Xieyangyang's repositories

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

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context_aug

Context-driven data augmentation for Object Detection (ECCV'18)

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Data_Augmentation_Zoo_for_Object_Detection

Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.

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EasyQuant

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

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HyperLandmark

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

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idcardgenerator

身份证图片生成工具 generate an id card picture

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kws

An End-to-End Architecture for Keyword Spotting and Voice Activity Detection

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learnopencv

Learn OpenCV : C++ and Python Examples

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LightNet

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

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ML-KWS-for-MCU

能够在移动端使用的关键词语音识别,其实用的是分类方法来完成的

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MobileNet-v2-pruning

Try out different pruning-approaches on lightweight Backbones.

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model-compression

model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for binary value of feature(A))

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ncnnqat

quantize aware training package for NCNN on pytorch

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photo2cartoon

人像卡通化探索项目 (photo-to-cartoon translation project)

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Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

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Semantic-Guided-Low-Light-Image-Enhancement

This is the official Pytorch implementation for our paper "Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement."

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SlimYOLOv3

This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications

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Stage

工程与学术笔记

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Stronger-yolo

Improve yolo with latest paper

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unsup-hard-negative-mining-mscoco

Repository for experiments on MSCOCO for Unsupervised Hard Example Mining from Videos for Improved Object Detection(https://arxiv.org/abs/1808.04285)

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YOLOv3-complete-pruning

提供对YOLOv3及Tiny的多种剪枝版本,以适应不同的需求。

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