{"cells": [{"cell_type": "code", "execution_count": null, "metadata": {"_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19", "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5", "tags": []}, "outputs": [], "source": "import os\nimport logging"}, {"cell_type": "code", "execution_count": null, "metadata": {"tags": []}, "outputs": [], "source": "log = logging.getLogger()\n\nif log.hasHandlers():\n    log.handlers.clear()\n    \nhandler = logging.StreamHandler()\nhandler.setLevel(logging.INFO)\n\nformatter = logging.Formatter('%(asctime)s [%(levelname)s] [%(module)s] %(message)s')\nhandler.setFormatter(formatter)\n\nlog.addHandler(handler)"}, {"cell_type": "code", "execution_count": null, "metadata": {"tags": []}, "outputs": [], "source": "def in_kaggle():\n    return \"KAGGLE_KERNEL_RUN_TYPE\" in os.environ\n\nlog.info(f\"in_kaggle: {in_kaggle()}\")"}, {"cell_type": "code", "execution_count": null, "metadata": {"_kg_hide-input": true, "tags": []}, "outputs": [], "source": "import gzip\nimport base64\nimport os\nfrom pathlib import Path\nfrom typing import Dict\n# this is base64 encoded source code\nfile_data: Dict = {'run-training.py': 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'run-ensemble-validation.py': 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'run-ensemble-inference.py': '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', 'run-validation.py': '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', 'run-inference.py': 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'src/scoring.py': 'H4sIAGZhc2kC/+1TS26DMBDdc4pRVgaRNCBlE4kcoRdACFllklgqxrKNKnr6+gPYCVUPUIWFwfb7DM9j1otBauBjLyagCrhIkqTDK3whu901dq0sW/UxSCRTq+WIZwM58I5KSaccplZI7OK19JyAeXa7nXt7UgCqOxUI5D0HTeUNdavYN6YPFHadWUaS9VBVUHjNoAfVApHoFMm+yKFIA9+6/c63O47vIE98h4sqC0YOVhfNYvEAquAULHxyylBNKi4TUh8PRj8eSjucGl8xfir8m180kG0TW47GYmtf2XWQwIBxkJTfkMSUhxDXH6vPObAmzmcN52lLqdZbmbLU2BPbELC32BSyDMo0RupBb5Bm1iPldpY+U2Rp4IUBzS5vi4iJev66wNElZYI7Rrw5ggMVAnlHZLnNZs1xXfSYqMdDsYGYLUeRmnLm3WXFe6AeJY9l8uA736PX9dlen1eH/48O/wEOGaiXPQYAAA==', 'src/inference.py': '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', 'src/datasets.py': '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', 'src/utils.py': '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', 'src/data_modules.py': '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', 'config/main.yaml': 'H4sIAGZhc2kC/81TTU/cMBC951dY0Ej0YOqYLIL8gKqXnnqqqmrkdSaJwR9R7IBo1f9eO94tWtjloxc4xTPz/Dzz5qXFTsw6+KYghBLwqDsoiuGunURKTbNNH0JaNTXEzWGcw6cPv627bcrvtDS0bKH8QsuvtPz2JwKv3Drj5bDc+Cy0x5wH7fpe2T7XOzcZEQJOPseEeGVGjdtoi2jIUXkivAzK4EdPfpQnGm9QW5HCnzE0rp11OpN4Ru9FH4OjohjFJMxC7hHbhtT1qojBMWlFEGSpYno+5pSJl8CrX9gQzhjLuEiMehe4pCC93ZDQAXadkgptsBhgXZ9aD1ddAGWr60wRJqFsHHmXxc4Ggph6jKqTVRJZBOU2qXvJjLMquKjhjdBwi6ofArYw8URtoXO63VzH0ckhni9YDNYiyGEzy0WMhZSzmXV6wYIPOEZgFfM6EldIz5Y+Mzu0KMXdkt5IpWyHE1qJjweQA8rr0Smbhji7FwyWtXPGV7TitGLAKsouab1Kcjwt2SGOFTBGq5rW5//DcU5jB7wCzimvKeMv4djHwCH2witaX76IQfRKQifkssHqdPEUWo9mvfX4cfzfXmGofGWPWbeF/S7KtadX8w+WfZANQl7f3oHmDrdGntn3BrTb1tvp9tBK70a3hw59pNtft28aLeYFAAA='}\nfor path, encoded in file_data.items():\n    path = Path(path)\n    path.parent.mkdir(exist_ok=True)\n    path.write_bytes(gzip.decompress(base64.b64decode(encoded)))\n# output current commit hash\nprint('ec676535364582d20068a6629e963448248873dc')\n\n# PLACE HOLDER"}, {"cell_type": "code", "execution_count": null, "metadata": {"tags": []}, "outputs": [], "source": "if in_kaggle():\n    !pip install -q /kaggle/input/hydra-core/*\n\nelse:\n    %cd /kaggle/working"}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": "!python run-inference.py \\\nparams.model_name=tf_efficientnet_b4.ns_jft_in1k \\\nparams.image_size=2000 \\\nparams.model_dir=2025-12-15_00-14-46 \\\nparams.ratio_target=False"}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": "#!python run-inference.py \\\n#params.model_name=tf_efficientnet_b4.ns_jft_in1k \\\n#params.image_size=2000 \\\n#params.model_dir=2026-01-21_22-24-02 \\\n#params.ratio_target=False"}, {"cell_type": "code", "execution_count": null, "metadata": {"tags": []}, "outputs": [], "source": "!python run-inference.py \\\nparams.model_name=tf_efficientnet_b4.ns_jft_in1k \\\nparams.image_size=2000 \\\nparams.model_dir=2026-01-22_12-21-49 \\\nparams.ratio_target=False"}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": "!python run-ensemble-inference.py"}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ""}], "metadata": {"kaggle": {"accelerator": "nvidiaTeslaT4", "dataSources": [{"databundleVersionId": 14254895, "sourceId": 112509, "sourceType": "competition"}], "isGpuEnabled": true, "isInternetEnabled": false, "language": "python", "sourceType": "notebook"}, "kernelspec": {"display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.13"}}, "nbformat": 4, "nbformat_minor": 4}