Neural Style Transfer for Artistic Image Transformation
In the digital art and entertainment industry, there is a need for innovative tools that allow artists to apply distinct artistic styles to digital images, enhancing creative capabilities and engagement.
Description
Developed a Python script to automate the extraction of the most common colors from images, along with their industry-standard names and numbers.
Implemented Solution
Utilized image processing techniques to analyze images and extract a color palette. The solution allows users to interactively select colors and converts them into specific formats, providing industry names and codes.
Technologies Used
Python, OpenCV, Machine Learning Algorithms.
Results
Successfully automated the color palette extraction and identification process, enhancing workflow efficiency and accuracy.
Client Feedback
The automated color extraction tool has significantly improved our design process, offering precise palettes with industry-standard identifications.