ocr_demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# OCR - Optical Character Recognition\n",
    "This is a demo of one or multiple OCR technologies from simple to possibly a bit harder to implement. Data should be put into the \"data\" subdirectory and from there all kinds of images will be loaded and processed.\n",
    "\n",
    "In the first step we will be taking a look at EasyOCR for a simple to use and possibly lightweight setup."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EasyOCR\n",
    "EasyOCR (https://github.com/JaidedAI/EasyOCR) is a ready to use OCR framework with a bunch of supported languages and file types for typed text. It is available under Apache 2.0 License."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n",
      "\n",
      "[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n",
      "\n",
      "[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n",
      "\n",
      "[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n",
      "\n",
      "[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "# Install\n",
    "!pip3 install torch torchvision torchaudio opencv-python wget -q\n",
    "!pip install torch-directml -q\n",
    "!pip install easyocr -q\n",
    "!pip install pandas -q\n",
    "!pip install matplotlib -q"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: opencv-python in c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages (4.8.1.78)\n",
      "Requirement already satisfied: numpy>=1.17.3 in c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages (from opencv-python) (1.26.2)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "!pip install opencv-python --upgrade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "!pip install torch-directml -q"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "device(type='privateuseone', index=0)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import torch\n",
    "import torch_directml\n",
    "\n",
    "dml = torch_directml.device()\n",
    "dml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Neither CUDA nor MPS are available - defaulting to CPU. Note: This module is much faster with a GPU.\n"
     ]
    }
   ],
   "source": [
    "# import and load reader\n",
    "import easyocr\n",
    "\n",
    "easyocr_reader = easyocr.Reader(lang_list=[\"de\", \"en\"]) # Read german and english text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "directory = \"data\"\n",
    "file_data = []\n",
    "\n",
    "\n",
    "for filename in os.listdir(directory):\n",
    "    if filename.endswith((\".jpg\", \".png\", \".jpeg\")):\n",
    "        result = easyocr_reader.readtext(directory + \"/\" + filename, decoder=\"beamsearch\", rotation_info=[15, -15], batch_size=8)\n",
    "        file_data.append([filename, result])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize results\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "for result in file_data:\n",
    "    img = cv2.imread(directory + \"/\" + result[0])\n",
    "    for entry in result[1]:\n",
    "        box, text, confidence = entry\n",
    "        \n",
    "        # unpack the bounding box\n",
    "        (tl, tr, br, bl) = box\n",
    "        text_point = (int(tl[0]) * 2, int(tl[1]))\n",
    "        tl = (int(tl[0]), int(tl[1]))\n",
    "        tr = (int(tr[0]), int(tr[1]))\n",
    "        br = (int(br[0]), int(br[1]))\n",
    "        bl = (int(bl[0]), int(bl[1]))\n",
    "        \n",
    "        cv2.rectangle(img, tl, br, (0, 255, 0), 2)\n",
    "        cv2.putText(img=img, text=text, org=text_point, fontFace=cv2.FONT_HERSHEY_SIMPLEX, fontScale=0.9, color=(0,0,255), thickness=2)\n",
    "    plt.imshow(img)\n",
    "    cv2.imwrite(\"imoutput/\" + result[0], img)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PaddleOCR\n",
    "PaddleOCR (https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.7/README_en.md) is a chinese open source OCR Tool for practical use and training of ocr models in over 80+ models, with a few more customization options than EasyOCR. It is also released under the Apache 2.0 License."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Collecting paddlepaddle\n",
      "  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/4c/99/d233a55b841235344bc1006b7a0b5df18a89b603e3e25e44e381f438d12e/paddlepaddle-2.5.2-cp310-cp310-win_amd64.whl (72.0 MB)\n",
      "     ---------------------------------------- 0.0/72.0 MB ? eta -:--:--\n",
      "     ---------------------------------------- 0.0/72.0 MB ? eta -:--:--\n",
      "     --------------------------------------- 0.0/72.0 MB 262.6 kB/s eta 0:04:34\n",
      "     --------------------------------------- 0.0/72.0 MB 262.6 kB/s eta 0:04:34\n",
      "     --------------------------------------- 0.0/72.0 MB 178.6 kB/s eta 0:06:43\n",
      "     --------------------------------------- 0.0/72.0 MB 178.6 kB/s eta 0:06:43\n",
      "     --------------------------------------- 0.1/72.0 MB 218.8 kB/s eta 0:05:29\n",
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      "     --------------------------------------- 0.8/72.0 MB 655.4 kB/s eta 0:01:49\n",
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      "Installing collected packages: protobuf, opt-einsum, h11, astor, httpcore, httpx, paddlepaddle\n",
      "Successfully installed astor-0.8.1 h11-0.14.0 httpcore-1.0.2 httpx-0.25.1 opt-einsum-3.3.0 paddlepaddle-2.5.2 protobuf-3.20.2\n"
     ]
    },
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "!pip install paddlepaddle -q"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "Installing collected packages: opencv-contrib-python, lxml, kiwisolver, itsdangerous, future, fonttools, fire, et-xmlfile, cython, cycler, cssutils, cssselect, contourpy, click, cachetools, blinker, attrdict, python-docx, premailer, openpyxl, matplotlib, flask, bce-python-sdk, pdf2docx, imgaug, Flask-Babel, visualdl, paddleocr\n",
      "  Running setup.py install for future: started\n",
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      "Successfully installed Flask-Babel-4.0.0 attrdict-2.0.1 bce-python-sdk-0.8.97 blinker-1.7.0 cachetools-5.3.2 click-8.1.7 contourpy-1.2.0 cssselect-1.2.0 cssutils-2.9.0 cycler-0.12.1 cython-3.0.5 et-xmlfile-1.1.0 fire-0.5.0 flask-3.0.0 fonttools-4.45.0 future-0.18.3 imgaug-0.4.0 itsdangerous-2.1.2 kiwisolver-1.4.5 lxml-4.9.3 matplotlib-3.8.2 opencv-contrib-python-4.6.0.66 openpyxl-3.1.2 paddleocr-2.7.0.3 pdf2docx-0.5.6 premailer-3.10.0 python-docx-1.1.0 visualdl-2.5.3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "  DEPRECATION: future is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n",
      "  DEPRECATION: fire is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
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      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
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      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
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      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -pencv-python (c:\\onecx\\rag_notebooks\\.venv\\lib\\site-packages)\n",
      "\n",
      "[notice] A new release of pip is available: 23.0.1 -> 23.3.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "!pip install \"paddleocr>=2.0.1\" -q"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'paddleocr'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[1;32mc:\\onecx\\RAG_Notebooks\\ocr_demo.ipynb Cell 12\u001b[0m line \u001b[0;36m1\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/onecx/RAG_Notebooks/ocr_demo.ipynb#X13sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mpaddleocr\u001b[39;00m \u001b[39mimport\u001b[39;00m PaddleOCR, draw_ocr\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/onecx/RAG_Notebooks/ocr_demo.ipynb#X13sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mPIL\u001b[39;00m \u001b[39mimport\u001b[39;00m Image\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/onecx/RAG_Notebooks/ocr_demo.ipynb#X13sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m paddle_ocr \u001b[39m=\u001b[39m PaddleOCR(use_angle_cls\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m, lang\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mgerman\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'paddleocr'"
     ]
    }
   ],
   "source": [
    "from paddleocr import PaddleOCR, draw_ocr\n",
    "from PIL import Image\n",
    "\n",
    "paddle_ocr = PaddleOCR(use_angle_cls=True, lang=\"german\")\n",
    "\n",
    "directory = \"data\"\n",
    "paddle_file_data = []\n",
    "\n",
    "\n",
    "for filename in os.listdir(directory):\n",
    "    if filename.endswith((\".jpg\", \".png\", \".jpeg\")):\n",
    "        result = paddle_ocr.ocr(img=directory + \"/\" + filename, cls=True)\n",
    "        paddle_file_data.append([filename, result])\n",
    "        for idx in range(len(result)):\n",
    "            res = result[idx]\n",
    "            print(res)\n",
    "        \n",
    "paddle_file_data\n",
    "\n",
    "for entry in paddle_file_data:\n",
    "    result = entry[1][0]\n",
    "    image = Image.open(directory + \"/\" + entry[0]).convert('RGB')\n",
    "    boxes = [line[0] for line in result]\n",
    "    txts = [line[1][0] for line in result]\n",
    "    scores = [line[1][1] for line in result]\n",
    "    im_show = draw_ocr(image, boxes, txts, scores, font_path='./fonts/Roboto-Light.ttf')\n",
    "    im_show = Image.fromarray(im_show)\n",
    "    display(im_show)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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