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@@ -28,37 +28,32 @@ For readability, the directory tree below is shown in a simplified logical form.
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  ```text
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  HSI-SC-NeRF/
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- β”œβ”€β”€ wr/ # White reference (WR) data for spectral calibration
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- β”œβ”€β”€ raw/ # Raw acquisition data
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- β”‚ β”œβ”€β”€ apple_bruised/
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- β”‚ β”œβ”€β”€ maize/
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- β”‚ β”‚ β”œβ”€β”€ Oh43x_gt.MOV # iPhone-captured video for spatial validation
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- β”‚ β”‚ └── Oh43x_SC/ # Raw hyperspectral acquisition data
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- β”‚ └── pear/
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- β”œβ”€β”€ processed/ # Preprocessed and NeRF-ready data
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- β”‚ β”œβ”€β”€ apple_bruised/
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- β”‚ β”‚ β”œβ”€β”€ pseudo_rgb/ # Pseudo-RGB images for pose estimation
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- β”‚ β”‚ β”œβ”€β”€ colmap/ # COLMAP outputs and sparse point clouds
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- β”‚ β”‚ β”œβ”€β”€ hsi_calibrated/ # Spectrally calibrated hyperspectral data
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- β”‚ β”‚ └── masks/ # Object masks for fine-tuning
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- β”‚ β”œβ”€β”€ maize/
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- β”‚ └── pear/
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- β”œβ”€β”€ train/ # Trained NeRF models and checkpoints
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- β”‚ β”œβ”€β”€ apple_bruised/
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- β”‚ β”‚ β”œβ”€β”€ pre-train/ # Pre-trained model checkpoints (`.ckpt`)
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- β”‚ β”‚ β”œβ”€β”€ fine-tune/ # Fine-tuned model checkpoints (`.ckpt`)
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- β”‚ β”‚ β”œβ”€β”€ eval_metrics/ # Evaluation metrics for pre-trained and fine-tuned models
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- β”‚ β”‚ └── eval_maps/ # Per-band RMSE or error maps (`.npy`)
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- β”‚ β”œβ”€β”€ maize/
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- β”‚ └── pear/
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- └── pcd/ # Final reconstructed hyperspectral point clouds (1M points)
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- β”œβ”€β”€ apple_bruised/
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- β”‚ β”œβ”€β”€ pre-train/
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- β”‚ └── fine-tune/
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- β”œβ”€β”€ maize/
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- └── pear/
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  ```
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  ## 🧠 HSI-SC-NeRF Pipeline
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  The reconstruction workflow consists of three main stages:
 
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  ```text
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  HSI-SC-NeRF/
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+ β”œβ”€β”€ wr/
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+ β”œβ”€β”€ raw/
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+ └── pcd/
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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+ ## wr/
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+
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+ Contains white reference (WR) data used for spectral calibration.
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+
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+ ## raw/
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+
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+ Contains raw acquisition data for three objects:
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+
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+ - Apple (bruised)
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+ - Maize ear
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+ - Pear
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+
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+ For each object, the raw hyperspectral acquisition includes .dat, .hdr, and preview image files. In addition, the maize sample includes an iPhone video for spatial validation:
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+ - Oh43x_SC: stationary camera + rotating object (target configuration)
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+ - Oh43x_gt.MOV: moving camera + stationary object (reference video for spatial validation)
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+
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+ ## pcd/
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+
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+ Contains final exported hyperspectral 3D point clouds with 1 million points per object, generated from the pre-trained and fine-tuned models.
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+
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  ## 🧠 HSI-SC-NeRF Pipeline
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  The reconstruction workflow consists of three main stages: