This folder includes the implementation HR-SLAM (Heterogeneous Computing based Real-time SLAM), with the purpose of involving the start-of-the-art developments in Computer Vision.
GLP-v2
- PreFont: 简易前端
- BackEnd: 仅包含位姿图
- LearningApproaches: 包含一些深度学习相关的方法
- Tools: 包含一些零碎的、自己实现的代码
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/LearningApproaches/InstanceSegmentationRGBD
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Read Dataset
使用
CSVIter来产生DataIter. -
RGBD Data Fusion
Multi-layer, Multi-Scale Attention Based middle + late + early fusions.
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不知道怎么处理Instance Level ?
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该使用什么损失函数 ? 还是交叉熵 ?
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- 视觉SLAM十四讲
- Deep Learning
- 统计学习方法
- Multiple View Geometry in Computer Vision (Reading)
- 计算机视觉 模型、学习和推理
- 计算机视觉----一种现代方法
- 数字图像处理与机器视觉
- CUDA by Example
- Programming Massively Parallel Processors
- CUDA Best C Practice
- CUDA C Programming
- C++ Primer
- Effective C++
- C++编程规范
- 并行程序设计导论
- Algorithm
- Mxnet
- ORB-SLAM2
- Papers
- DOing
- TensorFlow实战
- TODO
- 深度探索C++对象模型
- 深入理解计算机系统
- State Estimation for Robotics
Any tutorials or suggestions can be sent to me by e-mail: HR-SLAM