{ "info": { "author": "pracheer", "author_email": "pracheer_gupta@hotmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Operating System :: MacOS :: MacOS X", "Programming Language :: Python :: 2.7", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "MXNET -> CoreML Converter\n=========================\n\nThis tool helps convert MXNet models into `Apple CoreML `_ format which can then be run on Apple devices. You can find more information about tool on our `github `_ page.\n\nPrerequisites\n-------------\nThis package can only be installed on MacOS X since it relies on Apple's CoreML SDK. This tool can be run on MacOS 10.12 or higher though for running inferences on the converted model MacOS 10.13 or higher is needed (or for phones, iOS 11 or above).\n\nInstallation\n------------\nThe method for installing this tool follows the `standard python package installation steps `_. Once you have set up a python environment, run::\n\n pip install mxnet-coreml-converter\n\nThe package `documentation `_ contains more details on how to use coremltools.\n\nDependencies\n------------\nThis tool has the following dependencies:\n* pyyaml (3.12+)\n* mxnet (0.10.0+)\n* coremltools (0.5.1+)\n\nSample Usage\n------------\n\nIn order to convert, say a `Squeezenet model `_, with labels from `synset.txt `_, execute this ::\n\n mxnet_coreml_converter.py --model-prefix='squeezenet_v1.1' \\\n --epoch=0 --input-shape='{\"data\":\"3,227,227\"}' \\\n --mode=classifier --pre-processing-arguments='{\"image_input_names\":\"data\"}' \\\n --class-labels synset.txt --output-file=\"squeezenetv11.mlmodel\"\n\nMore Information\n----------------\n* `Github page for this tool `_\n* `MXNet framework documentation `_\n* `Apple CoreML `_\n\n\n", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/apache/incubator-mxnet/tree/master/tools/coreml", "keywords": "Apache MXNet Apple CoreML Converter Deep Learning", "license": "Apache 2.0", "maintainer": "", "maintainer_email": "", "name": "mxnet-coreml-converter", "package_url": "https://pypi.org/project/mxnet-coreml-converter/", "platform": "", "project_url": "https://pypi.org/project/mxnet-coreml-converter/", "project_urls": { "Homepage": "https://github.com/apache/incubator-mxnet/tree/master/tools/coreml" }, "release_url": "https://pypi.org/project/mxnet-coreml-converter/0.1.0a7/", "requires_dist": [ "coremltools", "mxnet", "pyyaml" ], "requires_python": "~=2.7", "summary": "Tool to convert MXNet models into Apple CoreML model format.", "version": "0.1.0a7" }, "last_serial": 4074967, "releases": { "0.1.0a6": [ { "comment_text": "", "digests": { "md5": "f88a256aaaf60719e6876b7a569a3a28", "sha256": "3e132a5df3830d3276382bc5720f4d2749f747e7b7ed93e8590422ac9e24d841" }, "downloads": -1, "filename": "mxnet_coreml_converter-0.1.0a6-cp27-cp27m-macosx_10_7_x86_64.whl", "has_sig": false, "md5_digest": "f88a256aaaf60719e6876b7a569a3a28", "packagetype": "bdist_wheel", "python_version": "cp27", "requires_python": "~=2.7", "size": 16872, "upload_time": "2017-08-24T01:41:12", "url": "https://files.pythonhosted.org/packages/f5/66/e3f04d50f74816647cc2b23d88d05a4ecbddd1804c053a31890468de8036/mxnet_coreml_converter-0.1.0a6-cp27-cp27m-macosx_10_7_x86_64.whl" } ], "0.1.0a7": [ { "comment_text": "", "digests": { "md5": "7a683540e1a0b0cdf446c827deb908d9", "sha256": "772abcb614d761e2d40f0dded25e994e739e4b172da97a118fcf1abc9b9c0a6f" }, "downloads": -1, "filename": "mxnet_coreml_converter-0.1.0a7-cp27-cp27m-macosx_10_7_x86_64.whl", "has_sig": false, "md5_digest": "7a683540e1a0b0cdf446c827deb908d9", "packagetype": "bdist_wheel", "python_version": "cp27", "requires_python": "~=2.7", "size": 17332, "upload_time": "2017-08-24T21:23:01", "url": "https://files.pythonhosted.org/packages/76/f4/eeeae0923ae68dd7cd6b3be5b5096fe8e8ecb058c59cec0af5604d5e98ca/mxnet_coreml_converter-0.1.0a7-cp27-cp27m-macosx_10_7_x86_64.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "7a683540e1a0b0cdf446c827deb908d9", "sha256": "772abcb614d761e2d40f0dded25e994e739e4b172da97a118fcf1abc9b9c0a6f" }, "downloads": -1, "filename": "mxnet_coreml_converter-0.1.0a7-cp27-cp27m-macosx_10_7_x86_64.whl", "has_sig": false, "md5_digest": "7a683540e1a0b0cdf446c827deb908d9", "packagetype": "bdist_wheel", "python_version": "cp27", "requires_python": "~=2.7", "size": 17332, "upload_time": "2017-08-24T21:23:01", "url": "https://files.pythonhosted.org/packages/76/f4/eeeae0923ae68dd7cd6b3be5b5096fe8e8ecb058c59cec0af5604d5e98ca/mxnet_coreml_converter-0.1.0a7-cp27-cp27m-macosx_10_7_x86_64.whl" } ] }