* basic support for hloc (includes netvlad, super point, superglue in colmap), just a first test, not ready yet
* add exhaustive match option for hloc
* add command line option to choose the type of feature, matcher,...
* make hloc an optional dependency, update doc, and small bug fixes
* fix missing imports
* fix warnings, pylint,...
* fix overwrite previous commits
* fix import order from isort
* move find_tool_feature_matcher_combination to process_data_utils, add type hints and Args/Returns doc
* error message when no valid combination of sfm tool, feature type, and matcher
Co-authored-by: RandomPrototypes <delmotte_ar@yahoo.fr>
* start of mesh PR
* point cloud export mvp
* start of mesh PR
* point cloud export mvp
* Save out mesh. Poor quality atm
* reorganized mesh algorithms and specified CLI
* CLI reorg
* tsdf algorithm in progress
* debugging
* tsdf functional but camera distortion params not in
* playing with distortion params
* TSDF works but texture looks bad
* added trimesh
* moved to exporter
* removed files
* saving progress
* save texture image
* seems to work w/o barycentric
* barycentric start
* gap between triangles
* blocking out diagonal
* new barcentric and scaling
* meshing working. need to remove extra rows
* fixed triangle packing
* gitignore changes
* removed package
* fix Literal import
* comments
* update .mtl file
* poisson mesh with model output normals & resolved some PR comments on git
* starting docs. breaking up big function. todo: add xatlas
* xatlas and nvdiffrast working
* triangle_id
* progress on expensive texture coordinates method
* pytorch meshing works
* removing nvdiffrast
* remove trimesh
* cleanup
* few changes
* pred normals by default and add minimum additions to viewer
* fix cli in viewer
* add xatlas as dependency
* make point cloud more dense
* reverted viewer changes
* turn off normals by default
* fix docs
* finished todos on github
* remove xatlas
* xatlas
* black
Co-authored-by: Matt Tancik <tancik@berkeley.edu>
* launch_eval_blender.sh: fix script
- add shebang
- add -s option to launch a single job per GPU
- last GPU was ignored
- kill all subprocesses when script is terminated
* launch_train_blender.sh: fix script
- add -s option to launch a single job per GPU
- add -v option to use tensorboard instead of wandb
- set nerfacto options according to https://github.com/nerfstudio-project/nerfstudio/issues/806#issuecomment-1284327844
- use a single timestamp for all training jobs
- last GPU was ignored
- kill all subprocesses when script is terminated
- print the eval script command-line
* launch_eval_blender.sh: fix script
* Update benchmarking.md
* launch_train_blender.sh: add -s to eval command-line
* Update launch_train_blender.sh
* Update benchmarking.md
* Added Dockerfile to build docker image including all dependencies and nerfstudio, added description on how to user docker.
* Move docker description to Installation.md.
Co-authored-by: Nicolas Zunhammer <n.zunhammer@tum.de>
* Updating the script for downloading data
* Making update to config structure
* Updating documentation and colab
* Adding back the save directory
* Pushing an all flag for nerfstudio
* forgot to save some previous edits
* Add support for polycam
* Modify blur score
* Support processing zip and add undistort fallback
* Created using Colaboratory
* Update docs
* Update demo.ipynb
* Address comments
* fix lint
* documented coordinate conventions without a figure for now
* another sentence
* update frames docs
* explain intrinsics and extrinsics
* more comments
* fix build
* Update custom_dataset.md
Train with the given websocket-port:
```shell
ns-train nerfacto record3d-data --data {RECORD3D_CAPTURE_DIR/EXR_RGBD} --viewer.websocket-port 7007
```
Then I get `ns-train: error: unrecognized arguments: --viewer.websocket-port 7007`.
It is recommended to put `record3d-data` at the end of all arguments.
```shell
ns-train nerfacto --data {RECORD3D_CAPTURE_DIR/EXR_RGBD} --viewer.websocket-port 7007 record3d-data
```
* Update custom_dataset.md
Update
```
ns-train nerfacto nerfstudio-data --data {PROCESSED_DATA_DIR}
```
to
```
ns-train nerfacto --data {PROCESSED_DATA_DIR} nerfstudio-data
```
* alex/record3d_docs_add
* alex/record3d_docs_add
* link from dataparsers to custom_dataset added.
* images are now appearing
Co-authored-by: evonneng <evonne_ng@berkeley.edu>
