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So that’s all for the T-Rex Game Bot utilizing OpenCV feature matching. We should conform to the fact that it’s not good but if we evaluate it to deep learning-based detection strategies, it’s way more efficient and easier to implement. Think about how much time it would have taken to prepare a mannequin just to detect the t-rex. Using function matching, we will remedy such issues with a bare minimal of changes. I hope this blogpost helped you perceive OpenCV Feature Matching and hinted you to some brilliant new concepts on its software.

To be able to keep away from the cactuses, the player needs to make the dinosaur leap over them by pressing the space or up arrow key. To dodge the second impediment (flying pterodactyls) the participant needs to make it duck, by pressing the down arrow key. When the dinosaur crashes into both obstacle, the game stops and displays the rating. Factors are earned for elapsed time in the game.