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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# acchiappa il dataset WLASL\n",
    "\n",
    "__data source__:\n",
    "\n",
    "https://github.com/dxli94/WLASL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__scarica e  prepara il dataset__ (comandi bash)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "colemano$ git clone https://github.com/dxli94/WLASL.git ASL_train/WLASL\n",
    "\n",
    "# installa youtube-dl\n",
    "colemano$ sudo curl -L https://yt-dl.org/downloads/latest/youtube-dl -o /usr/local/bin/youtube-dl\n",
    "colemano$ sudo chmod a+rx /usr/local/bin/youtube-dl\n",
    "\n",
    "# Download video raw, ci mette un botto tipo 1 giorno\n",
    "colemano$ cd ASL_train/WLASL/start_kit\n",
    "ASL_train/WLASL/start_kit$ python3 video_downloader.py\n",
    "\n",
    "# Estrai i samples dai video\n",
    "ASL_train/WLASL/start_kit$ python3 preprocess.py\n",
    "\n",
    "# un po di url sono stati spostati dalla pubblicazione, quindi lancia pure per richiederli agli autori,\n",
    "# altrimenti sticaz, io l'ho fatto appena rimetto a posto metto tutti i dataset in condivisione.\n",
    "# (di 20000 video circa un 1/3 son sparuti)\n",
    "ASL_train/WLASL/start_kit$ python find_missing.py\n",
    "# volendo si possono richiedere i videii mancanti in missing.txt agli autori"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__transfer learning e training__ (sempre bash)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "ASL_train/WLASL/start_kit$ mv videos ../data/WLASL2000/\n",
    "\n",
    "# per fare transfer-learning automagico scarica weights.zip e archieved.zip, unzippali e mettili in WLASL/code/I3D.\n",
    "# kinetics weights---> https://drive.google.com/uc?id=1JgTRHGBRCHyHRT_rAF0fOjnfiFefXkEd&export=download\n",
    "# archieve---> https://drive.google.com/uc?id=1jALimVOB69ifYkeT0Pe297S1z4U3jC48&export=download\n",
    "# poi,\n",
    "\n",
    "ASL_train/WLASL/start_kit$ cd ../code/I3D/\n",
    "\n",
    "# lancia il training, serve la gpu per adesso (12-01-2022)..\n",
    "ASL_train/WLASL/code/I3D/$ train_i3d.py"
   ]
  }
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