videocr_PaddleOCR.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/oliverfei/videocr-PaddleOCR/blob/master/videocr_PaddleOCR.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Install libssl"
      ],
      "metadata": {
        "id": "1qMoSUKFyxVJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget http://archive.ubuntu.com/ubuntu/pool/main/o/openssl/libssl1.1_1.1.0g-2ubuntu4_amd64.deb\n",
        "!dpkg -i libssl1.1_1.1.0g-2ubuntu4_amd64.deb"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l4FSwv4uw-7R",
        "outputId": "c0d17ea6-0b1a-496d-beea-326c2c692621"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2023-08-11 04:04:04--  http://nz2.archive.ubuntu.com/ubuntu/pool/main/o/openssl/libssl1.1_1.1.1f-1ubuntu2.19_amd64.deb\n",
            "Resolving nz2.archive.ubuntu.com (nz2.archive.ubuntu.com)... 185.125.190.39, 185.125.190.36, 91.189.91.83, ...\n",
            "Connecting to nz2.archive.ubuntu.com (nz2.archive.ubuntu.com)|185.125.190.39|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1321244 (1.3M) [application/x-debian-package]\n",
            "Saving to: ‘libssl1.1_1.1.1f-1ubuntu2.19_amd64.deb’\n",
            "\n",
            "libssl1.1_1.1.1f-1u 100%[===================>]   1.26M  1.33MB/s    in 0.9s    \n",
            "\n",
            "2023-08-11 04:04:05 (1.33 MB/s) - ‘libssl1.1_1.1.1f-1ubuntu2.19_amd64.deb’ saved [1321244/1321244]\n",
            "\n",
            "Selecting previously unselected package libssl1.1:amd64.\n",
            "(Reading database ... 120511 files and directories currently installed.)\n",
            "Preparing to unpack libssl1.1_1.1.1f-1ubuntu2.19_amd64.deb ...\n",
            "Unpacking libssl1.1:amd64 (1.1.1f-1ubuntu2.19) ...\n",
            "Setting up libssl1.1:amd64 (1.1.1f-1ubuntu2.19) ...\n",
            "debconf: unable to initialize frontend: Dialog\n",
            "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 78.)\n",
            "debconf: falling back to frontend: Readline\n",
            "debconf: unable to initialize frontend: Readline\n",
            "debconf: (This frontend requires a controlling tty.)\n",
            "debconf: falling back to frontend: Teletype\n",
            "Processing triggers for libc-bin (2.35-0ubuntu3.1) ...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gRhyO1T2kGPN"
      },
      "source": [
        "# Check environment"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1tPU0ASukMkL",
        "outputId": "93cb7100-39d1-40a9-fc9e-39cc733da3fb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Python 3.10.12\n"
          ]
        }
      ],
      "source": [
        "!python --version"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S5mCbs4RkyKJ",
        "outputId": "04ead81b-8239-4915-b9d4-2dc8f2d46e26"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "nvcc: NVIDIA (R) Cuda compiler driver\n",
            "Copyright (c) 2005-2022 NVIDIA Corporation\n",
            "Built on Wed_Sep_21_10:33:58_PDT_2022\n",
            "Cuda compilation tools, release 11.8, V11.8.89\n",
            "Build cuda_11.8.r11.8/compiler.31833905_0\n"
          ]
        }
      ],
      "source": [
        "!nvcc --version"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CnC1IUa1mpJV"
      },
      "source": [
        "**videocr** depends on Baidu's PaddlePaddle and PaddleOCR projects. Setup process for PaddlePaddle may vary depending on the environment. See https://www.paddlepaddle.org.cn/en/install/quick?docurl=/documentation/docs/en/install/pip/linux-pip_en.html"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3sLIMR4XiPHu"
      },
      "source": [
        "# Setup PaddlePaddle (CPU)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V-iTCM-EiIi8",
        "outputId": "8a0baf92-0c28-4307-e761-f6ea6e0dcda3"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://mirror.baidu.com/pypi/simple\n",
            "Collecting paddlepaddle==2.5.1\n",
            "  Downloading https://mirror.baidu.com/pypi/packages/c3/f0/0d418e741d3498d06bb3caa0b428a78c0cd805f968ae012e87e052c61b1e/paddlepaddle-2.5.1-cp310-cp310-manylinux1_x86_64.whl (124.9 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m124.9/124.9 MB\u001b[0m \u001b[31m2.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting httpx (from paddlepaddle==2.5.1)\n",
            "  Downloading https://mirror.baidu.com/pypi/packages/ec/91/e41f64f03d2a13aee7e8c819d82ee3aa7cdc484d18c0ae859742597d5aa0/httpx-0.24.1-py3-none-any.whl (75 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.4/75.4 kB\u001b[0m \u001b[31m7.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.13 in /usr/local/lib/python3.10/dist-packages (from paddlepaddle==2.5.1) (1.23.5)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from paddlepaddle==2.5.1) (9.4.0)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.10/dist-packages (from paddlepaddle==2.5.1) (4.4.2)\n",
            "Collecting astor (from paddlepaddle==2.5.1)\n",
            "  Downloading https://mirror.baidu.com/pypi/packages/c3/88/97eef84f48fa04fbd6750e62dcceafba6c63c81b7ac1420856c8dcc0a3f9/astor-0.8.1-py2.py3-none-any.whl (27 kB)\n",
            "Collecting paddle-bfloat==0.1.7 (from paddlepaddle==2.5.1)\n",
            "  Downloading https://mirror.baidu.com/pypi/packages/72/cc/4e6149a9a94f0e1449686f2e5152b734bbc7ddce18ea3b240995d39fc642/paddle_bfloat-0.1.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (383 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m383.2/383.2 kB\u001b[0m \u001b[31m821.4 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: opt-einsum==3.3.0 in /usr/local/lib/python3.10/dist-packages (from paddlepaddle==2.5.1) (3.3.0)\n",
            "Requirement already satisfied: protobuf>=3.20.2 in /usr/local/lib/python3.10/dist-packages (from paddlepaddle==2.5.1) (3.20.3)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx->paddlepaddle==2.5.1) (2023.7.22)\n",
            "Collecting httpcore<0.18.0,>=0.15.0 (from httpx->paddlepaddle==2.5.1)\n",
            "  Downloading https://mirror.baidu.com/pypi/packages/94/2c/2bde7ff8dd2064395555220cbf7cba79991172bf5315a07eb3ac7688d9f1/httpcore-0.17.3-py3-none-any.whl (74 kB)\n",
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            "\u001b[?25hRequirement already satisfied: idna in /usr/local/lib/python3.10/dist-packages (from httpx->paddlepaddle==2.5.1) (3.4)\n",
            "Requirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from httpx->paddlepaddle==2.5.1) (1.3.0)\n",
            "Collecting h11<0.15,>=0.13 (from httpcore<0.18.0,>=0.15.0->httpx->paddlepaddle==2.5.1)\n",
            "  Downloading https://mirror.baidu.com/pypi/packages/95/04/ff642e65ad6b90db43e668d70ffb6736436c7ce41fcc549f4e9472234127/h11-0.14.0-py3-none-any.whl (58 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m2.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.10/dist-packages (from httpcore<0.18.0,>=0.15.0->httpx->paddlepaddle==2.5.1) (3.7.1)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5.0,>=3.0->httpcore<0.18.0,>=0.15.0->httpx->paddlepaddle==2.5.1) (1.1.2)\n",
            "Installing collected packages: paddle-bfloat, h11, astor, httpcore, httpx, paddlepaddle\n",
            "Successfully installed astor-0.8.1 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 paddle-bfloat-0.1.7 paddlepaddle-2.5.1\n"
          ]
        }
      ],
      "source": [
        "!pip install paddlepaddle==2.5.1 -i https://mirror.baidu.com/pypi/simple"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eeCCNCoVlqkw"
      },
      "source": [
        "# Or Setup PaddlePaddle (GPU)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "xecN0X9bl0EG",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 491
        },
        "outputId": "6011f361-cb89-43bb-971f-84d1e1fb5de7"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
            "Collecting paddlepaddle-gpu==2.5.1\n",
            "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/25/5b/d960656d00d027b1c3241091639ff51f70fe796e93b1f8efc6168f705585/paddlepaddle_gpu-2.5.1-cp310-cp310-manylinux1_x86_64.whl (541.0 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m541.0/541.0 MB\u001b[0m \u001b[31m1.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: httpx in /usr/local/lib/python3.10/dist-packages (from paddlepaddle-gpu==2.5.1) (0.24.1)\n",
            "Requirement already satisfied: numpy>=1.13 in /usr/local/lib/python3.10/dist-packages (from paddlepaddle-gpu==2.5.1) (1.23.5)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from paddlepaddle-gpu==2.5.1) (9.4.0)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.10/dist-packages (from paddlepaddle-gpu==2.5.1) (4.4.2)\n",
            "Requirement already satisfied: astor in /usr/local/lib/python3.10/dist-packages (from paddlepaddle-gpu==2.5.1) (0.8.1)\n",
            "Requirement already satisfied: paddle-bfloat==0.1.7 in /usr/local/lib/python3.10/dist-packages (from paddlepaddle-gpu==2.5.1) (0.1.7)\n",
            "Requirement already satisfied: opt-einsum==3.3.0 in /usr/local/lib/python3.10/dist-packages (from paddlepaddle-gpu==2.5.1) (3.3.0)\n",
            "Requirement already satisfied: protobuf>=3.20.2 in /usr/local/lib/python3.10/dist-packages (from paddlepaddle-gpu==2.5.1) (3.20.3)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx->paddlepaddle-gpu==2.5.1) (2023.7.22)\n",
            "Requirement already satisfied: httpcore<0.18.0,>=0.15.0 in /usr/local/lib/python3.10/dist-packages (from httpx->paddlepaddle-gpu==2.5.1) (0.17.3)\n",
            "Requirement already satisfied: idna in /usr/local/lib/python3.10/dist-packages (from httpx->paddlepaddle-gpu==2.5.1) (3.4)\n",
            "Requirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from httpx->paddlepaddle-gpu==2.5.1) (1.3.0)\n",
            "Requirement already satisfied: h11<0.15,>=0.13 in /usr/local/lib/python3.10/dist-packages (from httpcore<0.18.0,>=0.15.0->httpx->paddlepaddle-gpu==2.5.1) (0.14.0)\n",
            "Requirement already satisfied: anyio<5.0,>=3.0 in /usr/local/lib/python3.10/dist-packages (from httpcore<0.18.0,>=0.15.0->httpx->paddlepaddle-gpu==2.5.1) (3.7.1)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5.0,>=3.0->httpcore<0.18.0,>=0.15.0->httpx->paddlepaddle-gpu==2.5.1) (1.1.2)\n",
            "Installing collected packages: paddlepaddle-gpu\n",
            "Successfully installed paddlepaddle-gpu-2.5.1\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "paddle"
                ]
              }
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "!pip install paddlepaddle-gpu==2.5.1 -i https://pypi.tuna.tsinghua.edu.cn/simple"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tLe-LqYFmDNJ"
      },
      "source": [
        "# Install videocr"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fsyo78PPnKJX",
        "outputId": "61cabb29-0d03-4bcd-874c-7fcff12b3acb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting git+https://github.com/oliverfei/videocr-PaddleOCR.git\n",
            "  Cloning https://github.com/oliverfei/videocr-PaddleOCR.git to /tmp/pip-req-build-_dn8o21d\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/oliverfei/videocr-PaddleOCR.git /tmp/pip-req-build-_dn8o21d\n",
            "  Resolved https://github.com/oliverfei/videocr-PaddleOCR.git to commit e8bb8aa0b615a70c88a1952a29e199b369d62ce6\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting thefuzz>=0.19 (from videocr==0.1.7)\n",
            "  Downloading thefuzz-0.19.0-py2.py3-none-any.whl (17 kB)\n",
            "Collecting python-Levenshtein>=0.12 (from videocr==0.1.7)\n",
            "  Downloading python_Levenshtein-0.21.1-py3-none-any.whl (9.4 kB)\n",
            "Collecting paddleocr>=2.6 (from videocr==0.1.7)\n",
            "  Downloading paddleocr-2.7.0.2-py3-none-any.whl (466 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m466.1/466.1 kB\u001b[0m \u001b[31m9.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: paddlepaddle>=2.3 in /usr/local/lib/python3.10/dist-packages (from videocr==0.1.7) (2.5.1)\n",
            "Requirement already satisfied: shapely in /usr/local/lib/python3.10/dist-packages (from paddleocr>=2.6->videocr==0.1.7) (2.0.1)\n",
            "Requirement already satisfied: scikit-image in /usr/local/lib/python3.10/dist-packages (from paddleocr>=2.6->videocr==0.1.7) (0.19.3)\n",
            "Requirement already satisfied: imgaug in /usr/local/lib/python3.10/dist-packages (from paddleocr>=2.6->videocr==0.1.7) (0.4.0)\n",
            "Collecting pyclipper (from paddleocr>=2.6->videocr==0.1.7)\n",
            "  Downloading pyclipper-1.3.0.post4-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (813 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m813.9/813.9 kB\u001b[0m \u001b[31m15.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting lmdb (from paddleocr>=2.6->videocr==0.1.7)\n",
            "  Downloading lmdb-1.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (299 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m299.2/299.2 kB\u001b[0m \u001b[31m19.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from paddleocr>=2.6->videocr==0.1.7) (4.65.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from paddleocr>=2.6->videocr==0.1.7) (1.23.5)\n",
            "Collecting visualdl (from paddleocr>=2.6->videocr==0.1.7)\n",
            "  Downloading visualdl-2.5.3-py3-none-any.whl (6.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.3/6.3 MB\u001b[0m \u001b[31m30.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting rapidfuzz (from paddleocr>=2.6->videocr==0.1.7)\n",
            "  Downloading rapidfuzz-3.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)\n",
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            "\u001b[?25hCollecting opencv-python<=4.6.0.66 (from paddleocr>=2.6->videocr==0.1.7)\n",
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            "  Downloading cssselect-1.2.0-py2.py3-none-any.whl (18 kB)\n",
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            "  Downloading pycryptodome-3.18.0-cp35-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB)\n",
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            "Building wheels for collected packages: videocr, fire, python-docx\n",
            "  Building wheel for videocr (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for videocr: filename=videocr-0.1.7-py3-none-any.whl size=9813 sha256=b0f6fa1de282ca11aab784f2f9ec5089b38a4284922fb2386e92d24b8242ab2a\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-n17oabwr/wheels/4d/17/73/1545bcab921cad8aef641f7934168e1778baf6ba758f717b45\n",
            "  Building wheel for fire (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for fire: filename=fire-0.5.0-py2.py3-none-any.whl size=116932 sha256=1aa2ee1ac401d5648c0c5f9b53469c35756fe2c9bb45e7286fff1a85b61429ba\n",
            "  Stored in directory: /root/.cache/pip/wheels/90/d4/f7/9404e5db0116bd4d43e5666eaa3e70ab53723e1e3ea40c9a95\n",
            "  Building wheel for python-docx (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for python-docx: filename=python_docx-0.8.11-py3-none-any.whl size=184489 sha256=0890daf70aa3e5cf256ed4a00d433cb0c93c8a8b235589368809cdd9574db8a3\n",
            "  Stored in directory: /root/.cache/pip/wheels/80/27/06/837436d4c3bd989b957a91679966f207bfd71d358d63a8194d\n",
            "Successfully built videocr fire python-docx\n",
            "Installing collected packages: thefuzz, rarfile, pyclipper, lmdb, rapidfuzz, python-docx, PyMuPDF, pycryptodome, opencv-python, opencv-contrib-python, fire, cssutils, cssselect, attrdict, premailer, pdf2docx, Levenshtein, bce-python-sdk, python-Levenshtein, Flask-Babel, visualdl, paddleocr, videocr\n",
            "  Attempting uninstall: opencv-python\n",
            "    Found existing installation: opencv-python 4.7.0.72\n",
            "    Uninstalling opencv-python-4.7.0.72:\n",
            "      Successfully uninstalled opencv-python-4.7.0.72\n",
            "  Attempting uninstall: opencv-contrib-python\n",
            "    Found existing installation: opencv-contrib-python 4.7.0.72\n",
            "    Uninstalling opencv-contrib-python-4.7.0.72:\n",
            "      Successfully uninstalled opencv-contrib-python-4.7.0.72\n",
            "Successfully installed Flask-Babel-3.1.0 Levenshtein-0.21.1 PyMuPDF-1.20.2 attrdict-2.0.1 bce-python-sdk-0.8.87 cssselect-1.2.0 cssutils-2.7.1 fire-0.5.0 lmdb-1.4.1 opencv-contrib-python-4.6.0.66 opencv-python-4.6.0.66 paddleocr-2.7.0.2 pdf2docx-0.5.6 premailer-3.10.0 pyclipper-1.3.0.post4 pycryptodome-3.18.0 python-Levenshtein-0.21.1 python-docx-0.8.11 rapidfuzz-3.2.0 rarfile-4.0 thefuzz-0.19.0 videocr-0.1.7 visualdl-2.5.3\n"
          ]
        }
      ],
      "source": [
        "!pip install git+https://github.com/oliverfei/videocr-PaddleOCR.git"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eqCKyA3fng8L"
      },
      "source": [
        "# Upload or download file to extract subtitles from or connect Google Drive\n",
        "\n",
        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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w9_xFCN4sNYX"
      },
      "source": [
        "# Run videocr"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U5FXFnHOTQi7"
      },
      "source": [
        "# IMPORTANT\n",
        "Set the `language_code` to the correct value. See https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.6/doc/doc_en/multi_languages_en.md#5-support-languages-and-abbreviations for list of languages and their abbreviations\n",
        "\n",
        "Check `use_gpu` if using GPU\n",
        "\n",
        "Adjust `crop_x`, `crop_y`, `crop_width`, and `crop_height` bounding area to fit the subtitles in your video. `crop_x` and `crop_y` correspond to the top left corner of the bounding area where `x=0` is at the left most edge of the video frame and `y=0` is at the top most edge of the video frame. See example below:![crop_example.jpg](data:image/jpeg;base64,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W8O/Erwx8JdSt/ij9u/t+TWZ5rf7VqCXz/ZmSIqA6yOAofzAFyMAdMYz4z/wVt8M28mqfCnWfLUXcOtmyL/xMjGNwPwKH6ZPrUv7MX7V/x+/aw0DVNS8N2XwfsrfSbkWsq6lDqMbsxXcCvlyOMY9SK4b9v7/hbnlfD3/hY3/CufsP/CQx/ZP+Eb+2+d5vGfM8/jbt9Oc17GFw1WGaQnUcYyutE/LovNH2WU5Xi6HFLrYqdKFS8+aEJbXhLRR101va5+gVfIf7GqKf+Cgvx6bau5ZlAOOQDKc/yH5V9eV8ifsaf8pAvj1/13X/ANGmvHy74a3+B/8ApUT43h3/AJFmZf8AXuP/AKdgep/8FC/GWreAP2PvGGq6HqN5pOp262qxXdpKYpog93CjbXXlSVZhkc816F8FdZuPEfwc8J6heSNNd32jWdxPIxyZHeFGYk+pJJry3/gplbyXX7EfjZY43kYLZuQq7iFF7ASfoACSewFenfAvT5dJ+CXg+1nUpNbaJZRSKQQVZYEBGDz1HepUY/UL9faP7uVHNWhT/wBXaM7Lm9tUV+tlClp6Xf4nzGf+UyX/AHL/AP7a19QfGjWbjw78HfFmoWcjQ3djo15cQSKcGN0gdlIPsQDXy+f+UyX/AHL/AP7a19LftCf8kE8b/wDYAvv/AEnkrTMPhof4F/6VI9jiCKljctjLZ0aBxP8AwT48aar8Qf2QPB+ra1f3WqalcJcpNdXMrTTTbLuaNSzsSWO1QMk9q8N/4KJeKNU8G/tjfB250jUtQ0u4vjHZXMlncvA08DXsW6JtpG5D3U8HvXr3/BMb/kyDwT/2/f8ApdcV4n/wU2/5O4+Cf/X3F/6WxV6WHhFZ5KCWnNU0+Uj1chowXF+LpJLlviFa2llz2VvI+5q/NT4Q/tRW/wAO/wDgoZ4o1b4heLNW/sHR7vWLCye8kub5LINcELFGihyi4QDCgAbR7V+ldfl9+z7/AMIX/wAPF/G//Cef8Iv/AGB/aOsbv7f8j7H5v2htmfO+Td1x361jkMYy9tzq65Htv8vMz8PKFCpg8y+sQcl7NaRtzWbd+VtOzfofY3/Dzv4G/wDQ8f8AlG1D/wCMUf8ADzv4G/8AQ8f+UbUP/jFH/GL/AP1QT/yk0f8AGL//AFQT/wApNY+wwn/Pup+H/wAied/ZuSf9AuL++H/ys+YP+CoH7Wnw/wD2ifh34ZsfBviD+2LrT9RknuE+w3Nv5aGIqDmWNQeewJNfFtfaX/BUD/hUf/Cu/DP/AArn/hXP27+0ZPtf/CN/YvO8ryjjzPI527vXjNfFtfa5DGnHC2pppXfxb/kj+iPD6lh6eSU44aE4QvKyqW5vid72UV6abBRRRXsn2oUUUUAFFFFABRRRQAUUUUAFfSf7Q8Fr4H/Yd+F/h83Ek15qUq6xF8mBsaOWWQZ/2Wu0UevWvm6KNppFRFZnYhVVRkknsK+kf+CkF9Do3ifwb4Us7WO30/QNI822IYkhJH8oJz2VbZcHqdx9K8bMLzxmGpdLyl/4DHT8WfqnBPLhuGM9zHTm9nRoq9/+X1VOS00+Gk3d7NLvY+bKKKK9k/KwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/TT9m7/AJQ96j/2K3iL/wBG31fmXX6afs3f8oe9R/7FbxF/6Nvq/Muvn8j/AI2J/wAb/Nn5j4e/79mv/YRP85BRRRX0B+nBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVv/DL4dX3xX8bWGg6bJaw3moSCKN7hisaknHJUE4+gNAH60/8GzXw9+A/xy+LOlaP4z0LTV8RRyXECNO8bNdyGHcm5iA6xsCVAUjLqBznn079rz/ghR4O0j/gopN4f16aDQ9A8bXnmadqt1F5VokTSuTM7bgGYBkD8j7oPG6vk/8AYt/4JO/tJ/s0fHPw/wCMtN01vstu/mTfYYb1pJ4mU427rcAkEqw+YfdFfYX7bn7WXxv+PPxv8BaT8QLC1/4R7RZJUvY2tFtbqyidE8wbAisS/lpyXPI4AoA7O0/4NgPghpl3HND8bvht5kbq6f6RH1Bz/wA/FfbPxU/4JG/Crxd+xRY6ANc+H+l6tLIqz+MjGghvkLtlA3mAcg7eG7V4Xovin9iBNItVvvDPxGa8WFfPMcsu0yY5x+/9c19afFbV/gHH/wAE8PD9xrGl+JpPhQ11GLO2hd/tyyea23J8wH7+f4umKAPzlb/g1z+CTMWPxp+G/Jz/AKyP/wCSK/Lz/gr/APsJ+E/2Mvjlo3g3whqWm6xDJPJC+q2bBra8zHA6lcM3AMpU4J5Br9q9V8V/sQtplyLTwz8TlujEwhLyzbQ+Dtz+/wCmcV+If/BTTSvE1l8dk8Q3guD4CsLuCHSFbaTCzxKzj1yTEx5PbtQB0Hh3/ggL8bPF2lR32k6dqWqWM2fKubPw/f3EMuP7rrEQfwNeqfsk/wDBvp8XtG/aS8E3HiXw9r/9kx6zbeaW8N30ap+8UB2Z4wqqrEMSeynp1r3j9nP/AIOf/GXgzwTY+D/Anh3xVqNlo8TeVDH4ZtbqVFLEklhcE9W71+t//BND9tH4ofHn4CeLPir8TltLHwnpemC8srb+z0tbxSkTTT+YFJHyqEXG4jcTzxQB8wf8Flv+CfdnZ/BzQ/AXwl+FtxfeJHszHfeILXSLidH/AHJjUt5aOu8sd575QV+Rfw8/4N//AI8eFPGNnf3nhjXpobcs21PDuoHJ2kD/AJZe9fev7Qn/AAdfeKvh5+0JrfhfSvM+yw3whtguh206wI4VkV3MwLMoYBiAcEGvr34kfttftSfDD9kO3+NN94i+HMvha4IAtYNOZr9cyGMZRkCdRn/WdMUAflf4Y/4JHfGLSfEmn3V14N8VTWtrcxSzRr4dvSzoHBYAGMAnGeM1+wXwl/a3t/Emhav8PbXwN4q8F6t4c8KS30MWpQfY2jhiCRrsTIcZ3gggfw9a+b/2Of8Agtd8e/23vix/wh/hO+8P2moCBp3n1LRY47eNR6mNnbnpwpr6m+CXwD+Klz+1PqnxG+KGr+DtWm1Lw62hBNJWVePNiddySQou3CMCc55HHp4mYOjv1PYwPtPs7HO/sgfsueD/ANo74FL4ivfjV8VF1TS4gdaitfErRx2DHJAIKkjgE8mtz4c/sxfBf4t+KI9F8OftEfFLVtVmDGO2h8W5kfAJOBs5xg12X7GHgW31HxT+0PoOmxWem29ze2EMSpGI4ot1o2TgfnWJ+x1/wTs174H/AB08P+IdS8Z+EdXtfD8M0MFrp9sI7h1cMDvYKC5G4csSeK9GnBcidt0jzZyfO0fPf7Y/hvwF+z58UvDnh+x+K3xP8VWTXc1t4qsG8RtNNYxqExkBcdC5IIOQK9r1Xw1B+wN8VtF1Dw7ffb/gd46cO8/m7rfQbp1IVhJkqY32Lz8vJ9hnw3WvBvwm8Yf8FAvjJH8WNa1HRdPhupDZyWl39naSQlFZScHIKk8V9B+APgt+z5+0/p+k/DfSfiH441yx02J3s9JGrqsSqrGUkgR/MQSSC2SOgwKUqMJLlY41pxkpI4rwL8HvCP7VNz+0F8R/iFYrrHhHQ0l0/QZZZGWERW8c7TSRNna6t8hHBHzd6/EnWfDOk/ET9s/SNB8O6fZ2WmXWrWtilvbqpXLOobO0AEgsVP8Au1/QR468cfs4eCvgvefA688W3ej6Losj6bfW8F0qXUjxyEOskhUkncCDgDPTpxX5x6n+zT8LZf8AgrD8MdJ+FqrdeF31i1vVunkV5ppFVZJNzhRn591XKmlTUEKVRyk5M/XP9sb4neGJP2TPHlnZeItBluP7Gmjhhi1CIyE7cAABs/lXxt4v+Dfg/wCGfwS/ZI8XafpOn6RrGueItEn1fU1yjTqfLkcyMTjGea87+Ad5+zd4M+H98vxg8AeMNU8TJqc5e9tTex24hLARj93cxrnO7+HPPU19kftdXPwB8GfssfDeL4heE9evvALJbp4e061luPtFmGtsoJCs6PkRnadzvz+dbU/hRnIrftJ+KPGHxy/a58L+Avh38Wn8G2d5pF1fXF1pcceoLui2EKyCReu487uPQ1laj+zd8TNHvXt7r9s77LcRnDxzaXbRup9wbzIrzH9h6b4T3P8AwUa0KT4S+Gda8M6KfDl6J4dSM5eSQBeR50shx9CK3Ph/+x78Of2gfGHx/wBe8YeHf7X1bQNbeKwn+3XNv5C/ZlfG2KRVb5jn5gaokt/HH4efGX9nbwl4f8WJ+0hrHjPTbzV7O2NvDpUcEVxHJOiHEonkBHJ6Cv0Br8+vFEaw/wDBLb4Ooowq6hpwA9B9vFfoLQB8O/tmeKb7V/2+rDwjffGrVvhH4XbwVFqPnprAsbaa6+2XCY+eRFLsoHfOEHpWZ/wrnwzn/k+i+/8ACxtv/kquu/4K6fs96Z4v+Glr48vbFLqy8MzWy66lvDEL640/zsYilZSylXk3YDKMFyc15N8SP2WvhZ+zd4l+EPxG8OeE7fWvhf4ujt7PWYL8vfSRLcCNre7zIx2n94d20gfKABzQB6B4L/Z8t/iRriaX4d/bN8Sa/qUis62mneJorqdlXliEjuSxAHU44qrr3wa0nwpq02n6r+2zrWm6hbNtmtrrxZBDNE3oytdAg/UV1dv8G/CPwi/4KNfDmPwloOm6Hb32h6q8qWcIjEhCR4z+ZrjPhB4B+Gsmq/tCeMPiF4b0bWoPC+vBzcXluJHij+zqdq59WPT3oAjHw88M/wDR9F9/4WVt/wDJVd5/wTR8Zarq3xL+LGh3HxG1L4maL4fu7OLTNWuNQ+2xzK0bs5jcOy43cHaT92vCW/ZF+Gei/sAeI/iT4u8K2M3iDxoZ9W8Nx208tv8A2c12dllCqoyKURnRiMMNvY9K+wP2Af2ZLH9mP9nXw/po060tdeu7RZtXnjGZJ5mZpAGbvs8zaPYUAe4V4/8AtkftM2v7Pfw9WC1V7/xh4lD6f4e0yBsz3d0wCKQoBO1GdSTj26kVX/ai/bV8P/s431joUdrfeJPGuuJ/xKtC09Q89yxJG5uflQbWJODwpwDXi0Onr+zlot98cvj9qlvq/jBomk8PaTE426OpUuLW3X5VeQ7kDMc425yetAHmHx6/Z0t/g3+z/wCG7e4TVPEn7RnjTUt5vtMvnh1VJJt7M7FCW8mECNCTgZ28qDgfVmt/HDRf2Kfgzpek+LvFd74y8XQ2ymK0efz9Y1iRmwfLiyZGUHIzggBeTXyd+zV+2p8Nbf4sa18Zvih4kX/hM9Yiaz0vT7SJ500Ox3YWPCgKZGVFJIBPzHn5iKr/ALU37XPgL48+LdH+IXwh0jxvc/Frwzsi0vUY9CaSzniy2+KVGYg/JJLhthIz9MAH2P8Asq/tnaR+03DqVnLpV94R8UaPIFvNB1Q+XexIc7X2MqsQdpzxwevbPs2a+O/Ffw51z9qD4W6H8WPDuia18OfjJ4RthK6X9m9supSIqvJbsnSSJmUhSy5+bBAzXt37H37SNv8AtMfB+11h4X0/XLN3stY06UBZLO6jYq4KgkhSQSM9j2ORQBh/tlftUj4OeG/+Ed8KrHr/AMS9eCw6Polu++5yxwZnQZYRooZsnH3evevFda/4J9eDLr4K2Ph298SeGNM+N2tFL648QXVzt1Q30sgkkZEWVZJG3ZVST15HXFcL480nx7/wT0+NureJrzRYfixrXjp2tdA1fcz6rbTsrbYPKwRs2huEHI9BxXksmia94t0nVvGHin4W/G3UPjbcX6arpmuwaI0djpNxE++KJIvNAMW8DOUzjoMjkA+mIfhF8Wvg5ptn4fvv2n/CenzWMIRYtUhVbkp1DMZp95znqa479kT4Q6p+1bYv8Vv2jJoZNG0WJ9I0my1uH7LaSxuQ/wBrJcqBlpNisPvFRg/KK8Z+N+g/Gb9vn4jeC7bWPhbd+FNSs1jt7nXNQ0WWOOZ8AM0rBMLETztKnHY9c+sftM6z8TPFPxs0Lwn8TvAfirxR8NfDunxPqOneCtOlks9butrGM+biEqiEp8itgGP3yADs/BX7FXjn4OXfifxJ4B+PGh6D4H1i5a6tLeVHutO022EjmNFkafYAqsFLDGdornfi78Zfif8AA2Dw3qCfHrwb43XVNftNMl07S44vOEcm8tJxK/yjYB0/iFeIal4v+NfhbS/FXgfwL4B+JWl/CTxJcuBp2oeFTeXmm2UoKywRbyw+6xwS2eAQykk19G/sBfsr/Af4peF5lg+HniC38ReEbxEvJvETSW94LgHcD5ccxVcdAMcDrmgD6++Mvxl0D4EeAL/xH4ivobHT7FATvbDzMSAqIOrMSQAACa+IfFvgC3+JXwu8dfHL4vzX1hda7aF/h7ozXjW+oaKo3SW4tycHz5XMWAEyMZwcjDvjh8QtL8E/tjXk37R19PeaToFj/a/hLTrGPOmXEQaRQ0iAgy3AbcNrAjpzjAPlfjDxX8Uf+Cnv7Vei2nhlrHw94d8FsNe0OLUIl2WEW4GCW5RVfc7iNPkO4AE9QSSAenfsv/t8+PPgV4aj8A+JvAnxS+KXjSxtotUvJbWNry4sre4RZIY5BtMmVR1BL45OO1SeMfFOuft2/th/Cn/hIfgd8Q/D/hTRpLqPVP8AhIdEmWzkVoZGUuxjCKN4UfMepFfPuoftP/FD4U/tg+OtY1Txbp+j+JJbaLSdS1XRtCTU7K9e3WOMIgdPlxt5+UfMpHFez/smft6fFP4n/ta+BvDd140uvEfhvWJ549SSXwtBp20Lbyuo3iMN95QeCOlAGx8NfE/iL9hP9rr4yf8ACP8AwM+IfiDwp4kurFNKOgaJOLOCOGOQsUYRlWUtMfunqpr3P4Q/8FEb74i/GPRfButfCXx94GuteSaS1uNdtmtY5REAX2h0UtjI6dMivm/9pv8Ab7+K3w+/at8feGrfxrdeHPD2iXccWmJB4Yt9R3qYwzAsY93BI5JOd3tXI+Av27mk+PfhPxh8TfHGueIbXw0J4LOGLwmlmytcKoblAgP3F656cd6APcv22LnxD4v/AGwfDfg/x9rmqeDvgvrFl895p8jQ2F/dDeUhu522rG29UIByCNv+8vxl/wAFjf2dfiR4T8J/DjwvrEjfEXwPoOstfeHNSlUzSNZMqRyWsp5DMsQRlJOCFOARwPtv9sD4/Xn7Ut3rnw7+H/g+H4g+HPD4WfxRcPL5cTsh3C2tpVyfPBCtkYOQRzzXyn8PP2k/G3hfXbHxRr8K+N/APwruP7Ft/D2pSJbX2iR3BFvEtwvlEu4O1N5Lf6sjIqJq5UTs9G/Zq8LfBT9gL4e/GL4W+G7ix8UaHfRTarBbAiS5hDyRXETKigKu5Vbhfu9c5zXo37R37Uvh746fDFvAfgXVZL7xZ40mh0+1gjikjljRpAZWwVBICKw49a9l/aK/bJj+AvhD4c6bonw+sdcX4lQu0emC9W0it8iMkE+WQ2TLycDpXjXgz9pb4b237S83jL4ieDR8OPFfgHRpV0rSYn85L7zN4eeNtsau+1nQLg9yDkVzVsFCrNSl0O2hip04OK6mN+0l+yv4h/ZX+I/wyf4S+GfiVqllp8cd14oTQ3uPsuqeV5QCSBQVzIVlLA5wG6c1tfEH/goB4u+FHhmTWvEXwL8eaLpMLrHJd3u6CFGY4UFmiA5NUfGviP8Abm13xfql9oN1Dpeh3d1LNp9mbHTZTa27MTHHuaAs21SBkkk4615B+0wP2p/GOh+HvB/xe12GPwv4y1y00yPGnWK/vyxZCTFEr4G0nhhnGKitgKM/eaHRxlaHupnr/wASv7a+K37Y83hlvjBefC3RYPDMWoJIJ0WGWUysuMPJGNxHOQf4eldDD+ylcXEqxx/tlXEkjEKqrdW7MxPQAfa68+/ay+Atj+0R+2r4L+Hctrp+hvr2kbzr07SSTXKQiZzDEgOwNlD1wcN16A+Q6x8G/DXwZ8bx/DPXfDdvD8QNN8VWFtp+rRySqmp2cl0qrKAWwWIXn5e/U4NY4eNL2Sahe7toisRUqKrJOT01PVP2vv2SPGvhbWtE8B6h8XPFHjqz8d6fqCy2d1D5aIsUSkNt8x92d/t0r44/4Nyfgj4X+M/xa1jQfGmgafrtjGL2T7Lex7lEiRwYOPUc1+jv7X3xI1TT/wDgod4etdH8L694sk8L+Hpbh7TTIfMaL7RhA7HjC/LjJ9RXkf8AwSA/4Jm/Er9ln9qXXPGviDR4NL8N6rLezxRNcqZrczL8qbfvHsM4x1rdUYwqvkVloc9SpJ005O71PG/DH/BK34O/teftJ/HbwrrWreGvDur2GsXei+H9NubSNnuI47y5ESqrkFkTCgCM7huB7DP5F/8ABV3/AII4eNP+CefxF1T/AES8vtBWfMTx2r7BEVDeYj9HjyeccrnDciv3v+I3/BFbx54t/bC8U/Fa28eaJ4bF9rdxq+nmK5nmktlNy86SNGYlRZELA5DHpgnAry7/AILD/szW/if4EX2r+Lvi1o/xG8ayGHTV01IoYEjj8tlZ0gRiAQQhZgOpz6Cu45T+c39kfwlp/jr9pHwjpOrWsN5p99eGOeGVdySLsY8j6gV+/wB8Nf8AggB+yr4u+H2hapefFD4baXfapYQXdxZPBaCS1kkjVmiYG7B3KTtOQDkdB0r+cfw14p1DwZ4gtdU0q6msdQs33wTxHDxNjGR+BNe7/swftTfELxR+0J4NsNQ8Wapd2d3rFrFNDIylZEaZAQeO4NAH76+I/wDg2Z/Zv8H6LZ6lq3j7wbpem6gAbS6vNMt4IboEZGx3ugGyOeCcisH/AIh7P2Sf+iwfDH/v3Zf/ACZW3/wX28R33g//AIJG/CnUtNuZrO+tdOgeGaM/NGfsDHIz9BX4I/sx/tTfEHxl+0F4R0/VPFOqX1heajHFPBKy7JFPUHAFAH736/8A8Gz/AOzb4V0DT9W1P4g+CdP0nVlDWV9dadbw294CNwMbtdBXBGDlSeDmvgf/AILm/wDBMf4J/sR/s32WrfDfxH4Q8ZahqM5SafS4oQ9gFZMZMc0n39x64+73r78/4LJ63deG/wDgi58Ib+xme3vrLws9xbyp96KRNILKw9wQDX83XjT9o3xx8QtAk0vWvEmoajp8rBnglYbWI6dAKAOV0vwvqWuQmSz0++u41baXhgaRQfTIHXkfnX78/wDBub+xH4P1X9h34oeIvHnhq01S30/QV1GNb63aP7LO0Vw7MGJGGCQx5J7MOK+VP+DeXxl8G/BvgvWm+NOm3mr+H5tUujbWtpNJHL55htAr/u5YmwArD7xHtX7zeFfEH7PfwF/YZ1HxBpfhvWdJ+GfxAgZbyx864kvL6OYGBhl5y65UkfLIMA5FAH8nf7fvhK81b9qvxN/Y+h3X9m2/2eKI2Vi3kE/Z4yxG0Y+8WH4V9E/8G8n7Ccn7Wf7aug3F5b3P9l6fdSwO/kblhIgZpHJ/2YyRjjl157V+1X7WH7PH7Pc3/BPmf4rfDLwbf6S19fx2dlcXWo3rSgi4aKTMb3Dp/A45zVf/AIJ1fsx6B/wR2/YO8QfEjXdLjTxfr0jS6ZAZma4cXBjAVtxADO+WOAdqIOeCKAPi7/g4h+B/g/Vvidb/AA6+C/wz0y71zebC/ubOATLp87MpduQfLYKuBhgctxyuK/Fj44fBXW/2f/iNfeGfEFu0GoWO0tlCquGUNxn0zg+hBHav2y/YZ+OPxauv+CkWtePfEnh+HxD4dvdfiuoltrWG6uCss7efJtUZVmD7l5BGwDjJrS/4OmP+CYkNzpsfxq8LaZb21rrM6TumySOaN/IZp1dSMAvs3gZ4KuMDNAH4E0UHrRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFrRdWm0HWLS+t223FlMk8R9GVgw/UV+4Hwn+JulfGT4d6T4m0W4jutP1a3WZGRt3lt0ZG9GVgVIPQg1+Gtdl8Jv2hfG3wLuJJPCfiXVNFWY7pYYZN1vK2MbmiYGNmxxkqSK8bOsp+vU4qLtKN7dtd/yR+d+IHA8uIKNOVCahUp3te9mna6dtVsmnZ9dNdP1i+Bn7Ken/A74vfELxba6pcX03jy9F41u8QRbHLPI6hsnfmSRjnAwMDB5J+Z/wDgqf8AHfS/EPxT8B+A9OuIbq70XVotQ1TYc/ZpGKLFGT/e2s7EdgU9a+b/ABJ/wUX+NPirS5LO68eahFDKCrNZ2ttZyjPpJDGjj6givHLfWLq21iPUFmdryOYXAmf52MgbduOc5Oeec5rz8vyGtDExxGKmny2sl5Kyvotvxe/n8/w74b4+jmLzXOK8alRRtFRva/LyJtuMdo9EtXq33/eOvxf/AGy/+Tr/AIif9h+7/wDRrV1//Dzv45f9Dx/5RtP/APjFeL+M/GOpfEHxZqOuaxcfbNU1a4e6up/LWPzZHOWbaoCjJ7AAU8jySvg67qVWmmraX7rul2Orw74DzDIMVVrYycJKcUlyuTd731vGJ+wv7FfxZ0/4x/szeE9SsbiOeaz0+HTr9FI3W91DGqSIw/hzgMAequp6EU7wp+zDa+Fv2rvE3xSXVHluPEmlxaa1h9n2iDYIQX8zed2RAnG0Y55NfkX8MvjJ4q+DOrtfeFdf1TQriTb5ptJyiThc4EifdkAycBgRzXqFz/wUu+N11ZNbt45mEbLsJTTLJHx7MIQwPuDmubE8O4hVp1MLNJTve/Z6tbP9D5vH+E+aU8VXllWIgqVZNNSunyuSly6RknZpappu3S7Pt3/gqj8a9L+Hv7MmpeHXuoTrni0x2trbbgZPKWRXllK9doVSuf7zj3rtv+Cfn/Jm3gH/ALB5/wDRslfkT4v8a6x8QNcl1PXNU1DWNRm4e5vJ2mlYdhuYk4HYdBX6Kfse/t+fCX4Wfs0eEfD+veLPsOr6XZmK6t/7LvJfKbzHONyQsp4I6E1jjslqYfL1Sppzk5puyb6NfcvzZzcV8C4nLeHaGAwUZVp+1c5OMW9XFrZXaSslr1162PbfGP7P+n+NP2t/Cfj5deSDU/BumSwyaSIQ73EU4njSQtvBRQXl/hO4rjIxXXfHXxJa+D/gr4t1S8kWO2sdHupXLNjOImwB7k4AHckV+eP7d/7adn4k/aG8OeLvhP4uvFl03RvsU13bwTW3zefI5jdJkXzFIKEgqVJA7ivFfjB+2D8Svj1oy6b4q8V32paepDG1SKK1gkIOQXSFEVyDyNwOD0rCjw9icTTpyqSskrWaaaXM3tbW929bb9jLLfDHNcesHisVVUYRjFOMk4zilJvltbXVtptp6+SPNaK9y0X/AIJufGnxDo9pqFn4M86zvoUuIJP7XsV3o6hlODMCMgg4IBqz/wAOxPjl/wBCP/5WdP8A/j9fZPMcInZ1Y/8AgS/zP258VZInZ4yl/wCDIf5n1z/wRj/5Ne17/sabj/0ks6+Xv+CT3/J5Ok/9g+8/9FGvs/8A4JlfAnxV+z38BtW0XxhpX9kalda/NexQ/aYbjdC1vbIG3ROyjLRuME546civgPVfhv8AF79gLxTpPia6s/8AhE9Tvlnt7G586yv942gSDYGlUcMOWA68V87g6lOtXxdKE1eppHXfSW3fztc/J8plh8yx+d4HDVoc2I5VTvJWl7s7tWu2lu+VOyP1W/aE/wCSCeN/+wBff+k8lea/8Exv+TIPBP8A2/f+l1xX5+eIf+Cjvxm8VaBfaXf+MvtFjqVvJa3EX9k2K+ZG6lWXKwgjIJGQQazPhj+3b8Vvg34HsfDfhvxV/Zui6dv+z2/9m2c3l73aRvmkiZjlnY8k9fSueHDeJWFnQco3covd2slJPp/eRxx8KM3WTyy/2lPndWM73layhKLXwXveS6WtfU+rP+CmnxEj+Ev7WXwc8TTK0lvorG6nVRlmiW4TeB7ld2PevtjQdds/FWg2epafcR3en6lbpc208Zyk0TqGRwfQqQR9a/Fb42ftGeMv2itSsbzxlrH9sXGmxtDbP9kgt/LVjkjESKDkjvmvrP8Aay/aC8ZfAH9m79nO68H6/eaJJf8AhQLciJUkjnC2mn7dyOGViu5sEjI3HHWpxeSTdDD4Rtc95K+tusu1/wACeIvD/ETw2WZZzxVe1SF7vkslKotbX7rbqfUv7IP7JVl+yR4W1zTbPVptY/tnUmvfMkg8nyU2hUixubJUA5bIznoK+Zv+CqPxu0vxL8ZvAPgjT5kubvQNRS91FkfKwSSNGI4iP7wUFj6B19TXzr4k/wCCi3xp8V6XJZ3XjzUIoZAVLWdrbWcoz6SQxo4+oIrxy31i6ttYj1BZna8jmFwJn+djIG3bjnOTnnnOa9DL8jrxxaxeMmpNdurtZX0Wx9Fw74c5hSzOecZxXjUqtSty3s5OPLdvljsnso+fTX946/OzwL8W/EHwb/4KU/ErUtJ8KeIvF2l3N7Naavb6PYyXU9vEzqyzBUB5Vl4BIBBYZBryH/h538cv+h4/8o2n/wDxirv7HX7cN18Hv2ltU8XeMJLjVLTxcjQ61NBCiyK5YMs6xqFX5WGCq4+V2wCQBXHgshxGGVSc+WV4NWTeuz7Lt954uT+HOZ5Rg8bLERhX9pT5VCMpXdpJ9Yx1srq2t7H6AfEr9uDwp8Lvh5ceINR0fx7DHbqv+j3HhXULM72ICoZZ4khU5IHMn0yeK9G+FnjKT4i/DLw74gktfsMmuaZbag1sW3/ZzLEshTOBnbuxnAzjoK4EftVfBT4ueEXhvvGngPUNJvlHm2esXUEKyjIIDwXG08EA4ZeCBWR8T/8AgoR8Ifg74dLQ+J9L1uaGLbbafobrdl9owEDR/u0HGPmYDHTNfOywspR9nCjLnv5vS21rLqflU8krV4RwuEwVVVuZ3vd6WVlbljazu235anlENys//BZaRV3Zh0HY2e5+xg8fmK+mv2hP+SCeN/8AsAX3/pPJX5M+Jv2xfGWo/tH6p8TtJvI9D8QagzJD5cUdylrAUEaxASqynCKATt5OTgZrZ8Q/8FHfjN4q0C+0u/8AGX2ix1K3ktbiL+ybFfMjdSrLlYQRkEjIINfQ4nh3E1o0uVpcsUndve7b2T7n63mXhlmmKxGDrwnBKjTpRkm5XvD4rWi0121P0D/4Jjf8mQeCf+37/wBLrivC/wDgqfq1voP7UPwdvrqRYbWylSeZ2OAiLdxMxP0ANfLvwx/bt+K3wb8D2Phvw34q/s3RdO3/AGe3/s2zm8ve7SN80kTMcs7Hknr6VzXxs/aM8ZftFalY3njLWP7YuNNjaG2f7JBb+WrHJGIkUHJHfNd9LJa0czeNk1yuUna7vaV7dLde56WU+HeYYfiKtmtacPZVJVXZOXNapzW0cUrq+uv3n7ag5r8k/wDgoT+y5rnwB+LV1rmqX2k3lj451XUL6wW1eQzRIJVciVWQBTiZR8rMOD04zz/gL9vr4vfDTw5baTpHja+j0+zTy4I7m2t7wxIOihpo3YKAAAM4AGBgcVzvxv8A2nvHP7R39mf8Jnrn9s/2P5v2P/Q7e38nzNm//VImc+WnXOMcYyazyrI8Vg8T7RSi4ap73a6dO9upXA/AWcZBmTqyq05UJXUrc3M0k+WycbL3mm/e2vucDRRRX1R+xBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHdfsx+HrjxP+0J4NtbVVeSPVYLpgxwPLhYTSfkiMcd66L9ubxYfFX7S2vBbxby10sQ2EG0grDsjUyRj6TNLn3Jro/8Agm7o9tqf7QNzNPEskunaPPcW7H/llIZIoiw/4BI4/wCBV4h4q8R3HjHxRqWr3nl/atUupbybYNq75HLtgdhkmvGgvaZpKX8kEvnJt/kj9UxVT6l4e0KF9cXipz025aFOMEn6yqt9dovRoz6KKK9k/KwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/TT9m7/lD3qP/YreIv8A0bfV+Zdfpp+zd/yh71H/ALFbxF/6Nvq/Muvn8j/jYn/G/wA2fmPh7/v2a/8AYRP85BRRRX0B+nBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV13wJ+IsPwo+Kmj69cQyXEOnzrIyJ95gCK5GigD+jj/gkf8A8HDnxA/bb/al8E/DNrXTbbRpJYbSUfYgkhhVQoAbzD83A5xjrXsH7XX7dUH7Fv8AwU6123XQNH8Sax48hXTNOs9RjkZXePEjbSqkKcHqxAr8gv8Ag2AGf+CoPgr/AK+1/pX6C/8ABYX4f6j4l/4K4eCdbtYfMsPDusFr1v8AnmssQVPzZcfjQB94W37QP7RV3bxyr+zB4ZKyqHU+fFyDz/z0q/J+0x+01Pp6Wcn7N2jSWcf3YGvIzEPou/Fd3+1z8PvEnjTw/wCDf+Ed+N1n8H1t7RvOWe6EP9pZCYxmRM7MH1+/XiP/AAoP4lf9Hs6R/wCDNf8A5JoA2/Ef7TX7QXhTRLvU7z9mTwrbWNhC9xcTSTxbY40UszcNngAnj0r8Kv8Agvf/AMFDfDf7aWqx2kNrpuh+KNJvrVLrSNPtZlghRIJzv8xkCkkzJwGPX2Nf0GfB/wCH/ibwN+zp8aD4i+Nlp8YhdeHZPsxguRN/ZO22u92f3j48zcvp/qu/b+VT4tP4Uj/4KF643jSNpNCF/F5o3AJnyYcb89UGSSOpAoA+5/8Ag2W/4JxeLPib+0fpfj3VNDkbwlaTgXqXQj8hrZVEhZwTk7mUIq4JOSSABmv1c/4LAfEXVtfh8L/s5/C+3jsW8SwtbTQWwSBQZGVLaFC7LGFL7yckDgDIya3/ANiH9uL4N/Djwb8KPh78L9Ftf7R8aXUEeobHQG3YssckshUfOSq4QAgBcfQ/E3/Byh+2TrX7Ef7W3hvxV4ftGn1YrALaVLo272jo0siyKwU8gqPSgD51tf8Ag08+NieI11S407Wrq684TyNJqmkZlbOSSftXc1+u3x+/Yi+I/wASP+CTOn/Cqz0Dd4x82Pz7IX9qvlKLguSJGkER+Xn79fhToX/BzV+0Fres2tp/bniKL7RIse7/AISCVtuTjONlft7+0N+1B468F/8ABG/TPiBZ+JdYj8VLJEJNRS5ZbiUG5KnL9eV4+lALc+bP+Cev/BL79or/AIJ7eNfEGvab8M4fEV1rlolr/pevabCLZVZmJG25Oc5/SvuT9lv4ya78Y/BeoXHiLR7fQdX0rVLjS7qzhuBOsbxEK3zjIPJPQkccE18x/sFaf8dv2uf2dtL8eax8cfHGg/227SW9mm6ZRF2IcyLkHnt2r6e+A/wkT9mvwNe2+seJ31d7y/m1C71O/wAQeZJKcsWyzckjrnmvmsylTf8ADPo8tjNfHsU/2UtEufE3jL9o7TrNBJdXl3YRxqSF3MbNgOTxXl/7BH7A/wAS/gt+0j4d17xB4M0vQdL0m3uI7q9t9VjuJL2R1YK7IJWx1AwoAr0T9kDWv+Ei1P8AaM1Pw3fR38kl3ZraXOm3IlDutof9W8Z5IPoa43/gnF8Pvj1qHxg03xB4zvviZb+F7aCT7VB4l164ljvXdXCGO2lIKqOD8wbtzXu4X+FG/ZfkeFU/iS9Wc1aweOLX9pn4vXHhj4TRePrObxAVa6Z4F8kqo+X94fft6V6B+zF8LPiP4g/bg8P+NvEHwtbwDo2l6Jcac5ieDynciQqx2NnJ37enYV598WfDni7R/wBvvxN4S8C/Ge48N2fiNJdavhp0KXH2CcKp8mWMSjadp6lh06c16H+wB8Z/FGlfDf4kfEbx78RNa8WeC/DM7WNlcX8QggvAmwvOmWI4ZlUYJByec8VnyxVbmRpKUvZ8rPib/gpB/wAEq/jp+0l8cvFV14f8D6iulyeKtZ1K3vo54FN5DcTqY2GZAcbUyMjPzVlf8Ej/APgmV8Rf2UP+Ckvgu48fWN3prXGn381olxMkm8xxg5G1m6cZ+tfTn/BXz9pD4rfAvwt4b+Kfwz8YeJLrwX4r083SWdjMEhtiqxyBt+xsb0kJC4zmMjknj56/4JG/8FIPEH7Rf7U+reNviVreoyaZ8MvC97qAkvbsXJk81o4fJTCJtZi+R1yUAxzkdEjBaaH6Lft167/wuX4vfD/4Ex5kh8X3aatrZjyJIbC2Ly8H7oLPCMZB+706V6X+0vr/AIHsvB+i+A/GS7NL+Ik7eGbV9u4RSvCwTBwdrZACnHDYr5l8N/Fi++CP7Pvjb9ofx01mfH3jJFg8N6dLKPNs7QsqxW8TckjLNI20AYUnAya4z9tJdZ+Kv7E37LccOpXUfiHxJrOnBL4sWmFzNEAJSepO98mtoiaOt/Zn+HHi/wCCv/BR3QfAmueZqHh/wj4f1BNA1eUgzX9nJ5TASEcbo2bZ0HTpjBrt/wBleYXVl+0pcRndHJ4glUH3W1QH+lee/wDBNrU/iJ8Wv23/ABjrHxCuLyS68A+Hx4faGd2McdwzwAyDJ4eRYXdiPvFvTFdZ/wAE9hJrX7Mnxo8SFW+y+JPFOqXNm55E0KxQqGB7jO4cehqSTmPFv/KLr4P/APYR07/0vFfoHX59+MZFi/4JbfCF2ZVVNQ09mZjgAC/GSa+/NO1W11e1Wa0uLe6hbpJDIHU/iOKAPGfFv7c/wL1C2v8AR9U+I3hFlbfa3MEt0DzyrKwx2r5I+DH7U3w2i/Zs+Mvwk8VeLtMXw7osl3ZeFb8FpmvbOUTG3aMoG3PGURjgcFhxXLfAGwj+D1r4s03xp+yb4y+IOpXniW9vrfVpfCTz/wCjuUCRqzwE7QVZhg4+fNd//wALI8GL/wA2K+K//CLHP/kvQBhf8E7/ANoOD45/Hj4M2097Fca94X8P6vpl+iKy4RAggf5uTujC5Pcg1578Uv2htB0D45ePvhn4qvH0rwf4s8awX+v30aNJLHawRIyoqoC3zSonIU9PSvqD9kP40eA7/wDaQ03w7Z/s33Xwh8RX9hczWuo32iRafK8aKDIq/ukcg5wcH0z1rlPil8d/hzr/AMXvE9nb/sn6j8SL/R7w21/q+neG4tQDy4B+d1hYhiMHDHOMUAZHx/8A2oPhZ8ff2ifhP4bs/G2h6b8N/h7NDrl5eST/AGeO4li2fZ7ZQ6gsAE+ZQMgSdQRx9h+Av2yPhb8U/EsOi+G/HXhzWNVuFYxWtvdBpH2jJwK+OP8AhZngsn/kxHxZj/sSB/8AI9XvgpZR/EL9sH4e6j4a/Zz8T/B/TdFivv7SvJ/DTWFvdb418sM6xIvBVsbj/FxQB037UniO+/YK/a6ufi9D4Vuta8DeKtLW3126jjjeSxvQfLi8skhlDgRgg8H5u+K8x8b/APBbHw74pNvNJ8KLTWrm1ysTalCjmEHGdpIYjOO3tX0x/wAFVkD/ALKjKw3Kdc04EEdf9JSsX9or4t2fwY+KPh3wZ4U+Avhv4gaprOmNf4Sa2sGjCkAjDWzhvXORQB8vxf8ABbK9tbto9F+DfhG0Zf8AVu83lYHfgIuPzrprf/grX8R/Fybf+Ei+C3hVTwWubHVriRfoY9y+33e9etf8Ld+Iv/RmOjf+D2x/+RKP+Fu/EX/ozHRv/B7Y/wDyJQB454o/4KQ+Jvhzqnh/xAnxj8O+OLe11GM6v4fstBmthLascSeXJJEpLAZK5Ye+eleq/smaN44+Mv7aWsfHDQfDsfhP4c+KtMFni+mTzdaRDGizeSjZSQGLgnggHrk5seG/itoX7SX7PHx1j1L4QeH/AADr3w/0q9s54B9nvJBMbW4OQ6wR7Cpj4xk5PbFe0/8ABO9d/wCxL8PR66Z/7UegD5Z+Mvjf47ftj/FO5m+HvhfQ1j+FPiZltL/7ZHFIJ0QgBo5pAGBV85A71o/Z/wBvD/njoX/f7T//AI7XJ/tDfs8+Mvhz+3CvgvwH8X9b8D23j2wm8T3kzXslrbpNvlTbtjcbvliUAnmtpf2Ofjcw/wCTuJP/AAc3X/x2gD0T9n+L9sFPi5on/CeR6KnhP7Qv9omN7JpBHkZxskLfkK1P2sIP2rG+NV+3wrg0tvB/lRfZzcTWauX2/PxJIG6+oryf/hjf43f9HcP/AODm6/8AjtOh/Y3+NplXP7W0jDIyP7Zuuf8AyLQBeMH7eRH/AB7aD/4Eaf8A/HaxfhX4x/aA/Yj8Xwan4+8K6AbP4m+K7WwvNQN9DJILiYOcLHC7Y+SNzkjHHvXt37SP7KvjrXvBvg+Hwv8AHLWfBt9aQSLqV5ea7dMmrNsiAdMy8AEOe/8ArBXz34J/Zl8ceIP2yvAvgvx18bNS+IWk27v4lgSO+lvIIp7QAplZHIBKyMu4cgFvWgD6L/bt+LOka34i0PwX4V8P6f41+MSSreaHZ3Fv5lrpww4knnclU2rGJCEZuW2nHGa4D4u6HdfsAfs122i6Cq6p8TPjXqI07UdWuZBtbULhdskgPGEQyNsHY8njisr482njj/gnx8VvGGueCfCd14ysfiBbPdJrNxC8s3h24XJdXmAZmh2KWCkoM4545xP2m/E+rfE/4AfsgatqVxNqGua54k06a4mkPzzzSeXk/ix/CgDzH9n79v8A8cfsq/Cux8Badqnwn1C10Ga4Xz9QGpSXLtLPJM29kwpw0hAwOgHU812g/wCCwnxFB/4+Pgp+EWqf/FVQ8BfH7X/2Mksfhv4m/ZtXxh4g1LULm4sr6SZPO1ETSs6qoFrLuKhgvDntwM4r0mw/a/1q/wDijL4LH7JPh+HxRDbC8/s6bXLSOaSE/wAaBrMb165K5xgg8g0Aan7J3/BQD4sftP8AjXXdDsYfhew0HSRqT3cVtftHL84TZ80ind34GK+d/wBqn9uLxZ+014avvBfiy8+G/hvT9L1sOzxw38dyz27MqnkyLtbJ96+zv2Tv2irrxd8XfE3hPWPgrpvwr1jSdEGqsYNQhuXvITLsCN5dvHgZBPJPTpXzr+1DqXjD9u34Ta5ovgX4B6ZYw2+uvB/wkdpqdu0kr20hDjZ5EbfNxzv496APob9pP9krUvAvjq4+L3wj/wBA8daXD++0Qusel68nO8Sp8oD7GYg715Re/NfF/wC1H4xuP29NH/4WRpPhe18L6b4LFjZ69d7tr6pqE1zCrQD5iHWJssGxnDcnpX6B/wDBQ34nXXwp/ZH8Zahp8zw6rdQRWFh5T4maaeWOIbAOSQGLcc4U18NftF/s62v7N+v/ALPvg3w7fapDq3xEudOTxVpkM5FtdzxS2mJ5Icn5jLJJyf7p6c0AfRP7bHwp+CPjS0+HulfFHx/r/gzVdBswulpplwI5HLrGGJJgl7oMEFe/Wvmj9p/9grwn8O/2u/D/AIDk8ceKho+o+H/7UOo67dx3txbTCaUBUwka7SIhweck89BVH/gr/wCK08Tf8FE/DvhoSKzW8FigTdn5n+c8dsAr/wB9CvpD9vPxx8OfDP7ZGl2vjn4e3/j6afwnBLaw2do9xLAouroE4XnGcc0pfDZGsJanE/ALU/if8Xf2mrrw1oPxY1TVvBvgxoJPEOoPZ29vhG3FYouDuLLG3OMDGa1f2iv2htH/AGrP2ptJ8KQ6rYWvgT4W6hFrDav5oWS/1GNdohUNjKLvYEgYJU4PTPpf7Ffxg+D+v6D8Uf8AhC/h7deDF8P2MMviO0ntzDJdx+XcsisCc5CrLwcffr4//ah8W/Cn4x/Ai4t/hX8EvEOk61fTxyWmr2ulyvEyJLiQB0yCSAR+dctSnajytmtPWtzJH1x+1V8EJvjN8Om/sl2tfFOjyJfaLdowRoZ0IIGfRhuU/Wovhj4a8N/8FD9L+HXinVrptP8AiH8Gdat21y1hTy9t3FJG0sUgZSSjNBuXaSAdwz1r0tLiOy0WGSZ1jjjgVnZjgKAOc15D/wAE85bXTviN8bvixqEkOheEdc1KK00+eX9zb3yQPKDdZOA28suGx/Ewz1ryMjrSu4HpZxTjpM4fxQnxE8ff8FIPih4o+G+tado8Gk2dp4clvL2DzFlHlQSSIiEY3LLGwyfT3rF8K/HL4lfCj/gq98NPAni7xteeJNJ8RaZJe5eBLeOZnS7g27Ixj5ZFjIJ7t7V6RcWVz+zJ+3Jr1nPth8C/FLGo6VeSOFhTUAsZliBPykuxdhyOoGDjNeD/APBTXTdY8NftkfBXxn4Thk1TxNpLy2Z0+yHmXrxZeZWCrlyodQOFP3jXbKvV+tcv2TNUaX1a63PGP+CjfwQ+IXxX/wCCsVt4T0G+vToviLWhLdW7TBy0cnkKmwNkKgYSlsDgDqOK85/4L+/DX4S/sFfDaHQ/Dt14g1DxS0MUGoRXF4yw+a8RMBBiCOC+GdgHwAMcZFfrP+1z8Tvh7+yV4U1P46eJLGzXxVJoSWemRXkaLNFIiySkIxGVP73526hU/Cv5W/8AgqV+074//bi+Pl9401DSfEVzoF9L5lletazNb3nyhQ6ORtKhVVVA6Ko9a9U8c9+/4IQ/8E3fhR+3XomsW/xM1CPw/FbXVy9vqDPuLqkdttj271HJdznrxX6beC/+Dbv9lnwn4u03VdJ+KUEep2FzHPauERiJFYFeDLzyBX85nw//AGi/G3wc0qbS/Duv6notpJMZ5IYJWjBkKqpJHrhVH4V9+f8ABB3UPib+2d+2Zo+m6p4g13WNI03ULH7TCztJGVefMjNk9FiSRj9KAP6Af2+f2A/h/wDtHfs4eCfhn438cHw/pPh+FYY5niXfqKxw+SeNw28NngnrXxb4W/4Nwv2WfBniSx1bTfir9mvtPmWeCTaG2ODwcGXFeJf8HaP7X+r+BPH2l+G/DOvXWm32gzWtujWtwVeISwPLKMDgDAhBx/fFfkp+zP8AtY/Erxr+0H4S0rUPGuvXVhfajHFNA9yWjlU9QQaAP6p/2v8A9gr4f/tEfsefD34deIvHv9l+GtAsUsrfUPKU/wBrQm18g/xALlMtwTX58fGf/g3T/ZZ+Hfwu17W9J8eQ6xqOl2Ut1BZnCi4dFJCZEpIycCvTv+CxWv3vhj/gi/8ACXVbC5mttQsPCJuIJkbDJImksysD6ggGv512/bd+LTDB+IHiQg9jdGgDsf2RPg7/AMJ1/wAFA9I8N6fZNJa2utXJWEEnCQ+YVGT7qo981+//APwXN8Tx/Ar9kX4F/CizkWS9gtYdPuIsnLMUtrRXyMA8yyv/AMBr8D/+Caf7a8P7IX7WumeO9Y0+01aTzy8tzdkssDFg5Zlx8wZhggYPOc8YP9KUHhX4Vf8ABcrwb4F8faHqWjab4q8IyW11e2pCXjTQFlbCnKnb8r7HAwCxBoA5f9pK9k/Z/wD+CRfwVsP3a6nc65b6ikUw3qwY3d3lgP4QzxjrnDVk/Ev/AIL13F15bH4U6TqLRxgq9ws9y0ZJ5A2xnjp0NeH/APByb+1Gug/GH4a/DHR38i10PWtNsxFDLhIvOVZGG1RjiNFH0l/P68/ab/aO+F//AAT3/Yx8AeNvEHwf8E+J7e+0i1e9nms7e3kjJhBZy32aVnJI5479aAPlP4k/8HHHxmttPktvDHwitoVRWWJrfSZTt6Yx5lwoH/fP4V03if8A4KoaJ+0V/wAE2NW0347LqGn+MPMbUY41sli8jYHZWkI/dhEzg4O4qwwDzjlPC3/Byd+zT4y8SWOk2HwD+H0l9qU6W1vGzRL5kjkKqgnTsckgV1//AAcC2XhbxF/wSm8M+MvD3gzw74OuPFUBu5I9NtIopI0ksZm8ppERN6g46gdOgoA/mx+Len6HpnxD1SLw3qA1TRPOLWtwI3j3KecYdVbjpyOcVzdGaKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK0vC3g/VvHOrpp+iaXqWsX8gLLbWNs9xMwHUhEBPH0obSV2TUqRhFzm7Jbt7GbRXWeKfgP458DaW19rfgzxZo9kn3ri+0i4t4l+rOgFcnUxqRmrxdzOjiKVaPPSkpLummvwCiiiqNgooooAKKKKACiiigAooooA/TT/gjH/ya9r3/Y03H/pJZ1+Zdfpp/wAEY/8Ak17Xv+xpuP8A0ks6/Muvn8p/37Fesf1PzHgv/koc4/x0/wAphRRRX0B+nBX15/wUct5LP9mb9myGaN4povDDo6OpVkYWunAgg9CPSvkOvr3/AILO3sx/aR8OWnmyfZYPDMMkcO4+XGzXV0GYL0BIRASOoVfQV5eK1xlBf4n+Fv1Pj86vLPsuguntpfdBRt/5Pf5HyFRRRXqH2AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB9Ef8Ezv+S76t/2AZv/AEotq+d6+k/+Cekln4StviJ4xuI55pPDWkKfKjYDzImEs0g5/iP2ZAD7mvmyvHweuYYh+UF87N/k0fqPFEfZ8FZHCTV5Sxc7f3XOnBN+sqcvuCiiivYPy4KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP00/Zu/5Q96j/ANit4i/9G31fmXX6afs3f8oe9R/7FbxF/wCjb6vzLr5/I/42J/xv82fmPh7/AL9mv/YRP85BRRRX0B+nBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfo1/wbE30Om/8FLvCc88scMUdyhZnbaB8y1++v/BUHUPh38FbWSJ9Ds9W8efE7ULcpcysJHsEgkQCQZOU/wBYwG0cknOQMD+RT4UfFfWfgx41s9e0KcQX9mxZd2SkgIIKsoIyDn88GvqPwz/wU61T4oftRfDvxP48vBp2jeEt0srZuLgSSeRsXIG5yoKgKADjJOT1oA/pZ/4KR+Pf2fvh/wCFPAd18c9D17VIZLSQadLp9y8KwHbHvD4niHPyY69D0r5c0P46/sC+JY5G0/wN8QLxYiA5hv5X2k9M4vq/N7/gtX/wWr8H/wDBSr9nXSfD9hLpttqXh+RBbw2lrer9oUtHuLNNGFGAnTPevmH/AII+/wDBQ63/AOCen7Qsfim/W1ks7XNykdxbyTRyzbDFtcR/NtMcknTvigD+lb9krxH8FfEn7MXxyk+DfhrxL4eto9CkXU/7Xkd/tB+y3XlbN00v3f3mcY+8Ovb+Uf8AblX/AIys8Y/9fUf/AKIir9n/ANpj/g7U0rxv8DvEXh3w7pnhuCfXNPuLKUWdhfeaVljKHaZBGikgkZOcV+E3xP8AiJdfFbx/qviG+jhhu9WuGnkSLOxOgAGSTgAAcmgD9DP+Da/4j674v/4KT/DnTNS1S6vNP0eeJLSCR8rCDMh49evfPHFfpV/wXp/4Jb+M/wDgqL+1Kmh+DriO3m8K2VvfXLugYEStPGo5Ydwfyr8VP+CP37ZGhfsL/tYaf8QNdnhhi0dRNAk0E0sc8qyIwRvKVmAODyPSvuz9r7/g5qv734jP46+F97Yw69qcEWn3tnbwXMUYhjMjK5eeEZwZCMDnmgDnNC/4NKPjpo+t210NQtJPs8iybfKUbsHOPv1+yXx4/Yt8eeP/APgkrp/wts9Oh/4SxZIzNbtMoCAXBckHofl5r8VPhh/wc2ftEfEPxE1ibqKBViMhdZUJ4IHeP3r3T9n7/gtT+0J8cvjP4a8Ix6/JBL4gv47MOgiZk3dSAUA4Ge9TJpL3io3b0P0n/Zd8IfGz9m39n7wh4Et/hFb38fhfTIdPN1/b6R/aWRQGk27Dt3HJxk4zWlbfE7Vv2kPG3jT4N+NvBCeGdTt9D+2ORqAuwPM2CMjCKMgSBs57Yreg+BXxSaJWb45eIlZgCR/Y9rwfzqf4M/sv3/w3+NGteOtb8aal4u1zXNPTTpnubOODCIUKn5DjICAdK+axEsIk5Uvi+Z7+Hjim1Gp8J5j+xl+1tq3g34F2vhH4c/CWZ/GELyQarqjQx2WlyXEbldzSjJkcIBwQOcj69z8G/i18cYf20fBOg/EXxPotxp+uWl5djS9It0SC32x5Cu/lq7EZXqWHHvXugkxXz/8AtFaT8SvDH7Sfgvx18P8AwfZ+LH0Gzu4JorjUIbVEMoVRnfIrHgE8Z6Vths1lOqo1LRiZYnLo06blTu5HAQ/B7x58eP2svi54X8IW8Ph+3vNbJ1rxRJHjbabVElrE2w5kfcDjI+4eR1HZfHG70b4q6/o/7N/w2h+yfDvQ1V/Ft1bDMaqjmUW6yckyNIqsxBBycdNwrnvDGq/tNeP77xD4T1DSdP8AAPh3xJqEmqXWpW88VzPZJKcSQQusrAliS3TI29Rmvevgd8CdB/Z78DRaD4fhlW3EhnmlmffNcSNjc7tgZJwPyrfFY6nTVqerZjh8LOq71E9Dwj9l/wAUeGfifdfEz9lPx5cJfWuku1p4XNwNrxQOrsibshi8fyEE5zhh0HPm3/BOf9hvRf8AgnT+3d4+8FePIbGTRfiVpKadokjoTp9+DJG7xBnI+dsqNoBwQQOCM/nh/wAFF/2jNa+D3/BVvx54h0S58u40XXk4x1MLKy++QRkEd/UV+q3/AASX+PfiD/gpJ8Uk+LXijyLjTvB2knSrEJB5ateOwEkjKSf3gVOdvy5IIxxXdh5e0po48QrVWX/j3/wTRb4WeCvGuuXniKfXPBPhHQbufwrpFxM7vptxKCHLE/eVRyuSeW7Yyed/ak1DUtI/YX/ZNvNFg+1azZ6npU1hDj/WzrCpjXoeSwA6Hr3r7q/am8Cap8Rv2dvGWg6LbG+1TVtKltrWDzFj82RhwNzkKPqSBXwl4t+D/wC1Xrnwz+Fnh21+FOnaT/wqi6truwv4tfsZZLloE2L5ifaPunHIXk5xXdE5T1fxDrOu/sAfsSyX2sJHqHxf+JWrSQzy2mHea/uWmaPqB8scYAwBjdkDrmvbvhh8AI/2dP2N/wDhDLXypJNN0uZZWQkq8zgvIQTzjcTj2xxXDfsn/s7eLviN8UW+NHxgs/7N8ZT2zWOn+HoipsdFiUqglVSznzXCbsluN574C/T91Zrd20kMnzRyqVYeoIxUgfAviv4W618av+CQngXS/D+n3Gq3nlwiSCBS0hX7WQxAHPHJPoBWpJ8D779jnx98EdI8H+JvFVjJ4lv4oNZ0mXUmubF4VRXn2RuCFyxxkYI3HBFdxpH7Mfx0/Zxe60X4T+KvBl94RuJ5ri3tPEttL52mq7EiONocbgM4y3cfWus+BP7I/iiD41xfE74neKP7e8XWtk9jaWNjGsel2KvtDPGCN5Yhepxyx68YAPoig9KKD0oA+Z/iZ/ykw+GP/YA1X/0XFUf/AAT2GPiN8cv+xsT/ANJkqn+154M+LWjftL+D/Hnwz8DWnjNtF0+7s54brVLayjTzlQZ/eSox+6emelan/BOz4afEPwWvxE1j4jeGIfCureLNbj1CG0iv4LxCghVCQ0Uj45HRiDQB9KUUUUAfNf8AwVX/AOTWP+45pv8A6UpVH9pb4H/FbWP2gvCPjz4aw+GLiTSNFexmTVrpovmc5BACtniup/4KN/CjxZ8ZP2bbjSPBWjrrmvJqNndxWjXUVssixzK7fPKyqOAe9eAX/wCzR8bP20fjTos/xY8O698LvDOj6e9sJfDPim0Zpn6gsoeX0x9zvQB6f9t/a6/6Bfws/wDA6T/43R9s/a5/6Bfws/8AA6T/AON1nf8ADnHwZ/0Uz42f+FDB/wDI1H/DnHwZ/wBFM+Nn/hQwf/I1AGX8Of2ePHnwa+AP7S2vePl0FNU8e6ffaqF0q4aaNW+y3O8HKrjlxjrXsP8AwTqbP7Fvw8H/AFC8/wDkV6+VtH+Af7Rn7Pth8VvAvhPwLceN/B3i77Rp2natrfie1a8S0aOWJZMGZcMVkyQUXlRwK+xP2Lvh3rHwn/Zh8GeHfEFn/Z+s6TYeTd2/mpL5T72ONyFlPUcgmgDif25/+CfHhf8AbE8PXl9JEtn44t7JbTSdVlupxFaBZN+GiVthBy4yVJG7PavlP4H/ALIHwk1bw3r3wV8e+E4/CfxW0q3aa31+S9laDVpArqt1bsWGYxjcY9oBHuDj9MJOteY/tO/sg+Df2ufDmn6f4utbpv7MuPtFtPaSiKaIkrvUMQflcKFIx09CAQAfmD8GLH9nH4favqngn4keA9Y8beItDuJFbxD4W1C5uLO+izkOUE8e3apCkqpGQa0Pj5qH7IGr/B/WLf4Z6D4gs/H0nkppX2g6gQsnnR78iSRo/wDV7+oP519ufGf9kvxX8MPGXgDxF8DdJ8I283g2zvLB9P1ZpFglhmVOfkZWZsqTkt1OeayLn4t/tc22oxrL8Fvh7qE3Rb2DWoo44Rz1V7neevb3oA479sn4V6V8VvE37JfhXxPYyXOl6istpe2pleFmH2ayDKSpDKfoQa+gPgd/wTx+Ev7OPj6LxN4P8My6VrUMMlus51K6nGxxhhtkkZefXGa4n4S/s+fE74vfHbQfiJ8ZE0TSJ/Bscg8PaNoc2+KB5gFmedmLljtWPG1gMr27/UVAHm/7YH/JsHjr/sETfyr4r+IX/Jvv7D//AGM+j/8AoUVfcn7SnhbUPHPwH8WaNpVubrUtS02WG3hDKvmORwMsQB+JAr4T0P4L/tB+Nz8AfCuufCWPRdB+FHiHTbqbVU1u0maWCKWMPI0YkyMIpbC5PGBmgD6r/wCChH7Pl98b/gtHfeHZvsPjLwbdDWtEvUJEkUsYOUHUHeOMEEZAPavir40f8FLPBvxF+OXwu+InhXRfFFx4y8HwiLWH+yosElq8cizwgbyW5lYglQBu656fqdXyj+1X8B/iZon7T/gv4kfCTw74b1KTw7otxplxYXk62kMnmM+AAGToJGbOeoFAHNfsp/tDeHP2ov21viB4p8JyXk+kxeCIrSV7i3aFo5vtTttIPt/I16F/wTD/AOSDeIP+xx1f/wBH1w1z8Wf2uvF9rc6QvwV8E6C2pRtbyarLrsEsVruG0ylEuC7YHIABPA4Ne7fscfs+zfsyfADSPCt1ff2lqUck15qF0D8stzNIZJNvA+UE4GeeKAPJ/j5eXn7Qv7eHgX4dwkzeEPBtufE/iKNlxHJOBIttGWHOQ20lTgYYHnFeX/DKCT9rX/gp/wCLvF140cnhf4IObG2LnapkR5gpUAYOJI5GyT0RfpXSfHf4JfF79k/UvGXiT4QhfGGm+Nsz6vbakEe/sJz8iSQMuwtGoI+UhjjP+8POpf2Vfjp+y18EP+EP8F2tv4k0n4q2McPiSWZVFz4Zu541S4dWV13R4kcBiGx5ef8AeAPlTxff6z+2l/wWette0my+06L/AGjHDBL5gOYIntot2BkhRHCzE/7VfW/7Yf7UPh/4Lf8ABUCHVNcTUpbWw8Fx6XiztxM4kNxPNyNwO3a/UZPtXx38O/8Agunq3/BPnRtQ+EVn4f0PUH8F6je2Md3e207yAtOzvnZKFILHIxivq/w7+yr408OReGfit4fvrHxN8UJtVj1+5fU38u0eKWAp5AAKttAf+8PrwK4sRiKajyzdjqw1OfNzRVy9+wj8QdN+LGu/taeJNHaeTS9X0u2nt3lj8tiv2S/HI7ciu8/4Jv8A/Jlvgr/cu/8A0snqp4r+KP7TnxY8P3/hW98H/Dvwvp2uRS2OparbTtLIsMq7JHjXzmw+0tgsrc4r1P4J/Cyz+CXwq0XwrYTTXVro8JiWaUAPKWZnZiBwMsxPFeRmWKjKnCEHex62XYeSnKcla55P8dfGutftG/Edvgv4BkMN9fwiTXdZYZt9JtvvMhYAnzGCgADH3xz6Yv7UOnt8UV8P/s4/Cy9ksdH8C26jxXcMMpiPYYYt/LFzIrs3Tkj3xvftQfs9+Lr/AOIFh8QPhjqp0nxlDbHSblXKLbz2sm9WkbI+Z03lhn+6OCQBXd/s3/AHTv2ffA32G3eW71XUGF1q1/M26W+uSMu5PoWLYHv3OSSjjKVDD2p/EFTB1Kta8/hPmhF+KX7dvw00P4LWNlp9l4s+El+txrHiHUbnyVjaNpI7fyiis5/duMnb823OO9ekfEbxh8Iv+CXMMnjDxxqtx4/+MLW7TLeyzZkhV8phVLbYIgN3zYzyQOuK3PjZ+yBfeP8A40t4x8M+KdS8IahrFgdK1q4swC89uAm3aOzfIoLZzwOmK5n4x/sJeEfCf7HnxC8MaFZSXF5rumyibULx1mvJnwp5kIwAdo4AArq/tWnyKT3Mf7OqJtLYxvg/8Z9B/wCC5v7EXxC8N6xZ2sniLT4p5dNGwxRqJVkWA8EHGUMb5B4IPOa8m8I/sD+D/wBmD/glTqk3i7wc1r4n0fUJNM0pppplnt1UiGIkhhuXIYjOQRzzX5R/sWftpeIv2E/jfH4j0WTatneK8sb7mjcRudwZVI3BlJBHUjoQea9i/wCCtv8Awcl3n7ZXwMg8H6DBottItws06WtpdR+XL5UiFi0pHK72wF4y2STgV7EZXVzx5Jp2PzB8H/CLXP2pfjne6X4Ys83GpXk0itICsNum5mG8qDjgY6HJIHev6VP+CTf7C3hz/gjF+xJq/wATvG0Nna+ItQ0WG6t1Vm+0SS+UWO5HI2ySMUG3oij3Nfhr/wAEdP8Agp9cf8E/fjZolzcWOizaXb30t59ou7dn8p3gMR3bedvTkcqeRXrH/BZj/gvF4o/bw1y50HR7mzh8Pw+faqLaJ1jiRyAfLLH5mKjBcjnnaAOaok+af+Crf7Y2o/tlftb+JPEFxqEl5ZfaTszt2GbaokZcfw5AVf8AZQV5n+xv/wAnSeBv+wrF/WvMz1ruv2afGGm/D/48+Fdb1a4+yabpmoRz3M3ltJ5aDqdqgsfoATQB/Rv/AMFpef8AgiN8Lf8AsTJP/TO9fzHV+xH7c/8AwXO+H/7VH7Cdj8J4b7TYH8K+Hp9N06WGwv8Azr+T7E1vGG3xBEycc5AGfSvx3oA9g/ZB/Yt8YftlfEqz0DwzZySLNMIpJxG0gDYzsUKDucjoo+vQE1/T/wDsifAfwL/wQj/Ylj1rxMu/xXqWmpBFBFKWbdHHvEILEAfMxaRx09CAK/Ar/gid/wAFTrz/AIJ6fHDT57gaWdJjkuJ0e+D+UrSQGNkYryFYdCOQ2O2ap/8ABV3/AILF+Mv+ChHxI1RWvEh8PtPKkYt1eNJIi3CRq5JSPgdfmYYyeMUAft9/wUI/Z++F3/BR79k/Q/2htGh0/TfEdhfQ3l+l9emHzri2RkVU2kgyjauzH+sRuR0Fet/8FA/+Cenib/gor+wB8P8AwZ4dm023Emk2v2iS6umg2IbcD5SFb1r+ZL4D/t9+JvAfhnwr4Lvry3t/DGm6rFNd3brJLP8AZvMZmTAJyoDt0UtjAHof0n/a2/4OStN+Jn7NGm+HvB+s2ul654Ss44tPNomqW5v2RAgEhCxrg+7AUAdl4E/4NBviF4D8baPrlvrHh2W40a9hvoUfVnKl4nVwD+59VFfUf/Bwl8PdQ+E3/BH3wP4Z1U251LQ7X7Fc+Q++PelhMp2nAyOOuK/GHwh/wXc+M2r+MtHt9c8RNp+iSXsKX9xBfaiXhgLgSOAJ2JKrkgBTyOh6V9Pf8FEP+C6/gv8AbL/YesfhjJq1nNe+H7Mx2t4trqBuNQkFtJEPMMsW0FtwJJPWgD8eaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA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)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2OfN4M6Fsb7u",
        "outputId": "aa588d7f-5b41-4141-e345-4eaca6f7cabb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[2023/08/11 04:32:21] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=False, use_xpu=False, use_npu=False, ir_optim=True, use_tensorrt=False, min_subgraph_size=15, precision='fp32', gpu_mem=500, gpu_id=0, image_dir=None, page_num=0, det_algorithm='DB', det_model_dir='/root/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_infer', det_limit_side_len=960, det_limit_type='max', det_box_type='quad', det_db_thresh=0.3, det_db_box_thresh=0.6, det_db_unclip_ratio=1.5, max_batch_size=10, use_dilation=False, det_db_score_mode='fast', det_east_score_thresh=0.8, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_sast_score_thresh=0.5, det_sast_nms_thresh=0.2, det_pse_thresh=0, det_pse_box_thresh=0.85, det_pse_min_area=16, det_pse_scale=1, scales=[8, 16, 32], alpha=1.0, beta=1.0, fourier_degree=5, rec_algorithm='SVTR_LCNet', rec_model_dir='/root/.paddleocr/whl/rec/ch/ch_PP-OCRv4_rec_infer', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='/usr/local/lib/python3.10/dist-packages/paddleocr/ppocr/utils/ppocr_keys_v1.txt', use_space_char=True, vis_font_path='./doc/fonts/simfang.ttf', drop_score=0.5, e2e_algorithm='PGNet', e2e_model_dir=None, e2e_limit_side_len=768, e2e_limit_type='max', e2e_pgnet_score_thresh=0.5, e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_pgnet_valid_set='totaltext', e2e_pgnet_mode='fast', use_angle_cls=False, cls_model_dir='/root/.paddleocr/whl/cls/ch_ppocr_mobile_v2.0_cls_infer', cls_image_shape='3, 48, 192', label_list=['0', '180'], cls_batch_num=6, cls_thresh=0.9, enable_mkldnn=False, cpu_threads=10, use_pdserving=False, warmup=False, sr_model_dir=None, sr_image_shape='3, 32, 128', sr_batch_num=1, draw_img_save_dir='./inference_results', save_crop_res=False, crop_res_save_dir='./output', use_mp=False, total_process_num=1, process_id=0, benchmark=False, save_log_path='./log_output/', show_log=True, use_onnx=False, return_word_box=False, output='./output', table_max_len=488, table_algorithm='TableAttn', table_model_dir=None, merge_no_span_structure=True, table_char_dict_path=None, layout_model_dir=None, layout_dict_path=None, layout_score_threshold=0.5, layout_nms_threshold=0.5, kie_algorithm='LayoutXLM', ser_model_dir=None, re_model_dir=None, use_visual_backbone=True, ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ocr_order_method=None, mode='structure', image_orientation=False, layout=True, table=True, ocr=True, recovery=False, use_pdf2docx_api=False, lang='ch', det=True, rec=True, type='ocr', ocr_version='PP-OCRv4', structure_version='PP-StructureV2')\n",
            "[2023/08/11 04:32:22] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:23] ppocr DEBUG: dt_boxes num : 1, elapse : 0.1725602149963379\n",
            "[2023/08/11 04:32:23] ppocr DEBUG: rec_res num  : 1, elapse : 0.2155773639678955\n",
            "[2023/08/11 04:32:23] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:23] ppocr DEBUG: dt_boxes num : 0, elapse : 0.1485576629638672\n",
            "[2023/08/11 04:32:23] ppocr DEBUG: rec_res num  : 0, elapse : 2.1457672119140625e-06\n",
            "[2023/08/11 04:32:23] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:23] ppocr DEBUG: dt_boxes num : 1, elapse : 0.14170217514038086\n",
            "[2023/08/11 04:32:23] ppocr DEBUG: rec_res num  : 1, elapse : 0.1927018165588379\n",
            "[2023/08/11 04:32:23] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:24] ppocr DEBUG: dt_boxes num : 0, elapse : 0.1567685604095459\n",
            "[2023/08/11 04:32:24] ppocr DEBUG: rec_res num  : 0, elapse : 2.86102294921875e-06\n",
            "[2023/08/11 04:32:24] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:24] ppocr DEBUG: dt_boxes num : 1, elapse : 0.14629340171813965\n",
            "[2023/08/11 04:32:24] ppocr DEBUG: rec_res num  : 1, elapse : 0.1593937873840332\n",
            "[2023/08/11 04:32:24] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:24] ppocr DEBUG: dt_boxes num : 1, elapse : 0.15041375160217285\n",
            "[2023/08/11 04:32:24] ppocr DEBUG: rec_res num  : 1, elapse : 0.15469670295715332\n",
            "[2023/08/11 04:32:24] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:24] ppocr DEBUG: dt_boxes num : 1, elapse : 0.14612364768981934\n",
            "[2023/08/11 04:32:25] ppocr DEBUG: rec_res num  : 1, elapse : 0.16022515296936035\n",
            "[2023/08/11 04:32:25] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:25] ppocr DEBUG: dt_boxes num : 1, elapse : 0.136138916015625\n",
            "[2023/08/11 04:32:25] ppocr DEBUG: rec_res num  : 1, elapse : 0.1528618335723877\n",
            "[2023/08/11 04:32:25] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:25] ppocr DEBUG: dt_boxes num : 1, elapse : 0.1492931842803955\n",
            "[2023/08/11 04:32:25] ppocr DEBUG: rec_res num  : 1, elapse : 0.17090320587158203\n",
            "[2023/08/11 04:32:25] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:25] ppocr DEBUG: dt_boxes num : 1, elapse : 0.14271044731140137\n",
            "[2023/08/11 04:32:26] ppocr DEBUG: rec_res num  : 1, elapse : 0.15749502182006836\n",
            "[2023/08/11 04:32:26] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:26] ppocr DEBUG: dt_boxes num : 1, elapse : 0.1603691577911377\n",
            "[2023/08/11 04:32:26] ppocr DEBUG: rec_res num  : 1, elapse : 0.15498614311218262\n",
            "[2023/08/11 04:32:26] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:26] ppocr DEBUG: dt_boxes num : 1, elapse : 0.1711564064025879\n",
            "[2023/08/11 04:32:26] ppocr DEBUG: rec_res num  : 1, elapse : 0.1767261028289795\n",
            "[2023/08/11 04:32:26] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:26] ppocr DEBUG: dt_boxes num : 1, elapse : 0.16730833053588867\n",
            "[2023/08/11 04:32:27] ppocr DEBUG: rec_res num  : 1, elapse : 0.2621731758117676\n",
            "[2023/08/11 04:32:27] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:27] ppocr DEBUG: dt_boxes num : 1, elapse : 0.21613311767578125\n",
            "[2023/08/11 04:32:27] ppocr DEBUG: rec_res num  : 1, elapse : 0.29445409774780273\n",
            "[2023/08/11 04:32:27] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:27] ppocr DEBUG: dt_boxes num : 1, elapse : 0.2208843231201172\n",
            "[2023/08/11 04:32:28] ppocr DEBUG: rec_res num  : 1, elapse : 0.2812802791595459\n",
            "[2023/08/11 04:32:28] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:28] ppocr DEBUG: dt_boxes num : 1, elapse : 0.21394848823547363\n",
            "[2023/08/11 04:32:28] ppocr DEBUG: rec_res num  : 1, elapse : 0.26235270500183105\n",
            "[2023/08/11 04:32:28] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:28] ppocr DEBUG: dt_boxes num : 1, elapse : 0.2163105010986328\n",
            "[2023/08/11 04:32:29] ppocr DEBUG: rec_res num  : 1, elapse : 0.26692962646484375\n",
            "[2023/08/11 04:32:29] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:29] ppocr DEBUG: dt_boxes num : 1, elapse : 0.22967004776000977\n",
            "[2023/08/11 04:32:29] ppocr DEBUG: rec_res num  : 1, elapse : 0.26905012130737305\n",
            "[2023/08/11 04:32:29] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:29] ppocr DEBUG: dt_boxes num : 1, elapse : 0.21063995361328125\n",
            "[2023/08/11 04:32:30] ppocr DEBUG: rec_res num  : 1, elapse : 0.2693603038787842\n",
            "[2023/08/11 04:32:30] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:30] ppocr DEBUG: dt_boxes num : 1, elapse : 0.2217245101928711\n",
            "[2023/08/11 04:32:30] ppocr DEBUG: rec_res num  : 1, elapse : 0.2727959156036377\n",
            "[2023/08/11 04:32:30] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:31] ppocr DEBUG: dt_boxes num : 1, elapse : 0.2272510528564453\n",
            "[2023/08/11 04:32:31] ppocr DEBUG: rec_res num  : 1, elapse : 0.26223158836364746\n",
            "[2023/08/11 04:32:31] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:31] ppocr DEBUG: dt_boxes num : 1, elapse : 0.21621298789978027\n",
            "[2023/08/11 04:32:31] ppocr DEBUG: rec_res num  : 1, elapse : 0.2552797794342041\n",
            "[2023/08/11 04:32:31] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:31] ppocr DEBUG: dt_boxes num : 1, elapse : 0.21300053596496582\n",
            "[2023/08/11 04:32:32] ppocr DEBUG: rec_res num  : 1, elapse : 0.2552762031555176\n",
            "[2023/08/11 04:32:32] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:32] ppocr DEBUG: dt_boxes num : 1, elapse : 0.2104661464691162\n",
            "[2023/08/11 04:32:32] ppocr DEBUG: rec_res num  : 1, elapse : 0.2537989616394043\n",
            "[2023/08/11 04:32:32] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:32] ppocr DEBUG: dt_boxes num : 1, elapse : 0.21838617324829102\n",
            "[2023/08/11 04:32:33] ppocr DEBUG: rec_res num  : 1, elapse : 0.26254916191101074\n",
            "[2023/08/11 04:32:33] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:33] ppocr DEBUG: dt_boxes num : 1, elapse : 0.2315208911895752\n",
            "[2023/08/11 04:32:33] ppocr DEBUG: rec_res num  : 1, elapse : 0.26538944244384766\n",
            "[2023/08/11 04:32:33] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:33] ppocr DEBUG: dt_boxes num : 1, elapse : 0.21805286407470703\n",
            "[2023/08/11 04:32:34] ppocr DEBUG: rec_res num  : 1, elapse : 0.18574047088623047\n",
            "[2023/08/11 04:32:34] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:34] ppocr DEBUG: dt_boxes num : 1, elapse : 0.16270923614501953\n",
            "[2023/08/11 04:32:34] ppocr DEBUG: rec_res num  : 1, elapse : 0.186875581741333\n",
            "[2023/08/11 04:32:34] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:34] ppocr DEBUG: dt_boxes num : 1, elapse : 0.17362689971923828\n",
            "[2023/08/11 04:32:34] ppocr DEBUG: rec_res num  : 1, elapse : 0.15656042098999023\n",
            "[2023/08/11 04:32:34] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:35] ppocr DEBUG: dt_boxes num : 1, elapse : 0.17597079277038574\n",
            "[2023/08/11 04:32:35] ppocr DEBUG: rec_res num  : 1, elapse : 0.16314220428466797\n",
            "[2023/08/11 04:32:35] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:35] ppocr DEBUG: dt_boxes num : 1, elapse : 0.16541481018066406\n",
            "[2023/08/11 04:32:35] ppocr DEBUG: rec_res num  : 1, elapse : 0.15462851524353027\n",
            "[2023/08/11 04:32:35] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:35] ppocr DEBUG: dt_boxes num : 1, elapse : 0.15878891944885254\n",
            "[2023/08/11 04:32:35] ppocr DEBUG: rec_res num  : 1, elapse : 0.15925264358520508\n",
            "[2023/08/11 04:32:35] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:36] ppocr DEBUG: dt_boxes num : 0, elapse : 0.18926000595092773\n",
            "[2023/08/11 04:32:36] ppocr DEBUG: rec_res num  : 0, elapse : 3.5762786865234375e-06\n",
            "[2023/08/11 04:32:36] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:36] ppocr DEBUG: dt_boxes num : 0, elapse : 0.1645963191986084\n",
            "[2023/08/11 04:32:36] ppocr DEBUG: rec_res num  : 0, elapse : 3.0994415283203125e-06\n",
            "[2023/08/11 04:32:36] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:36] ppocr DEBUG: dt_boxes num : 0, elapse : 0.15198135375976562\n",
            "[2023/08/11 04:32:36] ppocr DEBUG: rec_res num  : 0, elapse : 3.0994415283203125e-06\n",
            "[2023/08/11 04:32:36] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:36] ppocr DEBUG: dt_boxes num : 0, elapse : 0.14520716667175293\n",
            "[2023/08/11 04:32:36] ppocr DEBUG: rec_res num  : 0, elapse : 3.0994415283203125e-06\n",
            "[2023/08/11 04:32:36] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:36] ppocr DEBUG: dt_boxes num : 1, elapse : 0.14216184616088867\n",
            "[2023/08/11 04:32:36] ppocr DEBUG: rec_res num  : 1, elapse : 0.12565398216247559\n",
            "[2023/08/11 04:32:36] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:37] ppocr DEBUG: dt_boxes num : 1, elapse : 0.15559077262878418\n",
            "[2023/08/11 04:32:37] ppocr DEBUG: rec_res num  : 1, elapse : 0.12664437294006348\n",
            "[2023/08/11 04:32:37] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:37] ppocr DEBUG: dt_boxes num : 1, elapse : 0.1454334259033203\n",
            "[2023/08/11 04:32:37] ppocr DEBUG: rec_res num  : 1, elapse : 0.12646079063415527\n",
            "[2023/08/11 04:32:37] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:37] ppocr DEBUG: dt_boxes num : 1, elapse : 0.16304516792297363\n",
            "[2023/08/11 04:32:37] ppocr DEBUG: rec_res num  : 1, elapse : 0.12246561050415039\n",
            "[2023/08/11 04:32:37] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:38] ppocr DEBUG: dt_boxes num : 1, elapse : 0.16958141326904297\n",
            "[2023/08/11 04:32:38] ppocr DEBUG: rec_res num  : 1, elapse : 0.1401071548461914\n",
            "[2023/08/11 04:32:38] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:38] ppocr DEBUG: dt_boxes num : 1, elapse : 0.16011428833007812\n",
            "[2023/08/11 04:32:38] ppocr DEBUG: rec_res num  : 1, elapse : 0.12973642349243164\n",
            "[2023/08/11 04:32:38] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:38] ppocr DEBUG: dt_boxes num : 1, elapse : 0.15234017372131348\n",
            "[2023/08/11 04:32:38] ppocr DEBUG: rec_res num  : 1, elapse : 0.12304139137268066\n",
            "[2023/08/11 04:32:38] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:38] ppocr DEBUG: dt_boxes num : 0, elapse : 0.1472480297088623\n",
            "[2023/08/11 04:32:38] ppocr DEBUG: rec_res num  : 0, elapse : 2.6226043701171875e-06\n",
            "[2023/08/11 04:32:38] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:39] ppocr DEBUG: dt_boxes num : 0, elapse : 0.1487736701965332\n",
            "[2023/08/11 04:32:39] ppocr DEBUG: rec_res num  : 0, elapse : 2.384185791015625e-06\n",
            "[2023/08/11 04:32:39] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:39] ppocr DEBUG: dt_boxes num : 1, elapse : 0.15118193626403809\n",
            "[2023/08/11 04:32:39] ppocr DEBUG: rec_res num  : 1, elapse : 0.1184084415435791\n",
            "[2023/08/11 04:32:39] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:39] ppocr DEBUG: dt_boxes num : 0, elapse : 0.13809823989868164\n",
            "[2023/08/11 04:32:39] ppocr DEBUG: rec_res num  : 0, elapse : 3.0994415283203125e-06\n",
            "[2023/08/11 04:32:39] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:39] ppocr DEBUG: dt_boxes num : 2, elapse : 0.1413431167602539\n",
            "[2023/08/11 04:32:40] ppocr DEBUG: rec_res num  : 2, elapse : 0.2603609561920166\n",
            "[2023/08/11 04:32:40] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:40] ppocr DEBUG: dt_boxes num : 0, elapse : 0.14590072631835938\n",
            "[2023/08/11 04:32:40] ppocr DEBUG: rec_res num  : 0, elapse : 2.384185791015625e-06\n",
            "[2023/08/11 04:32:40] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:40] ppocr DEBUG: dt_boxes num : 0, elapse : 0.1386880874633789\n",
            "[2023/08/11 04:32:40] ppocr DEBUG: rec_res num  : 0, elapse : 2.1457672119140625e-06\n",
            "[2023/08/11 04:32:40] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:40] ppocr DEBUG: dt_boxes num : 1, elapse : 0.13961482048034668\n",
            "[2023/08/11 04:32:40] ppocr DEBUG: rec_res num  : 1, elapse : 0.30271434783935547\n",
            "[2023/08/11 04:32:40] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:41] ppocr DEBUG: dt_boxes num : 1, elapse : 0.153123140335083\n",
            "[2023/08/11 04:32:41] ppocr DEBUG: rec_res num  : 1, elapse : 0.31098008155822754\n",
            "[2023/08/11 04:32:41] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:41] ppocr DEBUG: dt_boxes num : 1, elapse : 0.15036773681640625\n",
            "[2023/08/11 04:32:41] ppocr DEBUG: rec_res num  : 1, elapse : 0.3106093406677246\n",
            "[2023/08/11 04:32:41] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:42] ppocr DEBUG: dt_boxes num : 1, elapse : 0.16759848594665527\n",
            "[2023/08/11 04:32:42] ppocr DEBUG: rec_res num  : 1, elapse : 0.3152430057525635\n",
            "[2023/08/11 04:32:42] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:42] ppocr DEBUG: dt_boxes num : 0, elapse : 0.14052820205688477\n",
            "[2023/08/11 04:32:42] ppocr DEBUG: rec_res num  : 0, elapse : 3.337860107421875e-06\n",
            "[2023/08/11 04:32:42] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:42] ppocr DEBUG: dt_boxes num : 1, elapse : 0.1446375846862793\n",
            "[2023/08/11 04:32:43] ppocr DEBUG: rec_res num  : 1, elapse : 0.3124380111694336\n",
            "[2023/08/11 04:32:43] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:43] ppocr DEBUG: dt_boxes num : 1, elapse : 0.14623785018920898\n",
            "[2023/08/11 04:32:43] ppocr DEBUG: rec_res num  : 1, elapse : 0.30502963066101074\n",
            "[2023/08/11 04:32:43] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:43] ppocr DEBUG: dt_boxes num : 1, elapse : 0.13620758056640625\n",
            "[2023/08/11 04:32:44] ppocr DEBUG: rec_res num  : 1, elapse : 0.5587365627288818\n",
            "[2023/08/11 04:32:44] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:44] ppocr DEBUG: dt_boxes num : 1, elapse : 0.23687529563903809\n",
            "[2023/08/11 04:32:45] ppocr DEBUG: rec_res num  : 1, elapse : 0.584813117980957\n",
            "[2023/08/11 04:32:45] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:46] ppocr DEBUG: dt_boxes num : 0, elapse : 0.23230910301208496\n",
            "[2023/08/11 04:32:46] ppocr DEBUG: rec_res num  : 0, elapse : 3.337860107421875e-06\n",
            "[2023/08/11 04:32:46] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:46] ppocr DEBUG: dt_boxes num : 2, elapse : 0.2126905918121338\n",
            "[2023/08/11 04:32:47] ppocr DEBUG: rec_res num  : 2, elapse : 1.0672810077667236\n",
            "[2023/08/11 04:32:48] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:48] ppocr DEBUG: dt_boxes num : 0, elapse : 0.2940647602081299\n",
            "[2023/08/11 04:32:48] ppocr DEBUG: rec_res num  : 0, elapse : 3.0994415283203125e-06\n",
            "[2023/08/11 04:32:48] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:48] ppocr DEBUG: dt_boxes num : 0, elapse : 0.275909423828125\n",
            "[2023/08/11 04:32:48] ppocr DEBUG: rec_res num  : 0, elapse : 3.0994415283203125e-06\n",
            "[2023/08/11 04:32:48] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process\n",
            "[2023/08/11 04:32:48] ppocr DEBUG: dt_boxes num : 1, elapse : 0.26091814041137695\n",
            "[2023/08/11 04:32:49] ppocr DEBUG: rec_res num  : 1, elapse : 0.26094675064086914\n"
          ]
        }
      ],
      "source": [
        "from videocr import save_subtitles_to_file\n",
        "\n",
        "#@title OCR parameters\n",
        "input_file_path = \"drive/MyDrive/example.mp4\" #@param {type:\"string\"}\n",
        "output_file_path = \"example.srt\" #@param {type:\"string\"}\n",
        "language_code = \"ch\" #@param {type:\"string\"}\n",
        "use_gpu = False #@param {type:\"boolean\"}\n",
        "start_time = \"07:10\" #@param {type:\"string\"}\n",
        "end_time = \"07:30\" #@param {type:\"string\"}\n",
        "confidence_threshold = 75 #@param {type:\"number\"}\n",
        "similarity_threshold = 80 #@param {type:\"number\"}\n",
        "frames_to_skip = 0 #@param {type:\"integer\"}\n",
        "crop_x = 190 #@param {type:\"integer\"}\n",
        "crop_y = 600 #@param {type:\"integer\"}\n",
        "crop_width = 950 #@param {type:\"integer\"}\n",
        "crop_height = 120 #@param {type:\"integer\"}\n",
        "\n",
        "save_subtitles_to_file(input_file_path, output_file_path, lang=language_code,\n",
        "                       time_start=start_time, time_end=end_time,\n",
        "                       conf_threshold=confidence_threshold, sim_threshold=similarity_threshold,\n",
        "                       use_gpu=use_gpu,\n",
        "                       # # Models different from the default mobile models can be downloaded here: https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.3/doc/doc_en/models_list_en.md\n",
        "                       # det_model_dir='<PADDLEOCR DETECTION MODEL DIR>', rec_model_dir='<PADDLEOCR RECOGNITION MODEL DIR>',\n",
        "                       # brightness_threshold=210, similar_image_threshold=1000 # filters might help\n",
        "                       # use_fullframe=True, # note: videocr just assumes horizontal lines of text. vertical text scenario hasn't been implemented yet\n",
        "                       frames_to_skip=frames_to_skip, # can skip inference for some frames to speed up the process\n",
        "                       crop_x=crop_x, crop_y=crop_y, crop_width=crop_width, crop_height=crop_height)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Nn3bbj8qzV0G",
        "outputId": "5429b5f6-449f-4355-c738-00d7f5c5ce26"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0\n",
            "00:07:09,999 --> 00:07:09,999\n",
            "商城..现在没什么东西\n",
            "\n",
            "1\n",
            "00:07:10,249 --> 00:07:11,916\n",
            "这边是战斗辅助系统\n",
            "\n",
            "2\n",
            "00:07:12,916 --> 00:07:14,374\n",
            "要进去才能了解了\n",
            "\n",
            "3\n",
            "00:07:14,958 --> 00:07:15,791\n",
            "没问题了吧\n",
            "\n",
            "4\n",
            "00:07:16,166 --> 00:07:16,958\n",
            "我们准备登录\n",
            "\n",
            "5\n",
            "00:07:18,249 --> 00:07:20,958\n",
            "啊，对了，登录没有服务器的选择么？\n",
            "\n",
            "6\n",
            "00:07:21,166 --> 00:07:24,916\n",
            "没有，本游戏所有玩家，都在一个服务器内\n",
            "\n",
            "7\n",
            "00:07:25,708 --> 00:07:28,708\n",
            "刺激了 这么多玩家居然都不分流的么\n",
            "\n",
            "8\n",
            "00:07:29,333 --> 00:07:29,958\n",
            "那...现在登录吗？\n",
            "\n",
            "\n"
          ]
        }
      ],
      "source": [
        "with open(output_file_path, 'r') as f:\n",
        "  print(f.read())"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}