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README
SLAM
This is my take at implementing monocular SLAM from a single lens video.
Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment.
It take any .mp4 video and construct a 3d cloud points from it in real time.
Run & Execute
python3 main.py
Use your mouse / trackpad to move the camera around
Core symbols most depended-on inside this repo
copycalled by 3
sources/slam.py
draw_lines
called by 3
sources/render.py
draw_lines
called by 3
tests/opengl.py
camera_pose_to_opengl
called by 2
sources/slam.py
update
called by 2
sources/render.py
update
called by 2
tests/opengl.py
render
called by 2
tests/opengl.py
render3dSpace
called by 2
tests/opengl.py
Shape
Languages
Python100%
Modules by API surface
sources/slam.py24 symbols
sources/render.py24 symbols
tests/opengl.py21 symbols
youtube_dl.py4 symbols
For agents
$ claude mcp add monocularSlam \
-- python -m otcore.mcp_server <graph>