move_images.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Move images from data.json into the images folders in the experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import json\n",
    "import os\n",
    "import shutil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
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       "     id                           name  \\\n",
       "0  3944  img generada de grupo 1 img 1   \n",
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       "2  3965  img generada de grupo 1 img 1   \n",
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       "\n",
       "                                                 dir alt  img  group  \\\n",
       "0  tedx_exp_genai/Experiments_text2img_generation...        1      1   \n",
       "1  tedx_exp_genai/Experiments_text2img_generation...        1      1   \n",
       "2  tedx_exp_genai/Experiments_text2img_generation...        1      1   \n",
       "3  tedx_exp_genai/Experiments_text2img_generation...        1      1   \n",
       "4  tedx_exp_genai/Experiments_text2img_generation...        1      1   \n",
       "\n",
       "                    experiment  promptUsed  geometric  \n",
       "0  experiment_english_captions          38       True  \n",
       "1  experiment_english_captions          20       True  \n",
       "2  experiment_english_captions          24       True  \n",
       "3  experiment_english_captions          35       True  \n",
       "4  experiment_english_captions          11      False  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#load data.json into dataframe \n",
    "data_experiment = pd.read_json('client/src/data.json')\n",
    "data_experiment.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create directory for each experiment\n",
    "experiments = data_experiment['experiment'].unique()\n",
    "#create a directory in client/public/images/generated_imgs for each experiment\n",
    "\n",
    "for experiment in experiments:\n",
    "    if not os.path.exists('client/public/images/generated_imgs/' + experiment):\n",
    "        os.makedirs('client/public/images/generated_imgs/' + experiment)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#copy images in data.json to the corresponding directory\n",
    "for index, row in data_experiment.iterrows():\n",
    "    experiment = row['experiment']\n",
    "    img_path = '../' + row['dir']\n",
    "    \n",
    "    dst_path = 'client/public/images/generated_imgs/' + experiment + '/' + img_path.split('/')[-1]\n",
    "    shutil.copy(img_path, dst_path)"
   ]
  }
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