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Contents

  1. Important Notes
  2. Info
  3. Install on Windows
  4. Stunning UI
  5. Development
  6. Credits

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Important notes

  1. This software is made for Windows and for Nvidia CUDA supported devices. If your graphics card isn't Nvidia CUDA supported, the software should still run fine. Instead of using your graphics card, the software will use your CPU.

  2. After opening the app, wait a moment before it opens. It will try to connect your GPU before displaying the user interface.

  3. After you pressed "Generate" try not to click inside the window or the program will "stop responding". This means the program is still running in the background, but you won't see the progress bar moving until it has finished.

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Info

The Deep Dream Generator has 4 functions:

1. Dream Images

Select one or more images to convert them to deep dream.

2. Dream Video

Select a video to convert it to a deep dream video.

3. Dream On

Select an image to create multiple deep dream frames with a stepped process to create the deep dream effect. These frames can later be converted to a video using the Images to Video function.

4. Images to Video

Select multiple frames to convert them to a video.

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Install on Windows

  1. Download the setup in the Releases section on the right.
  2. Run the setup and install the software.
  3. Run the app and wait a moment.

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Stunning UI

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Development

This section is only for development purposes of the app.

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1. Download Python

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To download Python, open Command Prompt and type in

python

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2. Download Anaconda

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Download here https://www.anaconda.com/products/individual

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3. Open Anaconda (Powershell Prompt) and run the following lines of code

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conda create -n tf_gpu_env python=3.9   
conda activate tf_gpu_env
conda install tensorflow-gpu -c anaconda
conda install cudnn -c conda-forge 
conda install cudatoolkit -c anaconda
conda install -c conda-forge opencv ffmpeg
conda install -c conda-forge matplotlib
conda install -c anaconda pillow
conda install -c conda-forge glob2

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4. Activate / Check if Tensorflow is running on your gpu

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python

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import tensorflow as tf
print('Num GPUs Available', len(tf.config.list_physical_devices('GPU')))
exit()

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5. Run the script

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python main.py

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Credits

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I have coded the rest of the code including the GUI. I also designed the GUI. I have learned Python just for this project, so to speak this is my first Python project.