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Repository Summary
Checkout URI | https://github.com/safijari/sba_python.git |
VCS Type | git |
VCS Version | python-devel |
Last Updated | 2024-06-02 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
sba_python | 0.4.2 |
README
* Sparse Bundle Adjustment Library
Originally developed at Willow Garage as part of the vslam stack,
this library is currently used by =open_karto=. The python wrapper
currently only supports 2D mode and is being used as a backend for
[[https://github.com/safijari/mp-slam][=mp-slam=]].
* Simple usecase example
#+begin_src python
from sba_cpp import SPA2d, Node2d
import numpy as np
s = SPA2d()
"""
Test prep
start at x = 0, y = 0, yaw = 0 (0, 0, 0, 0)
start at x = 1, y = 1, yaw = 0 (1, 1.1, 1.1, 0)
start at x = 0, y = 1, yaw = 0 (2, 0.1, 1.1, 0)
"""
# x, y, yaw, node_id
s.add_node(0, 0, 0, 0)
s.add_node(1.1, 1.1, 0, 1)
s.add_node(0.1, 1.1, 0, 2)
# inverse of covariance
precision_matrix = np.identity(3)
# from_node_id, to_node_id, xdiff, ydiff, yawdiff, precision matrix
s.add_constraint(0, 1, 1.1, 1.1, 0, precision_matrix.tolist())
s.add_constraint(1, 2, -1.1, 0.1, 0, precision_matrix.tolist())
s.add_constraint(2, 0, -0.1, -1.1, 0, precision_matrix.tolist())
# the parameters below are
# max iterations, diagonal augmentation for LM
# use CSparse (set to True for the really fast version)
# initial tolerance for CG
# max iterations for some step in LM
s.compute(100, 1.0e-4, True, 1.0e-8, 50)
# The above values are defaults in the original c++ code and they work
# well there
for n in s.nodes:
print(n.x, n.y, n.yaw)
#+end_src
* Building with ROS 1
- Missing deps: openblas-dev, libsuitesparse-dev
- Change tag for pybind11 to v2.9.0, python versions that support ros1 do not work with latest pybind
CONTRIBUTING
No CONTRIBUTING.md found.
Repository Summary
Checkout URI | https://github.com/safijari/sba_python.git |
VCS Type | git |
VCS Version | python-devel |
Last Updated | 2024-06-02 |
Dev Status | DEVELOPED |
CI status | No Continuous Integration |
Released | UNRELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
sba_python | 0.4.2 |
README
* Sparse Bundle Adjustment Library
Originally developed at Willow Garage as part of the vslam stack,
this library is currently used by =open_karto=. The python wrapper
currently only supports 2D mode and is being used as a backend for
[[https://github.com/safijari/mp-slam][=mp-slam=]].
* Simple usecase example
#+begin_src python
from sba_cpp import SPA2d, Node2d
import numpy as np
s = SPA2d()
"""
Test prep
start at x = 0, y = 0, yaw = 0 (0, 0, 0, 0)
start at x = 1, y = 1, yaw = 0 (1, 1.1, 1.1, 0)
start at x = 0, y = 1, yaw = 0 (2, 0.1, 1.1, 0)
"""
# x, y, yaw, node_id
s.add_node(0, 0, 0, 0)
s.add_node(1.1, 1.1, 0, 1)
s.add_node(0.1, 1.1, 0, 2)
# inverse of covariance
precision_matrix = np.identity(3)
# from_node_id, to_node_id, xdiff, ydiff, yawdiff, precision matrix
s.add_constraint(0, 1, 1.1, 1.1, 0, precision_matrix.tolist())
s.add_constraint(1, 2, -1.1, 0.1, 0, precision_matrix.tolist())
s.add_constraint(2, 0, -0.1, -1.1, 0, precision_matrix.tolist())
# the parameters below are
# max iterations, diagonal augmentation for LM
# use CSparse (set to True for the really fast version)
# initial tolerance for CG
# max iterations for some step in LM
s.compute(100, 1.0e-4, True, 1.0e-8, 50)
# The above values are defaults in the original c++ code and they work
# well there
for n in s.nodes:
print(n.x, n.y, n.yaw)
#+end_src
* Building with ROS 1
- Missing deps: openblas-dev, libsuitesparse-dev
- Change tag for pybind11 to v2.9.0, python versions that support ros1 do not work with latest pybind
CONTRIBUTING
No CONTRIBUTING.md found.