Desciption
In the digital age,the essence of classical art is revitalized through modern technology, offering new interpretations of ancient colors.As we deconstruct these masterpieces, the colors once fixed on the canvas are freed, moving beyond static time into a flowing order within pixels.
Colors are reorganized and moved from their original places, as if past art and memories are being reshaped by unseen forces through time. Floating and drifting in space like sand in the wind, they eventually form a new image.
This reassembly is not just a reflection on the past but a reinterpretation of culture, symbolizing the intersection of history and the contemporary, infusing art and memory with new life and meaning in its flow.
Technical implementation
We mannually collect the photos of gestures as our dataset. Then we use mediapipe the train our model in google colab and export the model file to be called in the web development. Additionally, we have configured the program to restart automatically if no gestures are detected for 30 seconds.Previously, I used JavaScript primarily for linking the backend and frontend in web development. However, in this project, I employed it to craft an artistic effect. The reimagined painting, sorted by color, was initially developed with Python and later brought to life dynamically using p5.js. This process introduced a challenge: transitioning from the original to the new painting. Real-time rendering was too sluggish, and my attempts to use hand detection to simulate swiping across the painting lacked elegance. Ultimately, the most effective solution was an unexpected method of transitioning the positions of the colors.
Sometimes, there is a significant gap between ideas and reality; it’s best to put them into practice...