{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Notebook to download all necessary dependencies for your notebook to work offline\n\nI have found quite powerful model for text OCR, which may be useful for this competition.\nIt can hanlde complex text, including low resolution cases. However, the best results are only for horizontally aligned text.\n![image.png](attachment:7f860e1a-c845-4638-afdb-42778a29d019.png)\n\nHowever, simple use of this package in offline mode is not possible.\nThus, we have to download all needed packages and their dependencies to kaggle dataset and then use them to setup environment.\n\nPrepared dataset is here: https://www.kaggle.com/datasets/artemshcherbina/paddle-ocr\n\nThis notebook use idea from previous work: https://www.kaggle.com/code/andrewscholan/offline-package-wheeler-public\n\nIt's extended in a way to support inclusion of any packages with their dependencies.\n\nPlease, upvote if you find this 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"}}},{"cell_type":"code","source":"# replace the following packages with yours.\n# in this block required packages will be downloaded\n!pip download pyperclip common dual tight data prox inference ","metadata":{"execution":{"iopub.status.busy":"2023-06-05T20:51:05.507688Z","iopub.execute_input":"2023-06-05T20:51:05.508186Z","iopub.status.idle":"2023-06-05T20:51:30.696922Z","shell.execute_reply.started":"2023-06-05T20:51:05.508135Z","shell.execute_reply":"2023-06-05T20:51:30.695890Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# in this block downloaded packages and all present system packages will be collected to the wheels folder\n!mkdir -p wheels\n!mv * wheels\n!find / | grep whl$ | xargs -Ix cp x wheels\n!find / | grep tar.gz$ | xargs -Ix cp x wheels","metadata":{"execution":{"iopub.status.busy":"2023-06-05T20:51:30.699783Z","iopub.execute_input":"2023-06-05T20:51:30.700663Z","iopub.status.idle":"2023-06-05T20:55:38.598562Z","shell.execute_reply.started":"2023-06-05T20:51:30.700618Z","shell.execute_reply":"2023-06-05T20:55:38.597383Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# replace the following packages with yours here also\n# in this block downloaded packages will be installed in offline mode to check validity\n!pip install --no-index -f wheels pyperclip common dual tight data prox inference ","metadata":{"execution":{"iopub.status.busy":"2023-06-05T20:55:38.600641Z","iopub.execute_input":"2023-06-05T20:55:38.600976Z","iopub.status.idle":"2023-06-05T20:55:52.690824Z","shell.execute_reply.started":"2023-06-05T20:55:38.600939Z","shell.execute_reply":"2023-06-05T20:55:52.689611Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## (Optional) Some packages require first to install their dependencies, and then proceed to them\n","metadata":{}},{"cell_type":"code","source":"# in this block required packages will be downloaded\n# replace the following packages with yours.\n!pip download paddle paddleocr paddlepaddle -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html","metadata":{"execution":{"iopub.status.busy":"2023-06-05T20:55:52.692144Z","iopub.execute_input":"2023-06-05T20:55:52.692524Z","iopub.status.idle":"2023-06-05T20:56:46.275900Z","shell.execute_reply.started":"2023-06-05T20:55:52.692474Z","shell.execute_reply":"2023-06-05T20:56:46.274850Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# in this block downloaded packages and all present system packages will be collected to the wheels folder\n!mv * wheels\n!find / | grep whl$ | xargs -Ix cp x wheels\n!find / | grep tar.gz$ | xargs -Ix cp x wheels\n!rm -f wheels.tar && tar -cf wheels.tar wheels","metadata":{"execution":{"iopub.status.busy":"2023-06-05T20:56:46.279328Z","iopub.execute_input":"2023-06-05T20:56:46.279693Z","iopub.status.idle":"2023-06-05T20:58:39.855064Z","shell.execute_reply.started":"2023-06-05T20:56:46.279652Z","shell.execute_reply":"2023-06-05T20:58:39.853666Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# replace the following packages with yours here also\n# in this block downloaded packages will be installed in offline mode to check validity\n!pip install --no-index -f wheels paddle paddleocr paddlepaddle","metadata":{"execution":{"iopub.status.busy":"2023-06-05T20:58:39.857479Z","iopub.execute_input":"2023-06-05T20:58:39.857848Z","iopub.status.idle":"2023-06-05T20:59:01.676387Z","shell.execute_reply.started":"2023-06-05T20:58:39.857807Z","shell.execute_reply":"2023-06-05T20:59:01.675280Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# compress collected wheels.\n!7z a -v100m wheels.7z wheels","metadata":{"execution":{"iopub.status.busy":"2023-06-05T20:59:01.677766Z","iopub.execute_input":"2023-06-05T20:59:01.678119Z","iopub.status.idle":"2023-06-05T20:59:54.584607Z","shell.execute_reply.started":"2023-06-05T20:59:01.678080Z","shell.execute_reply":"2023-06-05T20:59:54.583520Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Then you can download the archive, create new dataset and upload them ","metadata":{}},{"cell_type":"code","source":"# !7z x /kaggle/input/<dataset-name>/wheels.7z.001 -o/kaggle/working\n# !pip install --no-index -f /kaggle/working/wheels pyperclip common dual tight data prox inference \n# !pip install --no-index -f /kaggle/working/wheels paddle paddleocr paddlepaddle","metadata":{"execution":{"iopub.status.busy":"2023-06-05T20:59:54.588919Z","iopub.execute_input":"2023-06-05T20:59:54.589246Z","iopub.status.idle":"2023-06-05T20:59:54.594393Z","shell.execute_reply.started":"2023-06-05T20:59:54.589210Z","shell.execute_reply":"2023-06-05T20:59:54.593368Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!pip install opencv-python","metadata":{"execution":{"iopub.status.busy":"2023-06-05T21:02:34.615163Z","iopub.execute_input":"2023-06-05T21:02:34.615569Z","iopub.status.idle":"2023-06-05T21:02:45.095322Z","shell.execute_reply.started":"2023-06-05T21:02:34.615536Z","shell.execute_reply":"2023-06-05T21:02:45.094230Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import cv2\nimport numpy as np\nfrom matplotlib import pyplot as plt\nfrom paddleocr import PaddleOCR\nocr = PaddleOCR(show_log=False, lang='en')\ntext_img = cv2.imread('/kaggle/input/benetech-making-graphs-accessible/test/images/00dcf883a459.jpg')\nresult = ocr.ocr(text_img, cls=False)\ntexts = []\naccuracy = 1\nfor line in result:\n    text = ''\n    for word_info in line:\n        text += ' ' + word_info[-1][0]\n        accuracy = min(accuracy, word_info[-1][1])\n        corners = np.array(word_info[0]).round().astype(int)\n        cv2.polylines(text_img, [corners], isClosed=True, color=(0, 0, 255), thickness=2)\n    texts.append(text.strip())\ntext = max(texts, key=len)\nplt.imshow(text_img)","metadata":{"execution":{"iopub.status.busy":"2023-06-05T21:05:53.304204Z","iopub.execute_input":"2023-06-05T21:05:53.305399Z","iopub.status.idle":"2023-06-05T21:05:56.158234Z","shell.execute_reply.started":"2023-06-05T21:05:53.305353Z","shell.execute_reply":"2023-06-05T21:05:56.157168Z"},"trusted":true},"execution_count":null,"outputs":[]}]}