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handpose icon handpose

A python program to detect and classify hand pose

hands-detection icon hands-detection

Hands video tracker using the Tensorflow Object Detection API and Faster RCNN model. The data used is the Hand Dataset from University of Oxford.

handtracking icon handtracking

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

heif icon heif

High Efficiency Image File Format

human-ai icon human-ai

Human related analysis based on image, including number of human, number of face, gender and age estimation

hyperlandmark icon hyperlandmark

基于深度学习106点人脸标定算法 Open Source Face Landmark

hypervid icon hypervid

移动端车型识别[Experimental] Mobile Plateform Vehicle Identification Model

imageenhancer icon imageenhancer

Image Enhancer to reduce noises, color image, or expand resolutions

img2code icon img2code

A neural network trained to generate html codes from webpage screenshots.

in-prestissimo icon in-prestissimo

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输:绝影】

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

ish icon ish

Linux shell for iOS

jvcr-3dlandmark icon jvcr-3dlandmark

Code for "Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization"

lab icon lab

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

lbp icon lbp

Local Binary Pattern algorithms.

libgdl icon libgdl

一个移动端跨平台的gpu+cpu并行计算的cnn框架(A mobile-side cross-platform gpu+cpu parallel computing CNN framework)

libheif icon libheif

libheif is a ISO/IEC 23008-12:2017 HEIF file format decoder and encoder.

lightfacenet icon lightfacenet

This tensorflow project is based on MobileFaceNet, which use SqueezeNet and ShuffleNet as stem CNN to improve speed.

lip_jppnet icon lip_jppnet

Code repository for Joint Body Parsing & Pose Estimation Network, T-PAMI 2018

mobilefacenet-mxnet icon mobilefacenet-mxnet

基于insightface训练mobilefacenet的调试步骤,更改模型后一层训练结果为99.683% in lfw and 96.717 in agedb. Now pls move to the new mobilefacenet-V2(http://github.com/qidiso/mobilefacenet-V2)

mobilefacenet-v2 icon mobilefacenet-v2

🔥improve the accuracy of mobilefacenet(insight face) reached 99.733 in the cfp-ff、 the 99.68+ in lfw,96.71+ in agedb30.🔥

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