{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!git clone https://github.com/ultralytics/ultralytics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -e ./ultralytics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!unzip 'Aquarium Combined.v2-raw-1024.yolov8.zip' -d /aqua"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!yolo task=detect \\\n",
    "    mode=train \\\n",
    "    model=yolov8s.pt \\\n",
    "    data=./data.yaml \\\n",
    "    epochs=100 \\\n",
    "    imgsz=640"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!yolo task=detect \\\n",
    "    mode=val \\\n",
    "    model=/content/ultralytics/runs/detect/train/weights/best.pt \\\n",
    "    data=./data.yaml"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "um",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "name": "python",
   "version": "3.9.15 | packaged by conda-forge | (main, Nov 22 2022, 08:41:22) [MSC v.1929 64 bit (AMD64)]"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "876e189cbbe99a9a838ece62aae1013186c4bb7e0254a10cfa2f9b2381853efb"
   }
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 },
 "nbformat": 4,
 "nbformat_minor": 2
}