Maybe you have already heard of Google’s Coral Dev Board with Edge TPU and ask yourself how well it performs. We made a video to share our experience: https://youtu.be/bOYWx1jJCZo

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In the video, we tested an object detection live stream under the following conditions:

– a pretrained MobileNet v2 model, trained on the common objects in context (coco) dataset

– a bounding boxes threshold of 45% confidence because there were way too many boxes displayed in the default configuration

– a camera connected via USB, not the official camera from Coral

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We used this command to run the object detection server described above:

edgetpu_classify_server –source /dev/video1:YUY2:800×600:24/1 –model path/to/model/mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite –labels path/to/labels/coco_labels.txt –threshold=0.45

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You can find more demos to play around here:

https://coral.withgoogle.com/docs/dev-board/camera/

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We hope this example helps you to get started with your own project!

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If you have any idea, what we could build with it, let us know 🙂

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Paul