{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {},
   "source": [
    "# Create Table from YOLO - Oriented Bounding Boxes (OBB)\n",
    "\n",
    "This notebook demonstrates how to create a 3LC Table from a YOLO-format dataset for **oriented bounding box detection** tasks.\n",
    "\n",
    "The resulting table will contain an \"image\" column with the image filenames, with corresponding oriented bounding box annotations in the \"obbs\" column.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1",
   "metadata": {},
   "source": [
    "## Project setup\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2",
   "metadata": {},
   "outputs": [],
   "source": [
    "PROJECT_NAME = \"3LC Tutorials - YOLO OBB\"\n",
    "DATASET_NAME = \"YOLO-OBB-Dataset\"\n",
    "TABLE_NAME = \"initial-obb\"\n",
    "DATA_PATH = \"../../../data\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3",
   "metadata": {},
   "source": [
    "## Install dependencies\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4",
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install 3lc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5",
   "metadata": {},
   "source": [
    "## Imports\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tlc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7",
   "metadata": {},
   "source": [
    "## Create OBB Table\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_table = tlc.Table.from_yolo(\n",
    "    dataset_yaml_file=\"dota-8.yaml\",\n",
    "    split=\"train\",\n",
    "    project_name=PROJECT_NAME,\n",
    "    dataset_name=DATASET_NAME,\n",
    "    table_name=TABLE_NAME,\n",
    "    task=\"obb\",\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}