init

README.md

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-license: mit
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+---
+license: mit
+---
+# Dataset README
+
+## Dataset Structure
+
+The dataset is organized into the following directory structure:
+
+ambaraw_20240111/ │ ├── RAW/ │ ├── gt/ │ │ └── Scene_Gain_Exposure_Sigma.npy │ ├── noisy/ │ │ └── Scene_Gain_Exposure.npy │ ├── RGB/ │ ├── gt/ │ │ └── Scene_Gain_Exposure_Sigma.png │ ├── noisy/ │ │ └── Scene_Gain_Exposure.png
+
+
+### Description
+
+- **RAW Folder**: Contains the raw data files.
+  - `gt/`: Ground truth data in `.npy` format.
+  - `noisy/`: Noisy data in `.npy` format.
+- **RGB Folder**: Contains RGB images for visualization purposes.
+  - `gt/`: Ground truth images in `.png` format.
+  - `noisy/`: Noisy images in `.png` format.
+
+### Image Sensor Details
+
+- **Sensor**: Sony IMX678
+- **Aperture**: f/1.65
+- **Field of View (FOV)**: 109°
+- **Exposure**: 1/30
+
+## Data Loading
+
+To load the dataset, use the provided `dataloader_raw.py` script. Below is an example of how to use the script:
+
+```python
+# Example usage of dataloader_raw.py
+gt_path = "your_path/ambaraw_20240111/RAW/gt/"
+noisy_path = "your_path/ambaraw_20240111/RAW/noisy/"
+dataset = loadnpy(gt_path, noisy_path)
+
+Contact
+For any questions or issues, please contact [Tim Liu] at [Tim.Liu@liteon.com].