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September 2, 2024 13:42
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Reads keyframe poses from map data in sqlite3 format.
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#!/usr/bin/env python3 | |
import argparse | |
import sqlite3 | |
import struct | |
import numpy as np | |
def main(): | |
parser = argparse.ArgumentParser() | |
parser.add_argument("filepath", type=str) | |
args = parser.parse_args() | |
conn = sqlite3.connect(args.filepath) | |
cur = conn.cursor() | |
cur.execute('SELECT * FROM keyframes ORDER BY id') | |
for keyfrm in cur: | |
# See https://github.com/stella-cv/stella_vslam/blob/04f87d943ffcc5edf3e09c1a9d2a806ef4b762b4/src/stella_vslam/data/map_database.cc#L749-L759. | |
pose_cw_bytes = keyfrm[5] | |
pose_cw_vec = struct.unpack("<16d", pose_cw_bytes) | |
pose_cw = np.matrix(np.array(pose_cw_vec).reshape((4, 4)).T) | |
map_to_camera_affine_cv = np.linalg.inv(pose_cw) | |
with np.printoptions(suppress=True): | |
print(map_to_camera_affine_cv) | |
cur.close() | |
conn.close() | |
if __name__ == "__main__": | |
main() |
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Hi,
Thanks for the code here. I would like to ask, how to get poses from running stella vslam to sqlite3 format.
Thanks