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ns-process-data: fix image renaming for the --skip-colmap case (#1459)
* Fix ns-process-data with skip colmap * Fix docstring * Fix pylint problem * Change OrderedDict to dict
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@@ -587,6 +587,7 @@ def colmap_to_json(
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output_dir: Path,
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camera_model: CameraModel,
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camera_mask_path: Optional[Path] = None,
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image_rename_map: Optional[Dict[str, str]] = None,
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) -> int:
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"""Converts COLMAP's cameras.bin and images.bin to a JSON file.
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@@ -619,7 +620,10 @@ def colmap_to_json(
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c2w = c2w[np.array([1, 0, 2, 3]), :]
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c2w[2, :] *= -1
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name = Path(f"./images/{im_data.name}")
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name = im_data.name
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if image_rename_map is not None:
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name = image_rename_map[name]
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name = Path(f"./images/{name}")
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frame = {
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"file_path": name.as_posix(),
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@@ -24,7 +24,7 @@ from typing import List, Optional, Tuple
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import cv2
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import numpy as np
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from rich.console import Console
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from typing_extensions import Literal
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from typing_extensions import Literal, OrderedDict
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from nerfstudio.utils.rich_utils import status
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from nerfstudio.utils.scripts import run_command
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@@ -242,7 +242,7 @@ def copy_and_upscale_polycam_depth_maps_list(
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return copied_depth_map_paths
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def copy_images(data: Path, image_dir: Path, verbose) -> int:
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def copy_images(data: Path, image_dir: Path, verbose) -> OrderedDict[Path, Path]:
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"""Copy images from a directory to a new directory.
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Args:
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@@ -250,7 +250,7 @@ def copy_images(data: Path, image_dir: Path, verbose) -> int:
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image_dir: Path to the output directory.
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verbose: If True, print extra logging.
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Returns:
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The number of images copied.
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The mapping from the original filenames to the new ones.
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"""
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with status(msg="[bold yellow]Copying images...", spinner="bouncingBall", verbose=verbose):
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image_paths = list_images(data)
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@@ -259,9 +259,8 @@ def copy_images(data: Path, image_dir: Path, verbose) -> int:
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CONSOLE.log("[bold red]:skull: No usable images in the data folder.")
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sys.exit(1)
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num_frames = len(copy_images_list(image_paths=image_paths, image_dir=image_dir, verbose=verbose))
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return num_frames
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copied_images = copy_images_list(image_paths=image_paths, image_dir=image_dir, verbose=verbose)
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return OrderedDict((original_path, new_path) for original_path, new_path in zip(image_paths, copied_images))
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def downscale_images(image_dir: Path, num_downscales: int, folder_name: str = "images", verbose: bool = False) -> str:
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