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Document code utilities

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  1. README.md +12 -0
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@@ -70,6 +70,7 @@ SP-TransientBench/
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  |-- Reconstruction/ multi-view reconstruction scene archives
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  |-- Annotations/ semantic annotation archives
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  |-- Histgram/ semantic-track raw histograms and depth maps
 
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  `-- config/ SPL calibration, extrinsics, parsing settings, and IRF data
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  ```
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@@ -150,6 +151,16 @@ Histgram/
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  Inside each sequence archive, semantic labels are stored as `.npy` arrays named like `RawDataHistogramMap_frame_*_semantic.npy`. Each array has shape `(49152, 672)`, where `49152 = 256 x 192`, and stores `uint8` semantic ids with `0` for unlabeled/background bins and `1-13` for semantic classes.
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  ## Task Details
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  ### Depth Estimation
@@ -199,6 +210,7 @@ The annotation pipeline identifies dominant peaks, assigns semantic labels to pe
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  | `Reconstruction/` | Scene packages for sparse-view SPL reconstruction and novel-view evaluation |
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  | `Annotations/` | Histogram-domain semantic label packages for `27` sequences |
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  | `Histgram/` | Raw histogram packages and sequence-level depth maps for the semantic track |
 
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  | `config/config.yaml` | SPL intrinsics, distortion coefficients, temporal bin width, image size, and parsing settings |
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  | `config/IRF_global.csv` | Global instrument response function (IRF) measurements for transient calibration and analysis |
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  | `config/final_extrinsic_sp_to_livox.txt` | SPL-to-Livox extrinsic calibration used for cross-sensor alignment |
 
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  |-- Reconstruction/ multi-view reconstruction scene archives
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  |-- Annotations/ semantic annotation archives
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  |-- Histgram/ semantic-track raw histograms and depth maps
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+ |-- codes/ annotation, point-cloud conversion, simulation, and reconstruction tools
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  `-- config/ SPL calibration, extrinsics, parsing settings, and IRF data
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  ```
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  Inside each sequence archive, semantic labels are stored as `.npy` arrays named like `RawDataHistogramMap_frame_*_semantic.npy`. Each array has shape `(49152, 672)`, where `49152 = 256 x 192`, and stores `uint8` semantic ids with `0` for unlabeled/background bins and `1-13` for semantic classes.
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+ ## Code
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+
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+ The `codes/` folder contains utility code released with STB:
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+
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+ - `codes/annotation tool/labelLidarwave.py`: a single-photon LiDAR waveform annotation tool.
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+ - `codes/pointcloud_extract/raw2pc.py`: converts raw histogram `.txt` files into point clouds using the maximum-bin histogram method.
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+ - `codes/pointcloud_extract/ann2pc.py`: converts annotated `.npy` semantic data into corresponding semantic point clouds.
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+ - `codes/simulator/`: simulation tools used for STB experiments.
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+ - `codes/reconstruction/`: STB reconstruction code based on the TransientNeRF method.
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+
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  ## Task Details
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  ### Depth Estimation
 
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  | `Reconstruction/` | Scene packages for sparse-view SPL reconstruction and novel-view evaluation |
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  | `Annotations/` | Histogram-domain semantic label packages for `27` sequences |
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  | `Histgram/` | Raw histogram packages and sequence-level depth maps for the semantic track |
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+ | `codes/` | Annotation, point-cloud conversion, simulation, and TransientNeRF-based reconstruction code |
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  | `config/config.yaml` | SPL intrinsics, distortion coefficients, temporal bin width, image size, and parsing settings |
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  | `config/IRF_global.csv` | Global instrument response function (IRF) measurements for transient calibration and analysis |
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  | `config/final_extrinsic_sp_to_livox.txt` | SPL-to-Livox extrinsic calibration used for cross-sensor alignment |