training.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <b>RUN THIS IN COLAB</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "##################################################\n",
    "##################################################\n",
    "#####               IMPORTANT                #####\n",
    "#####                                        #####\n",
    "#####           RUN THIS IN COLAB            #####\n",
    "#####                                        #####\n",
    "#####                                        #####\n",
    "##################################################\n",
    "##################################################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !nvidia-smi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Install ultralytics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install ultralytics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import YOLO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from ultralytics import YOLO"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mount Drive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# folder_path_drive = \"AntiSpoofing\"\n",
    "# from google.colab import drive\n",
    "# drive.mount('/content/gdrive', force_remount=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Copy zip file from drive to colab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !cp /content/gdrive/MyDrive/{folder_path_drive}/data.zip /content"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Unzip the file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %cd /content\n",
    "# !unzip -q data.zip -d /content/Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "########## EXAMPLE data.yaml file ##########\n",
    "'''\n",
    "path: ../Data\n",
    "train: ../train/images\n",
    "val: ../validation/images\n",
    "test: ../test/images\n",
    "\n",
    "nc: 2\n",
    "names: ['fake', 'real']\n",
    "'''"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Start Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "hyperparameters = {\n",
    "    \"epochs\": 100,\n",
    "    \"imgsz\": 640,   # dont modify this value\n",
    "    \"patience\": 25,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !yolo task=detect mode=train model=yolov8n.pt data=../content/Data/data.yaml epochs={hyperparameters[\"epochs\"]} imgsz={hyperparameters[\"imgsz\"]} patience={hyperparameters[\"patience\"]}"
   ]
  }
 ],
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