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"info": {
"author": "Kentaro Wada",
"author_email": "www.kentaro.wada@gmail.com",
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"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Programming Language :: Python",
"Programming Language :: Python :: 2.7",
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"description": "fcn - Fully Convolutional Networks\n==================================\n\n[](https://pypi.python.org/pypi/fcn)\n[](https://pypi.org/project/fcn)\n[](https://github.com/wkentaro/fcn/actions)\n\nChainer implementation of [Fully Convolutional Networks](https://github.com/shelhamer/fcn.berkeleyvision.org).\n\n\nInstallation\n------------\n\n```bash\npip install fcn\n```\n\n\nInference\n---------\n\nInference is done as below:\n\n```bash\n# forwaring of the networks\nimg_file=https://farm2.staticflickr.com/1522/26471792680_a485afb024_z_d.jpg\nfcn_infer.py --img-files $img_file --gpu -1 -o /tmp # cpu mode\nfcn_infer.py --img-files $img_file --gpu 0 -o /tmp # gpu mode\n```\n\n![](\".readme/fcn8s_26471792680.jpg\")
\n\nOriginal Image: \n\n\nTraining\n--------\n\n```bash\ncd examples/voc\n./download_datasets.py\n./download_models.py\n\n./train_fcn32s.py --gpu 0\n# ./train_fcn16s.py --gpu 0\n# ./train_fcn8s.py --gpu 0\n# ./train_fcn8s_atonce.py --gpu 0\n```\n\nThe accuracy of original implementation is computed with (`evaluate.py`) after converting the caffe model to chainer one\nusing `convert_caffe_to_chainermodel.py`.\\\nYou can download vgg16 model from here: [`vgg16_from_caffe.npz`](https://drive.google.com/open?id=0B9P1L--7Wd2vRy1XYnRSa1hNSW8).\n\n**FCN32s**\n\n| Implementation | Accuracy | Accuracy Class | Mean IU | FWAVACC | Model File |\n|:--------------:|:--------:|:--------------:|:-------:|:-------:|:----------:|\n| [Original](https://github.com/shelhamer/fcn.berkeleyvision.org/tree/master/voc-fcn32s) | 90.4810 | 76.4824 | 63.6261 | 83.4580 | [`fcn32s_from_caffe.npz`](https://drive.google.com/uc?id=0B9P1L--7Wd2vTElpa1p3WFNDczQ) |\n| Ours (using `vgg16_from_caffe.npz`) | **90.5668** | **76.8740** | **63.8180** | **83.5067** | [`fcn32s_voc_iter00092000.npz`](https://drive.google.com/uc?0B9P1L--7Wd2vRTQzQl8xcUI5Uk0) |\n\n**FCN16s**\n\n| Implementation | Accuracy | Accuracy Class | Mean IU | FWAVACC | Model File |\n|:--------------:|:--------:|:--------------:|:-------:|:-------:|:----------:|\n| [Original](https://github.com/shelhamer/fcn.berkeleyvision.org/tree/master/voc-fcn16s) | 90.9971 | **78.0710** | 65.0050 | 84.2614 | [`fcn16s_from_caffe.npz`](https://drive.google.com/uc?id=0B9P1L--7Wd2vcnBiXzZTcG9FU3c) |\n| Ours (using `fcn32s_from_caffe.npz`) | 90.9671 | 78.0617 | 65.0911 | 84.2604 | [`fcn16s_voc_using_fcn32s_from_caffe_iter00032000.npz`](https://drive.google.com/uc?id=0B9P1L--7Wd2vNTFyZDlXel9ZZms) |\n| Ours (using `fcn32s_voc_iter00092000.npz`) | **91.1009** | 77.2522 | **65.3628** | **84.3675** | [`fcn16s_voc_iter00100000.npz`](https://drive.google.com/uc?id=0B9P1L--7Wd2vZ1ZUYTJhRkZ1WTg) |\n\n**FCN8s**\n\n| Implementation | Accuracy | Accuracy Class | Mean IU | FWAVACC | Model File |\n|:--------------:|:--------:|:--------------:|:-------:|:-------:|:----------:|\n| [Original](https://github.com/shelhamer/fcn.berkeleyvision.org/tree/master/voc-fcn8s) | 91.2212 | 77.6146 | 65.5126 | 84.5445 | [`fcn8s_from_caffe.npz`](https://drive.google.com/uc?id=0B9P1L--7Wd2vb0cxV0VhcG1Lb28) |\n| Ours (using `fcn16s_from_caffe.npz`) | 91.2513 | 77.1490 | 65.4789 | 84.5460 | [`fcn8s_voc_using_fcn16s_from_caffe_iter00016000.npz`](https://drive.google.com/uc?id=0B9P1L--7Wd2vdVpRN253el9fdzA) |\n| Ours (using `fcn16s_voc_iter00100000.npz`) | **91.2608** | **78.1484** | **65.8444** | **84.6447** | [`fcn8s_voc_iter00072000.npz`](https://drive.google.com/uc?id=0B9P1L--7Wd2vWG5MeUEwWmxudU0) |\n\n**FCN8sAtOnce**\n\n| Implementation | Accuracy | Accuracy Class | Mean IU | FWAVACC | Model File |\n|:--------------:|:--------:|:--------------:|:-------:|:-------:|:----------:|\n| [Original](https://github.com/shelhamer/fcn.berkeleyvision.org/tree/master/voc-fcn8s-atonce) | **91.1288** | **78.4979** | **65.3998** | **84.4326** | [`fcn8s-atonce_from_caffe.npz`](https://drive.google.com/uc?id=0B9P1L--7Wd2vZ1RJdXotZkNhSEk) |\n| Ours (using `vgg16_from_caffe.npz`) | 91.0883 | 77.3528 | 65.3433 | 84.4276 | [`fcn8s-atonce_voc_iter00056000.npz`](https://drive.google.com/uc?id=0B9P1L--7Wd2vcl9STGhJY1J4WUE) |\n\n![](\"examples/voc/.readme/fcn32s_iter00092000.jpg\")
![](\"examples/voc/.readme/fcn16s_iter00100000.jpg\")
![](\"examples/voc/.readme/fcn8s_iter00072000.jpg\")
\n\nLeft to right, **FCN32s**, **FCN16s** and **FCN8s**, which are fully trained using this repo. See above tables to see the accuracy.\n\n\nLicense\n-------\n\nSee [LICENSE](LICENSE).\n\n\n## Cite This Project\n\nIf you use this project in your research or wish to refer to the baseline results published in the README, please use the following BibTeX entry.\n\n```bash\n@misc{chainer-fcn2016,\n author = {Ketaro Wada},\n title = {{fcn: Chainer Implementation of Fully Convolutional Networks}},\n howpublished = {\\url{https://github.com/wkentaro/fcn}},\n year = {2016}\n}\n```",
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