* Setting save_world_frame as False by default
Setting save_world_frame as False by default for the exporter as well as in the viewer, since it is exports the point cloud in a different coordinate system from the Blender add-on and there is not a similar checkbox in the original viewer, so by default the exported point cloud would not be compatible. This flag can still be set true in the cmd command and in the new viewer
Also updating the blender docs to mention support for gs scenes
* Adding splat export panel in viewer
Adding the splat option in the export panel which returns a basic splat export cmd. Also renaming the splat exports as splat.ply instead of point_cloud.ply
* Showing export panels based on method
If gaussian splatting is running, then the crop box, mesh, and point cloud exports are hidden/disabled. Else, all but splat export is visible.
* Fix pyright type check
* Changing viewer model argument for export panels
* Update export_panel.py
* Update export_panel.py
* Update export_panel.py
* Update exporter.py
* Update exporter.py
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Co-authored-by: Brent Yi <yibrenth@gmail.com>
* undistortion should not occur if pinhole (smoothes the images), and accordingly fix rounding of downscaled image size
* rounding downscaling, more consistent with other resizing methods in public datasets
* reverting to cpu image caching
* re-allow camera unimplemented
* compatibility with mask/depth
* reverted scale factor rounding, corrected mask undistort condition
* moved distortion_params update inside PERSPECTIVE type if-clause
* bumping opencv to 4.8, to deal with undistortion bug with distortion parameters of zero
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Co-authored-by: liorf <liorf@amazon.com>
Co-authored-by: alshan <alshan@amazon.com>
Co-authored-by: Justin Kerr <justin.g.kerr@gmail.com>
* Necessary changes to establish baseline as reported by papers
- Port multiple train/eval split strategies from nerfstudio parser for colmap parser
- A number of fixes to establish solid baseline
- Avoid empty frames where no gaussians are projected onto the image
- Fix random order of image filenames
* a few enhancement changes to bridge gap between Inria and NS
* Fix PLY exporter and implement an PLY renderer
* Add finite filter in ply exporter
* Major changes to improve nerfstudio-gs training
* separate sh_0 and sh_rest and use different learning rates, and remove sh_rest regularization.
* disable downscale in warm-up stages
* prune the original gaussians that splits.
* change color clamp_max mechanism to be applied per ray instead of per gaussian
* Enable exporter and gsplat_render to work with color only PLY
* Prepare PR with minor changes
* Fix pyright errors
* remove gsplat ply renderer
* Address github/pwais comments
* fix an evaluation metric bug
* Use 0.1 cull_alpha_threshold for fast training
* Add scale regularization as an option (off by default)
* add continue_cull_post_densification option and some refactor
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Co-authored-by: Matthew Tancik <matt@lumalabs.ai>
* add orthophoto CameraType.
* test case of orthophoto camera.
* Fix the rotation errors caused by the usage of left-handed system
* Optimized ortho-cam, it can be used with other camera models now.
* fix TypeError of coords in `test_multi_camera_type()`
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Co-authored-by: Alexander Kristoffersen <akristoffersen@berkeley.edu>
* Adding docs for Instruct-GS2GS
Adding documentation for Instruct-GS2GS including its page and adding it to the list of external and 3rd party methods.
* fixing blank formatting dev checks
* updating subtitle
Updating the subtitle to specify gaussian splatting
* Add instructions for using Spectacular AI tools
Adds easy support for new device types: OAK-D, RealSense and
Azure Kinect, as well as an alternative pipeline for iOS.
* Grammar fixes in docs/quickstart/custom_dataset.md (Spectacular AI section)
Co-authored-by: Matias Turkulainen <30566358+maturk@users.noreply.github.com>
* Fix section label in the Spectacular AI section of custom_dataset.md
* Update custom_dataset.md: typo fix.
"montions" -> "motions"
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Co-authored-by: Matias Turkulainen <30566358+maturk@users.noreply.github.com>
* Add support for Project Aria datasets.
1) An export script for processing Project Aria datasets
2) Add support for Fisheye624 cameras
3) Add support for center-crop masking and sampling
Example commands for running nerfstudio on Project Aria data:
python scripts/datasets/process_project_aria.py --vrs_file=<path_to_vrs> --mps_data_dir=<path to MPS directory> --output_dir=<nerfstudio_data_dir>
ns-train nerfacto --data <nerfstudio_data_dir> nerfstudio-data --orientation-method none
* Clean up type errors
* Fix formatting
* Fix linter errors, import, and use absolute file paths
* Add aria subcommand to ns-process-data
* Appease ruff
* Add Aria to docs
* Fix docs, add back import try/except
* nit: path.as_posix() -> str(path)
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Co-authored-by: Brent Yi <yibrenth@gmail.com>
* Fix large dataset (> 512 images) training in viewer_beta (#2586)
* fix index bug in update_camera_poses of viewer
* Set Ruff line lenth
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Co-authored-by: Gina Wu <42229107+ginazhouhuiwu@users.noreply.github.com>
* Update hloc and add new matcher types
* Update dockerfile comment to better reflect what the command is doing
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Co-authored-by: mfischer <michael.fischer@spleenlab.ai>
Cyrus Vachha
Brent Yi
Justin Kerr
Matias Turkulainen
Too Yuen MinandBrent Yi
Matthew Hoffman
SiN
hturki
Matthew TancikandJustin Kerr
Alexander KristoffersenandJustin Kerr
J.YandMatthew Tancik
Wei DingandAlexander Kristoffersen
Chung Min Kim
Ruilong Li(李瑞龙)
Abhik Ahuja
Zhuoyang Pan
Otto SeiskariandMatias Turkulainen
Rohan Mathur
Tobias FischerandMatias Turkulainen
Boris Feld
Chris SweeneyandBrent Yi
Mohit Motwani
Alexandru Kisandmfischer
omahs
AdamRashid96
Ethan WeberandBrent Yi
JoseandBrent Yi
