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hzq's Projects

arcface icon arcface

虹软的人脸识别V1.2、人证对比、活体检测封装

chineseocr_lite icon chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 , dbnet(1.7M) + crnn(6.3M) + anglenet(1.5M) 总模型仅10M

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

face_landmark icon face_landmark

A simple method for face alignment based on wingloss and mutitask learning :)

hands-on-machine-learning icon hands-on-machine-learning

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

micronet icon micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

ncnn_example icon ncnn_example

ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&&centerface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd

tensorrt icon tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

tensorrtx icon tensorrtx

Implementation of popular deep learning networks with TensorRT network definition APIs

text-detection-ocr icon text-detection-ocr

Chinese text detection and recognition based on CTPN + DENSENET using Keras and Tensor Flow,使用keras和tensorflow基于CTPN+Densenet实现的中文文本检测和识别

zqcnn icon zqcnn

一款比mini-caffe更快的Forward库,觉得好用请点星啊,400星公布快速人脸检测模型,500星公布106点landmark,600星公布人头检测模型,700星公布人脸检测套餐(六种pnet,两种rnet随意混合使用满足各种速度/精度要求),800星公布更准的106点模型

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