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  {
   "cell_type": "markdown",
   "id": "3c00934d-0f14-4c1a-a563-94d627b377e5",
   "metadata": {},
   "source": [
    "## Notebook to visualize the viewer functionality\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b15dfdc1-5054-40bc-9631-4c7426eecfd9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from notebook_imports import *\n",
    "\n",
    "import time\n",
    "import torch\n",
    "from torch.utils.data import DataLoader\n",
    "\n",
    "from pyrad.data.dataloader import TrainDataloader\n",
    "from pyrad.data.image_dataset import ImageDataset, PanopticImageDataset\n",
    "from pyrad.data.image_sampler import CacheImageSampler\n",
    "from pyrad.data.pixel_sampler import PixelSampler\n",
    "from pyrad.data.utils import DatasetInputs, get_dataset_inputs_from_dataset_config\n",
    "from pyrad.graphs.modules.ray_generator import RayGenerator\n",
    "from pyrad.graphs.modules.scene_colliders import SceneBoundsCollider, AABBBoxCollider\n",
    "from pyrad.cameras.cameras import get_camera\n",
    "from pyrad.cameras.rays import RayBundle\n",
    "from pyrad.utils.io import get_absolute_path\n",
    "from pyrad.utils.plotly import get_line_segments_from_lines\n",
    "from pyrad.cameras.cameras import get_camera_model\n",
    "from pyrad.utils.misc import get_dict_to_torch, instantiate_from_dict_config\n",
    "from pyrad.engine.trainer import Trainer\n",
    "from pyrad.utils.config import Config, setup_config\n",
    "\n",
    "from hydra import compose, initialize\n",
    "from omegaconf import open_dict\n",
    "import pprint\n",
    "from tqdm import tqdm\n",
    "import random\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "import umsgpack\n",
    "from pyrad.viewer.server.utils import get_chunks, get_intrinsics_matrix_and_camera_to_world_h\n",
    "\n",
    "from pyrad.viewer.server import viewer_utils\n",
    "from pyrad.viewer.server.visualizer import Viewer\n",
    "from pyrad.viewer.server.utils import get_camera_from_vis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26d6da3c-e28a-4c55-9592-d90dccb86051",
   "metadata": {},
   "outputs": [],
   "source": [
    "# connect to the viewer\n",
    "vis = Viewer(zmq_url=\"tcp://127.0.0.1:6000\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "605e0131-bfbe-4309-b338-c49a46923d8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# draw a red box\n",
    "viewer_utils.show_box_test(vis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b3ba0e1-ade8-4bda-bcb4-0dd2ca74dda4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# move the camera in a spiral path\n",
    "camera = get_camera_from_vis(vis)\n",
    "camera_path = get_spiral_path(camera, steps=120, radius=0.5)\n",
    "seconds = 5\n",
    "fps = len(camera_path.cameras) / seconds\n",
    "spf = 1 / fps\n",
    "for cam in camera_path.cameras:\n",
    "    viewer_utils.set_camera(vis, cam)\n",
    "    time.sleep(spf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a01cf1c-07d1-47fd-a39b-817298a83760",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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