mirror of
https://github.com/graphdeco-inria/gaussian-splatting
synced 2024-11-22 08:18:17 +00:00
85 lines
3.7 KiB
Python
85 lines
3.7 KiB
Python
import os
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from argparse import ArgumentParser
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import shutil
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# This Python script is based on the shell converter script provided in the MipNerF 360 repository.
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parser = ArgumentParser("Colmap converter")
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parser.add_argument("--no_gpu", action='store_true')
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parser.add_argument("--source_path", "-s", required=True, type=str)
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parser.add_argument("--camera", default="OPENCV", type=str)
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parser.add_argument("--colmap_executable", default="", type=str)
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parser.add_argument("--resize", action="store_true")
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parser.add_argument("--magick_executable", default="", type=str)
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args = parser.parse_args()
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colmap_command = '"{}"'.format(args.colmap_executable) if len(args.colmap_executable) > 0 else "colmap"
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magick_command = '"{}"'.format(args.magick_executable) if len(args.magick_executable) > 0 else "magick"
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use_gpu = 1 if not args.no_gpu else 0
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os.makedirs(args.source_path + "/distorted/sparse", exist_ok=True)
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## Feature extraction
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os.system(colmap_command + " feature_extractor "\
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"--database_path " + args.source_path + "/distorted/database.db \
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--image_path " + args.source_path + "/input \
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--ImageReader.single_camera 1 \
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--ImageReader.camera_model " + args.camera + " \
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--SiftExtraction.use_gpu " + str(use_gpu))
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## Feature matching
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os.system(colmap_command + " exhaustive_matcher \
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--database_path " + args.source_path + "/distorted/database.db \
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--SiftMatching.use_gpu " + str(use_gpu))
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### Bundle adjustment
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# The default Mapper tolerance is unnecessarily large,
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# decreasing it speeds up bundle adjustment steps.
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os.system(colmap_command + " mapper \
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--database_path " + args.source_path + "/distorted/database.db \
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--image_path " + args.source_path + "/input \
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--output_path " + args.source_path + "/distorted/sparse \
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--Mapper.ba_global_function_tolerance=0.000001")
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### Image undistortion
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## We need to undistort our images into ideal pinhole intrinsics.
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os.system(colmap_command + " image_undistorter \
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--image_path " + args.source_path + "/input \
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--input_path " + args.source_path + "/distorted/sparse/0 \
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--output_path " + args.source_path + "\
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--output_type COLMAP")
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files = os.listdir(args.source_path + "/sparse")
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os.makedirs(args.source_path + "/sparse/0", exist_ok=True)
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# Copy each file from the source directory to the destination directory
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for file in files:
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if file == '0':
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continue
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source_file = os.path.join(args.source_path, "sparse", file)
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destination_file = os.path.join(args.source_path, "sparse", "0", file)
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shutil.move(source_file, destination_file)
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if(args.resize):
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print("Copying and resizing...")
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# Resize images.
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os.makedirs(args.source_path + "/images_2", exist_ok=True)
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os.makedirs(args.source_path + "/images_4", exist_ok=True)
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os.makedirs(args.source_path + "/images_8", exist_ok=True)
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# Get the list of files in the source directory
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files = os.listdir(args.source_path + "/images")
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# Copy each file from the source directory to the destination directory
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for file in files:
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source_file = os.path.join(args.source_path, "images", file)
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destination_file = os.path.join(args.source_path, "images_2", file)
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shutil.copy2(source_file, destination_file)
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os.system(magick_command + " mogrify -resize 50% " + destination_file)
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destination_file = os.path.join(args.source_path, "images_4", file)
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shutil.copy2(source_file, destination_file)
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os.system(magick_command + " mogrify -resize 25% " + destination_file)
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destination_file = os.path.join(args.source_path, "images_8", file)
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shutil.copy2(source_file, destination_file)
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os.system(magick_command + " mogrify -resize 12.5% " + destination_file)
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print("Done.") |