pil = Image.open(io.BytesIO(image_bytes)) + pil = ImageOps.exif_transpose(pil) # 处理手机 EXIF 旋转 + pil = pil.convert("RGB") + except Exception as e: + raise ValueError(f"invalid image: {e}") from e + return np.array(pil, dtype=np.uint8) + + def _ensure_landmarker(self): + if self._landmarker is not None: + return + with self._landmarker_lock: + if self._landmarker is not None: + return + # 延迟 import，避免单元测试时强依赖 mediapipe + from mediapipe.tasks import python as mp_python + from mediapipe.tasks.python import vision as mp_vision + + model_path = self._find_model_file() + base_options = mp_python.BaseOptions(model_asset_path=str(model_path)) + options = mp_vision.FaceLandmarkerOptions( + base_options=base_options, + running_mode=mp_vision.RunningMode.IMAGE, + num_faces=5, # 检测最多 5 张，挑最大那张 + min_face_detection_confidence=0.5, + min_face_presence_confidence=0.5, + min_tracking_confidence=0.5, + output_face_blendshapes=False, + output_facial_transformation_matrixes=False, + ) + self._landmarker = mp_vision.FaceLandmarker.create_from_options(options) + + def _find_model_file(self) -> Path: + """优先用本服务 assets 下的，找不到再回退到仓库 app/src/main/assets。""" + local = self.paths.obj_path.parent / "face_landmarker.task" + if local.is_file(): + return local + # 回退到仓库 app/src/main/assets/face_landmarker.task（Android SDK 用同一份） + repo_root = self.paths.obj_path.resolve().parents[3] + fallback = repo_root / "app" / "src" / "main" / "assets" / "face_landmarker.task" + if fallback.is_file(): + return fallback + raise FileNotFoundError( + "face_landmarker.task not found; place it under " + f"{local} or {fallback}" + ) + + def _detect_largest_face(self, img_rgb: np.ndarray) -> np.ndarray: + self._ensure_landmarker() + import mediapipe as mp + + mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=img_rgb) + with self._landmarker_lock: + result = self._landmarker.detect(mp_image) + + faces = result.face_landmarks or [] + if not faces: + raise NoFaceError("no face detected") + + # 选 bbox 面积最大的那张 + def bbox_area(landmarks) -> float: + xs = [lm.x for lm in landmarks] + ys = [lm.y for lm in landmarks] + return (max(xs) - min(xs)) * (max(ys) - min(ys)) + + biggest = max(faces, key=bbox_area) + # 转 ndarray，只取 xy + n = len(biggest) + arr = np.empty((n, 2), dtype=np.float32) + for i, lm in enumerate(biggest): + arr[i, 0] = lm.x + arr[i, 1] = lm.y + return arr + + def _compute_dst_vertices( + self, landmarks_norm: np.ndarray, w: int, h: int + ) -> np.ndarray: + """ + landmarks_norm: (N, 2) ∈ [0,1]² + 返回 (468, 2) float32 像素坐标，对应 mesh 的 468 个顶点。 + """ + n_landmarks = landmarks_norm.shape[0] + if self._index_map.max() >= n_landmarks: + raise RuntimeError( + f"INDEX_MAP references landmark index {int(self._index_map.max())} " + f"but mediapipe returned only {n_landmarks} landmarks" + ) + picked = landmarks_norm[self._index_map] # (468, 2) + out = np.empty_like(picked) + out[:, 0] = picked[:, 0] * w + out[:, 1] = picked[:, 1] * h + return out.astype(np.float32) + + def _composite( + self, + canvas_rgb: np.ndarray, + effect_rgba: np.ndarray, + dst_xy: np.ndarray, + ) -> None: + """ + 在 canvas_rgb（uint8 H×W×3，原地修改）上对 mesh 每个三角形： + 从 effect_rgba 取对应 src 三角形 → warpAffine 到 dst → alpha 混合。 + """ + eh, ew = effect_rgba.shape[:2] + canvas_h, canvas_w = canvas_rgb.shape[:2] + uvs = self._mesh.uvs # (468, 2) + tris = self._mesh.triangles # (852, 3) + + # 把 UV 一次性转成 effect 像素坐标 + src_pts_all = np.empty_like(uvs) + src_pts_all[:, 0] = uvs[:, 0] * ew + src_pts_all[:, 1] = uvs[:, 1] * eh + + effect_rgb = effect_rgba[..., :3] + effect_a = effect_rgba[..., 3] + + for tri in tris: + i0, i1, i2 = int(tri[0]), int(tri[1]), int(tri[2]) + src_tri = np.float32([src_pts_all[i0], src_pts_all[i1], src_pts_all[i2]]) + dst_tri = np.float32([dst_xy[i0], dst_xy[i1], dst_xy[i2]]) + + # 用 dst bbox 限定计算区域，避免对全画布 warp + x_min = int(np.floor(dst_tri[:, 0].min())) + y_min = int(np.floor(dst_tri[:, 1].min())) + x_max = int(np.ceil(dst_tri[:, 0].max())) + y_max = int(np.ceil(dst_tri[:, 1].max())) + + # clip 到画布 + x_min_c = max(0, x_min) + y_min_c = max(0, y_min) + x_max_c = min(canvas_w, x_max) + y_max_c = min(canvas_h, y_max) + if x_max_c <= x_min_c or y_max_c <= y_min_c: + continue + + box_w = x_max_c - x_min_c + box_h = y_max_c - y_min_c + + # 构造从 src → 局部 bbox 坐标系（左上为原点）的仿射 + dst_tri_local = dst_tri - np.array([x_min_c, y_min_c], dtype=np.float32) + M = cv2.getAffineTransform(src_tri, dst_tri_local) + + # 给 RGB 和 alpha 分别 warp 到 bbox 大小 + warped_rgb = cv2.warpAffine( + effect_rgb, + M, + (box_w, box_h), + flags=cv2.INTER_LINEAR, + borderMode=cv2.BORDER_REPLICATE, + ) + warped_a = cv2.warpAffine( + effect_a, + M, + (box_w, box_h), + flags=cv2.INTER_LINEAR, + borderMode=cv2.BORDER_CONSTANT, + borderValue=0, + ) + + # 限制只在三角形内部混合（防止 bbox 多余像素污染） + tri_mask = np.zeros((box_h, box_w), dtype=np.uint8) + cv2.fillConvexPoly( + tri_mask, + dst_tri_local.astype(np.int32), + 255, + lineType=cv2.LINE_AA, + ) + alpha = ( + warped_a.astype(np.float32) * (tri_mask.astype(np.float32) / 255.0) + ) / 255.0 + alpha = alpha[..., None] # (h,w,1) + + roi = canvas_rgb[y_min_c:y_max_c, x_min_c:x_max_c].astype(np.float32) + blended = roi * (1.0 - alpha) + warped_rgb.astype(np.float32) * alpha + canvas_rgb[y_min_c:y_max_c, x_min_c:x_max_c] = np.clip( + blended, 0, 255 + ).astype(np.uint8) + + def _encode_png(self, img_rgb: np.ndarray) -> bytes: + pil = Image.fromarray(img_rgb) + buf = io.BytesIO() + pil.save(buf, format="PNG") + return buf.getvalue() diff --git a/python/server/index_map.py b/python/server/index_map.py new file mode 100644 index 0000000..bcf7ae4 --- /dev/null +++ b/python/server/index_map.py @@ -0,0 +1,61 @@ +""" +OBJ 顶点索引 → MediaPipe FaceLandmarker landmark 索引的映射表。 + +直接从 vulkan/hardcode_data.h::indexMap[468] 同步而来。意义： + obj 顶点 i 在画面中的位置 = mediapipe_landmarks[INDEX_MAP[i]] + +注意：face_picture_3dmax.obj 的顶点数量必须正好 468，与本表长度一致。 +若以后换 obj，需要重新生成本表。 +""" + +INDEX_MAP = [ + 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, + 39, 128, 121, 47, 104, 69, 67, 175, 171, 148, + 118, 50, 101, 73, 40, 9, 151, 108, 48, 115, + 131, 194, 204, 211, 74, 185, 80, 42, 183, 92, + 186, 230, 229, 202, 212, 214, 83, 18, 17, 76, + 61, 146, 160, 29, 30, 56, 157, 173, 106, 135, + 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, + 144, 24, 23, 77, 91, 205, 187, 201, 200, 182, + 90, 181, 85, 84, 206, 36, 140, 193, 189, 244, + 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, + 168, 8, 117, 228, 31, 55, 97, 99, 126, 100, + 166, 79, 218, 155, 154, 26, 209, 49, 136, 150, + 217, 223, 52, 53, 134, 170, 43, 119, 226, 130, + 63, 238, 20, 242, 46, 70, 156, 78, 62, 96, + 143, 227, 123, 111, 44, 125, 19, 216, 153, 22, + 167, 208, 142, 57, 60, 35, 113, 27, 210, 225, + 137, 116, 41, 38, 129, 64, 240, 102, 207, 184, + 169, 149, 176, 105, 66, 122, 6, 147, 65, 107, + 89, 180, 93, 15, 86, 14, 87, 145, 88, 179, + 95, 138, 172, 215, 58, 219, 81, 195, 199, 82, + 163, 110, 234, 109, 235, 191, 222, 141, 221, 197, + 25, 7, 33, 220, 237, 245, 162, 188, 174, 2, + 241, 164, 12, 13, 198, 133, 112, 243, 239, 190, + 32, 178, 132, 177, 1, 213, 59, 94, 75, 224, + 233, 114, 124, 356, 389, 368, 302, 267, 452, 350, + 349, 303, 269, 357, 343, 277, 453, 333, 332, 297, + 152, 377, 347, 348, 330, 304, 270, 336, 337, 278, + 279, 360, 418, 262, 431, 408, 409, 310, 415, 407, + 410, 450, 422, 430, 434, 313, 314, 306, 307, 375, + 387, 388, 260, 286, 414, 398, 335, 406, 364, 367, + 416, 423, 358, 327, 251, 284, 298, 281, 5, 373, + 374, 253, 320, 321, 425, 427, 411, 421, 405, 404, + 315, 16, 426, 266, 400, 369, 322, 391, 417, 465, + 464, 386, 257, 258, 466, 456, 399, 419, 285, 346, + 340, 261, 413, 441, 460, 328, 355, 371, 329, 392, + 439, 438, 382, 341, 256, 429, 420, 394, 379, 437, + 443, 444, 283, 275, 440, 363, 338, 273, 451, 446, + 342, 467, 293, 334, 282, 458, 461, 462, 276, 353, + 383, 308, 324, 325, 300, 372, 345, 447, 352, 274, + 248, 436, 381, 252, 393, 428, 287, 250, 384, 265, + 259, 424, 292, 366, 271, 294, 455, 272, 432, 395, + 299, 351, 280, 319, 295, 296, 403, 323, 454, 316, + 380, 318, 402, 365, 435, 397, 344, 311, 291, 396, + 268, 445, 254, 339, 449, 264, 10, 442, 370, 263, + 255, 359, 412, 301, 378, 326, 457, 362, 459, 463, + 354, 401, 361, 309, 376, 433, 289, 305, 448, 290, + 288, 249, 103, 385, 331, 317, 312, 390, +] + +assert len(INDEX_MAP) == 468, f"INDEX_MAP must have 468 entries, got {len(INDEX_MAP)}" diff --git a/python/server/main.py b/python/server/main.py new file mode 100644 index 0000000..8b3ee79 --- /dev/null +++ b/python/server/main.py @@ -0,0 +1,62 @@ +""" +FastAPI 入口。启动： + + python -m uvicorn server.main:app --host 0.0.0.0 --port 8000 + +或在 python/ 目录下： + + uvicorn server.main:app --host 0.0.0.0 --port 8000 +""" + +from __future__ import annotations + +from pathlib import Path + +from fastapi import FastAPI, File, Form, HTTPException, UploadFile +from fastapi.responses import JSONResponse, Response + +from .face_renderer import ( + EffectNotFoundError, + FaceRenderer, + NoFaceError, + RendererPaths, +) + +# 路径相对本文件，避免 cwd 不同时找不到资源 +_SERVER_DIR = Path(__file__).resolve().parent +_PATHS = RendererPaths( + obj_path=_SERVER_DIR / "assets" / "face_picture_3dmax.obj", + effects_dir=_SERVER_DIR / "effects", +) + +app = FastAPI(title="Face SDK Web", version="0.1.0") +renderer = FaceRenderer(_PATHS) + + +@app.get("/health") +def health() -> dict: + return {"ok": True} + + +@app.get("/effects") +def list_effects() -> dict: + return {"effects": renderer.list_effect_ids()} + + +@app.post("/render") +async def render( + image: UploadFile = File(...), + effect_id: int = Form(...), +) -> Response: + image_bytes = await image.read() + if not image_bytes: + raise HTTPException(status_code=400, detail="empty image") + try: + png_bytes = renderer.render(image_bytes, effect_id) + except NoFaceError: + return JSONResponse(status_code=400, content={"error": "no_face"}) + except EffectNotFoundError as e: + raise HTTPException(status_code=404, detail=str(e)) + except ValueError as e: + raise HTTPException(status_code=400, detail=str(e)) + return Response(content=png_bytes, media_type="image/png") diff --git a/python/server/mesh.py b/python/server/mesh.py new file mode 100644 index 0000000..5452b58 --- /dev/null +++ b/python/server/mesh.py @@ -0,0 +1,75 @@ +""" +解析 face_picture_3dmax.obj，得到顶点 UV 和三角形索引。 + +OBJ 约定：v 顶点 / vt UV / vn 法线，f 三元组 v/vt/vn 索引（1-based）。 +本服务只需要每个顶点的 UV 和三角形顶点索引——3D 顶点位置在 SDK 里也只是 +占位（运行时被 MediaPipe landmark 覆盖），这里同样无需读 v。 + +★ 与 vulkan/FaceApp.cpp::LoadOBJ 一致，UV 的 V 分量取 (1 - v)，把 OBJ 的 + bottom-up 约定翻成 top-down，与图像（OpenCV/Pillow）一致。 +""" + +from dataclasses import dataclass +from pathlib import Path + +import numpy as np + + +@dataclass +class FaceMesh: + # (468, 2) float32, 每个顶点的 UV，V 已翻转，∈ [0,1]² + uvs: np.ndarray + # (852, 3) int32, 每个三角形的 3 个顶点索引（0-based，指向 uvs 第一维） + triangles: np.ndarray + + +def load_face_mesh(obj_path: str | Path) -> FaceMesh: + obj_path = Path(obj_path) + text = obj_path.read_text(encoding="utf-8", errors="ignore") + + pos_count = 0 + uv_list: list[tuple[float, float]] = [] + # OBJ 的 face 用 v/vt/vn，三个索引可能不同；但本工程的 obj 三者一一对齐 + # （pos_index == uv_index == normal_index），所以我们只看 v 索引来索引 UV + # 列表也成立。这里仍然显式校验以防换 obj 时出错。 + triangles: list[tuple[int, int, int]] = [] + + for raw in text.splitlines(): + line = raw.strip() + if not line or line.startswith("#"): + continue + parts = line.split() + tag = parts[0] + + if tag == "v": + pos_count += 1 + elif tag == "vt": + u = float(parts[1]) + v = float(parts[2]) + uv_list.append((u, 1.0 - v)) # V 翻转 + elif tag == "f": + if len(parts) != 4: + raise ValueError(f"only triangle faces supported, got: {line}") + tri: list[int] = [] + for token in parts[1:]: + # 形如 "v/vt/vn" 或 "v//vn" 或 "v" + seg = token.split("/") + v_idx = int(seg[0]) - 1 # OBJ 1-based → 0-based + vt_idx = int(seg[1]) - 1 if len(seg) > 1 and seg[1] else v_idx + if v_idx != vt_idx: + raise ValueError( + f"this loader assumes pos_idx == uv_idx, " + f"got v={v_idx + 1} vt={vt_idx + 1} in line: {line}" + ) + tri.append(v_idx) + triangles.append((tri[0], tri[1], tri[2])) + + if pos_count != len(uv_list): + raise ValueError( + f"vertex count {pos_count} != uv count {len(uv_list)}; " + "obj loader assumes 1:1 correspondence" + ) + + uvs = np.asarray(uv_list, dtype=np.float32) + tris = np.asarray(triangles, dtype=np.int32) + return FaceMesh(uvs=uvs, triangles=tris)