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wiki:object_detector_app [2022/10/07 12:28] vizycam |
wiki:object_detector_app [2022/10/13 15:18] vizycam [Overview] |
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===== Overview ===== | ===== Overview ===== | ||
- | The Object Detector detects 80 different common objects: bicycles, cars, motorcycles, airplanes, buses, traisn, trucks, boats, traffic lights, fire hydrants, stop signs, parking meters, benches, birds, cats, dogs, horses, sheep, cattle, elephants, bears, zebras, giraffes, backpacks, umbrellas, handbags, ties, suitcases, frisbees, skis, snowboards, sports balls, kites, baseball bats, baseball gloves, skateboards, surfboards, tennis rackets, bottles, wine glasses, cups, forks, knives, spoons, bowls, bananas, apples, sandwiches, oranges, broccoli, carrots, hot dogs, pizza, donuts, cake, chairs, couches, potted plants, beds, dining tables, toilets, tv's, laptops, computer mice, remotes, keyboards, cell phones, microwaves, ovens, toasters, sinks, refrigerators, books, clocks, vases, scissors, teddy bears, hair driers, and toothbrushes. | + | The Object Detector detects 80 different common objects: bicycles, cars, motorcycles, airplanes, buses, trains, trucks, boats, traffic lights, fire hydrants, stop signs, parking meters, benches, birds, cats, dogs, horses, sheep, cattle, elephants, bears, zebras, giraffes, backpacks, umbrellas, handbags, ties, suitcases, frisbees, skis, snowboards, sports balls, kites, baseball bats, baseball gloves, skateboards, surfboards, tennis rackets, bottles, wine glasses, cups, forks, knives, spoons, bowls, bananas, apples, sandwiches, oranges, broccoli, carrots, hot dogs, pizza, donuts, cake, chairs, couches, potted plants, beds, dining tables, toilets, tv's, laptops, computer mice, remotes, keyboards, cell phones, microwaves, ovens, toasters, sinks, refrigerators, books, clocks, vases, scissors, teddy bears, hair driers, and toothbrushes. |
It uses the recent [[https://ai.googleblog.com/2020/04/efficientdet-towards-scalable-and.html|EfficientDet]] convolutional neural network (CNN) detector implemented in the TensorFlow Lite framework. | It uses the recent [[https://ai.googleblog.com/2020/04/efficientdet-towards-scalable-and.html|EfficientDet]] convolutional neural network (CNN) detector implemented in the TensorFlow Lite framework. | ||
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Or you can ask it to show you pictures of the most recent detections (see [[#Text commands|Text commands]] below). One of the advantages of texting is that you can interact with your Vizy from practically anywhere as long as your Vizy has a network connection. It's also quick! | Or you can ask it to show you pictures of the most recent detections (see [[#Text commands|Text commands]] below). One of the advantages of texting is that you can interact with your Vizy from practically anywhere as long as your Vizy has a network connection. It's also quick! | ||
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- | === Configuring texting === | ||
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- | You will need to [[wiki:texting|set up texting]] to take advantage of this feature. Don't worry though -- it's easy, and it's totally free. 8-) | ||
=== Text commands === | === Text commands === |