{ "info": { "author": "Shivam Agrawal", "author_email": "shivam301296@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# BinaryPipe\n\nbinarypipe provides easy pipeline to use different binary format files in different Machine Larning models.\n\n#### Installation\n\n```bash\npip install binarypipe\n```\n\n### ImagePipe\n\nimagepipe provides utilities to use image datasets in ML models\n\n* import imagepipe\n\n```python\nfrom binarypipe import imagepipe as ip\n```\n\n* Load single image file\n\n```python\n# Load image\nimg= ip.load(\"path/image.jpg\")\n\n# Load in certain size\nimg= ip.load(\"path/image.jpg\", size= (400, 600))\n```\n\n* Load all images of folder as dataset\n\n```python\nX, y= ip.load_dataset(\"folder_path/\", 0)\n# X= (?, width, height, channel)\n# y is label \n```\n\n* Load multiple class images \n\n```python\nX, y= 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