2 stable releases
| 1.1.0 | Feb 28, 2020 |
|---|---|
| 1.0.0 | Feb 25, 2020 |
#5 in #ply
95KB
2K
SLoC
City2BA
A collection of tools for generating synthetic bundle adjustment datasets.
Datasets can either be generated programatically via the library or using the included executables. When using SnavelyCameras, the coordinate system is -z forward, y up.
# Generate a problem from a 3D model
city2ba generate model.obj problem.bal --num-cameras 100 --num-points 200
# Add noise to the problem
city2ba noise problem.bal problem_noised.bal --drift-strength 0.001 --rotation-std 0.0001
# Generate a problem using a city block grid
city2ba synthetic problem.bal --blocks 4
# Convert a problem to a format for visualization
city2ba ply problem.bal problem.ply
Installation
First install embree (available at https://github.com/embree/embree). Then install cargo to build the code and dependencies (https://rustup.rs is the easiest way to get cargo).
To install the latest stable version run:
cargo install city2ba
To build the latest version run:
git clone https://github.com/tkonolige/city2ba.git
cd city2ba
cargo install --path .
Development
Build City2BA locally with:
git clone https://github.com/tkonolige/city2ba.git
cd city2ba
cargo build --release # release mode is recommended for performance
Run tests with:
cargo test
Executables can be run with:
cargo --release ARGS GO HERE
Dependencies
~11–15MB
~279K SLoC