YOLOv3-tiny is a "lightweight" (so to speak) model of YOLOv3, optimized for higher FPS and work on devices like the Raspberry Pi, but it pays for its speed with accuracy. YOLOv3, for example, is more than 1000 times faster than R-CNN, and 100 times faster than Fast R-CNN. YOLO is often cited as one of the fastest architectures for deep learning-based object recognition, achieving a higher frame rate per second. YOLOv3 is optimized to recognize human-like entities well. To install OpenCV for Visual Studio 2019 use this guide Īimbot uses WinAPI functions to move the mouse cursor to the center of the area detected by the neural network each frame. You can train her on any of your favorite games. This is an undetected aimbot that works with the YOLOv3-tiny neural network object detection.
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