Metadata-Version: 2.1
Name: torchfcn
Version: 1.9.5
Summary: PyTorch Implementation of Fully Convolutional Networks.
Home-page: https://github.com/wkentaro/pytorch-fcn
Author: Kentaro Wada
Author-email: www.kentaro.wada@gmail.com
License: MIT
Description: # pytorch-fcn
        
        [![PyPI Version](https://img.shields.io/pypi/v/torchfcn.svg)](https://pypi.python.org/pypi/torchfcn)
        [![Python Versions](https://img.shields.io/pypi/pyversions/torchfcn.svg)](https://pypi.org/project/torchfcn)
        [![Build Status](https://travis-ci.org/wkentaro/pytorch-fcn.svg?branch=master)](https://travis-ci.org/wkentaro/pytorch-fcn)
        
        PyTorch implementation of [Fully Convolutional Networks](https://github.com/shelhamer/fcn.berkeleyvision.org).
        
        
        ## Requirements
        
        - [pytorch](https://github.com/pytorch/pytorch) >= 0.2.0
        - [torchvision](https://github.com/pytorch/vision) >= 0.1.8
        - [fcn](https://github.com/wkentaro/fcn) >= 6.1.5
        - [Pillow](https://github.com/python-pillow/Pillow)
        - [scipy](https://github.com/scipy/scipy)
        - [tqdm](https://github.com/tqdm/tqdm)
        
        
        ## Installation
        
        ```bash
        git clone https://github.com/wkentaro/pytorch-fcn.git
        cd pytorch-fcn
        pip install .
        
        # or
        
        pip install torchfcn
        ```
        
        
        ## Training
        
        See [VOC example](examples/voc).
        
        
        ## Accuracy
        
        At `10fdec9`.
        
        | Model | Implementation |   epoch |   iteration | Mean IU | Pretrained Model |
        |:-----:|:--------------:|:-------:|:-----------:|:-------:|:----------------:|
        |FCN32s      | [Original](https://github.com/shelhamer/fcn.berkeleyvision.org/tree/master/voc-fcn32s)       | - | -     | **63.63** | [Download](https://github.com/wkentaro/pytorch-fcn/blob/63bc2c5bf02633f08d0847bb2dbd0b2f90034837/torchfcn/models/fcn32s.py#L31-L37) |
        |FCN32s      | Ours                                                                                         |11 | 96000 | 62.84 | |
        |FCN16s      | [Original](https://github.com/shelhamer/fcn.berkeleyvision.org/tree/master/voc-fcn16s)       | - | -     | **65.01** | [Download](https://github.com/wkentaro/pytorch-fcn/blob/63bc2c5bf02633f08d0847bb2dbd0b2f90034837/torchfcn/models/fcn16s.py#L14-L20) |
        |FCN16s      | Ours                                                                                         |11 | 96000 | 64.91 | |
        |FCN8s       | [Original](https://github.com/shelhamer/fcn.berkeleyvision.org/tree/master/voc-fcn8s)        | - | -     | **65.51** | [Download](https://github.com/wkentaro/pytorch-fcn/blob/63bc2c5bf02633f08d0847bb2dbd0b2f90034837/torchfcn/models/fcn8s.py#L14-L20) |
        |FCN8s       | Ours                                                                                         | 7 | 60000 | 65.49 | |
        |FCN8sAtOnce | [Original](https://github.com/shelhamer/fcn.berkeleyvision.org/tree/master/voc-fcn8s-atonce) | - | -     | **65.40** | [Download](https://github.com/wkentaro/pytorch-fcn/blob/63bc2c5bf02633f08d0847bb2dbd0b2f90034837/torchfcn/models/fcn8s.py#L177-L183) |
        |FCN8sAtOnce | Ours                                                                                         |11 | 96000 | 64.74 | |
        
        <img src=".readme/fcn8s_iter28000.jpg" width="50%" />
        Visualization of validation result of FCN8s.
        
        
        ## Cite This Project
        
        If 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.
        
        ```bash
        @misc{pytorch-fcn2017,
          author =       {Ketaro Wada},
          title =        {{pytorch-fcn: PyTorch Implementation of Fully Convolutional Networks}},
          howpublished = {\url{https://github.com/wkentaro/pytorch-fcn}},
          year =         {2017}
        }
        ```
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Description-Content-Type: text/markdown
