Basketball Shot Tracking with Computer Vision in Python
Budget: $250 – $750 USD
Desenvolver um sistema de visão computacional em Python para rastrear os arremessos de basquete em tempo real. O sistema irá mapear o corpo do atleta em tempo real, identificar pontos-chave, como ombro, cotovelo, pulso, dedos, quadril, joelho e tornozelo, e avaliar o arremesso com base em critérios físicos. Também traçará uma linha adicional para indicar como o arremesso correto deveria ser executado.
Develop a Python-based computer vision system for real-time tracking of basketball shots. The system will map the athlete's body in real-time, identify key points such as the shoulder, elbow, wrist, fingers, hip, knee, and ankle, and evaluate the shot based on physical criteria. It will also draw an additional line to indicate how the correct shot should be executed.
Develop a Python-based computer vision system for real-time tracking of basketball shots. The system will map the athlete's body in real-time, identify key points such as the shoulder, elbow, wrist, fingers, hip, knee, and ankle, and evaluate the shot based on physical criteria. It will also draw an additional line to indicate how the correct shot should be executed.