lhxy1991

lhxy1991

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lhxy1991's repositories

android-valgrind

Instructions for automatically detect memory management, threading bugs and profile your Android applications in detail.

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BMI160_driver

Bosch Sensortec BMI160 sensor driver

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build-opencv-for-android

An interactive script to download and build OpenCV and OpenCV contrib for Android

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caffe

Caffe: a fast open framework for deep learning.

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caffe_yolov2

YOLOv2 object detection based on Caffe

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CARLA-Speed-Traffic-Sign-Detection-Using-Yolo

Final Master Thesis on how to detect CARLA Simulator's Traffic Speed Sign using YOLO v3 Neural Network for object detection

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CurvyMcLaneFace

Fitting a curve to traffic lanes in a video, MOOC class project.

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darknet

Convolutional Neural Networks

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ETH-MinerNDK

Eth gpu miner ndk with OpenCL on android

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KCF-Tracking

KCFcpp的Visual Studio2015版本

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libopencl-stub

A stub opecl library that dynamically dlopen/dlsyms opencl implementations at runtime based on environment variables. Will be useful when opencl implementations are installed in non-standard pahs

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MNN-LaneNet

Lane detection model for mobile device via MNN project

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MobileNet-Caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

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MobileNet-YOLO

A caffe implementation of MobileNet-YOLO detection network

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MobileNet-Yolo-1

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

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MTCNN-NCNN

Face detection and landmark implementation with mtcnn based on ncnn framework

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myGEMM

Code appendix to an OpenCL matrix-multiplication tutorial

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ncnn_mobileNet

deploy mobileNet on NCNN

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opencv_extra

OpenCV extra data

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OpenGL-ES

Learn OpenGL ES On Android

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sse2neon

Automatically exported from code.google.com/p/sse2neon

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Yolo-Fastest

:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB

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YoloOCLInference

An extremely light weight tiny-YOLO inference engine targeted towards OpenCL hardware.

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YOLOv2_trafficSign

Implementing Traffic Sign Detection and Classification based on YOLOv2 and it's modified versions

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