Pinned repositories
Repositories
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Tengine
Tengine is a lite, high performance, modular inference engine for embedded device
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TengineKit
TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks SDK On Mobile.
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TFactory
TFactory is a fast, low-code algorithm landing solution.
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Tengine-Convert-Tools
Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.
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AutoKernel
AutoKernel 是一个简单易用,低门槛的自动算子优化工具,提高深度学习算法部署效率。
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TengineModels
tengine example models
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Tengine-app
This is a repository for applications powered by Tengine. Please feel free to try them on your device
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Caffe-HRT
Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.
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ObjectTracker
This object Tracker algorithm is a TLD(Long-term tracker) tracker base on KCF or DSST.
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FaceRecognition2
FaceRecognition2 is an implementation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenedCNN algorithm.
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FaceDetection
C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now
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TensorFlow-HRT
Heterogeneous Run Time version of TensorFlow. Added heterogeneous capabilities to the TensorFlow, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original TensorFlow architecture which users deploy their applications seamlessly.
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MXNet-HRT
Heterogeneous Run Time version of MXNet. Added heterogeneous capabilities to the MXNet, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original MXNet architecture which users deploy their applications seamlessly.
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CVGesture
It implements detection and recognition to different hand gestures, based on OpenCV 3.3.0 (Open Source Computer Vision Library)
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FaceRecognition
This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.
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SpeechRecognition
A local auto speech recognition project based on Kaldi and ALSA.
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AndroidCVDemo
An CV demo in Android, include Gesture recognition and Object traking
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AndroidFacedemo
An face recogniztion detect project on android based on CaffeOnACL
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YSQfastfd
A fast binary library for face detection and face landmark detection in images. No float point operations, especially suit for low cost Arm CPUs, The highest accuracy on FDDB among non deep learning methods
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