| # Evaluation protocol |
|
|
| This document defines the public OVOW-Bench evaluator behavior. Changes that |
| affect any item below should update the protocol configuration and release |
| version. |
|
|
| ## Inputs |
|
|
| For every selected `sample_id`, the evaluator requires one GT scene and one |
| scene from every requested method. Supported scene files are `scene.blend`, |
| `scene.glb`, and `scene.gltf`. |
|
|
| The dataset is supplied separately with `--data_root`. That directory must |
| contain `gt/<sample_id>/scene.*` and `<model_name>/<sample_id>/scene.*`. |
|
|
| The track manifest is the source of truth for sample selection. A row can set |
| `geometry_frame_mode` explicitly. Otherwise a numeric `frame` becomes |
| `exact:<frame>`; rows without either field use `default_frame_mode`. |
|
|
| ## Geometry alignment |
|
|
| The release default is `bbox` alignment with `ground_policy=exclude`. |
| Alternative modes are exposed for ablations but must be reported when used: |
|
|
| - `identity`: no alignment; |
| - `bbox`: uniform scale and center translation from scene bounding boxes; |
| - `object_bbox`: scale and translation anchored by the best first-frame object |
| match; |
| - `depth_bbox`: depth-median scale with bounding-box translation; |
| - `depth_camera`: first-camera canonicalization and depth-median scale. |
|
|
| The evaluator stores the applied 4x4 transform for every sample and method. |
|
|
| ## Geometry metrics |
|
|
| Scene-IoU compares the union scene boxes under AABB and OBB representations. |
|
|
| Object matching is solved with the Hungarian algorithm using pairwise AABB IoU |
| as the assignment score. AABB and OBB IoU are then reported for the matched |
| pairs. Missing and extra objects are penalized with denominator |
| `max(gt_object_count, pred_object_count)`. |
|
|
| ## Rendered metrics |
|
|
| After geometry alignment, GT and prediction scenes are rendered with the GT |
| camera. Public defaults are 768x432 resolution, 32 render samples, and the |
| render engine specified in `configs/release_protocol.json`. |
|
|
| - `PL = 100 * mean((RGB_gt / 255 - RGB_pred / 255)^2)`. |
| - `N-CLIP = 10 * mean(1 - cosine(CLIP(pred), CLIP(gt)))`. |
|
|
| The CLIP encoder is `openai/clip-vit-base-patch32` by default. Features are L2 |
| normalized before cosine similarity. Both metrics are lower-is-better. |
|
|
| ## Aggregation and failures |
|
|
| The public evaluator uses an arithmetic mean over the selected sample rows. |
| All requested methods must cover the same selected rows. Missing geometry, |
| failed samples, or missing reports cause a non-zero exit by default. |
|
|
| `--allow_partial` exists only for debugging. Partial summaries include explicit |
| coverage and missing-pair records and are marked `complete: false`. |
|
|
| ## Cache validity |
|
|
| A cached sample report is reused only when its fingerprint matches the current |
| model list, frame mode, alignment, ground policy, Blender/CLIP arguments, |
| render settings, and input-scene size and modification time. |
|
|
