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YOLOv8 Tracking and Counting
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In this project YOLOv8 (model S) and Kalman tracker is used to count number of nuts in dynamic moving scene.
This project was coded in C++ using OpenCV for evaluation and YOLO for detection. Training set consisted of 35 images of dense nut scenes with different scales and orientations of nuts.
The counting is possible in positive and negative direction.
This project was coded in C++ using OpenCV for evaluation and YOLO for detection. Training set consisted of 35 images of dense nut scenes with different scales and orientations of nuts.
The counting is possible in positive and negative direction.