# Installation

## Download Prebuilt Binaries
You can download the latest release [here](https://github.com/deeppomf/DeepCreamPy/releases/latest) or find all previous releases [here](https://github.com/deeppomf/DeepCreamPy/releases).
Binary only available for Windows 64-bit.

## Run Code Yourself
If you want to run the code yourself, you can clone this repo and download the model from https://drive.google.com/open?id=1IMwzqZUuRnTv5jcuKdvZx-RZweknww5x. Unzip the file into the /models/ folder.

If you want access to older models, see https://drive.google.com/open?id=1_A0xFeJhrqpmulA6cC-a7RxJoQOD2RKm.

## running the code using Docker

Once the input images and model have been placed in `decensor_input` and `models` respectively,
the code can be run in the command line using docker (or podman), to avoid managing dependencies manually.

to build the container image use the command:
```
docker build -t deepcreampy .
```

then to desensor bar censors run the following command:
```
docker run --rm -v $(pwd)/models:/opt/DeepCreamPy/models -v $(pwd)/decensor_input:/opt/DeepCreamPy/decensor_input -v $(pwd)/decensor_output:/opt/DeepCreamPy/decensor_output deepcreampy
```

to desensor mosaics run the following command:
```
docker run --rm -v $(pwd)/models:/opt/DeepCreamPy/models -v $(pwd)/decensor_input:/opt/DeepCreamPy/decensor_input -v $(pwd)/decensor_input_original:/opt/DeepCreamPy/decensor_input_original -v $(pwd)/decensor_output:/opt/DeepCreamPy/decensor_output deepcreampy --is_mosaic=true
```

the contents of `decensor_input` and `decensor_input_original` are explained in the [decensoring tutorial](USAGE.md).

### Dependencies (for running the code yourself)
- Python 3.6.7
- TensorFlow 1.14
- Keras 2.2.4
- Pillow
- Scipy
- OpenCV

No GPU required! Tested on Ubuntu 16.04 and Windows. Tensorflow on Windows is compatible with Python 3 and not Python 2. Tensorflow is not compatible with Python 3.7.

Tensorflow, Keras, Pillow, and h5py can all be installed by running in the command line

```
$ pip install -r requirements.txt
```

## Run Code Yourself on CPUs that don't support AVX instructions

CPUs that don't support AVX instructions may experience this error when using the above install instructions:

```
ModuleNotFoundError: No module named '_pywrap_tensorflow_internal'
```

Follow these alternate install instructions if that happens:

1. Start from a clean Python 3.6.7 install.
2. Download a version of tensorflow that does not support AVX instructions from (https://github.com/fo40225/tensorflow-windows-wheel/tree/master/1.10.0/py36/CPU/sse2). I assume you picked tensorflow-1.10.0-cp36-cp36m-win_amd64.whl for 64-bit and the other for 32-bit computers.
3. Open the command line in the same directory as the file downloaded in step 2. Run

```
pip install tensorflow-1.10.0-cp36-cp36m-win_amd64.whl
```

or

```
pip install tensorflow-1.10.0-cp36-cp36m-win32.whl
```
depending on what you installed in step 2.

4. Open the command line in the directory of "DeepCreamPy-master" and run
```
pip install -r requirements.txt
```

Instructions are from https://github.com/deeppomf/DeepCreamPy/issues/26#issuecomment-434043166.