stanford_bunny.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import cv2\n",
    "import numpy as np\n",
    "import os\n",
    "os.environ[\"OPENCV_IO_ENABLE_OPENEXR\"]=\"1\"\n",
    "from tsdf import TSDF, get_volume_bounds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_folder = \"data/stanford_bunny/\"\n",
    "cam_intrinsics_file = data_folder + \"cam.txt\"\n",
    "frame_color_img_file = data_folder + \"rgb_{:04d}.png\"\n",
    "frame_depth_img_file = data_folder + \"depth_{:04d}.exr\"\n",
    "frame_pose_file = data_folder + \"pose_{:04d}.txt\"\n",
    "frames_count = 500\n",
    "cam_to_motion_T = np.diag([1, 1, 1, 1])\n",
    "output_mesh_file = \"bunny_outputs/bunny_mesh.ply\"\n",
    "output_pc_file = \"bunny_outputs/bunny_pc.ply\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "def process_data():\n",
    "    frame_color_imgs = []\n",
    "    frame_depth_imgs = []\n",
    "    frame_poses = []\n",
    "\n",
    "    # read the data\n",
    "    for i in range(frames_count):\n",
    "        color_img = cv2.imread(frame_color_img_file.format(i))\n",
    "        color_img = cv2.cvtColor(color_img, cv2.COLOR_BGR2RGB)\n",
    "        # flip image horizontally\n",
    "        color_img = cv2.flip(color_img, 1)\n",
    "        frame_color_imgs.append(color_img)\n",
    "\n",
    "        depth_img = cv2.imread(frame_depth_img_file.format(i), cv2.IMREAD_ANYCOLOR | cv2.IMREAD_ANYDEPTH)\n",
    "        depth_img = cv2.cvtColor(depth_img, cv2.COLOR_BGR2GRAY)\n",
    "        depth_img = cv2.flip(depth_img, 1)\n",
    "        depth_img[depth_img == 65504] = 0\n",
    "        \n",
    "        frame_depth_imgs.append(depth_img)\n",
    "        frame_pose = np.loadtxt(frame_pose_file.format(i)) @ cam_to_motion_T\n",
    "        frame_poses.append(frame_pose)\n",
    "    return frame_color_imgs, frame_depth_imgs, frame_poses\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "frame_color_imgs, frame_depth_imgs, frame_poses = process_data()\n",
    "cam_intrinsics = np.loadtxt(cam_intrinsics_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rgb_img = frame_color_imgs[0]\n",
    "depth_img = frame_depth_imgs[0]\n",
    "p = frame_poses[0]\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "# plot the first frame\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.imshow(rgb_img)\n",
    "plt.title(\"RGB Image\")\n",
    "plt.axis(\"off\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.imshow(depth_img, cmap=\"gray\")\n",
    "plt.title(\"Depth Image\")\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TSDF Construction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Volume bounds:\n",
      "[[-3.06000018  3.06000018]\n",
      " [-3.05971408  3.05971408]\n",
      " [-3.05971408  3.05971408]]\n"
     ]
    }
   ],
   "source": [
    "tsdf_voxel_size = 0.02  # 2cm\n",
    "tsdf_trunc_margin =5*tsdf_voxel_size  # 10cm\n",
    "\n",
    "volume_bounds = get_volume_bounds(\n",
    "    frames_count, frame_depth_imgs, frame_poses, cam_intrinsics\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Volume dims:  [307 306 306]\n",
      "Using GPU:  NVIDIA GeForce RTX 3090\n",
      "Maximum number of threads per block: 1024\n",
      "Maximum block dimension: 1024, 1024, 64\n",
      "Maximum grid dimension: 2147483647, 65535, 65535\n",
      "Block size: (1024, 1, 1), Grid size: (28073, 1, 1)\n",
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      "Time:  1.6444971561431885 seconds\n",
      "FPS:  304.0443080927191\n"
     ]
    }
   ],
   "source": [
    "tsdf_obj = TSDF(\n",
    "    volume_bounds,\n",
    "    voxel_size=tsdf_voxel_size,\n",
    "    trunc_margin=tsdf_trunc_margin,\n",
    "    run_on_gpu=True,\n",
    ")\n",
    "start_time = time.time()\n",
    "tsdf_obj.build_tsdf(\n",
    "    frames_count, frame_color_imgs, frame_depth_imgs, frame_poses, cam_intrinsics\n",
    ")\n",
    "end_time = time.time()\n",
    "print(\"Time: \", end_time - start_time, \"seconds\")\n",
    "print(\"FPS: \", frames_count / (end_time - start_time))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mesh saved to bunny_outputs/bunny_mesh.ply\n",
      "Point cloud saved to bunny_outputs/bunny_pc.ply\n"
     ]
    }
   ],
   "source": [
    "tsdf_obj.save_mesh(output_mesh_file)\n",
    "tsdf_obj.save_point_cloud(output_pc_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x500 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show random dataset rgb images and depth images in one figure\n",
    "fig, axs = plt.subplots(2, 5, figsize=(20, 5))\n",
    "for i in range(5):\n",
    "    idx = np.random.randint(frames_count)\n",
    "    axs[0, i].imshow(frame_color_imgs[idx])\n",
    "    axs[0, i].set_title(f\"RGB Image {idx}\")\n",
    "    axs[0, i].axis(\"off\")\n",
    "    axs[1, i].imshow(frame_depth_imgs[idx], cmap=\"gray\")\n",
    "    axs[1, i].set_title(f\"Depth Image {idx}\")\n",
    "    axs[1, i].axis(\"off\")\n",
    "plt.suptitle(\"Random RGB and Depth Images\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Occupancy Dual Contouring"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "\n",
    "volume_origin = torch.tensor(tsdf_obj.volume_origin, device=\"cuda:0\")\n",
    "tsdf_tensor = torch.tensor(tsdf_obj.get_tsdf()[0], device=\"cuda:0\")\n",
    "voxel_size = tsdf_obj.voxel_size\n",
    "\n",
    "\n",
    "def implicit_function(xyz):\n",
    "    \"\"\"\n",
    "    Implicit function for the TSDF volume. Performs trilinear interpolation to get the value at the given point.\n",
    "    \"\"\"\n",
    "    # world space to voxel grid space\n",
    "    relative_xyz = (xyz - volume_origin) / voxel_size\n",
    "\n",
    "    device = relative_xyz.device\n",
    "    min_bound = torch.tensor([0, 0, 0], dtype=torch.float64, device=device)\n",
    "    max_bound = torch.tensor([tsdf_tensor.shape[0] - 1, \n",
    "                              tsdf_tensor.shape[1] - 1, \n",
    "                              tsdf_tensor.shape[2] - 1], dtype=torch.float64, device=device)\n",
    "    relative_xyz = torch.clamp(relative_xyz, min=min_bound, max=max_bound)\n",
    "    \n",
    "\n",
    "    interpolated_values = []\n",
    "    \n",
    "    # interpolation for each point in xyz\n",
    "    for i in range(xyz.shape[0]):\n",
    "        xyz_point = relative_xyz[i]\n",
    "        lower_indices = torch.floor(xyz_point).long()\n",
    "        fractional_part = xyz_point - lower_indices.float()\n",
    "\n",
    "        # neighbors - 8 surrounding points for trilinear interpolation\n",
    "        x0, y0, z0 = lower_indices\n",
    "        x1, y1, z1 = x0 + 1, y0 + 1, z0 + 1\n",
    "\n",
    "        # Fetch the values at the 8 surrounding points \n",
    "        values = []\n",
    "        for j, k, l in [(x0, y0, z0), (x0, y0, z1), (x0, y1, z0), (x0, y1, z1),\n",
    "                         (x1, y0, z0), (x1, y0, z1), (x1, y1, z0), (x1, y1, z1)]:\n",
    "            if 0 <= j < tsdf_tensor.shape[0] and 0 <= k < tsdf_tensor.shape[1] and 0 <= l < tsdf_tensor.shape[2]:\n",
    "                values.append(tsdf_tensor[j, k, l])\n",
    "            else:\n",
    "                values.append(torch.tensor(0.0, dtype=torch.float64)) \n",
    "                \n",
    "        c000, c001, c010, c011, c100, c101, c110, c111 = values\n",
    "        c00 = c000 * (1 - fractional_part[0]) + c100 * fractional_part[0]\n",
    "        c01 = c001 * (1 - fractional_part[0]) + c101 * fractional_part[0]\n",
    "        c10 = c010 * (1 - fractional_part[0]) + c110 * fractional_part[0]\n",
    "        c11 = c011 * (1 - fractional_part[0]) + c111 * fractional_part[0]\n",
    "        c0 = c00 * (1 - fractional_part[1]) + c10 * fractional_part[1]\n",
    "        c1 = c01 * (1 - fractional_part[1]) + c11 * fractional_part[1]\n",
    "        interpolated_value = c0 * (1 - fractional_part[2]) + c1 * fractional_part[2]\n",
    "        \n",
    "        interpolated_values.append(interpolated_value)\n",
    "    \n",
    "    return torch.stack(interpolated_values)\n",
    "\n",
    "\n",
    "from occupancy_dual_contouring import occupancy_dual_contouring\n",
    "odc = occupancy_dual_contouring(\"cuda:0\")\n",
    "vertices, triangles = odc.extract_mesh(implicit_function, min_coord=tsdf_obj.volume_bounds[:,0].flatten(), max_coord=tsdf_obj.volume_bounds[:,1].flatten(), num_grid=100)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ODC Mesh exported\n"
     ]
    }
   ],
   "source": [
    "import trimesh\n",
    "mesh = trimesh.Trimesh(vertices.cpu().numpy(), triangles.cpu().numpy())\n",
    "mesh.export(\"bunny_outputs/bunny_odc.ply\")\n",
    "print(\"ODC Mesh exported\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TSDF update"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mesh saved to bunny_outputs/tsdf_update/bunny_mesh_1.ply\n",
      "Mesh saved to bunny_outputs/tsdf_update/bunny_mesh_10.ply\n",
      "Mesh saved to bunny_outputs/tsdf_update/bunny_mesh_50.ply\n",
      "Mesh saved to bunny_outputs/tsdf_update/bunny_mesh_100.ply\n",
      "Mesh saved to bunny_outputs/tsdf_update/bunny_mesh_200.ply\n"
     ]
    }
   ],
   "source": [
    "tsdf_obj_ = TSDF(\n",
    "    volume_bounds,\n",
    "    voxel_size=tsdf_voxel_size,\n",
    "    trunc_margin=tsdf_trunc_margin,\n",
    "    run_on_gpu=True,\n",
    "    verbose=False\n",
    ")\n",
    "for i in range(frames_count):\n",
    "    tsdf_obj_.add_frame(\n",
    "        frame_color_imgs[i], frame_depth_imgs[i], frame_poses[i], cam_intrinsics\n",
    "    )\n",
    "    if i in [1, 10, 50, 100, 200, 500]:\n",
    "        tsdf_obj_.save_mesh(f\"bunny_outputs/tsdf_update/bunny_mesh_{i}.ply\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Different hyperparameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time:  3.710686683654785 seconds for voxel size:  0.01\n",
      "Mesh saved to bunny_outputs/hyperparameters/voxel_size_0.01.ply\n",
      "Time:  1.687652587890625 seconds for voxel size:  0.02\n",
      "Mesh saved to bunny_outputs/hyperparameters/voxel_size_0.02.ply\n",
      "Time:  1.3327889442443848 seconds for voxel size:  0.5\n",
      "Mesh saved to bunny_outputs/hyperparameters/voxel_size_0.5.ply\n"
     ]
    }
   ],
   "source": [
    "# changing the voxel size\n",
    "voxel_sizes = [0.01, 0.02, 0.5]\n",
    "for v in voxel_sizes:\n",
    "    tsdf_obj_ = TSDF(\n",
    "        volume_bounds,\n",
    "        voxel_size=v,\n",
    "        trunc_margin=tsdf_trunc_margin,\n",
    "        run_on_gpu=True,\n",
    "        verbose=False\n",
    "    )\n",
    "    start_time = time.time()\n",
    "    tsdf_obj_.build_tsdf(\n",
    "        frames_count, frame_color_imgs, frame_depth_imgs, frame_poses, cam_intrinsics\n",
    "    )\n",
    "    end_time = time.time()\n",
    "    print(\"Time: \", end_time - start_time, \"seconds for voxel size: \", v)\n",
    "    tsdf_obj_.save_mesh(f\"bunny_outputs/hyperparameters/voxel_size_{v}.ply\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time:  1.6443212032318115 seconds for truncation margin:  0.01\n",
      "Mesh saved to bunny_outputs/hyperparameters/trunc_margin_0.01.ply\n",
      "Time:  1.644012451171875 seconds for truncation margin:  0.1\n",
      "Mesh saved to bunny_outputs/hyperparameters/trunc_margin_0.1.ply\n",
      "Time:  1.638268232345581 seconds for truncation margin:  0.5\n",
      "Mesh saved to bunny_outputs/hyperparameters/trunc_margin_0.5.ply\n"
     ]
    }
   ],
   "source": [
    "# changing the truncation margin\n",
    "trunc_margins = [0.01, 0.1, 0.5]\n",
    "for t in trunc_margins:\n",
    "    tsdf_obj_ = TSDF(\n",
    "        volume_bounds,\n",
    "        voxel_size=tsdf_voxel_size,\n",
    "        trunc_margin=t,\n",
    "        run_on_gpu=True,\n",
    "        verbose=False\n",
    "    )\n",
    "    start_time = time.time()\n",
    "    tsdf_obj_.build_tsdf(\n",
    "        frames_count, frame_color_imgs, frame_depth_imgs, frame_poses, cam_intrinsics\n",
    "    )\n",
    "    end_time = time.time()\n",
    "    print(\"Time: \", end_time - start_time, \"seconds for truncation margin: \", t)\n",
    "    tsdf_obj_.save_mesh(f\"bunny_outputs/hyperparameters/trunc_margin_{t}.ply\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Nearest Pose Estimation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating the tsdf only on every 5th frame and then using the nearest pose estimation to get the tsdf for the intermediate frames."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_frame_count = frames_count // 5\n",
    "train_frame_color_imgs = frame_color_imgs[::5]\n",
    "train_frame_depth_imgs = frame_depth_imgs[::5]\n",
    "train_frame_poses = frame_poses[::5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Volume dims:  [325 325 325]\n",
      "Using GPU:  NVIDIA GeForce RTX 3090\n",
      "Maximum number of threads per block: 1024\n",
      "Maximum block dimension: 1024, 1024, 64\n",
      "Maximum grid dimension: 2147483647, 65535, 65535\n",
      "Block size: (1024, 1, 1), Grid size: (33524, 1, 1)\n",
      "Fusing frame 0\n",
      "Fusing frame 1\n",
      "Fusing frame 2\n",
      "Fusing frame 3\n",
      "Fusing frame 4\n",
      "Fusing frame 5\n",
      "Fusing frame 6\n",
      "Fusing frame 7\n",
      "Fusing frame 8\n",
      "Fusing frame 9\n",
      "Fusing frame 10\n",
      "Fusing frame 11\n",
      "Fusing frame 12\n",
      "Fusing frame 13\n",
      "Fusing frame 14\n",
      "Fusing frame 15\n",
      "Fusing frame 16\n",
      "Fusing frame 17\n",
      "Fusing frame 18\n",
      "Fusing frame 19\n",
      "Fusing frame 20\n",
      "Fusing frame 21\n",
      "Fusing frame 22\n",
      "Fusing frame 23\n",
      "Fusing frame 24\n",
      "Fusing frame 25\n",
      "Fusing frame 26\n",
      "Fusing frame 27\n",
      "Fusing frame 28\n",
      "Fusing frame 29\n",
      "Fusing frame 30\n",
      "Fusing frame 31\n",
      "Fusing frame 32\n",
      "Fusing frame 33\n",
      "Fusing frame 34\n",
      "Fusing frame 35\n",
      "Fusing frame 36\n",
      "Fusing frame 37\n",
      "Fusing frame 38\n",
      "Fusing frame 39\n",
      "Fusing frame 40\n",
      "Fusing frame 41\n",
      "Fusing frame 42\n",
      "Fusing frame 43\n",
      "Fusing frame 44\n",
      "Fusing frame 45\n",
      "Fusing frame 46\n",
      "Fusing frame 47\n",
      "Fusing frame 48\n",
      "Fusing frame 49\n",
      "Fusing frame 50\n",
      "Fusing frame 51\n",
      "Fusing frame 52\n",
      "Fusing frame 53\n",
      "Fusing frame 54\n",
      "Fusing frame 55\n",
      "Fusing frame 56\n",
      "Fusing frame 57\n",
      "Fusing frame 58\n",
      "Fusing frame 59\n",
      "Fusing frame 60\n",
      "Fusing frame 61\n",
      "Fusing frame 62\n",
      "Fusing frame 63\n",
      "Fusing frame 64\n",
      "Fusing frame 65\n",
      "Fusing frame 66\n",
      "Fusing frame 67\n",
      "Fusing frame 68\n",
      "Fusing frame 69\n",
      "Fusing frame 70\n",
      "Fusing frame 71\n",
      "Fusing frame 72\n",
      "Fusing frame 73\n",
      "Fusing frame 74\n",
      "Fusing frame 75\n",
      "Fusing frame 76\n",
      "Fusing frame 77\n",
      "Fusing frame 78\n",
      "Fusing frame 79\n",
      "Fusing frame 80\n",
      "Fusing frame 81\n",
      "Fusing frame 82\n",
      "Fusing frame 83\n",
      "Fusing frame 84\n",
      "Fusing frame 85\n",
      "Fusing frame 86\n",
      "Fusing frame 87\n",
      "Fusing frame 88\n",
      "Fusing frame 89\n",
      "Fusing frame 90\n",
      "Fusing frame 91\n",
      "Fusing frame 92\n",
      "Fusing frame 93\n",
      "Fusing frame 94\n",
      "Fusing frame 95\n",
      "Fusing frame 96\n",
      "Fusing frame 97\n",
      "Fusing frame 98\n",
      "Fusing frame 99\n",
      "Time:  0.35935139656066895 seconds\n",
      "FPS:  1391.3957334950428\n"
     ]
    }
   ],
   "source": [
    "tsdf_obj_ = TSDF(\n",
    "    volume_bounds,\n",
    "    voxel_size=tsdf_voxel_size,\n",
    "    trunc_margin=tsdf_trunc_margin,\n",
    "    run_on_gpu=True,\n",
    ")\n",
    "start_time = time.time()\n",
    "tsdf_obj_.build_tsdf(\n",
    "    train_frame_count, train_frame_color_imgs, train_frame_depth_imgs, train_frame_poses, cam_intrinsics\n",
    ")\n",
    "end_time = time.time()\n",
    "print(\"Time: \", end_time - start_time, \"seconds\")\n",
    "print(\"FPS: \", frames_count / (end_time - start_time))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# randomly sampling a image\n",
    "sample_image_rgb = frame_color_imgs[13]\n",
    "sample_image_depth = frame_depth_imgs[13]\n",
    "true_pose = frame_poses[13]\n",
    "\n",
    "plt.figure(figsize=(12, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.imshow(sample_image_rgb)\n",
    "plt.title(\"RGB Image\")\n",
    "plt.axis(\"off\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.imshow(sample_image_depth, cmap=\"gray\")\n",
    "plt.title(\"Depth Image\")\n",
    "plt.axis(\"off\")\n",
    "plt.suptitle(\"Sample RGB and Depth Images\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# alignment loss\n",
    "def compute_alignment_loss(fixed_tsdf, moving_tsdf):\n",
    "    mask = moving_tsdf != 1\n",
    "    fixed_tsdf = fixed_tsdf[mask]\n",
    "    moving_tsdf = moving_tsdf[mask]\n",
    "    alignment_loss = np.sum(np.abs(fixed_tsdf - moving_tsdf))\n",
    "    return alignment_loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "tsdf_grid, _, _ = tsdf_obj_.get_tsdf()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# iterate over all frames and find the best pose\n",
    "min_loss = np.inf\n",
    "best_pose = np.eye(4, 4)\n",
    "min_index = 0\n",
    "index = 0\n",
    "for pose in train_frame_poses:\n",
    "    tsdf_obj_sample_image = TSDF(\n",
    "        volume_bounds,\n",
    "        voxel_size=tsdf_voxel_size,\n",
    "        trunc_margin=tsdf_trunc_margin,\n",
    "        run_on_gpu=True,\n",
    "        verbose=False\n",
    "    )\n",
    "    tsdf_obj_sample_image.build_tsdf(\n",
    "        1, [sample_image_rgb], [sample_image_depth], [pose], cam_intrinsics\n",
    "    )\n",
    "    \n",
    "    tsdf_grid_sample_image, _, color_grid_sample_image = tsdf_obj_sample_image.get_tsdf()\n",
    "    \n",
    "    loss = compute_alignment_loss(tsdf_grid, tsdf_grid_sample_image)\n",
    "    \n",
    "    if loss < min_loss:\n",
    "        min_loss = loss\n",
    "        min_pose = pose\n",
    "        min_index = index\n",
    "    \n",
    "    index += 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show the nearest pose\n",
    "plt.figure(figsize=(12, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.imshow(frame_color_imgs[min_index])\n",
    "# plt.imshow(cv2.flip(frame_color_imgs[min_index], 1))\n",
    "plt.title(\"RGB Image\")\n",
    "plt.axis(\"off\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.imshow(frame_depth_imgs[min_index], cmap=\"gray\")\n",
    "# plt.imshow(cv2.flip(frame_depth_imgs[min_index], 1), cmap=\"gray\")\n",
    "plt.title(\"Depth Image\")\n",
    "plt.axis(\"off\")\n",
    "plt.suptitle(\"Nearest Pose\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show true image and the nearest image\n",
    "plt.figure(figsize=(12, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.imshow(sample_image_rgb)\n",
    "plt.title(\"Sampled RGB Image\")\n",
    "plt.axis(\"off\")\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.imshow(frame_color_imgs[min_index])\n",
    "plt.title(\"Nearest RGB Image\")\n",
    "plt.axis(\"off\")\n",
    "plt.suptitle(\"Sampled Image and Nearest Image\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True Pose:\n",
      "[[-4.91818972e-02 -4.36584919e-08 -9.98789847e-01  3.05629706e+00]\n",
      " [-9.98789847e-01  2.14980900e-09  4.91818972e-02 -1.50496751e-01]\n",
      " [ 0.00000000e+00 -1.00000000e+00  4.37113883e-08  0.00000000e+00]\n",
      " [ 0.00000000e+00  0.00000000e+00  0.00000000e+00  1.00000000e+00]]\n",
      "Estimated Pose:\n",
      "[[-2.69200071e-03 -4.37112284e-08 -9.99996364e-01  3.05998898e+00]\n",
      " [-9.99996364e-01  1.17671081e-10  2.69200071e-03 -8.23765621e-03]\n",
      " [ 0.00000000e+00 -1.00000000e+00  4.37113883e-08  0.00000000e+00]\n",
      " [ 0.00000000e+00  0.00000000e+00  0.00000000e+00  1.00000000e+00]]\n",
      "Loss: 1052.379\n"
     ]
    }
   ],
   "source": [
    "print(\"True Pose:\")\n",
    "print(true_pose)\n",
    "print(\"Estimated Pose:\")\n",
    "print(frame_poses[min_index])\n",
    "print(\"Loss:\", min_loss)"
   ]
  }
 ],
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