<commit_before># Super-Resolution Convolutional Neural Network

This is our course project to reproduce and try to improve the Super-Resolution Convolutional Neural Network (SRCNN) from the paper [Image Super-Resolution Using Deep Convolutional Networks](https://arxiv.org/abs/1501.00092).

## Installation

A Python package `toolbox` is developed to facilitate our experiments. To install it along with all the dependencies, a conda environment is suggested to be created. If [GPU prerequisites for TensorFlow](https://www.tensorflow.org/install/install_sources#optional_install_tensorflow_for_gpu_prerequisites) are satisfied, the GPU version could be used

```bash
conda env create -f environment-gpu.yml
```

Otherwise, use the CPU version

```bash
conda env create -f environment.yml
```

The commands above create a conda environment `srcnn`, which could be activated by

```bash
source activate srcnn
```

## Examples

Check the [examples directory](examples).

## Team Members

* [<NAME>](https://github.com/JasonAn)
* [<NAME>](https://github.com/qobilidop)
* [<NAME>](https://github.com/Catus61)
* [<NAME>](https://github.com/jiacong1990)
* [<NAME>](https://github.com/xiongliyang219)

## See Also<commit_msg>Paraphrase<commit_after># Super-Resolution Convolutional Neural Network

This is our course project to reproduce and try to improve the Super-Resolution Convolutional Neural Network (SRCNN) from the paper [Image Super-Resolution Using Deep Convolutional Networks](https://arxiv.org/abs/1501.00092).

## Installation

A Python package `toolbox` is developed to facilitate our experiments. To install it along with all the dependencies, a conda environment is suggested to be created. If [GPU prerequisites for TensorFlow](https://www.tensorflow.org/install/install_sources#optional_install_tensorflow_for_gpu_prerequisites) are satisfied, use the GPU version

```bash
conda env create -f environment-gpu.yml
```

Otherwise, use the CPU version

```bash
conda env create -f environment.yml
```

The commands above create a conda environment `srcnn`, which could be activated by

```bash
source activate srcnn
```

## Examples

Check the [examples directory](examples).

## Team Members

* [<NAME>](https://github.com/JasonAn)
* [<NAME>](https://github.com/qobilidop)
* [<NAME>](https://github.com/Catus61)
* [<NAME>](https://github.com/jiacong1990)
* [<NAME>](https://github.com/xiongliyang219)

## See Also
{'fraction_non_alphanumeric': 0.11473380107304994, 'fraction_numerical': 0.014857614527445316, 'mean_word_length': 5.498659517426273, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, 'https://': 14, 'lorem ipsum': 0, 'www.': 2, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '3329610', 'n_tokens_mistral': 776, 'n_tokens_neox': 690, 'n_words': 235}