
開啟
darknet
CUDA >= 10.2
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到OpenCV github下載OpenCV
點選tags
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創建兩個A跟B資料夾,模擬A和B兩位開發人員
開啟VSCode,新增hello.txt並輸入內容Hello!
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FFT spectrum amplitude using median filters with different kernel sizes
ex13_socre_median_filters.py
FFT spectrum amplitude using different filters, including median filter, moving average filter, and Laplacian filter.
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宽度学习系统(Broad Learning System, BLS)
load abalone; %for this data set NumFea= 6 NumWin=5 NumEnhan=41;
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creator-kit-fps
1. Open the Unity Hub
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I've studied roll-a-ball the last few days.
Today, I wanna learn another project. However, my Unity version, 2021.3, is mismatched with the required 2020.3. For that reason, I couldn't start learning @@.
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Unity is not as hard as I thought, although I am a newbie in this field. I believe my little step leads me to the future. After a day of playing in the Unity world for the first time. I felt great when I finished a small project. In this project, I tried to integrate EmguCV, which is a wrapped OpenCV for .net framework, into the Unity C# program and did a simple face detection. Each face's location represents an NBA player's position. For example, Stephen Curry is corresponding to face #0, Lebron James is face #1, and Ja Morant is face #2. As the video plays, all the NBA players can move to the locations according to their face numbers.
It's so fun for the beginner, isn't it?
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