[CVPR 2020]CasMVSNet_Paddle复现-人工智能-PHP中文网

[CVPR 2020]CasMVSNet_Paddle复现

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发布： 2025-07-23 11:27:04

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本文介绍CasMVSNet的复现情况。该网络用于多视图立体匹配任务，可估计场景密集深度以重建三维场景。文中涉及训练数据集解压、训练、测试数据集处理、测试及结果评估等步骤，复现的定量结果与原文接近，整体指标0.357，略高于原文的0.355，表明复现成功。

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[cvpr 2020]casmvsnet_paddle复现 - php中文网

1. CasMVSNet简介

来源：Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
项目意义：Mult-View Stereo（MVS）任务中旨在根据多视图输入估计场景的密集深度表示，从而重建三维场景。

2. 参考资料

CasMVSNet论文：Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
Pytorch代码：alibaba/cascade-stereo

3. 训练代码

3.1 解压训练数据集

In [2]

!rar x data/data129222/dtu_training.rar data/
!rm -rf data/data129222/dtu_training.rar 
!unzip -d data/mvs_training/dtu/Depths_raw data/data129777/Depths_raw1.zip!rm -rf data/data129777/Depths_raw1.zip !unzip -d data/mvs_training/dtu/Depths_raw data/data129777/Depths_raw2.zip!rm -rf data/data129777/Depths_raw2.zip '''
rar x data/data129222/dtu_training.rar data/
rm -rf data/data129222/dtu_training.rar 
unzip -d data/mvs_training/dtu/Depths_raw data/data129777/Depths_raw1.zip
rm -rf data/data129777/Depths_raw1.zip 
unzip -d data/mvs_training/dtu/Depths_raw data/data129777/Depths_raw2.zip
rm -rf data/data129777/Depths_raw2.zip 
'''

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RAR 5.30 beta 2   Copyright (c) 1993-2015 Alexander Roshal   4 Aug 2015
Trial version             Type RAR -? for help

Cannot open data/data129222/dtu_training.rar
没有那个文件或目录
No files to extract
unzip:  cannot find or open data/data129777/Depths_raw1.zip, data/data129777/Depths_raw1.zip.zip or data/data129777/Depths_raw1.zip.ZIP.
unzip:  cannot find or open data/data129777/Depths_raw2.zip, data/data129777/Depths_raw2.zip.zip or data/data129777/Depths_raw2.zip.ZIP.

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'\nrar x data/data129222/dtu_training.rar data/\nrm -rf data/data129222/dtu_training.rar \nunzip -d data/mvs_training/dtu/Depths_raw data/data129777/Depths_raw1.zip\nrm -rf data/data129777/Depths_raw1.zip \nunzip -d data/mvs_training/dtu/Depths_raw data/data129777/Depths_raw2.zip\nrm -rf data/data129777/Depths_raw2.zip \n'

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3.2 开始训练

In [ ]

cd /home/aistudio/work/CasMVSNet_paddle/
!python train.py --dataset=dtu_yao --trainpath /home/aistudio/data/mvs_training/dtu/ --testpath /home/aistudio/data/mvs_training/dtu/ --trainlist lists/dtu/train.txt --testlist lists/dtu/test.txt --batch_size 2

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4. 测试代码

4.1 解压测试数据集

In [ ]

!unzip -d data/ data/data129222/dtu_testing.zip

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4.2 安装测试所需的包

In [ ]

!pip install plyfile

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4.3 开始测试

In [ ]

cd /home/aistudio/work/CasMVSNet_paddle/
!python test.py --dataset=general_eval --batch_size=1 --testpath /home/aistudio/data/dtu_testing --testlist lists/dtu/test.txt --loadckpt ./log/model_000015.ckpt

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