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convert.py
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convert.py
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#
# Copyright (C) 2023, Inria
# GRAPHDECO research group, https://team.inria.fr/graphdeco
# All rights reserved.
#
# This software is free for non-commercial, research and evaluation use
# under the terms of the LICENSE.md file.
#
# For inquiries contact [email protected]
#
import os
from argparse import ArgumentParser
import shutil
# This Python script is based on the shell converter script provided in the MipNerF 360 repository.
parser = ArgumentParser("Colmap converter")
parser.add_argument("--no_gpu", action='store_true')
parser.add_argument("--skip_matching", action='store_true')
parser.add_argument("--source_path", "-s", required=True, type=str)
parser.add_argument("--camera", default="OPENCV", type=str)
parser.add_argument("--colmap_executable", default="", type=str)
parser.add_argument("--resize", action="store_true")
parser.add_argument("--magick_executable", default="", type=str)
args = parser.parse_args()
colmap_command = '"{}"'.format(args.colmap_executable) if len(args.colmap_executable) > 0 else "colmap"
magick_command = '"{}"'.format(args.magick_executable) if len(args.magick_executable) > 0 else "magick"
use_gpu = 1 if not args.no_gpu else 0
if not args.skip_matching:
os.makedirs(args.source_path + "/distorted/sparse", exist_ok=True)
## Feature extraction
os.system(colmap_command + " feature_extractor "\
"--database_path " + args.source_path + "/distorted/database.db \
--image_path " + args.source_path + "/input \
--ImageReader.single_camera 1 \
--ImageReader.camera_model " + args.camera + " \
--SiftExtraction.use_gpu " + str(use_gpu))
## Feature matching
os.system(colmap_command + " exhaustive_matcher \
--database_path " + args.source_path + "/distorted/database.db \
--SiftMatching.use_gpu " + str(use_gpu))
### Bundle adjustment
# The default Mapper tolerance is unnecessarily large,
# decreasing it speeds up bundle adjustment steps.
os.system(colmap_command + " mapper \
--database_path " + args.source_path + "/distorted/database.db \
--image_path " + args.source_path + "/input \
--output_path " + args.source_path + "/distorted/sparse \
--Mapper.ba_global_function_tolerance=0.000001")
### Image undistortion
## We need to undistort our images into ideal pinhole intrinsics.
os.system(colmap_command + " image_undistorter \
--image_path " + args.source_path + "/input \
--input_path " + args.source_path + "/distorted/sparse/0 \
--output_path " + args.source_path + "\
--output_type COLMAP")
files = os.listdir(args.source_path + "/sparse")
os.makedirs(args.source_path + "/sparse/0", exist_ok=True)
# Copy each file from the source directory to the destination directory
for file in files:
if file == '0':
continue
source_file = os.path.join(args.source_path, "sparse", file)
destination_file = os.path.join(args.source_path, "sparse", "0", file)
shutil.move(source_file, destination_file)
if(args.resize):
print("Copying and resizing...")
# Resize images.
os.makedirs(args.source_path + "/images_2", exist_ok=True)
os.makedirs(args.source_path + "/images_4", exist_ok=True)
os.makedirs(args.source_path + "/images_8", exist_ok=True)
# Get the list of files in the source directory
files = os.listdir(args.source_path + "/images")
# Copy each file from the source directory to the destination directory
for file in files:
source_file = os.path.join(args.source_path, "images", file)
destination_file = os.path.join(args.source_path, "images_2", file)
shutil.copy2(source_file, destination_file)
os.system(magick_command + " mogrify -resize 50% " + destination_file)
destination_file = os.path.join(args.source_path, "images_4", file)
shutil.copy2(source_file, destination_file)
os.system(magick_command + " mogrify -resize 25% " + destination_file)
destination_file = os.path.join(args.source_path, "images_8", file)
shutil.copy2(source_file, destination_file)
os.system(magick_command + " mogrify -resize 12.5% " + destination_file)
print("Done.")