| {
|
| "scene_id": "room",
|
| "scene_label": "Room",
|
| "scene_type": "indoor",
|
| "dataset": "Mip-NeRF 360",
|
| "dataset_page": "https://jonbarron.info/mipnerf360/",
|
| "pretrained_model_source": "Graphdeco official 3D Gaussian Splatting pretrained-model release, previously downloaded to this workspace.",
|
| "model_project_page": "https://github.com/graphdeco-inria/gaussian-splatting",
|
| "model_release_page": "https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/",
|
| "model_license_page": "https://github.com/graphdeco-inria/gaussian-splatting/blob/main/LICENSE.md",
|
| "license_status": "Consult the upstream dataset and Graphdeco license terms before redistribution or commercial use.",
|
| "reuse_method": "NTFS hard links for source images, COLMAP and model payloads; small camera/split metadata files are copied independently to isolate later edits.",
|
| "local_source": "D:\\3DGSData\\route_a\\01_sources\\mipnerf360\\room",
|
| "local_model": "D:\\3DGSData\\route_a\\02_pretrained\\room",
|
| "registered_cameras": 311,
|
| "images_subdir": "images_2",
|
| "colmap_directory": "sparse/0",
|
| "existing_working_manifest": {
|
| "scene_id": "room",
|
| "scene_type": "indoor",
|
| "dataset": "mipnerf360",
|
| "source_path": "D:\\3DGSData\\route_a\\01_sources\\mipnerf360\\room",
|
| "images_subdir": "images_2",
|
| "registered_cameras": 311,
|
| "train_cameras": 272,
|
| "test_cameras": 39,
|
| "camera_format": "Graphdeco-compatible c2w; cx/cy added",
|
| "model_status": "pretrained",
|
| "preprocessing_status": "ready for current stage"
|
| },
|
| "pretrained_model": {
|
| "iteration": 30000,
|
| "ply": "point_cloud/iteration_30000/point_cloud.ply",
|
| "gaussian_count": 1593376,
|
| "training_status": "previously downloaded and locally verified; no retraining performed in this task"
|
| },
|
| "delivery_metadata": {
|
| "photo_count": 311,
|
| "camera_count": 311,
|
| "scene_bytes": 809777992,
|
| "preview_files": [
|
| "previews/preview_01.jpg",
|
| "previews/preview_02.jpg",
|
| "previews/preview_03.jpg",
|
| "previews/preview_04.jpg"
|
| ],
|
| "preview_selection": "four evenly spaced images selected only from train.txt; test images were not used",
|
| "known_limitations": [
|
| "Pretrained public release; the exact upstream training command may not have been provided.",
|
| "Inspect boundary floaters, reflective/transparent surfaces and thin geometry before freezing experimental ROIs."
|
| ],
|
| "suggested_instance_rois": [
|
| "??",
|
| "??",
|
| "????"
|
| ],
|
| "reference_training_command": "python train.py -s . -m <output_dir> --eval --iterations 30000",
|
| "qa_scope": "automated structural validation; suggested ROIs require project-team visual confirmation"
|
| }
|
| } |
