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yehua
f6612e68fb
|
2 years ago | |
|---|---|---|
| PCGCv1-master | 2 years ago | |
| pytorch | 2 years ago | |
| results | 2 years ago | |
| tensorlayer | 2 years ago | |
| Lossy Point Cloud Geometry Compression via End-to-End Learning.pdf | 2 years ago | |
| PCGCv1算法性能比较.xlsx | 2 years ago | |
| PCGCv1算法说明.docx | 2 years ago | |
| README.md | 2 years ago | |
| 算法逻辑流程图.vsdx | 2 years ago | |
README.md
PCGCv1_yehua
PCGCv1, point cloud compression, deeplearning, hyper
文件结构
1.训练集文件：见数据集中的points64_part1.zip
2.测试集文件：见数据集中的testdata.zip
3.PCGCv1-master：作者原TensorFlow框架下算法程序和训练好的模型文件
4.pytorch：移植到pytorch框架下的算法程序和训练好的模型文件，训练日志
5.results：TF框架程序下测试的结果
6.tensorlayer：移植到tensorlayer框架下的算法程序和训练好的模型文件，训练日志
7.Lossy Point Cloud Geometry Compression via End-to-End Learning.pdf：作者算法论文
8.PCGCv1算法性能比较.xlsx：不同框架下算法性能指标测试结果
9.PCGCv1算法说明.docx：算法原理和移植过程分析与说明书
10.算法逻辑流程图.vsdx：算法程序逻辑流程图
环境依赖
详见《PCGCv1算法说明》
运行指令
详见《PCGCv1算法说明》
PCGCv1, point cloud compression, deeplearning, hyper
Text CSV Jupyter Notebook Python
