Deepdreamer

DeepDreamer is an open-source Python tool that applies **neural network-based visual transformations** to images, creating surreal, dream-like, and artistic effects. It leverages pre-trained models like GoogLeNet to enhance patterns detected in images, producing psychedelic visuals. DeepDreamer is widely used by digital artists, designers, and AI enthusiasts for creative projects, GIFs, videos, and to visualize how neural networks interpret features in images.

Features of DeepDreamer:

• Transforms ordinary images into surreal, dream-like artwork using deep learning.
• Supports image, GIF, and video processing.
• Uses pre-trained neural networks like GoogLeNet for feature detection and enhancement.
• Helps visualize how neural networks perceive patterns and features.
• Open-source and easy to set up with Python virtual environments.
• Popular among artists, designers, and AI researchers for creative exploration.

To check the “version” of DeepDreamer on Ubuntu 24.04 (based on the latest Git commit), run these commands in your environment:

$ sudo su
$ cd /opt/deepdreamer
$ source /opt/deepdreamer-env/bin/activate
$ pip list | grep -E 'numpy|scipy|Pillow'

Note: DeepDreamer is not a pip-installable package, so it does not have a standard version number. The Git commit hash serves as the version identifier. Dependencies like numpy, scipy, and Pillow can be checked with pip list while the virtual environment is active.

Disclaimer: DeepDreamer is released under the MIT License and maintained by the open-source community. Users are responsible for correct usage and compliance with model licenses. Always refer to the official GitHub repository for the most accurate and up-to-date information.