DeepDreamX is standalone script I have developed to perform Inceptionism, it is also acts as a graphical user interface (GUI) that facilitates deep dream image processing, via one click image selection and result viewing. DeepDream, originally a project by Google, leverages the Caffe library developed by UC Berkeley to perform a Machine Learning technique known as Inceptionism.

Original Image	Inception

DeepDreamX provides a user-friendly interface to apply the deep dream algorithm to images, creating visually fascinating and dream-like renditions. The project builds upon Google's original deep dream concept and aims to make the process more accessible through a Python-based GUI image selection and also saving the original image and inception to project root folder with a generated result_viewer.html for easy observation.

git clone https://github.com/himanshuxd/DeepDreamX.git

pip install -r requirements.txt

python dreamify.py

To enhance the dream-like features of the images, you can tweak the iterations parameter in the Python script. The iterations variable in the existing script controls how many gradient ascent steps are taken during the dreaming process. For example

# Parameters for the inception process
step = 0.01  # Gradient ascent step size
iterations = 20  # Number of ascent steps per scale can be set to 50, 100 etc
max_loss = 15.0

• Advanced Guide to Inception v3

• DeepDream - a code example for visualizing Neural Networks

• Inceptionism: Going Deeper into Neural Networks

Contributions are welcome! If you have ideas for improvements or encounter issues, please open an issue or submit a pull request.

This project is licensed under the MIT License.