Add files using upload-large-folder tool

.gitattributes

@@ -477,3 +477,4 @@ kicker/images/dslr_images/DSC_6499.JPG filter=lfs diff=lfs merge=lfs -text
 kicker/images/dslr_images/DSC_6513.JPG filter=lfs diff=lfs merge=lfs -text
 kicker/images/dslr_images/DSC_6507.JPG filter=lfs diff=lfs merge=lfs -text
 kicker/images/dslr_images/DSC_6511.JPG filter=lfs diff=lfs merge=lfs -text
+colmap_golden_bundle/golden_mvs/dense/fused.ply filter=lfs diff=lfs merge=lfs -text

colmap_golden_bundle/colmap_cuda_golden_data.ipynb

@@ -0,0 +1,622 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "cd33bf6d",
+   "metadata": {},
+   "source": [
+    "# COLMAP CUDA Golden-Data — MVS depth/normal maps + `fused.ply`\n",
+    "\n",
+    "Run once on a Linux + NVIDIA box (Colab: **Runtime → Change runtime type → GPU**) to\n",
+    "produce the **golden dense-MVS reference** for the macOS/Metal PatchMatch port\n",
+    "(`cuda_golden_data_task.md`, Task 1).\n",
+    "\n",
+    "The pipeline on the `south-building` scene is the standard, documented COLMAP dense CLI:\n",
+    "\n",
+    "```\n",
+    "image_undistorter  →  patch_match_stereo (geom_consistency)  →  stereo_fusion\n",
+    "```\n",
+    "\n",
+    "Outputs land in `/content/out/golden_mvs/dense/stereo/{depth_maps,normal_maps}/*`\n",
+    "plus `fused.ply`, and are zipped at the end for download / `scp` back to the Mac.\n",
+    "\n",
+    "**Every cell is idempotent** — re-running skips work whose output already exists, so the\n",
+    "notebook is safe to restart after a Colab disconnect."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dfa2d49c",
+   "metadata": {},
+   "source": [
+    "## 0 · Confirm the GPU"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "10ebd7ea",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Sun Jun 21 14:07:46 2026       \r\n",
+      "+-----------------------------------------------------------------------------------------+\r\n",
+      "| NVIDIA-SMI 580.82.07              Driver Version: 580.82.07      CUDA Version: 13.0     |\r\n",
+      "+-----------------------------------------+------------------------+----------------------+\r\n",
+      "| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |\r\n",
+      "| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |\r\n",
+      "|                                         |                        |               MIG M. |\r\n",
+      "|=========================================+========================+======================|\r\n",
+      "|   0  Tesla T4                       Off |   00000000:00:04.0 Off |                    0 |\r\n",
+      "| N/A   38C    P8             13W /   70W |       0MiB /  15360MiB |      0%      Default |\r\n",
+      "|                                         |                        |                  N/A |\r\n",
+      "+-----------------------------------------+------------------------+----------------------+\r\n",
+      "\r\n",
+      "+-----------------------------------------------------------------------------------------+\r\n",
+      "| Processes:                                                                              |\r\n",
+      "|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |\r\n",
+      "|        ID   ID                                                               Usage      |\r\n",
+      "|=========================================================================================|\r\n",
+      "|  No running processes found                                                             |\r\n",
+      "+-----------------------------------------------------------------------------------------+\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "!nvidia-smi"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2293f9d",
+   "metadata": {},
+   "source": [
+    "## 1 · Paths & configuration"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "37333250",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "scene       : south-building\n",
+      "dataset dir : /content/uploaded/colmap_tree\n",
+      "output dir  : /content/out\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pathlib\n",
+    "\n",
+    "# Scene name and the layout this notebook expects under DATASET_DIR:\n",
+    "#   <scene>/images/*.JPG, <scene>/sparse/{cameras,images,points3D}.txt, <scene>/database.db\n",
+    "SCENE       = \"south-building\"\n",
+    "\n",
+    "CONTENT     = pathlib.Path(\"/content\")\n",
+    "DATASET_DIR = CONTENT / \"uploaded\" / \"colmap_tree\"   # where the uploaded tree lives\n",
+    "OUT         = CONTENT / \"out\"\n",
+    "GOLDEN      = OUT / \"golden_mvs\"\n",
+    "DENSE       = GOLDEN / \"dense\"\n",
+    "LOGS        = OUT / \"logs\"\n",
+    "\n",
+    "for d in (OUT, GOLDEN, LOGS):\n",
+    "    d.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "# Undistortion caps the working image size to keep T4 memory bounded. The CUDA\n",
+    "# patch_match step then runs at COLMAP's default (max_image_size = -1, i.e. the\n",
+    "# already-undistorted resolution) — this is exactly how the shipped golden maps\n",
+    "# were produced. To change resolution, adjust UNDISTORT_MAX_IMAGE_SIZE here, not\n",
+    "# the patch_match call.\n",
+    "UNDISTORT_MAX_IMAGE_SIZE = 2000\n",
+    "\n",
+    "print(\"scene       :\", SCENE)\n",
+    "print(\"dataset dir :\", DATASET_DIR)\n",
+    "print(\"output dir  :\", OUT)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c4f9c53",
+   "metadata": {},
+   "source": [
+    "## 2 · Build (or detect) upstream CUDA COLMAP\n",
+    "\n",
+    "Task 1 needs **upstream, unmodified** COLMAP built with CUDA. If a `colmap` binary is\n",
+    "already on `PATH` (e.g. a previous run in this session, or a pre-baked image) we skip the\n",
+    "15–40 min build. Otherwise we apt-install the dependency set from the repo's\n",
+    "`docker/Dockerfile` and build from source.\n",
+    "\n",
+    "> ⚠️ *Environment-sensitive:* apt package names vary by Ubuntu release and the\n",
+    "> `CUDA_ARCHITECTURES` must match the rented GPU (Colab T4 = `75`). Adapt if your box differs."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "1f8c77bc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✓ COLMAP already present: /usr/local/bin/colmap\n",
+      "COLMAP 4.0.4 -- Structure-from-Motion and Multi-View Stereo\r\n",
+      "✓ pycolmap 4.0.4\n"
+     ]
+    }
+   ],
+   "source": [
+    "import shutil, subprocess\n",
+    "\n",
+    "def have_colmap():\n",
+    "    exe = shutil.which(\"colmap\")\n",
+    "    if not exe:\n",
+    "        return None\n",
+    "    try:\n",
+    "        out = subprocess.run([exe, \"-h\"], capture_output=True, text=True).stdout\n",
+    "        return exe if \"COLMAP\" in out else None\n",
+    "    except Exception:\n",
+    "        return None\n",
+    "\n",
+    "COLMAP = have_colmap()\n",
+    "if COLMAP:\n",
+    "    print(\"✓ COLMAP already present:\", COLMAP)\n",
+    "    !colmap -h 2>&1 | head -1\n",
+    "else:\n",
+    "    print(\"COLMAP not found — installing pycolmap is not enough for the CLI; building from source.\")\n",
+    "    print(\"This takes ~15-40 min. (Skipped automatically when a binary already exists.)\")\n",
+    "    # --- dependencies (Ubuntu 22.04, grounded in docker/Dockerfile) ---\n",
+    "    !sudo apt-get -y update -qq\n",
+    "    !sudo apt-get -y install -qq git cmake ninja-build build-essential \\\n",
+    "        libboost-program-options-dev libboost-graph-dev libboost-system-dev \\\n",
+    "        libeigen3-dev libflann-dev libfreeimage-dev libmetis-dev libgoogle-glog-dev \\\n",
+    "        libgtest-dev libgmock-dev libsqlite3-dev libglew-dev qtbase5-dev \\\n",
+    "        libqt5opengl5-dev libcgal-dev libceres-dev libcurl4-openssl-dev\n",
+    "    !rm -rf /content/colmap_src\n",
+    "    !git clone --depth 1 https://github.com/colmap/colmap.git /content/colmap_src\n",
+    "    # CUDA_ARCHITECTURES 75 = Tesla T4. Change to match your GPU.\n",
+    "    !cmake -S /content/colmap_src -B /content/colmap_src/build -GNinja \\\n",
+    "        -DCMAKE_BUILD_TYPE=Release -DCMAKE_CUDA_ARCHITECTURES=75\n",
+    "    !cmake --build /content/colmap_src/build --target install -j$(nproc)\n",
+    "    COLMAP = have_colmap()\n",
+    "    print(\"built COLMAP:\", COLMAP)\n",
+    "\n",
+    "assert COLMAP, \"COLMAP CLI is required to continue.\"\n",
+    "\n",
+    "# pycolmap (matching version) lets us read the binary depth maps for verification.\n",
+    "try:\n",
+    "    import pycolmap  # noqa\n",
+    "    print(\"✓ pycolmap\", pycolmap.__version__)\n",
+    "except ImportError:\n",
+    "    !pip install -q pycolmap\n",
+    "    import pycolmap\n",
+    "    print(\"✓ pycolmap\", pycolmap.__version__)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d7bc1f1f",
+   "metadata": {},
+   "source": [
+    "## 3 · Locate the dataset\n",
+    "\n",
+    "Looks for `<DATASET_DIR>/<SCENE>`. If it is missing **and** we're in Colab, prompts you to\n",
+    "upload `colmap_tree.zip` (your working tree, built per the `zip -r colmap_tree.zip ...`\n",
+    "command in `cuda_golden_data_task.md`) and unpacks it."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "6d030d89",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✓ scene dir : /content/uploaded/colmap_tree/south-building\n",
+      "  images    : 128\n",
+      "  sparse    : ['cameras.txt', 'images.txt', 'points3D.txt']\n"
+     ]
+    }
+   ],
+   "source": [
+    "SCENE_DIR = DATASET_DIR / SCENE\n",
+    "\n",
+    "def scene_ok(p):\n",
+    "    return (p / \"images\").is_dir() and (p / \"sparse\").is_dir()\n",
+    "\n",
+    "if not scene_ok(SCENE_DIR):\n",
+    "    # Common alternative: the zip unpacks to /content/colmap_tree/<scene>\n",
+    "    for cand in (CONTENT / \"colmap_tree\" / SCENE, CONTENT / SCENE):\n",
+    "        if scene_ok(cand):\n",
+    "            SCENE_DIR = cand\n",
+    "            break\n",
+    "\n",
+    "if not scene_ok(SCENE_DIR):\n",
+    "    zip_path = CONTENT / \"colmap_tree.zip\"\n",
+    "    if not zip_path.exists():\n",
+    "        try:\n",
+    "            from google.colab import files\n",
+    "            print(\"Upload colmap_tree.zip …\")\n",
+    "            up = files.upload()\n",
+    "        except Exception as e:\n",
+    "            raise FileNotFoundError(\n",
+    "                f\"No dataset at {SCENE_DIR} and no colmap_tree.zip to unpack ({e})\")\n",
+    "        if not up:                                   # dialog cancelled / nothing chosen\n",
+    "            raise FileNotFoundError(\n",
+    "                \"No file uploaded — provide colmap_tree.zip, or place the scene \"\n",
+    "                f\"directly under {DATASET_DIR}.\")\n",
+    "        zip_path = CONTENT / next(iter(up))\n",
+    "    !mkdir -p {DATASET_DIR}\n",
+    "    !unzip -q -o {zip_path} -d {DATASET_DIR}\n",
+    "    # zip may contain a top-level colmap_tree/ folder\n",
+    "    for cand in (DATASET_DIR / SCENE, DATASET_DIR / \"colmap_tree\" / SCENE):\n",
+    "        if scene_ok(cand):\n",
+    "            SCENE_DIR = cand\n",
+    "            break\n",
+    "\n",
+    "assert scene_ok(SCENE_DIR), f\"Dataset not found/usable at {SCENE_DIR}\"\n",
+    "n_imgs = len(list((SCENE_DIR / 'images').glob('*.[Jj][Pp][Gg]')))\n",
+    "print(\"✓ scene dir :\", SCENE_DIR)\n",
+    "print(\"  images    :\", n_imgs)\n",
+    "print(\"  sparse    :\", sorted(p.name for p in (SCENE_DIR / 'sparse').iterdir()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7883d495",
+   "metadata": {},
+   "source": [
+    "## 4 · `image_undistorter` — sparse → dense workspace\n",
+    "\n",
+    "Converts the sparse SfM model + images into the COLMAP dense workspace layout that\n",
+    "`patch_match_stereo` consumes. Skipped if the dense `images/` and `sparse/` are already\n",
+    "populated."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "33e7ba44",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✓ dense workspace already prepared (128/128 images) — skipping undistort\n",
+      "dense images: 128\n"
+     ]
+    }
+   ],
+   "source": [
+    "def _img_files(d):\n",
+    "    # real image files only (skip hidden cruft like .DS_Store)\n",
+    "    return [p for p in d.iterdir() if p.is_file() and not p.name.startswith(\".\")] \\\n",
+    "           if d.is_dir() else []\n",
+    "\n",
+    "n_src       = len(list((SCENE_DIR / \"images\").glob(\"*.[Jj][Pp][Gg]\")))\n",
+    "n_dense_img = len(_img_files(DENSE / \"images\"))\n",
+    "# \"ready\" only if every source image was undistorted — a partial run (e.g. a\n",
+    "# mid-undistort Colab disconnect) must NOT be treated as complete.\n",
+    "dense_ready = (DENSE / \"sparse\").is_dir() and any((DENSE / \"sparse\").glob(\"*\")) \\\n",
+    "              and n_src > 0 and n_dense_img >= n_src\n",
+    "\n",
+    "if dense_ready:\n",
+    "    print(f\"✓ dense workspace already prepared ({n_dense_img}/{n_src} images) — skipping undistort\")\n",
+    "else:\n",
+    "    DENSE.mkdir(parents=True, exist_ok=True)\n",
+    "    log = LOGS / \"mvs_undistort.log\"\n",
+    "    print(f\"running image_undistorter ({n_dense_img}/{n_src} so far) → {log}\")\n",
+    "    !colmap image_undistorter \\\n",
+    "        --image_path {SCENE_DIR}/images \\\n",
+    "        --input_path {SCENE_DIR}/sparse \\\n",
+    "        --output_path {DENSE} \\\n",
+    "        --output_type COLMAP \\\n",
+    "        --max_image_size {UNDISTORT_MAX_IMAGE_SIZE} 2>&1 | tee {log} | tail -5\n",
+    "\n",
+    "print(\"dense images:\", len(_img_files(DENSE / 'images')))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fb7f1a82",
+   "metadata": {},
+   "source": [
+    "## 5 · `patch_match_stereo` — the CUDA dense MVS (golden data)\n",
+    "\n",
+    "This is the **CUDA-only** step the Mac cannot run. With `geom_consistency=true` COLMAP runs\n",
+    "a photometric pass then a geometric-consistency pass, writing `*.photometric.bin` and\n",
+    "`*.geometric.bin` depth/normal maps. **Slow** (tens of minutes on a T4).\n",
+    "\n",
+    "Idempotent: skips if a complete set of `*.geometric.bin` depth maps already exists (one per\n",
+    "undistorted image)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "5394423c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✓ geometric depth maps complete (128/128) — skipping patch_match_stereo\n",
+      "depth maps: photometric=128  geometric=128\n"
+     ]
+    }
+   ],
+   "source": [
+    "dmap_dir = DENSE / \"stereo\" / \"depth_maps\"\n",
+    "# one depth map per undistorted image — count real image files, not hidden cruft\n",
+    "n_need = len([p for p in (DENSE / \"images\").iterdir()\n",
+    "              if p.is_file() and not p.name.startswith(\".\")]) \\\n",
+    "         if (DENSE / \"images\").is_dir() else 0\n",
+    "n_geo  = len(list(dmap_dir.glob(\"*.geometric.bin\"))) if dmap_dir.is_dir() else 0\n",
+    "\n",
+    "if n_need and n_geo >= n_need:\n",
+    "    print(f\"✓ geometric depth maps complete ({n_geo}/{n_need}) — skipping patch_match_stereo\")\n",
+    "else:\n",
+    "    log = LOGS / \"mvs_patch_match.log\"\n",
+    "    print(f\"running patch_match_stereo ({n_geo}/{n_need} geometric so far) → {log}\")\n",
+    "    print(\"⏳ this is the long one …\")\n",
+    "    # No --PatchMatchStereo.max_image_size: process the already-undistorted images\n",
+    "    # at full resolution (COLMAP default -1), matching how the golden maps were made.\n",
+    "    !colmap patch_match_stereo \\\n",
+    "        --workspace_path {DENSE} \\\n",
+    "        --workspace_format COLMAP \\\n",
+    "        --PatchMatchStereo.geom_consistency true 2>&1 | tee {log} | tail -8\n",
+    "\n",
+    "n_geo = len(list(dmap_dir.glob('*.geometric.bin')))\n",
+    "n_pho = len(list(dmap_dir.glob('*.photometric.bin')))\n",
+    "print(f\"depth maps: photometric={n_pho}  geometric={n_geo}\")\n",
+    "assert n_need and n_geo >= n_need, \"patch_match_stereo did not finish — re-run this cell.\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "498a8da2",
+   "metadata": {},
+   "source": [
+    "## 6 · `stereo_fusion` → `fused.ply`\n",
+    "\n",
+    "Fuses the geometric depth/normal maps into a single dense point cloud.\n",
+    "\n",
+    "> 🐞 *Fixed bug:* an earlier version chained this command into the optional `poisson_mesher`\n",
+    "> with a trailing `\\`, producing `bash: ... command not found` and no `fused.ply`. Each CLI\n",
+    "> call is now its own statement."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "964a8a30",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✓ fused.ply already present: 97463296 bytes\n",
+      "✓ fused.ply: 97463296 bytes\n"
+     ]
+    }
+   ],
+   "source": [
+    "fused = DENSE / \"fused.ply\"\n",
+    "if fused.exists() and fused.stat().st_size > 0:\n",
+    "    print(\"✓ fused.ply already present:\", fused.stat().st_size, \"bytes\")\n",
+    "else:\n",
+    "    log = LOGS / \"mvs_fusion.log\"\n",
+    "    print(\"running stereo_fusion → \", log)\n",
+    "    !colmap stereo_fusion \\\n",
+    "        --workspace_path {DENSE} \\\n",
+    "        --workspace_format COLMAP \\\n",
+    "        --input_type geometric \\\n",
+    "        --output_path {fused} 2>&1 | tee {log} | tail -8\n",
+    "\n",
+    "assert fused.exists() and fused.stat().st_size > 0, \"fusion failed — see mvs_fusion.log\"\n",
+    "print(\"✓ fused.ply:\", fused.stat().st_size, \"bytes\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "751c4ba8",
+   "metadata": {},
+   "source": [
+    "## 7 · Verify the golden data\n",
+    "\n",
+    "Sanity-checks the outputs and reads one geometric depth map to confirm the binary maps are\n",
+    "well-formed (the Mac side reads them the same way: `colmap::mvs::DepthMap`, little-endian)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "a26bb12b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "geometric depth maps : 128\n",
+      "geometric normal maps: 128\n",
+      "fused.ply            : 97.5 MB\n",
+      "\n",
+      "sample depth map: P1180141.JPG.geometric.bin\n",
+      "  shape=(1196, 1600) dtype=float32\n",
+      "  valid px=1077396/1913600 (56.3%)\n",
+      "  depth range (valid): 0.880 .. 8.956\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "def read_colmap_array(path):\n",
+    "    # COLMAP dense binary map (DepthMap/NormalMap): ASCII header 'W&H&C&'\n",
+    "    # then little-endian float32 in Fortran order. Mirrors COLMAP's\n",
+    "    # scripts/python/read_write_dense.py::read_array.\n",
+    "    with open(path, \"rb\") as fid:\n",
+    "        hdr, amp = b\"\", 0\n",
+    "        while amp < 3:\n",
+    "            ch = fid.read(1); hdr += ch\n",
+    "            if ch == b\"&\": amp += 1\n",
+    "        w, h, c = (int(x) for x in hdr.decode().split(\"&\")[:3])\n",
+    "        data = np.fromfile(fid, np.float32)\n",
+    "    return np.transpose(data.reshape((w, h, c), order=\"F\"), (1, 0, 2)).squeeze()\n",
+    "\n",
+    "dmap_dir = DENSE / \"stereo\" / \"depth_maps\"\n",
+    "nmap_dir = DENSE / \"stereo\" / \"normal_maps\"\n",
+    "samples  = sorted(dmap_dir.glob(\"*.geometric.bin\"))\n",
+    "n_dg, n_ng = len(samples), len(list(nmap_dir.glob(\"*.geometric.bin\")))\n",
+    "print(f\"geometric depth maps : {n_dg}\")\n",
+    "print(f\"geometric normal maps: {n_ng}\")\n",
+    "print(f\"fused.ply            : {(DENSE/'fused.ply').stat().st_size/1e6:.1f} MB\")\n",
+    "assert n_dg and n_ng, \"no geometric maps to verify — run the patch_match cell first.\"\n",
+    "\n",
+    "# Read the first map that actually has valid pixels: a fully-filtered map is a\n",
+    "# legitimate output but all-zero, and min()/max() on it would raise.\n",
+    "depth = valid = sample = None\n",
+    "for s in samples:\n",
+    "    d = read_colmap_array(s)\n",
+    "    v = d[d > 0]\n",
+    "    if v.size:\n",
+    "        depth, valid, sample = d, v, s\n",
+    "        break\n",
+    "\n",
+    "if sample is None:\n",
+    "    print(\"\\n⚠ every sampled depth map has zero valid pixels — check the inputs.\")\n",
+    "else:\n",
+    "    print(f\"\\nsample depth map: {sample.name}\")\n",
+    "    print(f\"  shape={depth.shape} dtype={depth.dtype}\")\n",
+    "    print(f\"  valid px={valid.size}/{depth.size} ({100*valid.size/depth.size:.1f}%)\")\n",
+    "    print(f\"  depth range (valid): {valid.min():.3f} .. {valid.max():.3f}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2f4c0da0",
+   "metadata": {},
+   "source": [
+    "## 8 · Package & download\n",
+    "\n",
+    "Zips the golden maps + logs. In Colab this triggers a browser download; on a headless box\n",
+    "the zip is left at `/content/out/` for `scp`.\n",
+    "\n",
+    "On the Mac, drop the contents under `golden_task/golden_mvs/<scene>/` — the future Metal MVS\n",
+    "validation compares its `patch_match_stereo` depth/normal maps against these within\n",
+    "tolerance, on overlapping valid pixels (ignore zeros).\n",
+    "\n",
+    "Two artifacts are written (both idempotent — skipped if already present):\n",
+    "- **`golden_mvs_<scene>_geometric.zip`** — slim reference: only the *geometric* depth/normal\n",
+    "  maps + `fused.ply` + logs. This is what the Metal MVS validation needs (a few hundred MB).\n",
+    "- **`golden_mvs_<scene>_full.zip`** — everything (photometric + geometric, consistency\n",
+    "  graphs). Multi-GB; only grab it if you need the photometric pass too."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "483fb0d7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✓ slim zip already present: 1930.1 MB\n",
+      "  slim: /content/out/golden_mvs_south-building_geometric.zip\n",
+      "✓ full zip already present: 4724.2 MB\n",
+      "  full: /content/out/golden_mvs_south-building_full.zip\n",
+      "\n",
+      "Not in Colab — copy these back with scp:\n",
+      "   /content/out/golden_mvs_south-building_geometric.zip\n",
+      "   /content/out/golden_mvs_south-building_full.zip\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "os.chdir(OUT)\n",
+    "\n",
+    "# ---- slim, geometric-only reference (the one you actually need on the Mac) ----\n",
+    "slim = OUT / f\"golden_mvs_{SCENE}_geometric.zip\"\n",
+    "if slim.exists() and slim.stat().st_size > 0:\n",
+    "    print(\"✓ slim zip already present:\", f\"{slim.stat().st_size/1e6:.1f} MB\")\n",
+    "else:\n",
+    "    print(\"building slim geometric zip …\")\n",
+    "    !cd {GOLDEN} && zip -r -q {slim} \\\n",
+    "        dense/stereo/depth_maps/*.geometric.bin \\\n",
+    "        dense/stereo/normal_maps/*.geometric.bin \\\n",
+    "        dense/fused.ply\n",
+    "    !zip -q {slim} logs/*.log\n",
+    "print(\"  slim:\", slim)\n",
+    "\n",
+    "# ---- full archive (everything) ----\n",
+    "full = OUT / f\"golden_mvs_{SCENE}_full.zip\"\n",
+    "if full.exists() and full.stat().st_size > 0:\n",
+    "    print(\"✓ full zip already present:\", f\"{full.stat().st_size/1e6:.1f} MB\")\n",
+    "else:\n",
+    "    print(\"building full zip …\")\n",
+    "    !zip -r -q {full} golden_mvs logs\n",
+    "print(\"  full:\", full)\n",
+    "\n",
+    "# --- deliver ---\n",
+    "# Detect Colab independently of any download error. For these multi-GB zips a\n",
+    "# direct browser download (files.download) is unreliable above ~1 GB, so prefer\n",
+    "# copying to Google Drive.\n",
+    "try:\n",
+    "    from google.colab import files  # noqa\n",
+    "    IN_COLAB = True\n",
+    "except ImportError:\n",
+    "    IN_COLAB = False\n",
+    "\n",
+    "if IN_COLAB:\n",
+    "    print(\"\\nIn Colab — recommended (reliable for multi-GB files): copy to Google Drive:\")\n",
+    "    print(\"    from google.colab import drive; drive.mount('/content/drive')\")\n",
+    "    print(f\"    !mkdir -p /content/drive/MyDrive/colmap_golden && cp {slim} /content/drive/MyDrive/colmap_golden/\")\n",
+    "    print(\"\\nTrying a direct browser download of the slim zip (may fail if too large)…\")\n",
+    "    try:\n",
+    "        files.download(str(slim))\n",
+    "    except Exception as e:\n",
+    "        print(\"  direct download failed — use the Google Drive copy above instead.\")\n",
+    "        print(\"  reason:\", e)\n",
+    "else:\n",
+    "    print(\"\\nNot in Colab — copy these back with scp:\")\n",
+    "    print(\"  \", slim)\n",
+    "    print(\"  \", full)"
+   ]
+  }
+ ],
+ "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "gpuType": "T4",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

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+I20260621 12:52:12.814765 140322137096192 fusion.cc:79] --- StereoFusion::Options ---
+I20260621 12:52:12.815082 140322137096192 fusion.cc:80] mask_path: ""
+I20260621 12:52:12.815090 140322137096192 fusion.cc:81] max_image_size: -1
+I20260621 12:52:12.815094 140322137096192 fusion.cc:82] min_num_pixels: 5
+I20260621 12:52:12.815099 140322137096192 fusion.cc:83] max_num_pixels: 10000
+I20260621 12:52:12.815103 140322137096192 fusion.cc:84] max_traversal_depth: 100
+I20260621 12:52:12.815107 140322137096192 fusion.cc:85] max_reproj_error: 2
+I20260621 12:52:12.815122 140322137096192 fusion.cc:86] max_depth_error: 0.01
+I20260621 12:52:12.815128 140322137096192 fusion.cc:87] max_normal_error: 10
+I20260621 12:52:12.815133 140322137096192 fusion.cc:88] check_num_images: 50
+I20260621 12:52:12.815137 140322137096192 fusion.cc:89] use_cache: 0
+I20260621 12:52:12.815143 140322137096192 fusion.cc:90] cache_size: 32
+I20260621 12:52:12.815148 140322137096192 fusion.cc:93] bbox_min: -3.40282e+38 -3.40282e+38 -3.40282e+38
+I20260621 12:52:12.815163 140322137096192 fusion.cc:94] bbox_max: 3.40282e+38 3.40282e+38 3.40282e+38
+I20260621 12:52:12.815176 140322137096192 fusion.cc:144] Reading workspace...
+I20260621 12:52:13.123646 140322137096192 workspace.cc:103] Loading workspace data with 2 threads...
+I20260621 12:52:52.412392 140322137096192 timer.cc:90] Elapsed time: 0.655 [minutes]
+I20260621 12:52:52.413591 140322137096192 fusion.cc:179] Reading configuration...
+I20260621 12:52:52.707712 140322137096192 fusion.cc:247] Starting fusion with 2 threads
+I20260621 12:52:52.713614 140322137096192 fusion.cc:283] Fusing image [1/128] with index 0
+I20260621 12:53:22.922289 140322137096192 fusion.cc:310]  in 30.209s (202525 points)
+I20260621 12:53:22.922366 140322137096192 fusion.cc:283] Fusing image [2/128] with index 34
+I20260621 12:53:27.697959 140322137096192 fusion.cc:310]  in 4.776s (258554 points)
+I20260621 12:53:27.698022 140322137096192 fusion.cc:283] Fusing image [3/128] with index 20
+I20260621 12:53:33.465024 140322137096192 fusion.cc:310]  in 5.767s (318680 points)
+I20260621 12:53:33.465086 140322137096192 fusion.cc:283] Fusing image [4/128] with index 22
+I20260621 12:53:37.511730 140322137096192 fusion.cc:310]  in 4.047s (347738 points)
+I20260621 12:53:37.511788 140322137096192 fusion.cc:283] Fusing image [5/128] with index 76
+I20260621 12:53:40.499714 140322137096192 fusion.cc:310]  in 2.988s (375668 points)
+I20260621 12:53:40.499775 140322137096192 fusion.cc:283] Fusing image [6/128] with index 111
+I20260621 12:53:46.481686 140322137096192 fusion.cc:310]  in 5.982s (419770 points)
+I20260621 12:53:46.481738 140322137096192 fusion.cc:283] Fusing image [7/128] with index 43
+I20260621 12:53:51.177042 140322137096192 fusion.cc:310]  in 4.695s (444840 points)
+I20260621 12:53:51.177108 140322137096192 fusion.cc:283] Fusing image [8/128] with index 103
+I20260621 12:53:58.882201 140322137096192 fusion.cc:310]  in 7.705s (499014 points)
+I20260621 12:53:58.882270 140322137096192 fusion.cc:283] Fusing image [9/128] with index 25
+I20260621 12:54:06.052223 140322137096192 fusion.cc:310]  in 7.170s (556657 points)
+I20260621 12:54:06.052290 140322137096192 fusion.cc:283] Fusing image [10/128] with index 35
+I20260621 12:54:17.812608 140322137096192 fusion.cc:310]  in 11.760s (667662 points)
+I20260621 12:54:17.812672 140322137096192 fusion.cc:283] Fusing image [11/128] with index 64
+I20260621 12:54:26.808727 140322137096192 fusion.cc:310]  in 8.996s (762317 points)
+I20260621 12:54:26.808807 140322137096192 fusion.cc:283] Fusing image [12/128] with index 84
+I20260621 12:54:31.169228 140322137096192 fusion.cc:310]  in 4.360s (822706 points)
+I20260621 12:54:31.169297 140322137096192 fusion.cc:283] Fusing image [13/128] with index 15
+I20260621 12:54:34.037607 140322137096192 fusion.cc:310]  in 2.868s (872817 points)
+I20260621 12:54:34.037667 140322137096192 fusion.cc:283] Fusing image [14/128] with index 23
+I20260621 12:54:36.314080 140322137096192 fusion.cc:310]  in 2.276s (913577 points)
+I20260621 12:54:36.314131 140322137096192 fusion.cc:283] Fusing image [15/128] with index 112
+I20260621 12:54:37.267736 140322137096192 fusion.cc:310]  in 0.954s (922766 points)
+I20260621 12:54:37.267795 140322137096192 fusion.cc:283] Fusing image [16/128] with index 37
+I20260621 12:54:38.182357 140322137096192 fusion.cc:310]  in 0.915s (927242 points)
+I20260621 12:54:38.182421 140322137096192 fusion.cc:283] Fusing image [17/128] with index 58
+I20260621 12:54:40.066513 140322137096192 fusion.cc:310]  in 1.884s (933828 points)
+I20260621 12:54:40.066578 140322137096192 fusion.cc:283] Fusing image [18/128] with index 28
+I20260621 12:54:41.747099 140322137096192 fusion.cc:310]  in 1.681s (938251 points)
+I20260621 12:54:41.747167 140322137096192 fusion.cc:283] Fusing image [19/128] with index 33
+I20260621 12:54:42.935348 140322137096192 fusion.cc:310]  in 1.188s (939940 points)
+I20260621 12:54:42.935409 140322137096192 fusion.cc:283] Fusing image [20/128] with index 94
+I20260621 12:54:44.710201 140322137096192 fusion.cc:310]  in 1.775s (945505 points)
+I20260621 12:54:44.710251 140322137096192 fusion.cc:283] Fusing image [21/128] with index 106
+I20260621 12:54:45.588065 140322137096192 fusion.cc:310]  in 0.878s (957508 points)
+I20260621 12:54:45.588125 140322137096192 fusion.cc:283] Fusing image [22/128] with index 19
+I20260621 12:54:47.078646 140322137096192 fusion.cc:310]  in 1.491s (987582 points)
+I20260621 12:54:47.078701 140322137096192 fusion.cc:283] Fusing image [23/128] with index 68
+I20260621 12:54:48.120566 140322137096192 fusion.cc:310]  in 1.042s (1009542 points)
+I20260621 12:54:48.120620 140322137096192 fusion.cc:283] Fusing image [24/128] with index 32
+I20260621 12:54:50.428718 140322137096192 fusion.cc:310]  in 2.308s (1048248 points)
+I20260621 12:54:50.428771 140322137096192 fusion.cc:283] Fusing image [25/128] with index 101
+I20260621 12:54:52.823277 140322137096192 fusion.cc:310]  in 2.395s (1092308 points)
+I20260621 12:54:52.823334 140322137096192 fusion.cc:283] Fusing image [26/128] with index 2
+I20260621 12:54:54.443878 140322137096192 fusion.cc:310]  in 1.621s (1120550 points)
+I20260621 12:54:54.443965 140322137096192 fusion.cc:283] Fusing image [27/128] with index 5
+I20260621 12:54:57.965048 140322137096192 fusion.cc:310]  in 3.521s (1160215 points)
+I20260621 12:54:57.965229 140322137096192 fusion.cc:283] Fusing image [28/128] with index 49
+I20260621 12:55:02.115835 140322137096192 fusion.cc:310]  in 4.151s (1202977 points)
+I20260621 12:55:02.115912 140322137096192 fusion.cc:283] Fusing image [29/128] with index 16
+I20260621 12:55:04.116965 140322137096192 fusion.cc:310]  in 2.001s (1233931 points)
+I20260621 12:55:04.117025 140322137096192 fusion.cc:283] Fusing image [30/128] with index 27
+I20260621 12:55:07.564987 140322137096192 fusion.cc:310]  in 3.448s (1296037 points)
+I20260621 12:55:07.565050 140322137096192 fusion.cc:283] Fusing image [31/128] with index 59
+I20260621 12:55:10.038555 140322137096192 fusion.cc:310]  in 2.474s (1354599 points)
+I20260621 12:55:10.038616 140322137096192 fusion.cc:283] Fusing image [32/128] with index 50
+I20260621 12:55:15.500108 140322137096192 fusion.cc:310]  in 5.462s (1426799 points)
+I20260621 12:55:15.500167 140322137096192 fusion.cc:283] Fusing image [33/128] with index 72
+I20260621 12:55:22.082089 140322137096192 fusion.cc:310]  in 6.582s (1486461 points)
+I20260621 12:55:22.082149 140322137096192 fusion.cc:283] Fusing image [34/128] with index 3
+I20260621 12:55:25.662074 140322137096192 fusion.cc:310]  in 3.580s (1530080 points)
+I20260621 12:55:25.662130 140322137096192 fusion.cc:283] Fusing image [35/128] with index 126
+I20260621 12:55:29.051792 140322137096192 fusion.cc:310]  in 3.390s (1576530 points)
+I20260621 12:55:29.051855 140322137096192 fusion.cc:283] Fusing image [36/128] with index 91
+I20260621 12:55:35.060444 140322137096192 fusion.cc:310]  in 6.009s (1623598 points)
+I20260621 12:55:35.060553 140322137096192 fusion.cc:283] Fusing image [37/128] with index 31
+I20260621 12:55:38.071780 140322137096192 fusion.cc:310]  in 3.011s (1672912 points)
+I20260621 12:55:38.071831 140322137096192 fusion.cc:283] Fusing image [38/128] with index 10
+I20260621 12:55:39.930454 140322137096192 fusion.cc:310]  in 1.859s (1710322 points)
+I20260621 12:55:39.930521 140322137096192 fusion.cc:283] Fusing image [39/128] with index 26
+I20260621 12:55:41.310444 140322137096192 fusion.cc:310]  in 1.380s (1738743 points)
+I20260621 12:55:41.310494 140322137096192 fusion.cc:283] Fusing image [40/128] with index 115
+I20260621 12:55:42.567575 140322137096192 fusion.cc:310]  in 1.257s (1764357 points)
+I20260621 12:55:42.567636 140322137096192 fusion.cc:283] Fusing image [41/128] with index 87
+I20260621 12:55:43.462081 140322137096192 fusion.cc:310]  in 0.894s (1780673 points)
+I20260621 12:55:43.462136 140322137096192 fusion.cc:283] Fusing image [42/128] with index 70
+I20260621 12:55:44.740939 140322137096192 fusion.cc:310]  in 1.279s (1809544 points)
+I20260621 12:55:44.740997 140322137096192 fusion.cc:283] Fusing image [43/128] with index 79
+I20260621 12:55:45.472495 140322137096192 fusion.cc:310]  in 0.732s (1821675 points)
+I20260621 12:55:45.472594 140322137096192 fusion.cc:283] Fusing image [44/128] with index 51
+I20260621 12:55:46.486960 140322137096192 fusion.cc:310]  in 1.014s (1842589 points)
+I20260621 12:55:46.487153 140322137096192 fusion.cc:283] Fusing image [45/128] with index 89
+I20260621 12:55:47.780610 140322137096192 fusion.cc:310]  in 1.293s (1857069 points)
+I20260621 12:55:47.780679 140322137096192 fusion.cc:283] Fusing image [46/128] with index 82
+I20260621 12:55:48.889195 140322137096192 fusion.cc:310]  in 1.109s (1867965 points)
+I20260621 12:55:48.889253 140322137096192 fusion.cc:283] Fusing image [47/128] with index 75
+I20260621 12:55:50.284336 140322137096192 fusion.cc:310]  in 1.395s (1885721 points)
+I20260621 12:55:50.284402 140322137096192 fusion.cc:283] Fusing image [48/128] with index 45
+I20260621 12:55:51.345758 140322137096192 fusion.cc:310]  in 1.061s (1894459 points)
+I20260621 12:55:51.345813 140322137096192 fusion.cc:283] Fusing image [49/128] with index 71
+I20260621 12:55:52.644058 140322137096192 fusion.cc:310]  in 1.298s (1912837 points)
+I20260621 12:55:52.644120 140322137096192 fusion.cc:283] Fusing image [50/128] with index 123
+I20260621 12:55:53.489785 140322137096192 fusion.cc:310]  in 0.846s (1928312 points)
+I20260621 12:55:53.489844 140322137096192 fusion.cc:283] Fusing image [51/128] with index 127
+I20260621 12:55:54.201027 140322137096192 fusion.cc:310]  in 0.711s (1943305 points)
+I20260621 12:55:54.201083 140322137096192 fusion.cc:283] Fusing image [52/128] with index 11
+I20260621 12:55:55.949943 140322137096192 fusion.cc:310]  in 1.749s (1972210 points)
+I20260621 12:55:55.949999 140322137096192 fusion.cc:283] Fusing image [53/128] with index 93
+I20260621 12:55:57.775698 140322137096192 fusion.cc:310]  in 1.826s (2001217 points)
+I20260621 12:55:57.775798 140322137096192 fusion.cc:283] Fusing image [54/128] with index 57
+I20260621 12:56:00.455898 140322137096192 fusion.cc:310]  in 2.680s (2061422 points)
+I20260621 12:56:00.455956 140322137096192 fusion.cc:283] Fusing image [55/128] with index 30
+I20260621 12:56:00.995559 140322137096192 fusion.cc:310]  in 0.540s (2066045 points)
+I20260621 12:56:00.995615 140322137096192 fusion.cc:283] Fusing image [56/128] with index 54
+I20260621 12:56:02.984483 140322137096192 fusion.cc:310]  in 1.989s (2119294 points)
+I20260621 12:56:02.984610 140322137096192 fusion.cc:283] Fusing image [57/128] with index 44
+I20260621 12:56:04.690998 140322137096192 fusion.cc:310]  in 1.706s (2148584 points)
+I20260621 12:56:04.691062 140322137096192 fusion.cc:283] Fusing image [58/128] with index 105
+I20260621 12:56:07.259064 140322137096192 fusion.cc:310]  in 2.568s (2189961 points)
+I20260621 12:56:07.259159 140322137096192 fusion.cc:283] Fusing image [59/128] with index 67
+I20260621 12:56:10.704612 140322137096192 fusion.cc:310]  in 3.445s (2248073 points)
+I20260621 12:56:10.704669 140322137096192 fusion.cc:283] Fusing image [60/128] with index 80
+I20260621 12:56:13.878290 140322137096192 fusion.cc:310]  in 3.174s (2325830 points)
+I20260621 12:56:13.878352 140322137096192 fusion.cc:283] Fusing image [61/128] with index 78
+I20260621 12:56:16.058114 140322137096192 fusion.cc:310]  in 2.180s (2374175 points)
+I20260621 12:56:16.058201 140322137096192 fusion.cc:283] Fusing image [62/128] with index 116
+I20260621 12:56:18.821999 140322137096192 fusion.cc:310]  in 2.764s (2427709 points)
+I20260621 12:56:18.822059 140322137096192 fusion.cc:283] Fusing image [63/128] with index 118
+I20260621 12:56:20.361222 140322137096192 fusion.cc:310]  in 1.539s (2465447 points)
+I20260621 12:56:20.361281 140322137096192 fusion.cc:283] Fusing image [64/128] with index 17
+I20260621 12:56:23.835330 140322137096192 fusion.cc:310]  in 3.474s (2506549 points)
+I20260621 12:56:23.835393 140322137096192 fusion.cc:283] Fusing image [65/128] with index 40
+I20260621 12:56:30.186145 140322137096192 fusion.cc:310]  in 6.351s (2603146 points)
+I20260621 12:56:30.186206 140322137096192 fusion.cc:283] Fusing image [66/128] with index 85
+I20260621 12:56:32.189899 140322137096192 fusion.cc:310]  in 2.004s (2645242 points)
+I20260621 12:56:32.189948 140322137096192 fusion.cc:283] Fusing image [67/128] with index 7
+I20260621 12:56:34.321939 140322137096192 fusion.cc:310]  in 2.132s (2681497 points)
+I20260621 12:56:34.321986 140322137096192 fusion.cc:283] Fusing image [68/128] with index 38
+I20260621 12:56:35.781141 140322137096192 fusion.cc:310]  in 1.459s (2705312 points)
+I20260621 12:56:35.781233 140322137096192 fusion.cc:283] Fusing image [69/128] with index 36
+I20260621 12:56:37.977365 140322137096192 fusion.cc:310]  in 2.196s (2737871 points)
+I20260621 12:56:37.977454 140322137096192 fusion.cc:283] Fusing image [70/128] with index 4
+I20260621 12:56:45.170013 140322137096192 fusion.cc:310]  in 7.193s (2823815 points)
+I20260621 12:56:45.170067 140322137096192 fusion.cc:283] Fusing image [71/128] with index 109
+I20260621 12:56:47.931805 140322137096192 fusion.cc:310]  in 2.762s (2863448 points)
+I20260621 12:56:47.931869 140322137096192 fusion.cc:283] Fusing image [72/128] with index 29
+I20260621 12:56:50.027388 140322137096192 fusion.cc:310]  in 2.096s (2895124 points)
+I20260621 12:56:50.027448 140322137096192 fusion.cc:283] Fusing image [73/128] with index 65
+I20260621 12:56:55.301071 140322137096192 fusion.cc:310]  in 5.274s (2990240 points)
+I20260621 12:56:55.301151 140322137096192 fusion.cc:283] Fusing image [74/128] with index 47
+I20260621 12:56:57.614782 140322137096192 fusion.cc:310]  in 2.314s (3008626 points)
+I20260621 12:56:57.614839 140322137096192 fusion.cc:283] Fusing image [75/128] with index 14
+I20260621 12:57:00.548999 140322137096192 fusion.cc:310]  in 2.934s (3033441 points)
+I20260621 12:57:00.549183 140322137096192 fusion.cc:283] Fusing image [76/128] with index 62
+I20260621 12:57:02.490041 140322137096192 fusion.cc:310]  in 1.941s (3056022 points)
+I20260621 12:57:02.490102 140322137096192 fusion.cc:283] Fusing image [77/128] with index 73
+I20260621 12:57:04.479974 140322137096192 fusion.cc:310]  in 1.990s (3084485 points)
+I20260621 12:57:04.480034 140322137096192 fusion.cc:283] Fusing image [78/128] with index 86
+I20260621 12:57:06.969745 140322137096192 fusion.cc:310]  in 2.490s (3123229 points)
+I20260621 12:57:06.969804 140322137096192 fusion.cc:283] Fusing image [79/128] with index 104
+I20260621 12:57:09.331834 140322137096192 fusion.cc:310]  in 2.362s (3157726 points)
+I20260621 12:57:09.331894 140322137096192 fusion.cc:283] Fusing image [80/128] with index 83
+I20260621 12:57:11.437246 140322137096192 fusion.cc:310]  in 2.105s (3195781 points)
+I20260621 12:57:11.437304 140322137096192 fusion.cc:283] Fusing image [81/128] with index 125
+I20260621 12:57:14.957886 140322137096192 fusion.cc:310]  in 3.521s (3226343 points)
+I20260621 12:57:14.957956 140322137096192 fusion.cc:283] Fusing image [82/128] with index 88
+I20260621 12:57:18.383471 140322137096192 fusion.cc:310]  in 3.426s (3255226 points)
+I20260621 12:57:18.383573 140322137096192 fusion.cc:283] Fusing image [83/128] with index 121
+I20260621 12:57:20.593686 140322137096192 fusion.cc:310]  in 2.210s (3292782 points)
+I20260621 12:57:20.593741 140322137096192 fusion.cc:283] Fusing image [84/128] with index 24
+I20260621 12:57:21.962946 140322137096192 fusion.cc:310]  in 1.369s (3305620 points)
+I20260621 12:57:21.963001 140322137096192 fusion.cc:283] Fusing image [85/128] with index 42
+I20260621 12:57:23.532269 140322137096192 fusion.cc:310]  in 1.569s (3329418 points)
+I20260621 12:57:23.532332 140322137096192 fusion.cc:283] Fusing image [86/128] with index 122
+I20260621 12:57:24.615239 140322137096192 fusion.cc:310]  in 1.083s (3337836 points)
+I20260621 12:57:24.615297 140322137096192 fusion.cc:283] Fusing image [87/128] with index 108
+I20260621 12:57:26.124029 140322137096192 fusion.cc:310]  in 1.509s (3359315 points)
+I20260621 12:57:26.124096 140322137096192 fusion.cc:283] Fusing image [88/128] with index 46
+I20260621 12:57:27.207839 140322137096192 fusion.cc:310]  in 1.084s (3371720 points)
+I20260621 12:57:27.207899 140322137096192 fusion.cc:283] Fusing image [89/128] with index 98
+I20260621 12:57:29.413628 140322137096192 fusion.cc:310]  in 2.206s (3406424 points)
+I20260621 12:57:29.413686 140322137096192 fusion.cc:283] Fusing image [90/128] with index 69
+I20260621 12:57:32.211752 140322137096192 fusion.cc:310]  in 2.798s (3421347 points)
+I20260621 12:57:32.211821 140322137096192 fusion.cc:283] Fusing image [91/128] with index 96
+I20260621 12:57:35.108219 140322137096192 fusion.cc:310]  in 2.896s (3437470 points)
+I20260621 12:57:35.108284 140322137096192 fusion.cc:283] Fusing image [92/128] with index 18
+I20260621 12:57:36.221617 140322137096192 fusion.cc:310]  in 1.113s (3448641 points)
+I20260621 12:57:36.221681 140322137096192 fusion.cc:283] Fusing image [93/128] with index 1
+I20260621 12:57:37.329360 140322137096192 fusion.cc:310]  in 1.108s (3460032 points)
+I20260621 12:57:37.329437 140322137096192 fusion.cc:283] Fusing image [94/128] with index 6
+I20260621 12:57:38.389736 140322137096192 fusion.cc:310]  in 1.060s (3471056 points)
+I20260621 12:57:38.389789 140322137096192 fusion.cc:283] Fusing image [95/128] with index 114
+I20260621 12:57:39.506042 140322137096192 fusion.cc:310]  in 1.116s (3478925 points)
+I20260621 12:57:39.506117 140322137096192 fusion.cc:283] Fusing image [96/128] with index 81
+I20260621 12:57:40.526166 140322137096192 fusion.cc:310]  in 1.020s (3495167 points)
+I20260621 12:57:40.526225 140322137096192 fusion.cc:283] Fusing image [97/128] with index 8
+I20260621 12:57:41.763016 140322137096192 fusion.cc:310]  in 1.237s (3520306 points)
+I20260621 12:57:41.763072 140322137096192 fusion.cc:283] Fusing image [98/128] with index 55
+I20260621 12:57:42.968333 140322137096192 fusion.cc:310]  in 1.205s (3543243 points)
+I20260621 12:57:42.968421 140322137096192 fusion.cc:283] Fusing image [99/128] with index 119
+I20260621 12:57:44.117680 140322137096192 fusion.cc:310]  in 1.149s (3561697 points)
+I20260621 12:57:44.117740 140322137096192 fusion.cc:283] Fusing image [100/128] with index 12
+I20260621 12:57:45.282545 140322137096192 fusion.cc:310]  in 1.165s (3576976 points)
+I20260621 12:57:45.282609 140322137096192 fusion.cc:283] Fusing image [101/128] with index 113
+I20260621 12:57:47.166438 140322137096192 fusion.cc:310]  in 1.884s (3587409 points)
+I20260621 12:57:47.166547 140322137096192 fusion.cc:283] Fusing image [102/128] with index 63
+I20260621 12:57:49.061098 140322137096192 fusion.cc:310]  in 1.895s (3592577 points)
+I20260621 12:57:49.061169 140322137096192 fusion.cc:283] Fusing image [103/128] with index 66
+I20260621 12:57:50.691212 140322137096192 fusion.cc:310]  in 1.630s (3596808 points)
+I20260621 12:57:50.691270 140322137096192 fusion.cc:283] Fusing image [104/128] with index 100
+I20260621 12:57:51.936584 140322137096192 fusion.cc:310]  in 1.245s (3598090 points)
+I20260621 12:57:51.936636 140322137096192 fusion.cc:283] Fusing image [105/128] with index 21
+I20260621 12:57:52.635229 140322137096192 fusion.cc:310]  in 0.699s (3599644 points)
+I20260621 12:57:52.635290 140322137096192 fusion.cc:283] Fusing image [106/128] with index 102
+I20260621 12:57:53.359058 140322137096192 fusion.cc:310]  in 0.724s (3599873 points)
+I20260621 12:57:53.359111 140322137096192 fusion.cc:283] Fusing image [107/128] with index 13
+I20260621 12:57:53.905800 140322137096192 fusion.cc:310]  in 0.547s (3599941 points)
+I20260621 12:57:53.905852 140322137096192 fusion.cc:283] Fusing image [108/128] with index 77
+I20260621 12:57:54.410221 140322137096192 fusion.cc:310]  in 0.504s (3599960 points)
+I20260621 12:57:54.410279 140322137096192 fusion.cc:283] Fusing image [109/128] with index 48
+I20260621 12:57:54.846762 140322137096192 fusion.cc:310]  in 0.436s (3600015 points)
+I20260621 12:57:54.846820 140322137096192 fusion.cc:283] Fusing image [110/128] with index 60
+I20260621 12:57:55.235862 140322137096192 fusion.cc:310]  in 0.389s (3600019 points)
+I20260621 12:57:55.235914 140322137096192 fusion.cc:283] Fusing image [111/128] with index 92
+I20260621 12:57:55.626388 140322137096192 fusion.cc:310]  in 0.390s (3602135 points)
+I20260621 12:57:55.626445 140322137096192 fusion.cc:283] Fusing image [112/128] with index 120
+I20260621 12:57:56.014279 140322137096192 fusion.cc:310]  in 0.388s (3603916 points)
+I20260621 12:57:56.014328 140322137096192 fusion.cc:283] Fusing image [113/128] with index 107
+I20260621 12:57:56.379486 140322137096192 fusion.cc:310]  in 0.365s (3606981 points)
+I20260621 12:57:56.379580 140322137096192 fusion.cc:283] Fusing image [114/128] with index 99
+I20260621 12:57:56.716577 140322137096192 fusion.cc:310]  in 0.337s (3608811 points)
+I20260621 12:57:56.716634 140322137096192 fusion.cc:283] Fusing image [115/128] with index 74
+I20260621 12:57:57.052955 140322137096192 fusion.cc:310]  in 0.336s (3609556 points)
+I20260621 12:57:57.053009 140322137096192 fusion.cc:283] Fusing image [116/128] with index 41
+I20260621 12:57:57.357545 140322137096192 fusion.cc:310]  in 0.305s (3609640 points)
+I20260621 12:57:57.357594 140322137096192 fusion.cc:283] Fusing image [117/128] with index 39
+I20260621 12:57:57.634739 140322137096192 fusion.cc:310]  in 0.277s (3609654 points)
+I20260621 12:57:57.634791 140322137096192 fusion.cc:283] Fusing image [118/128] with index 61
+I20260621 12:57:57.892276 140322137096192 fusion.cc:310]  in 0.257s (3609659 points)
+I20260621 12:57:57.892347 140322137096192 fusion.cc:283] Fusing image [119/128] with index 95
+I20260621 12:57:58.190642 140322137096192 fusion.cc:310]  in 0.298s (3609659 points)
+I20260621 12:57:58.190700 140322137096192 fusion.cc:283] Fusing image [120/128] with index 110
+I20260621 12:57:58.850569 140322137096192 fusion.cc:310]  in 0.660s (3609661 points)
+I20260621 12:57:58.850639 140322137096192 fusion.cc:283] Fusing image [121/128] with index 117
+I20260621 12:57:59.075006 140322137096192 fusion.cc:310]  in 0.224s (3609667 points)
+I20260621 12:57:59.075063 140322137096192 fusion.cc:283] Fusing image [122/128] with index 53
+I20260621 12:57:59.315218 140322137096192 fusion.cc:310]  in 0.240s (3609667 points)
+I20260621 12:57:59.315264 140322137096192 fusion.cc:283] Fusing image [123/128] with index 9
+I20260621 12:57:59.837468 140322137096192 fusion.cc:310]  in 0.522s (3609702 points)
+I20260621 12:57:59.837585 140322137096192 fusion.cc:283] Fusing image [124/128] with index 97
+I20260621 12:58:00.303861 140322137096192 fusion.cc:310]  in 0.466s (3609702 points)
+I20260621 12:58:00.303936 140322137096192 fusion.cc:283] Fusing image [125/128] with index 52
+I20260621 12:58:00.706900 140322137096192 fusion.cc:310]  in 0.403s (3609721 points)
+I20260621 12:58:00.706954 140322137096192 fusion.cc:283] Fusing image [126/128] with index 124
+I20260621 12:58:01.102023 140322137096192 fusion.cc:310]  in 0.395s (3609740 points)
+I20260621 12:58:01.102078 140322137096192 fusion.cc:283] Fusing image [127/128] with index 90
+I20260621 12:58:01.453591 140322137096192 fusion.cc:310]  in 0.352s (3609743 points)
+I20260621 12:58:01.453648 140322137096192 fusion.cc:283] Fusing image [128/128] with index 56
+I20260621 12:58:02.186814 140322137096192 fusion.cc:310]  in 0.733s (3609743 points)
+I20260621 12:58:02.811204 140322137096192 fusion.cc:337] Number of fused points: 3609743
+I20260621 12:58:02.811260 140322137096192 timer.cc:90] Elapsed time: 5.833 [minutes]
+I20260621 12:58:03.933108 140322137096192 mvs.cc:341] Writing output: "/content/out/golden_mvs/dense/fused.ply"

colmap_golden_bundle/logs/mvs_undistort.log

@@ -0,0 +1,137 @@
+I20260621 11:15:17.604745 132631520890880 image.cc:368] === Reading reconstruction ===
+I20260621 11:15:19.454207 132631520890880 image.cc:371] => Reconstruction with 128 images and 61514 points
+I20260621 11:15:19.454253 132631520890880 undistorters.cc:166] === Image undistortion ===
+I20260621 11:15:19.455244 132631520890880 undistorters.cc:205] Undistorting image [1/128]
+I20260621 11:15:27.596550 132631520890880 undistorters.cc:205] Undistorting image [2/128]
+I20260621 11:15:27.671484 132631520890880 undistorters.cc:205] Undistorting image [3/128]
+I20260621 11:15:33.899522 132631520890880 undistorters.cc:205] Undistorting image [4/128]
+I20260621 11:15:33.915337 132631520890880 undistorters.cc:205] Undistorting image [5/128]
+I20260621 11:15:42.504617 132631520890880 undistorters.cc:205] Undistorting image [6/128]
+I20260621 11:15:42.558992 132631520890880 undistorters.cc:205] Undistorting image [7/128]
+I20260621 11:15:48.718960 132631520890880 undistorters.cc:205] Undistorting image [8/128]
+I20260621 11:15:48.770011 132631520890880 undistorters.cc:205] Undistorting image [9/128]
+I20260621 11:15:56.591279 132631520890880 undistorters.cc:205] Undistorting image [10/128]
+I20260621 11:15:57.004037 132631520890880 undistorters.cc:205] Undistorting image [11/128]
+I20260621 11:16:02.787063 132631520890880 undistorters.cc:205] Undistorting image [12/128]
+I20260621 11:16:03.171440 132631520890880 undistorters.cc:205] Undistorting image [13/128]
+I20260621 11:16:10.810419 132631520890880 undistorters.cc:205] Undistorting image [14/128]
+I20260621 11:16:11.354521 132631520890880 undistorters.cc:205] Undistorting image [15/128]
+I20260621 11:16:16.979074 132631520890880 undistorters.cc:205] Undistorting image [16/128]
+I20260621 11:16:17.523458 132631520890880 undistorters.cc:205] Undistorting image [17/128]
+I20260621 11:16:25.076955 132631520890880 undistorters.cc:205] Undistorting image [18/128]
+I20260621 11:16:25.532722 132631520890880 undistorters.cc:205] Undistorting image [19/128]
+I20260621 11:16:31.294461 132631520890880 undistorters.cc:205] Undistorting image [20/128]
+I20260621 11:16:31.686884 132631520890880 undistorters.cc:205] Undistorting image [21/128]
+I20260621 11:16:39.053211 132631520890880 undistorters.cc:205] Undistorting image [22/128]
+I20260621 11:16:40.119924 132631520890880 undistorters.cc:205] Undistorting image [23/128]
+I20260621 11:16:45.454120 132631520890880 undistorters.cc:205] Undistorting image [24/128]
+I20260621 11:16:46.338819 132631520890880 undistorters.cc:205] Undistorting image [25/128]
+I20260621 11:16:52.711521 132631520890880 undistorters.cc:205] Undistorting image [26/128]
+I20260621 11:16:54.432528 132631520890880 undistorters.cc:205] Undistorting image [27/128]
+I20260621 11:16:59.621144 132631520890880 undistorters.cc:205] Undistorting image [28/128]
+I20260621 11:17:00.575765 132631520890880 undistorters.cc:205] Undistorting image [29/128]
+I20260621 11:17:06.336529 132631520890880 undistorters.cc:205] Undistorting image [30/128]
+I20260621 11:17:08.570530 132631520890880 undistorters.cc:205] Undistorting image [31/128]
+I20260621 11:17:13.628675 132631520890880 undistorters.cc:205] Undistorting image [32/128]
+I20260621 11:17:15.029371 132631520890880 undistorters.cc:205] Undistorting image [33/128]
+I20260621 11:17:19.880323 132631520890880 undistorters.cc:205] Undistorting image [34/128]
+I20260621 11:17:22.768306 132631520890880 undistorters.cc:205] Undistorting image [35/128]
+I20260621 11:17:27.686529 132631520890880 undistorters.cc:205] Undistorting image [36/128]
+I20260621 11:17:29.320983 132631520890880 undistorters.cc:205] Undistorting image [37/128]
+I20260621 11:17:33.874436 132631520890880 undistorters.cc:205] Undistorting image [38/128]
+I20260621 11:17:36.424528 132631520890880 undistorters.cc:205] Undistorting image [39/128]
+I20260621 11:17:41.911420 132631520890880 undistorters.cc:205] Undistorting image [40/128]
+I20260621 11:17:43.619113 132631520890880 undistorters.cc:205] Undistorting image [41/128]
+I20260621 11:17:48.160292 132631520890880 undistorters.cc:205] Undistorting image [42/128]
+I20260621 11:17:50.355528 132631520890880 undistorters.cc:205] Undistorting image [43/128]
+I20260621 11:17:56.145140 132631520890880 undistorters.cc:205] Undistorting image [44/128]
+I20260621 11:17:57.909473 132631520890880 undistorters.cc:205] Undistorting image [45/128]
+I20260621 11:18:02.199106 132631520890880 undistorters.cc:205] Undistorting image [46/128]
+I20260621 11:18:04.489590 132631520890880 undistorters.cc:205] Undistorting image [47/128]
+I20260621 11:18:10.219917 132631520890880 undistorters.cc:205] Undistorting image [48/128]
+I20260621 11:18:12.141104 132631520890880 undistorters.cc:205] Undistorting image [49/128]
+I20260621 11:18:16.427674 132631520890880 undistorters.cc:205] Undistorting image [50/128]
+I20260621 11:18:18.362757 132631520890880 undistorters.cc:205] Undistorting image [51/128]
+I20260621 11:18:24.460852 132631520890880 undistorters.cc:205] Undistorting image [52/128]
+I20260621 11:18:26.348849 132631520890880 undistorters.cc:205] Undistorting image [53/128]
+I20260621 11:18:30.620413 132631520890880 undistorters.cc:205] Undistorting image [54/128]
+I20260621 11:18:32.490612 132631520890880 undistorters.cc:205] Undistorting image [55/128]
+I20260621 11:18:38.612623 132631520890880 undistorters.cc:205] Undistorting image [56/128]
+I20260621 11:18:40.532096 132631520890880 undistorters.cc:205] Undistorting image [57/128]
+I20260621 11:18:44.812676 132631520890880 undistorters.cc:205] Undistorting image [58/128]
+I20260621 11:18:46.659008 132631520890880 undistorters.cc:205] Undistorting image [59/128]
+I20260621 11:18:52.752436 132631520890880 undistorters.cc:205] Undistorting image [60/128]
+I20260621 11:18:54.668159 132631520890880 undistorters.cc:205] Undistorting image [61/128]
+I20260621 11:18:58.889621 132631520890880 undistorters.cc:205] Undistorting image [62/128]
+I20260621 11:19:00.816577 132631520890880 undistorters.cc:205] Undistorting image [63/128]
+I20260621 11:19:06.713351 132631520890880 undistorters.cc:205] Undistorting image [64/128]
+I20260621 11:19:08.873711 132631520890880 undistorters.cc:205] Undistorting image [65/128]
+I20260621 11:19:13.005521 132631520890880 undistorters.cc:205] Undistorting image [66/128]
+I20260621 11:19:15.028258 132631520890880 undistorters.cc:205] Undistorting image [67/128]
+I20260621 11:19:20.648375 132631520890880 undistorters.cc:205] Undistorting image [68/128]
+I20260621 11:19:23.049893 132631520890880 undistorters.cc:205] Undistorting image [69/128]
+I20260621 11:19:27.150133 132631520890880 undistorters.cc:205] Undistorting image [70/128]
+I20260621 11:19:29.188481 132631520890880 undistorters.cc:205] Undistorting image [71/128]
+I20260621 11:19:34.283001 132631520890880 undistorters.cc:205] Undistorting image [72/128]
+I20260621 11:19:37.256420 132631520890880 undistorters.cc:205] Undistorting image [73/128]
+I20260621 11:19:41.319236 132631520890880 undistorters.cc:205] Undistorting image [74/128]
+I20260621 11:19:43.422746 132631520890880 undistorters.cc:205] Undistorting image [75/128]
+I20260621 11:19:48.464981 132631520890880 undistorters.cc:205] Undistorting image [76/128]
+I20260621 11:19:51.277520 132631520890880 undistorters.cc:205] Undistorting image [77/128]
+I20260621 11:19:55.588182 132631520890880 undistorters.cc:205] Undistorting image [78/128]
+I20260621 11:19:57.395280 132631520890880 undistorters.cc:205] Undistorting image [79/128]
+I20260621 11:20:02.125532 132631520890880 undistorters.cc:205] Undistorting image [80/128]
+I20260621 11:20:05.510631 132631520890880 undistorters.cc:205] Undistorting image [81/128]
+I20260621 11:20:09.597930 132631520890880 undistorters.cc:205] Undistorting image [82/128]
+I20260621 11:20:11.570549 132631520890880 undistorters.cc:205] Undistorting image [83/128]
+I20260621 11:20:15.989533 132631520890880 undistorters.cc:205] Undistorting image [84/128]
+I20260621 11:20:19.129446 132631520890880 undistorters.cc:205] Undistorting image [85/128]
+I20260621 11:20:23.990780 132631520890880 undistorters.cc:205] Undistorting image [86/128]
+I20260621 11:20:25.563950 132631520890880 undistorters.cc:205] Undistorting image [87/128]
+I20260621 11:20:30.185698 132631520890880 undistorters.cc:205] Undistorting image [88/128]
+I20260621 11:20:32.482377 132631520890880 undistorters.cc:205] Undistorting image [89/128]
+I20260621 11:20:38.158371 132631520890880 undistorters.cc:205] Undistorting image [90/128]
+I20260621 11:20:39.819452 132631520890880 undistorters.cc:205] Undistorting image [91/128]
+I20260621 11:20:44.258450 132631520890880 undistorters.cc:205] Undistorting image [92/128]
+I20260621 11:20:46.425301 132631520890880 undistorters.cc:205] Undistorting image [93/128]
+I20260621 11:20:52.322972 132631520890880 undistorters.cc:205] Undistorting image [94/128]
+I20260621 11:20:53.916894 132631520890880 undistorters.cc:205] Undistorting image [95/128]
+I20260621 11:20:58.473236 132631520890880 undistorters.cc:205] Undistorting image [96/128]
+I20260621 11:21:00.576522 132631520890880 undistorters.cc:205] Undistorting image [97/128]
+I20260621 11:21:06.482782 132631520890880 undistorters.cc:205] Undistorting image [98/128]
+I20260621 11:21:08.114213 132631520890880 undistorters.cc:205] Undistorting image [99/128]
+I20260621 11:21:12.607549 132631520890880 undistorters.cc:205] Undistorting image [100/128]
+I20260621 11:21:14.309601 132631520890880 undistorters.cc:205] Undistorting image [101/128]
+I20260621 11:21:20.528786 132631520890880 undistorters.cc:205] Undistorting image [102/128]
+I20260621 11:21:22.470027 132631520890880 undistorters.cc:205] Undistorting image [103/128]
+I20260621 11:21:26.621407 132631520890880 undistorters.cc:205] Undistorting image [104/128]
+I20260621 11:21:28.605066 132631520890880 undistorters.cc:205] Undistorting image [105/128]
+I20260621 11:21:34.646853 132631520890880 undistorters.cc:205] Undistorting image [106/128]
+I20260621 11:21:36.655800 132631520890880 undistorters.cc:205] Undistorting image [107/128]
+I20260621 11:21:40.760744 132631520890880 undistorters.cc:205] Undistorting image [108/128]
+I20260621 11:21:42.841340 132631520890880 undistorters.cc:205] Undistorting image [109/128]
+I20260621 11:21:48.812766 132631520890880 undistorters.cc:205] Undistorting image [110/128]
+I20260621 11:21:50.761045 132631520890880 undistorters.cc:205] Undistorting image [111/128]
+I20260621 11:21:54.948422 132631520890880 undistorters.cc:205] Undistorting image [112/128]
+I20260621 11:21:56.829549 132631520890880 undistorters.cc:205] Undistorting image [113/128]
+I20260621 11:22:02.245523 132631520890880 undistorters.cc:205] Undistorting image [114/128]
+I20260621 11:22:04.954046 132631520890880 undistorters.cc:205] Undistorting image [115/128]
+I20260621 11:22:08.993019 132631520890880 undistorters.cc:205] Undistorting image [116/128]
+I20260621 11:22:11.059775 132631520890880 undistorters.cc:205] Undistorting image [117/128]
+I20260621 11:22:16.019438 132631520890880 undistorters.cc:205] Undistorting image [118/128]
+I20260621 11:22:19.263430 132631520890880 undistorters.cc:205] Undistorting image [119/128]
+I20260621 11:22:22.998859 132631520890880 undistorters.cc:205] Undistorting image [120/128]
+I20260621 11:22:25.366870 132631520890880 undistorters.cc:205] Undistorting image [121/128]
+I20260621 11:22:29.749526 132631520890880 undistorters.cc:205] Undistorting image [122/128]
+I20260621 11:22:33.507522 132631520890880 undistorters.cc:205] Undistorting image [123/128]
+I20260621 11:22:37.294314 132631520890880 undistorters.cc:205] Undistorting image [124/128]
+I20260621 11:22:39.675960 132631520890880 undistorters.cc:205] Undistorting image [125/128]
+I20260621 11:22:43.562194 132631520890880 undistorters.cc:205] Undistorting image [126/128]
+I20260621 11:22:47.817283 132631520890880 undistorters.cc:205] Undistorting image [127/128]
+I20260621 11:22:51.481097 132631520890880 undistorters.cc:205] Undistorting image [128/128]
+I20260621 11:22:52.701006 132631520890880 undistorters.cc:213] Writing reconstruction...
+I20260621 11:22:53.078881 132631520890880 undistorters.cc:218] Writing configuration...
+I20260621 11:22:53.079040 132631520890880 undistorters.cc:222] Writing scripts...
+I20260621 11:22:53.079111 132631520890880 timer.cc:90] Elapsed time: 7.560 [minutes]
+undistorted images:
+128

colmap_golden_bundle/logs/watcher.log

@@ -0,0 +1,8 @@
+[watcher] waiting for patch_match_stereo (pid 16339) to finish...
+[watcher] patch_match_stereo finished at Sun Jun 21 12:52:12 PM UTC 2026
+[watcher] running stereo_fusion...
+[watcher] fusion exit=0 at Sun Jun 21 12:58:12 PM UTC 2026
+-rw-r--r-- 1 root root 97463296 Jun 21 12:58 /content/out/golden_mvs/dense/fused.ply
+[watcher] zipping golden data...
+-rw-r--r-- 1 root root 4724166860 Jun 21 13:04 /content/out/golden_mvs_south-building.zip
+[watcher] DONE at Sun Jun 21 01:04:49 PM UTC 2026