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tanshiheng's Projects

ai_uav icon ai_uav

在人工智能、机器视觉、高精度导航定位和多传感器融合等技术的助推下,众多行业迎来了前所未有的发展机遇,人工智能+无人机(AI+UAV)正是一个具有无限想象力的应用方向。杭州启飞智能科技有限公司深耕无人机及人工智能领域多年,拥有完善的软硬件平台、海量数据资源(飞行数据及农田地理信息数据)及众多资深专家团队,正在努力地开拓AI+UAV在科技+农业的行业应用,欢迎加入

approx-vision icon approx-vision

Designing image processing hardware and software for computer vision

autofocus icon autofocus

基于爬山法和块反差的相机对焦算法。

barcode_detection_benchmark icon barcode_detection_benchmark

Code for paper "New Benchmarks for Barcode Detection using both Synthetic and Real Data" (accepted on DAS2020); link will be available later)

caffe icon caffe

Caffe: a fast open framework for deep learning.

cbdnet_isp icon cbdnet_isp

ISP python code for generation near-realistic noisy sRGB images. (CBDNet)

cnndroid icon cnndroid

Open Source Library for GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android

co-vins icon co-vins

Collaborative Localization for Multiple Monocular Visual-Inertial Systems

cp11fall_project1 icon cp11fall_project1

Implementation of Edge-Preserving Multiscale Image Decomposition Based on Local Extrema

cqusbcam_linux icon cqusbcam_linux

采起电子的USB相机应用程序依赖的共享库工程源码以及应用程序示例

cycleisp icon cycleisp

Official repository for "CycleISP: Real Image Restoration via Improved Data Synthesis" (CVPR 2020--Oral)

d2l-zh icon d2l-zh

《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。

darknet icon darknet

Windows version of Yolo Convolutional Neural Networks

deepcl icon deepcl

OpenCL library to train deep convolutional neural networks

deepisp icon deepisp

Deep learning does image processing

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,近30万字。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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