There are 8 repositories under edgetpu topic.
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI
This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.
Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
TensorFlow Lite, Coral Edge TPU samples (Python/C++, Raspberry Pi/Windows/Linux).
Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU
WHENet - ONNX, OpenVINO, TFLite, TensorRT, EdgeTPU, CoreML, TFJS, YOLOv4/YOLOv4-tiny-3L
ROS package for Coral Edge TPU USB Accelerator
Motion transfer booth for a 1 hour everybody dance now video generation using EdgeTPU and Tensorflow 2.0
Docker with Raspbian, SSH and the Coral USB Edge TPU libraries.
Neuralet edge deep learning models library. Neuralet is an open-source platform for edge deep learning models on GPU, TPU, and more.
Experimental Kubernetes Device Plugin for Coral Edge TPU
The products,docs,resources,software,tools,scripts,models,demos
BiSeNet V2 TensorFlow 2 Implementation capable of running on Edge TPUs
Prometheus Exporter for EdgeTPU Metrics
This project contains a set of scripts to facilitate the setup of the Jetson Nano for doing Deep Learning with Tensorflow 2.0 (and also with Coral TPU Edge)
some scripts I used to test Google's Edge TPU
m.2 B+M Coral TPU card for Raspberry Pi CM4
Just a simple Flask web app for Coral Edge TPU. For streaming and testing your object detection/classification models.
edgetpu-native from https://coral.googlesource.com/edgetpu-native
Google cloud edge TPU edgetpuvision research/learning repo
Basic Text2Image generation using a CNN designed for a coral tpu
Person detecting security camera monitor.
Face Recognition using Coral USB Accelerator, Flask and SocketIO.