Switch to file-based card + checksum table

README.md

@@ -13,15 +13,27 @@ tags:
 
 # xcalib A9 r02_s01 HDF5 caches
 
-Precomputed matching caches for **camera-LiDAR cross-modal matching** and **targetless extrinsic calibration**, built from the TUM Traffic / A9 `s110` intersection recording. Each HDF5 file stores per-frame camera images, LiDAR point clouds, object detections, and the camera-LiDAR match matrices used to train and evaluate the `xcalib` matcher front-end.
+Precomputed matching caches for **camera-LiDAR cross-modal matching** and
+**targetless extrinsic calibration**, built from the TUM Traffic / A9 `s110`
+intersection recording. Each HDF5 file stores per-frame camera images, LiDAR
+point clouds, object detections, and the camera-LiDAR match matrices used to
+train and evaluate the `xcalib` matcher front-end.
 
+<!-- public-only -->
 This dataset repo is public and accompanies the accepted xcalib paper.
+<!-- /public-only -->
 
 ## Dataset details
 
-- **Task:** associate 2D camera detections with 3D LiDAR detections without calibration targets, then recover the camera-LiDAR extrinsic `[R|t]` (`P = K [R|t]`) from confident matches.
+- **Task:** associate 2D camera detections with 3D LiDAR detections without
+  calibration targets, then recover the camera-LiDAR extrinsic `[R|t]`
+  (`P = K [R|t]`) from confident matches.
 - **Source:** derived from the **TUM Traffic / A9** dataset (`s110` intersection).
-- **Sensors (per frame):** two Basler cameras (`s110_camera_basler_south1_8mm`, `s110_camera_basler_south2_8mm`) and one LiDAR. Images are JPEG-encoded (decoded BGR to RGB); point clouds are XYZ in **meters**, in the same coordinate frame as the 3D boxes. Camera intrinsics are assumed known; `xcalib` solves only the extrinsic `[R|t]`.
+- **Sensors (per frame):** two Basler cameras
+  (`s110_camera_basler_south1_8mm`, `s110_camera_basler_south2_8mm`) and one
+  LiDAR. Images are JPEG-encoded (decoded BGR to RGB); point clouds are XYZ in
+  **meters**, in the same coordinate frame as the 3D boxes. Camera intrinsics
+  are assumed known; `xcalib` solves only the extrinsic `[R|t]`.
 
 ## Splits
 
@@ -43,7 +55,8 @@ This dataset repo is public and accompanies the accepted xcalib paper.
 | `labels/<sensor>/<frame>/camera_names` | bytes `[K]` | per-detection source camera (optional) |
 | `calibration` | n/a | optional; absent in matching-only caches |
 
-Bounding-box arrays are allocated with capacity and sliced by the `num_*` counts (`[0:K)` / `[0:M)`).
+Bounding-box arrays are allocated with capacity and sliced by the `num_*`
+counts (`[0:K)` / `[0:M)`).
 
 ## Usage
 
@@ -54,19 +67,14 @@ loader = load_dataset("a9_dataset_r02_s01", split="test")
 frame = loader[0]   # .image / .point_cloud / .bboxes_2d / .bboxes_3d / .match_matrix
 ```
 
-Install with `pip install xcalib`; the loader fetches the cache from the Hub on first use and caches it locally.
-
-## Files
-
-| split | file | SHA-256 |
-|---|---|---|
-| `train` | `a9_r02_s01_train.h5` | `1b98298911fcd9e64f8e1651d7a8165c23f9e4df74fe957cec4caf734c13ab09` |
-| `val` | `a9_r02_s01_val.h5` | `ba724986d6aef62e5834de97954098d4d3d8c0620bbb2ba82d271301f45ffbfa` |
-| `test` | `a9_r02_s01_test.h5` | `bab6e7527682549bd3c01c3f0630365692f1e8906361d19fa5842bf0393739de` |
+Install with `pip install xcalib`; the loader fetches the cache from the Hub on
+first use and caches it locally.
 
 ## License & upstream dataset
 
-Cache files are released under **CC BY-NC-ND 4.0**. They derive from the **TUM Traffic / A9** dataset; users must follow the upstream dataset's license terms. The `xcalib` source code is Apache-2.0.
+Cache files are released under **CC BY-NC-ND 4.0**. They derive from the
+**TUM Traffic / A9** dataset; users must follow the upstream dataset's license
+terms. The `xcalib` source code is Apache-2.0.
 
 ## Upstream citation
 
@@ -82,6 +90,7 @@ If you use these caches, please also cite the upstream A9 Intersection Dataset:
 }
 ```
 
+<!-- public-only -->
 ## Authors
 
 Lihao Guo, Jiahao Tang, Tam Bang, Tianya Zhang, Austin Harris, Mina Sartipi, Siyang Cao
@@ -100,3 +109,14 @@ Lihao Guo, Jiahao Tang, Tam Bang, Tianya Zhang, Austin Harris, Mina Sartipi, Siy
              https://github.com/radar-lab/xcalib},
 }
 ```
+<!-- /public-only -->
+
+<!-- BEGIN generated files table -->
+## Files
+
+| split | file | sha256 |
+|---|---|---|
+| `train` | `a9_r02_s01_train.h5` | `1b98298911fcd9e64f8e1651d7a8165c23f9e4df74fe957cec4caf734c13ab09` |
+| `val` | `a9_r02_s01_val.h5` | `ba724986d6aef62e5834de97954098d4d3d8c0620bbb2ba82d271301f45ffbfa` |
+| `test` | `a9_r02_s01_test.h5` | `bab6e7527682549bd3c01c3f0630365692f1e8906361d19fa5842bf0393739de` |
+<!-- END generated files table -->