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        "author": "Abhinav Dadhich",
        "author_email": "abhinavvicku@gmail.com",
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        "description": "imfeatures\n===============================\n\nOverview\n--------\n\nMinimalistic python package to extract deep learning features from a wide variety of pretrained models in Pytorch.\n\n\nInstallation / Usage\n--------------------\n\nDependencies:\n\n- pytorch (v >= 1.0.0)\n- torchvision\n\n\nTo install use pip:\n\n    $ pip install imfeatures\n\n\nOr clone the repo:\n\n    $ git clone https://github.com/resbyte/imfeatures.git\n\n    $ python setup.py install\n\n\nExample\n-------\n\n- Imports \n\n```python\nimport imfeatures\nimport torch\n```\n\n- create feature extractor, here `resnet50`, with pretrained weights \n\n```python\nfeature_extractor = imfeatures.Features('resnet50',pretrained=True)\n```\n\n- random image of size `224x224x3` \n\n```python\nx = torch.randn([1,3,224,224])\n```\n\n- features\n\n```python \nfeatures = feature_extractor(x)\nprint(features.shape)\n```\n\nOutput features will be of shape : `[1, 2048, 1, 1]`\n\nAuthor\n-------\n\nAbhinav Dadhich\n\n",
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        "license": "BSD",
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        "name": "imfeatures",
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