nerf_homemade/poses/colmap_wrapper.py

71 lines
2.3 KiB
Python

import os
import subprocess
import logging
# $ DATASET_PATH=/path/to/dataset
# $ colmap feature_extractor \
# --database_path $DATASET_PATH/database.db \
# --image_path $DATASET_PATH/images
# $ colmap exhaustive_matcher \
# --database_path $DATASET_PATH/database.db
# $ mkdir $DATASET_PATH/sparse
# $ colmap mapper \
# --database_path $DATASET_PATH/database.db \
# --image_path $DATASET_PATH/images \
# --output_path $DATASET_PATH/sparse
# $ mkdir $DATASET_PATH/dense
def run_colmap(basedir, match_type):
"""Simple wrapper for COLMAP"""
logfile_name = os.path.join(basedir, 'colmap_output.txt')
logfile = open(logfile_name, 'w')
feature_extractor_args = [
'colmap', 'feature_extractor',
'--database_path', os.path.join(basedir, 'database.db'),
'--image_path', os.path.join(basedir, 'images'),
'--ImageReader.single_camera', '1',
#'--SiftExtraction.use_gpu', '0', # Use CPU only, comment to use GPU
]
logging.debug("Extracting features.")
feat_output = subprocess.check_output(feature_extractor_args, universal_newlines=True)
logfile.write(feat_output)
exhaustive_matcher_args = [
'colmap', match_type,
'--database_path', os.path.join(basedir, 'database.db'),
]
logging.debug("Matching features.")
match_output = subprocess.check_output(exhaustive_matcher_args, universal_newlines=True)
logfile.write(match_output)
p = os.path.join(basedir, 'sparse')
if not os.path.exists(p):
os.makedirs(p)
mapper_args = [
'colmap', 'mapper',
'--database_path', os.path.join(basedir, 'database.db'),
'--image_path', os.path.join(basedir, 'images'),
'--output_path', os.path.join(basedir, 'sparse'), # --export_path changed to --output_path in colmap 3.6
'--Mapper.num_threads', '16',
'--Mapper.init_min_tri_angle', '4',
'--Mapper.multiple_models', '0',
'--Mapper.extract_colors', '0',
]
logging.debug("Creating sparse map")
map_output = subprocess.check_output(mapper_args, universal_newlines=True)
logfile.write(map_output)
logfile.close()
logging.info("Finished running COLMAP. Logfile written in %s",
logfile_name)