Initial commit

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*,cover
+.hypothesis/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# IPython Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# dotenv
+.env
+
+# virtualenv
+venv/
+ENV/
+
+# Spyder project settings
+.spyderproject
+
+# Rope project settings
+.ropeproject

LICENSE

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+MIT License
+
+Copyright (c) 2016 Drake Levy
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# FSRCNN-Tensorflow
+TensorFlow implementation of the Fast Super-Resolution Convolutional Neural Network (FSRCNN). This implements two models, FSRCNN which is more accurate and FSRCNN-s which is faster (approaches real-time performance). Based on this [project](http://mmlab.ie.cuhk.edu.hk/projects/FSRCNN.html).
+
+## Prerequisites
+ * TensorFlow
+ * Scipy version > 0.18 ('mode' option from scipy.misc.imread function)
+ * h5py
+ * PIL
+
+## Usage
+For training , `python main.py`
+Can specify epochs, learning rate,  `python main.py --epochs 10`
+<br>
+For testing, `python main.py --is_train False`
+
+To use FSCRNN-s over FSCRNN , `python main.py --fast True`
+
+Includes script expand_data.py which scales and rotates all the images in your training set to expand your dataset just like in the paper
+`python expand_data.py Train`
+
+## Result
+After training 15,000 epochs, I got similar super-resolved image to reference paper. Training time takes 12 hours 16 minutes and 1.41 seconds. My desktop performance is Intel I7-6700 CPU, GTX970, and 16GB RAM. Result images are shown below.<br><br>
+Original butterfly image:
+![orig](https://github.com/tegg89/SRCNN-Tensorflow/blob/master/result/orig.png)<br>
+Bicubic interpolated image:
+![bicubic](https://github.com/tegg89/SRCNN-Tensorflow/blob/master/result/bicubic.png)<br>
+Super-resolved image:
+![srcnn](https://github.com/tegg89/SRCNN-Tensorflow/blob/master/result/srcnn.png)
+
+## References
+* [tegg89/SRCNN-Tensorflow](https://github.com/tegg89/SRCNN-Tensorflow)
+<br>
+* [liliumao/Tensorflow-srcnn](https://github.com/liliumao/Tensorflow-srcnn) 
+<br>
+* [carpedm20/DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow)