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sunjunlishi's Projects

3ddfa_v2 icon 3ddfa_v2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

4dface icon 4dface

Real-time 3D face tracking and reconstruction from 2D video

alexasmarthome icon alexasmarthome

Using amazon Alexa to send command to a Raspberry Pi based smart home server

amsoftmax icon amsoftmax

A simple yet effective loss function for face verification.

bitmap icon bitmap

C++ header file for representing bitmap images as a matrix of RGB pixels

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-model icon caffe-model

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

caffe-segmentation icon caffe-segmentation

Train/eval code for DilatedConv [Yu, ICLR'16], DeepLab-v2 [Chen, Arxiv'16], PSPNet [Zhao, CVPR'17]

caffe_cyclegan icon caffe_cyclegan

A Caffe/C++ implementation of Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

caffe_gan icon caffe_gan

This project uses GAN to implement gray image colorization

caffe_ocr icon caffe_ocr

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

caffelstm-ocr icon caffelstm-ocr

基于caffe的LSTM OCR案例，能够利用该案例完成序列的识别，包括验证码、车牌、身份证号码、地址等长序列动长的内容识别

casia icon casia

本解决方案完成了使用HOG特征和SVM分类器，在CASIA-NLPR【Institute of Automation of Chinese Academy of Sciences-National Laboratory of Pattern Recognition**科学院自动化研究所-模式识别国家重点实验室】提供的手写体汉字数据集上，进行了训练和分类预测，并完成了2013**手写体识别大赛的4项比赛任务。

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 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M

clm-framework icon clm-framework

CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.

ctpn icon ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network

dad-3dheads icon dad-3dheads

Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).

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