Created
November 2, 2021 06:00
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rembg.ipynb
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{ | |
"nbformat": 4, | |
"nbformat_minor": 0, | |
"metadata": { | |
"colab": { | |
"name": "rembg.ipynb", | |
"provenance": [], | |
"authorship_tag": "ABX9TyPC2QJ1POv+P/QVnV4zIdFj", | |
"include_colab_link": true | |
}, | |
"kernelspec": { | |
"name": "python3", | |
"display_name": "Python 3" | |
}, | |
"language_info": { | |
"name": "python" | |
} | |
}, | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "view-in-github", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"<a href=\"https://colab.research.google.com/gist/yui0/16f1c560fa2763d66d1103d9191ee5c4/rembg.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "2Dyscyd4TbCT" | |
}, | |
"source": [ | |
"#!pip install torch==1.7.1+cpu torchvision==0.8.2+cpu -f https://download.pytorch.org/whl/torch_stable.html" | |
], | |
"execution_count": null, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "sSwv98gJaEEH" | |
}, | |
"source": [ | |
"!pip install rembg" | |
], | |
"execution_count": null, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "3CpzDHb7bxXY" | |
}, | |
"source": [ | |
"!cat /usr/local/lib/python3.7/dist-packages/rembg/bg.py" | |
], | |
"execution_count": null, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "QaULvZtBYJWz" | |
}, | |
"source": [ | |
"!sed -e 's/@functools.lru_cache/@functools.lru_cache(maxsize=None)/' -i.bak /usr/local/lib/python3.7/dist-packages/rembg/bg.py\n", | |
"!sed -e 's:mask = detect.predict(model, np.array(img)).convert(\"L\"):mask = detect.predict(model, np.array(img)).convert(\"L\")\\n output_path = \"/content/trimap.png\"\\n mask = mask.resize(img.size)\\n mask.save(output_path):' -i.bak /usr/local/lib/python3.7/dist-packages/rembg/bg.py" | |
], | |
"execution_count": null, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "a2B4Oucuae0p" | |
}, | |
"source": [ | |
"!cat /usr/local/lib/python3.7/dist-packages/rembg/bg.py" | |
], | |
"execution_count": null, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "Nw-2VydCUBMV" | |
}, | |
"source": [ | |
"from google.colab import files\n", | |
"uploaded = files.upload()\n", | |
"name = list(uploaded.keys())[0]\n", | |
"\n", | |
"name" | |
], | |
"execution_count": null, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "-NZcYIFUWe9Z" | |
}, | |
"source": [ | |
"from rembg.bg import remove\n", | |
"import numpy as np\n", | |
"import io\n", | |
"from PIL import Image\n", | |
"\n", | |
"from PIL import ImageFile\n", | |
"ImageFile.LOAD_TRUNCATED_IMAGES = True\n", | |
"\n", | |
"input_path = name\n", | |
"output_path = 'rembg.png'\n", | |
"\n", | |
"f = np.fromfile(input_path)\n", | |
"result = remove(f)\n", | |
"img = Image.open(io.BytesIO(result)).convert(\"RGBA\")\n", | |
"img.save(output_path)" | |
], | |
"execution_count": null, | |
"outputs": [] | |
} | |
] | |
} |
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