DEEP-IMAGE-MATCHING

SIFT DISK IMAGES ORIENTATION DENSE WITH ROMA
SIFT SUPERGLUE

Multivew matcher for SfM software. Support both deep-learning based and hand-crafted local features and matchers and export keypoints and matches directly in a COLMAP database or to Agisoft Metashape by importing the reconstruction in Bundler format. Now, it supports both OpenMVG and MicMac. Feel free to collaborate!

While dev branch is more frequently updated, master is the default more stable branch and is updated from dev less frequently. If you are looking for the newest developments, please switch to dev.

Please, note that deep-image-matching is under active development and it is still in an experimental stage. If you find any bug, please open an issue.

Key features:

  • Multiview
  • Large format images
  • SOTA deep-learning and hand-crafted features
  • Support for image rotations
  • Compatibility with several SfM software
  • Support image retrieval with deep-learning local features
Supported Extractors Supported Matchers
✓ SuperPoint ✓ Lightglue (with Superpoint, Disk, and ALIKED)
✓ DISK ✓ SuperGlue (with Superpoint)
✓ ALIKE ✓ LoFTR
✓ ALIKED ☐ SE2-LoFTR
☐ Superpoint free ✓ Nearest neighbor (with KORNIA Descriptor Matcher)
✓ KeyNet + OriNet + HardNet8 ✓ RoMa
✓ ORB (opencv) ☐ GlueStick
✓ SIFT (opencv)
✓ DeDoDe
Supported SfM software
✓ COLMAP
✓ OpenMVG
✓ Agisoft Metashape
✓ Software that supports bundler format