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zhaoping's Projects

adnet icon adnet

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR 2017)

airsim icon airsim

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

autoware icon autoware

Open-source software for urban autonomous driving

bonnet icon bonnet

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

brahms icon brahms

Udacity's Self Driving Car Simulator (Challenge #2)

caffe icon caffe

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

caffe-cvprw15 icon caffe-cvprw15

:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

captchaprocess icon captchaprocess

This is a simple demo about processing Captcha image, which is in WPF interface.

carla icon carla

Open-source simulator for autonomous driving research.

ccv icon ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

cfnet icon cfnet

(CVPR'17) Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to achieve state-of-the-art performance in tracking, at high-speed.

characterness icon characterness

Code of "Characterness: An Indicator of Text in the Wild", IEEE Transcations on Image Processing

chinese_ocr icon chinese_ocr

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

clstm icon clstm

A small C++ implementation of LSTM networks, focused on OCR.

cntk icon cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

crnn icon crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

deep-anpr icon deep-anpr

Using neural networks to build an automatic number plate recognition system

deep_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

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

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