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COLMAP Config
Trimmed from colmap_default.yaml. Same YAML format as the original β copy the block
below into a .yaml file to use it.
Removed on purpose: experiment block, all feature extraction/matching detail except the GPU switches, all input/output path blocks, Hydra settings. Paths must now be supplied by the caller (CLI override, or a wrapper config) β this file alone is not runnable.
# ββ Pipeline flags ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
random_seed: 0
# ββ Stage toggles (can also be driven by pipeline.yaml) βββββββββββββββββββββββ
run:
colmap_feat_extract_match: true
colmap_reconstruct: true
# ββ Feature extraction / matching βββββββββββββββββββββββββββββββββββββββββββββ
# GPU instead of CPU. All other extraction/matching options dropped -> COLMAP defaults.
feat_extract_match:
extraction:
device: cuda
matching:
use_gpu: true
# ββ Reconstruction ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# Priors are loaded as a STARTING POINT only, not frozen: COLMAP refines both poses
# and intrinsics during bundle adjustment and may move them away from the priors.
reconstruction:
mode: automatic # triangulate | automatic
load_prior_poses: true # automatic mode only: seed with known robot poses
load_prior_intrinsics: true # seed with known camera intrinsics
refine_intrinsics: true # keep true -> intrinsics stay free, not locked to prior
mapping_params:
min_focal_length_ratio: 0.1
max_focal_length_ratio: 10.0
max_extra_param: .inf
ba_local_max_num_iterations: 30
ba_local_max_refinements: 3
ba_global_max_num_iterations: 75
num_threads: 1
Notes for whoever runs this
mode: automaticis required for the pose priors.load_prior_posesis ignored intriangulatemode, per the original comment. Changingmodesilently drops the pose priors.- "Don't freeze" is
refine_intrinsics: true. Setting it tofalsepins intrinsics to the prior values, which is the opposite of what this config is for. ba_use_gpuis deliberately absent frommapping_paramsβ bundle adjustment is left to whatever the implementation defaults to. Only feature extraction and matching are pinned to GPU. Do not add aba_use_gpukey back in.