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TensorFlow Lite / Edge TPU Object detection samples.

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List of samples

Name Language Description Backend OS
Benchmark Python TensorFlow Lite Object detection benchmark with OpenCV. TensorFLow Lite (EdgeTPU delegate) Windows, Linux
Capture using PyCoral Python Object detection for camera or video capture using OpenCV and PyCoral API. PyCoral Windows, Linux
PiCamera using PyCoral Python Object detection for camera capture using PiCamera and PyCoral API. PyCoral Raspberry Pi
Capture using TensorFlow Lite Python Object detection for camera or video capture using OpenCV and TensorFlow Lite API. TensorFlow Lite (EdgeTPU delegate) Windows, Linux
C++ CMake C++ C++ CMake Project.
Object detection for camera or video capture using OpenCV and TensorFlow Lite API.
TensorFlow Lite (EdgeTPU delegate) Windows, Linux
VC++ Visual C++ Visual Studio 2019 (VC++) Sample.
TensorFlow Lite and TensorFlow Lite EdgeTPU delegate with Visual Studio.
TensorFlow Lite (EdgeTPU delegate) Windows

Models

Coral Edge TPU models

Coral Pre-compiled models

TensorFlow 1 Detection Model Zoo

This notebook converts the pre-trained model of "TensorFlow 1 Detection Model Zoo" into TF-Lite or Edge TPU Model.

Model Name Output model type
ssd_mobilenet_v2_coco INT8, EdgeTPU
ssd_mobilenet_v3_large_coco FP32
ssd_mobilenet_v3_small_coco FP32
ssd_mobilenet_v2_mnasfpn_coco FP32
ssdlite_mobiledet_cpu_coco FP32
ssdlite_mobiledet_edgetpu_coco INT8, EdgeTPU
ssd_mobilenet_edgetpu_coco INT8, EdgeTPU