{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# RGB-D tensor shapes\n",
        "A small synthetic example accompanying the written lesson. These arrays are not plant measurements."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "import torch\n",
        "rgb = torch.zeros(8, 3, 224, 224)\n",
        "depth = torch.zeros(8, 1, 224, 224)\n",
        "rgbd = torch.cat([rgb, depth], dim=1)\n",
        "print(rgbd.shape)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Concatenation assumes spatial correspondence. Real RGB-D inputs require alignment, depth-unit handling, and a validity mask."
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}