基于Pytorch 中的拉普拉斯金字塔重建与细化语义分割+项目源码+文档说明+代码注释

### Laplacian-Pyramid-Reconstruction-and-Refinement-for-Semantic-Segmentation Repository contains code and models for the method described in: [Golnaz Ghiasi, Charless C. Fowlkes, "Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation", ECCV 2016](http://arxiv.org/abs/1605.02264) #### Requirements * pytorch >=0.3.0 * torchvision ==0.2.0 * Jupyter Notebook #### Datset * Pascal VOC #### Pre-trained models * Pre-trained models 32x [LINK](https://drive.google.com/open?id=12Anxqrr4-3tg_TAPHImdPv8cgk6LX_oN). * Pre-trained Full Model [LINK](https://drive.google.com/open?id=15DLqN3e6aCxXI81DQGu2oiWdJnOgeSl4). #### Usage * To use pre-trained model download it using the links above and store it in folder "Model". Now, these models can be used using Visualization Notebook. * For training the model just run the model LRRVGG16 Notebook. * Visualization of results of pretrained/trained model can be done using Visualization Notebook. #### Results    ````diff - Contributer: [Ashutosh Mishra, Shyam Nandan Rai] ````