Deep Learning Cat Prey Detector @Raspberry_Pi #PiDay #RaspberryPi
Having a cat is a lovely thing, but it comes with some tension. One of those tensions is the haunting thought that at any point your furry friend might bring you a prize in the form of a furry carcass. Here’s a fun project to detect when your cat’s about to bring you a prize. Here’s more from Raspberry Pi Blog:
Now this Raspberry Pi–powered machine learning build, shared by reddit user u/eee_bume, can help us out: at its heart, there’s a convolutional neural network cascade that detects whether a cat is trying to enter a cat flap with something in its maw. (No word from the creators on how many half-consumed rodents the makers had to dispose of while training the machine learning model.)
The neural network first detects the whole cat in an image; then it hones in on the cat’s maw. Image classification is performed to detect whether there is anything in or around the maw. If the network thinks the cat is trying to smuggle caught contraband into the house, it’s a “no” from this virtual door bouncer.
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