lingyinhu's Projects
[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
Code for 'Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting' in ECCV2018
Download Caltech Pedestrian Dataset and convert them for Python users without using MATLAB
This is a toolkit that convert the Caltech dataset to VOC
A tool that converts CityPersons dataset into PASCAL VOC format.
Co-Fusion CRF图像分割 + ElasticFusion(RGBD-SLAM)
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019
cvpr2019 papers,极市团队整理
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
img data process for training
(最先进的缺陷检测网络) A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
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
List of Data Science Cheatsheets to rule the world
基于ORB-SLAM2修改 动态环境建模 dynamic environments for monocular, stereo and RGB-D setups
Real-time dense visual SLAM system
Faster R-CNN for pedestrian detection
Tools for using the Kinect One (Kinect v2) in ROS
Light-Head R-CNN
Config files for my GitHub profile.
Pedestrian Detection with Faster R-CNN in TensorFlow
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波
MOMN
Caffe implementation of our multi-scale object detection framework