Download Free Source Code of Game Control Using OpenCV and Numpy with Complete Tutorial. Use the Python openCV and Numpy libraries to monitor a steering wheel racing game. It offers you the feeling of futuristic driving. The panel is split in 4 sections, logically. When a certain color (in my case Blue) is observed in certain pieces it is considered a main click. Suppose Blue color has been identified at the top left of the panel, so a “A” key press is begun and the car turns left. The color boundaries were established using color.py, in which we defined Blue color range of HSV values. Directkeys.py file using key press and unlock function. To manage my project I use a MacOS and a Spyder. This application is compatible on every MacOS app. If you are using WindowsOS then the directkeys.py file could have been changed. You can download Source code & Tutorial Link given
Features:
- This system will track Your Real-Time Face movement
- This system work on your face moment like Right, Left, Up, Down
- Easy to Use
- easy to Understand
The Game Control Using OpenCV structure seamlessly integrates OpenCV, allowing real-time computer vision for game interaction. Therefore, the use of image processing algorithms, it interprets gestures, facial expressions, and motions, thereby revolutionizing gaming experiences. Consequently, this system translates visual inputs into game controls, fostering immersive and responsive gameplay.
Game Control Using OpenCV
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