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baozhiqiang1978's Projects

apneaecganalysis icon apneaecganalysis

This project includes preprocessing of APNEA-ECG database and a LSTM-RNN model for per-segment OSA detection.

arthas icon arthas

FPGA implementation of CNN accelerator for Object Detection

bilateralhistogramequalization icon bilateralhistogramequalization

This Matlab source code introduces Bilateral Histogram Equalization. We highly recommend reading the related paper 'BILATERAL HISTOGRAM EQUALIZATION FOR X-RAY IMAGE TONE MAPPING' <Tahani Madmad & Christophe De Vleeschouwer- IEEE ICIP 2019>, for a formal presentation this tone-mapping operator.

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-builder icon caffe-builder

CMake build scripts to automate building the Caffe library and its dependencies.

caffe-pretrained-model icon caffe-pretrained-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

caffe-yolov3 icon caffe-yolov3

A real-time object detection framework of Yolov3/v4 based on caffe

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

candock icon candock

尝试多种不同的深度神经网络结构(如LSTM,RESNET,DFCNN等)对单通道EEG进行自动化睡眠阶段分期.我们相信这些代码同时可以用于其他生理信号(如ECG,EMG等)的分类.希望这将有助于您的研究.

centertrack icon centertrack

Simultaneous object detection and tracking using center points.

cihp_pgn icon cihp_pgn

Code repository for Part Grouping Network, ECCV 2018

clahe icon clahe

MATLAB implementation of Contrast Limited Adaptive Histogram Equalization for mammography images

cnn-fpga-rtl icon cnn-fpga-rtl

The CNN architecture elements implemented with RTL approach in VHDL.

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

code icon code

Low-Light Image Enhancement with Semi-Decoupled Decomposition

colorimagedemosaicing icon colorimagedemosaicing

Color Image Demosaicing using Nearest Neighbor Interpolation, Linear Interpolation and Adaptive Gradient Interpolation

computer-vision-demosaicingimage icon computer-vision-demosaicingimage

in digital cameras the red, blue, and green sensors are interlaced in the Bayer pattern (Figure 2). The missing values are interpolated to obtain a full color image

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