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today Iamp;#39;ll be demonstrating our submission to the visual way quirks challenge this challenge was whether we can detect if thereamp;#39;s a person or not a person in a given image however this runs on an IOT device and has to fit enough very tight computational budget the model had to be under 250 kilobytes run at less than 250 kilobytes of peak memory usage and have less than 60 million multiply ads in todayamp;#39;s video Iamp;#39;ll be demonstrating our model on two platforms the Raspberry Pi and of Google pixel 3 so if out further ado letamp;#39;s start with the demos for our first demo letamp;#39;s take a look at the visual wakeboards model deployed to the Raspberry Pi 4 which is a very affordable device coming in at only $35 our model is able to achieve 94.5 80% accuracy after quantization so letamp;#39;s see the model in action so currently though Iamp;#39;ve cam stop pointing at anything so thereamp;#39;s no person detected but if I move into the frame immediatel
