{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "90a786c6",
   "metadata": {},
   "source": [
    "# Request CUDA execution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8501be4c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T06:45:20.471853Z",
     "iopub.status.busy": "2026-11-01T06:45:20.471726Z",
     "iopub.status.idle": "2026-11-01T06:45:21.090580Z",
     "shell.execute_reply": "2026-11-01T06:45:21.090224Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Installed runtime providers:\n",
      "['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']\n"
     ]
    }
   ],
   "source": [
    "import onnxruntime as ort\n",
    "\n",
    "print(\"Installed runtime providers:\")\n",
    "print(ort.get_available_providers())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "03cb7859",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-11-01T06:45:21.092398Z",
     "iopub.status.busy": "2026-11-01T06:45:21.092231Z",
     "iopub.status.idle": "2026-11-01T06:45:40.507771Z",
     "shell.execute_reply": "2026-11-01T06:45:40.507147Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loaded DBNet detector (GPU/CUDA, threads=8)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loaded SVTR recognizer (vocab=185 chars, GPU/CUDA, threads=8)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[occular] LM (pure Python): compact_lm.npz (268 MB), unigrams=2010937, alpha=0.5 beta=1.0 beam=100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "СУПЕРМАРКЕТ «ВОЛГА-МАРКЕТ»\n",
      "ул. Белинского, 32\n",
      "00О «Волга-Ритейл»\n",
      "ИНН 5260998741\n",
      "Смена 214\n"
     ]
    }
   ],
   "source": [
    "from occular import ocr\n",
    "\n",
    "text = ocr(\"receipt.jpg\", gpu=True)\n",
    "print(\"\\n\".join(text.splitlines()[:5]))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}