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...The project presents itself as a beta implementation, with current behavior depending heavily on processor performance, model accuracy, and screen conditions. It includes a simple object-detector interface so users can see how the system recognizes targets during testing. The repository describes a CPU-heavy version with limited GPU usage and notes plans for faster GPU-oriented improvements. Because it is designed around game targeting behavior, it should only be discussed and used in authorized, accessibility-focused, private, or noncompetitive environments.