From the course: Computer Vision on the Raspberry Pi 4
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From the course: Computer Vision on the Raspberry Pi 4
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- [Instructor] Ten Years ago, the idea of performing real-world machine learning on a single board computer was unheard of. But the Raspberry Pi is so powerful that applications can capture images from a camera, compute histograms of oriented gradients, and then execute convolutional neural networks. This course has explained how to use these capabilities to detect and recognize objects. I've presented a few different methods of machine learning. But the subject is far more extensive than what I've described here. New research papers are released every day. And if you're interested in pursuing object detection and recognition, I strongly recommend that you look into advanced methods. Like the Scale-invariant feature transform or SIFT. And You only look once, or YOLO detection. You can find thousands of machine learning papers for free by looking through archive.org. You can also learn more about the Open CV Library at…
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