{ "info": { "author": "xiaochus", "author_email": "", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# MobileNetV3\nA Keras implementation of MobileNetV3 and Lite R-ASPP Semantic Segmentation (Under Development).\n\nAccording to the paper: [Searching for MobileNetV3](https://arxiv.org/abs/1905.02244?context=cs)\n\n## Requirement\n- Python 3.6\n- Tensorflow-gpu 1.10.0 \n- Keras 2.2.4\n\n## Train the model\n\n The ```config/config.json``` file provide a config for training.\n\n### Train the classification\n\n**The dataset folder structure is as follows:**\n\n\t| - data/\n\t\t| - train/\n\t \t\t| - class 0/\n\t\t\t\t| - image.jpg\n\t\t\t\t\t....\n\t\t\t| - class 1/\n\t\t\t ....\n\t\t\t| - class n/\n\t\t| - validation/\n\t \t\t| - class 0/\n\t\t\t| - class 1/\n\t\t\t ....\n\t\t\t| - class n/\n\n**Run command below to train the model:**\n\n```\npython train_cls.py\n```\n\n## Acknowledgement\n\nThank [@fzyzcjy](https://github.com/fzyzcjy) for your help in this project.\n\n## Reference\n\n\t@article{MobileNetv3, \n\t title={Searching for MobileNetV3}, \n\t author={Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang Vijay Vasudevan, Quoc V. Le, Hartwig Adam},\n\t journal={arXiv preprint arXiv:1905.02244},\n\t year={2019}\n\t}\n\n\n## Copyright\nSee [LICENSE](LICENSE) for details.\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/xiaochus/MobileNetV3", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "mobilenet-v3", "package_url": "https://pypi.org/project/mobilenet-v3/", "platform": "", "project_url": "https://pypi.org/project/mobilenet-v3/", "project_urls": { "Homepage": "https://github.com/xiaochus/MobileNetV3" }, "release_url": "https://pypi.org/project/mobilenet-v3/0.1.4/", "requires_dist": null, "requires_python": "", "summary": "A Keras implementation of MobileNetV3.", "version": "0.1.4" }, "last_serial": 5629769, "releases": { "0.1.2": [ { "comment_text": "", "digests": { "md5": "eec758a26daba6dc7d93c10d5ebc4b68", "sha256": "70f27f65239e76bb28d189532eb0d734d266e3bb44cc5f6221875adbc790b517" }, "downloads": -1, "filename": "mobilenet_v3-0.1.2-py3-none-any.whl", "has_sig": false, "md5_digest": "eec758a26daba6dc7d93c10d5ebc4b68", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 18402, "upload_time": "2019-08-04T03:59:44", "url": "https://files.pythonhosted.org/packages/de/bc/4dd0aa7e426edf46a1af4f96341538123e9b3880d67846816f0c3bd73f78/mobilenet_v3-0.1.2-py3-none-any.whl" } ], "0.1.4": [ { "comment_text": "", "digests": { "md5": "b5bbdaa613d8a9a6ea051c72483267ed", "sha256": "0586a68d423ae0ce9c08cd3731f4731ce8fa0070fc0971684bd8aac27d724fc8" }, "downloads": -1, "filename": "mobilenet_v3-0.1.4-py3-none-any.whl", "has_sig": false, "md5_digest": "b5bbdaa613d8a9a6ea051c72483267ed", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 18403, "upload_time": "2019-08-04T04:19:46", "url": "https://files.pythonhosted.org/packages/67/45/c28efd9c4af58a2344c2c6816b6c4cbd32479cdb419b37d06e359150d6da/mobilenet_v3-0.1.4-py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "b5bbdaa613d8a9a6ea051c72483267ed", "sha256": "0586a68d423ae0ce9c08cd3731f4731ce8fa0070fc0971684bd8aac27d724fc8" }, "downloads": -1, "filename": "mobilenet_v3-0.1.4-py3-none-any.whl", "has_sig": false, "md5_digest": "b5bbdaa613d8a9a6ea051c72483267ed", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 18403, "upload_time": "2019-08-04T04:19:46", "url": "https://files.pythonhosted.org/packages/67/45/c28efd9c4af58a2344c2c6816b6c4cbd32479cdb419b37d06e359150d6da/mobilenet_v3-0.1.4-py3-none-any.whl" } ] }