{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from utils import find_image_groups, create_image_dataset\n",
    "from datasets import load_dataset, concatenate_datasets\n",
    "\n",
    "data_paths = [\n",
    "    \"./2023-07-21_14-08-29\",\n",
    "    \"./2023-07-21_14-44-56\",\n",
    "    # \"./2023-07-21_14-51-07\",\n",
    "    \"./2023-07-22_16-24-27\",\n",
    "]\n",
    "datasets = []\n",
    "\n",
    "for data_path in data_paths:\n",
    "    image_groups = find_image_groups(\n",
    "        data_path, \"RS_COLOR\", [\"RS_DEPTH\", \"RS_DEPTH_16bit\", \"THERMAL\", \"THERMAL_RGB\"], threshold_ms=100\n",
    "    )\n",
    "    new_dataset = create_image_dataset(image_groups)\n",
    "    datasets.append(new_dataset)\n",
    "    print(f\"Dataset {data_path} created with {len(new_dataset)} samples\")\n",
    "\n",
    "existing_dataset = load_dataset(\"hassanjbara/BASEPROD\", split=\"train\")\n",
    "combined_dataset = concatenate_datasets([existing_dataset, *datasets])\n",
    "combined_dataset.push_to_hub(\"hassanjbara/BASEPROD\",)"
   ]
  }
 ],
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