commands.emplace_back("spatial_matcher", &RunSpatialMatcher); commands.emplace_back("stereo_fusion", &RunStereoFuser); commands.emplace_back("transitive_matcher", &RunTransitiveMatcher); commands.emplace_back("vocab_tree_builder", &RunVocabTreeBuilder); commands.emplace_back("vocab_tree_matcher", ...
spatial_matcher:针对能够提供准确定位信息的图像,可以通过对应图像采集时的 GPS 信息从而仅匹配空间位置上相近的图像。 transitive_matcher:基于传递规则使用已有的特征匹配关系确定更完全的匹配图,即 A 与 B 匹配,B 与 C 匹配,那将直接匹配 A 和 C。 Custom Matching:通过 text 文件指定图像的匹配关系,如果是导入...
colmap spatial_matcher --database_path $OUTPUT_PATH/database.db --SiftMatching.gpu_index 0 --SiftMatching.use_gpu 1 --SiftMatching.num_threads 1 --SpatialMatching.is_gps=1 --SpatialMatching.max_distance 100 --SpatialMatching.max_num_neighbors 50 " Contributor tsattler commented Au...
Spatial Matching: This matching mode matches every image against its spatial nearest neighbors. Spatial locations can be manually set in the database management. By default, COLMAP also extracts GPS information from EXIF and uses it for spatial nearest neighbor search. If accurate prior location info...
Spatial locations can be manually set in the database management. By default, COLMAP also extracts GPS information from EXIF and uses it for spatial nearest neighbor search. If accurate prior location information is available, this is the recommended matching mode. Transitive Matching: This matching...
本文的目的是根据已知相机参数的blender模型,使用colmap进行稀疏重建和稠密重建。使用的blender数据是NeRF提供的synthetic数据集中的lego模型,其中的几张图片如下: 一、数据准备 文件夹应按如下层级组织: E:\rootpath├─created│ └─sparse│ +──cameras.txt│ +──images.txt│ +──points3D.txt├─dense├─...
最大128--out data\s2\transforms.json //生成transforms.json的位置--colmap_matcher exhaustive //colmap执行特征匹配feature matching时使用的算法名可选["exhaustive","sequential","spatial","transitive","vocab_tree"]--video_fps 10 //没看懂是干什么的,反正这个参数可以控制ffmpeg生成图片的数量,越大图片...
spatial_matcher stereo_fusion transitive_matcher vocab_tree_builder vocab_tree_matcher vocab_tree_retriever 在本地键入colmap gui,即可进入图形界面。 使用colmap进行三维重建 官方文档在此:Command-line Interface由于要在服务器上跑,用命令行更方便一些。图形界面的操作官方也有介绍:Graphical User Interface。
Add fast spatial verification to image retrieval module Add binary file format for sparse models by default. Old text format still fully compatible and possible conversion in GUI and CLI Add cross-platform little endian binary file reading and writing Faster and less memory hungry stereo fusion by...
parser.add_argument("--colmap_matcher", default="sequential", choices=["exhaustive","sequential","spatial","transitive","vocab_tree"], help="select which matcher colmap should use. sequential for videos, exhaustive for adhoc images")