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YOLOv9 based and Computer vision techniques were applied to perform bird counting

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Bird-Counting-APP

YOLOv9 based and Computer vision techniques were applied to perform bird counting with complete GUI APP---------------------------> Extract and Install

Authorship

Dr. Ali Farhan PhD, CYCU, Taiwan. Email: smalifarhan@gmail.com

Correspondence

Prof. Chung-Der Hsiao Department of Bioscience Technology, CYCU, Taiwan. Email: cdhsiao@cycu.edu.tw

APP For Bird Counting with Windows Operating System Installation Guide

Figures_Bird Counting

Installation Requirements

System must have Graphical Processing Unit (GPU) NVIDIA with minimum RTX4070 capacity for faster execution Navigate Scripts folder and select Figures_Bird Counting Processing with CUDA configuration 12.4 version using Pytorch https://pytorch.org/ Figures_Bird Counting If CUDA not available then configure it from https://developer.nvidia.com/cuda-toolkit Capture

Output Metrics will be saved automatically after taking several minutes (depending on system)

confusion_matrix F1_curve val_batch2_pred PR_curve

Note

If CUDA Configuration would not become successful then GUI based APP would not work and will have to install modules manually using Requirement.txt in cmd

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YOLOv9 based and Computer vision techniques were applied to perform bird counting

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