DEMONSTRATION OF USER-INTERFACE DESIGNED FOR DATAVISION. FULLY CODED IN PYTHON RUNNING LOCALLY. THIS IS ROUND ONE OF GUI DESIGN I WILL BE ADDING MORE FEATURES AS DESCRIBED IN PROJECT OUTLINE. CURRENTLY THE THE SOFTWARE WORKS BY USING STATE OF THE ART YOLOV10 TO IDENTIFY OBJECTS. THESE OBJECT ARE THEN GIVEN DESCRIPTORS TO HUMANISE THE PROCESS OF MACHINE LEARNING DETECTION. REFERENCE IMAGES AND FUTHER TOOLS THAT ASSIST IN PEDAGOGY WILL BE IMPLEMENTED BEFORE THE END OF THE WEEK!!!
THE CALL – DATA DRIVEN EXHIBITION
“If all media is training data, including art, let’s turn the production of training data into art instead.”
– Holly Herndon & Mat Dryhurst
TODAY I VISITED THE CALL EXHIBITION IN THE SERPENTINE GALLERY. THE ARTISIT USED TRAINING DATA IN REAL TIME TO MATCH AUDIENCE PITCH AND TONE IN A MIC TO THAT OF REAL RECORDINGS OF TRAINED SINGERS. THE PITCH AND TONE WERE AUTONOMOUSLY SYNCED USING MACHINE LEARNING TO CREATE A NEO AUTOTUNE USING ML ALGORITHMS. THE GRAPHIC PROCESSING UNITS (GPU) RESPONSIBLE FOR THE PARALLEL PROCESSING WAS ERECTED AT THE CENTRE OF THE EXHIBITION AND ITS COOLING FANS INTRICATELY PLACES AHEAD OF WIND PIPE INSTRUMENTS TO CREATE A MAN-MADE-ARTIFICIAL-INTELLIGENT MUSIC. WAS THE SYMPHONY WHICH REVERBERATED THROUGH THE HALLS ARTIFICIAL OR NATURAL? OR WAS IT A TRANSHUMANISTIC EXPRESSION OF THE TWO. The simplicity brought me to tears. This EXHIBITION GAVE ME A FIRM REALITY CHECK TO THE STATE OF MY PROJECT WHICH I BELIEVE MIGHT BE TOO AMBITIOUS FOR TIME I HAVE LEFT. I WENT BACK TO A REFLECTIVE STATE TO IMPLORE A MORE STRATEGIC AND FOCUSED INTENTION USING DATAVISION