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mick.yi's Projects

ace.pytorch icon ace.pytorch

非官方的Aggregation Cross-Entropy for Sequence Recognition实现

crnn.pytorch icon crnn.pytorch

crnn实现水平和垂直方向中文文字识别, 提供在3w多个中文字符训练的水平识别和垂直识别的预训练模型; 欢迎关注,试用和反馈问题... ...

cv-papers icon cv-papers

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与!!! 持续更新中... ...

grad-cam.pytorch icon grad-cam.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

hyperlpr icon hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

hypervid icon hypervid

开源移动端车型识别 Mobile Plateform Vehicle Identification Model

keras-ctpn icon keras-ctpn

keras复现场景文本检测网络CPTN: 《Detecting Text in Natural Image with Connectionist Text Proposal Network》;欢迎试用,关注,并反馈问题...

keras-faster-rcnn icon keras-faster-rcnn

keras实现faster rcnn,end2end训练、预测; 持续更新中,见todo... ;欢迎试用、关注并反馈问题

keras-imprinting icon keras-imprinting

论文Low-Shot Learning with Imprinted Weights 的keras 版简要实现;

keras-lbl-ivs icon keras-lbl-ivs

keras实现人证比对论文《Large-scale Bisample Learning on ID vs. Spot Face Recognition》的核心**; 当类别数非常大时(超过百万),GPU显存可能无法装载权重参数;可以使用支配原型概念,每个step将相关的类别一块训练,step开始时将当前mini-batch的类别原型权重加载到GPU中,而不用加载所有的类别权重参数; step结束时更新并保存当前训练类别的原型权重

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

notebook icon notebook

整理记录工作学习笔记,以前都用evernote记录,现在都迁移到github上,方便共享

numpy_neural_network icon numpy_neural_network

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层;以及图像分类案例及精调网络案例等,持续更新中... ...

ptam4ar icon ptam4ar

Parallel Tracking And Mapping fast特征点块匹配 Track Mapping线程

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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