trainer.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download Model for fine tunning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2022-12-10 21:57:44--  https://github.com/JaidedAI/EasyOCR/releases/download/v1.3/english_g2.zip\n",
      "Resolving github.com (github.com)... 20.205.243.166\n",
      "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n",
      "HTTP request sent, awaiting response... 302 Found\n",
      "Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/247266215/adab9d00-8a64-11eb-8f75-0958f4d0892d?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20221210%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20221210T145745Z&X-Amz-Expires=300&X-Amz-Signature=f497c576b2168fd9b212a05da86e5bef095aa27c67a9ce51d4d2c08c7b9fc15b&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=247266215&response-content-disposition=attachment%3B%20filename%3Denglish_g2.zip&response-content-type=application%2Foctet-stream [following]\n",
      "--2022-12-10 21:57:45--  https://objects.githubusercontent.com/github-production-release-asset-2e65be/247266215/adab9d00-8a64-11eb-8f75-0958f4d0892d?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20221210%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20221210T145745Z&X-Amz-Expires=300&X-Amz-Signature=f497c576b2168fd9b212a05da86e5bef095aa27c67a9ce51d4d2c08c7b9fc15b&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=247266215&response-content-disposition=attachment%3B%20filename%3Denglish_g2.zip&response-content-type=application%2Foctet-stream\n",
      "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.111.133, 185.199.109.133, 185.199.110.133, ...\n",
      "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.111.133|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 14040947 (13M) [application/octet-stream]\n",
      "Saving to: ‘english_g2.zip’\n",
      "\n",
      "english_g2.zip      100%[===================>]  13.39M  1017KB/s    in 8.8s    \n",
      "\n",
      "2022-12-10 21:57:54 (1.51 MB/s) - ‘english_g2.zip’ saved [14040947/14040947]\n",
      "\n",
      "Archive:  english_g2.zip\n",
      "  inflating: english_g2.pth          \n"
     ]
    }
   ],
   "source": [
    "# Download model englis_g2\n",
    "!wget https://github.com/JaidedAI/EasyOCR/releases/download/v1.3/english_g2.zip\n",
    "!unzip english_g2.zip\n",
    "!mv english_g2.pth saved_models/\n",
    "!rm english_g2.zip"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Prepare dataset training\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2022-12-10 22:04:04--  https://github.com/JaidedAI/EasyOCR/releases/download/v1.4/en_sample.zip\n",
      "Resolving github.com (github.com)... 20.205.243.166\n",
      "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n",
      "HTTP request sent, awaiting response... 302 Found\n",
      "Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/247266215/40c46080-d8f9-11eb-8ac8-55827fc2b1e9?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20221210%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20221210T150405Z&X-Amz-Expires=300&X-Amz-Signature=ee6fbaeb4380a0909532040683857af5c3c47cf21b51e032a987b216c58ca216&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=247266215&response-content-disposition=attachment%3B%20filename%3Den_sample.zip&response-content-type=application%2Foctet-stream [following]\n",
      "--2022-12-10 22:04:05--  https://objects.githubusercontent.com/github-production-release-asset-2e65be/247266215/40c46080-d8f9-11eb-8ac8-55827fc2b1e9?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20221210%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20221210T150405Z&X-Amz-Expires=300&X-Amz-Signature=ee6fbaeb4380a0909532040683857af5c3c47cf21b51e032a987b216c58ca216&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=247266215&response-content-disposition=attachment%3B%20filename%3Den_sample.zip&response-content-type=application%2Foctet-stream\n",
      "Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.111.133, 185.199.109.133, 185.199.110.133, ...\n",
      "Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.111.133|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 5606545 (5.3M) [application/octet-stream]\n",
      "Saving to: ‘en_sample.zip’\n",
      "\n",
      "en_sample.zip       100%[===================>]   5.35M  8.47MB/s    in 0.6s    \n",
      "\n",
      "2022-12-10 22:04:06 (8.47 MB/s) - ‘en_sample.zip’ saved [5606545/5606545]\n",
      "\n",
      "Archive:  en_sample.zip\n",
      "   creating: all_data/en_sample/\n",
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     ]
    }
   ],
   "source": [
    "!wget https://github.com/JaidedAI/EasyOCR/releases/download/v1.4/en_sample.zip\n",
    "!unzip en_sample.zip -d all_data\n",
    "!rm en_sample.zip"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Install requirements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip3 install lmdb pillow nltk natsort pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-23T04:19:23.488642Z",
     "start_time": "2021-07-23T04:19:21.854534Z"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import torch.backends.cudnn as cudnn\n",
    "import yaml\n",
    "from train import train\n",
    "from utils import AttrDict\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-23T04:19:23.885144Z",
     "start_time": "2021-07-23T04:19:23.880564Z"
    },
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "cudnn.benchmark = True\n",
    "cudnn.deterministic = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-23T04:19:24.119144Z",
     "start_time": "2021-07-23T04:19:24.112032Z"
    },
    "code_folding": [
     0
    ]
   },
   "outputs": [],
   "source": [
    "def get_config(file_path):\n",
    "    with open(file_path, 'r', encoding=\"utf8\") as stream:\n",
    "        opt = yaml.safe_load(stream)\n",
    "    opt = AttrDict(opt)\n",
    "    if opt.lang_char == 'None':\n",
    "        characters = ''\n",
    "        for data in opt['select_data'].split('-'):\n",
    "            csv_path = os.path.join(opt['train_data'], data, 'labels.csv')\n",
    "            df = pd.read_csv(csv_path, sep='^([^,]+),', engine='python', usecols=['filename', 'words'], keep_default_na=False)\n",
    "            all_char = ''.join(df['words'])\n",
    "            characters += ''.join(set(all_char))\n",
    "        characters = sorted(set(characters))\n",
    "        opt.character= ''.join(characters)\n",
    "    else:\n",
    "        opt.character = opt.number + opt.symbol + opt.lang_char\n",
    "    os.makedirs(f'./saved_models/{opt.experiment_name}', exist_ok=True)\n",
    "    return opt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-07-23T04:49:07.045060Z",
     "start_time": "2021-07-23T04:20:15.050992Z"
    }
   },
   "outputs": [],
   "source": [
    "opt = get_config(\"config_files/en_fine_tunning_config.yaml\")\n",
    "train(opt, amp=False)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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