feat: LOD 网格分级——meshopt 解析期简化 + 按距离/级联选级
vendored meshoptimizer 1.2（submodule 环境故障改直接 vendor）。Mesh 多 LOD：各级索引连续拼进同一 index buffer（共享顶点，LodRange 区间 选择），解析期 meshopt_simplify 生成链（LOD0=原始，每级目标减半， 相对误差 1e-2，小网格复用上级）；都在 worker 线程，加载零额外卡顿。 SceneRenderer 按 (mesh, LOD) 聚合 batch（lookup key = 指针<<8|lod）： 主视图按屏占比近似 radius/dist 选级（阈值 10/20 倍半径）；阴影级联 按级联序降级（越远越简）。Draw 按 batch.lod 选索引区间。 A/B 对比（100 背包 10×10，RTX 5060 Laptop，vsync off）： - 纯背包：LOD 开 93-95 fps / 关 90-107 fps —— 无显著差异 - 加 SunTemple：LOD 开 52-56 / 关 51-55 —— 无显著差异 结论：当前场景瓶颈不在顶点数（5060 顶点吞吐富余），LOD 基础设施 保留（几何复杂资产/低端 GPU/更大场景生效），帧率问题转向 Tracy GPU 时间线定位真实瓶颈。 坑：LodRange 记录"LOD 不足复用最后一级"时 first 不得继续累加 （buffer 无重复数据，累加必越界——VUID-08798 抓的）。
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// This file is part of gltfpack; see gltfpack.h for version/license details
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#ifdef WITH_LIBWEBP
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#include "gltfpack.h"
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#include "webp/decode.h"
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#include "webp/encode.h"
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#ifndef WITH_LIBWEBP_BASIS
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#include "imageio/image_dec.h"
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#endif
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#include <atomic>
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#include <memory>
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#include <thread>
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static int writeWebP(const uint8_t* data, size_t data_size, const WebPPicture* picture)
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{
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std::string* encoded = static_cast<std::string*>(picture->custom_ptr);
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encoded->append(reinterpret_cast<const char*>(data), data_size);
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return 1;
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}
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// when gltfpack is built with Basis Universal, we have easy access to its jpeg/png decoders
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#ifdef WITH_LIBWEBP_BASIS
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namespace pv_png
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{
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void* load_png(const void* pImage_buf, size_t buf_size, uint32_t desired_chans, uint32_t& width, uint32_t& height, uint32_t& num_chans);
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} // namespace pv_png
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namespace jpgd
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{
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static const uint32_t cFlagLinearChromaFiltering = 1;
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unsigned char* decompress_jpeg_image_from_memory(const unsigned char* pSrc_data, int src_data_size, int* width, int* height, int* actual_comps, int req_comps, uint32_t flags = 0);
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} // namespace jpgd
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typedef int (*WebPImageReader)(const uint8_t* const data, size_t data_size, struct WebPPicture* const pic, int keep_alpha, struct Metadata* const metadata);
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static int readPngBasis(const uint8_t* const data, size_t data_size, struct WebPPicture* const pic, int keep_alpha, struct Metadata* const metadata)
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{
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(void)keep_alpha;
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(void)metadata;
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uint32_t width = 0, height = 0, channels = 0;
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void* img = pv_png::load_png(data, data_size, 4, width, height, channels);
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if (!img)
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return 0;
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pic->width = width;
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pic->height = height;
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int ok = WebPPictureImportRGBA(pic, static_cast<uint8_t*>(img), width * 4);
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free(img);
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return ok;
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}
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static int readJpegBasis(const uint8_t* const data, size_t data_size, struct WebPPicture* const pic, int keep_alpha, struct Metadata* const metadata)
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{
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(void)keep_alpha;
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(void)metadata;
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int width = 0, height = 0, channels = 0;
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unsigned char* img = jpgd::decompress_jpeg_image_from_memory(data, int(data_size), &width, &height, &channels, 4, jpgd::cFlagLinearChromaFiltering);
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if (!img)
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return 0;
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pic->width = width;
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pic->height = height;
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int ok = WebPPictureImportRGBA(pic, img, width * 4);
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free(img);
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return ok;
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}
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#endif
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static const char* encodeWebP(const cgltf_image& image, const char* input_path, const ImageInfo& info, const Settings& settings, std::string& encoded)
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{
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WebPConfig config;
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if (!WebPConfigInit(&config))
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return "error initializing WebP";
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std::string img_data;
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std::string mime_type;
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if (!readImage(image, input_path, img_data, mime_type))
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return "error reading source file";
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if (mime_type != "image/png" && mime_type != "image/jpeg")
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return NULL;
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int width = 0, height = 0;
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if (!getDimensions(img_data, mime_type.c_str(), width, height))
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return "error parsing image header";
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adjustDimensions(width, height, settings.texture_scale[info.kind], settings.texture_limit[info.kind], settings.texture_pow2);
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#ifdef WITH_LIBWEBP_BASIS
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WebPImageReader reader = (mime_type == "image/jpeg") ? readJpegBasis : readPngBasis;
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#else
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WebPInputFileFormat format = (mime_type == "image/jpeg") ? WEBP_JPEG_FORMAT : WEBP_PNG_FORMAT;
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WebPImageReader reader = WebPGetImageReader(format);
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if (!reader)
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return "unsupported image format";
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#endif
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WebPPicture pic;
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if (!WebPPictureInit(&pic))
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return "error initializing picture";
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std::unique_ptr<WebPPicture, void (*)(WebPPicture*)> pic_storage(&pic, WebPPictureFree);
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if (!reader(reinterpret_cast<const uint8_t*>(img_data.data()), img_data.size(), &pic, 1, NULL))
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return "error decoding source image";
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if ((width != pic.width || height != pic.height) && !WebPPictureRescale(&pic, width, height))
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return "error resizing image";
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int quality = settings.texture_quality[info.kind];
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if (info.normal_map)
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config.quality = float(50 + quality * 5); // map 1-10 to 55-100
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else
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config.quality = float(20 + quality * 8); // map 1-10 to 28-100
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config.emulate_jpeg_size = 1; // for flatter quality curve
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pic.writer = writeWebP;
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pic.custom_ptr = &encoded;
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encoded.clear();
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if (!WebPEncode(&config, &pic))
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return "error encoding image";
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return NULL;
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}
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void encodeImagesWebP(std::string* encoded, const cgltf_data* data, const std::vector<ImageInfo>& images, const char* input_path, const Settings& settings)
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{
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std::atomic<size_t> next_image{0};
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auto encode = [&]()
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{
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for (;;)
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{
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size_t i = next_image++;
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if (i >= data->images_count)
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break;
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const cgltf_image& image = data->images[i];
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ImageInfo info = images[i];
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if (settings.texture_mode[info.kind] == TextureMode_WebP)
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if (const char* error = encodeWebP(image, input_path, info, settings, encoded[i]))
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encoded[i] = error;
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}
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};
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// we use main thread as a worker as well
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size_t worker_count = settings.texture_jobs == 0 ? std::thread::hardware_concurrency() : settings.texture_jobs;
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size_t thread_count = worker_count > 0 ? worker_count - 1 : 0;
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std::vector<std::thread> threads;
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for (size_t i = 0; i < thread_count; ++i)
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threads.emplace_back(encode);
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encode();
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for (size_t i = 0; i < thread_count; ++i)
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threads[i].join();
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}
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#endif
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