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README.md
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@@ -54,8 +54,8 @@ For each image, the following fields are provided:
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* light_idx: int, the index of illuminations, from 1 to 13 for lighting patterns, or from 0 to 141 for OLAT.
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* transform_matrix: list, a 4x4 matrix, representing the camera pose for this image (in OpenCV convention).
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* camera_angle_x: float, can be used to compute the corresponding camera intrinsics.
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* obj_mask: the object mask, can be read by ```imageio.imread(OBJ_MASK_PATH)>0```, used for PSNR evaluation.
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* com_mask (optional): the union of the object mask and the support mask, can be read by ```imageio.imread(COM_MASK_PATH)>0```, used for training.
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### Data Splits
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* light_idx: int, the index of illuminations, from 1 to 13 for lighting patterns, or from 0 to 141 for OLAT.
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* transform_matrix: list, a 4x4 matrix, representing the camera pose for this image (in OpenCV convention).
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* camera_angle_x: float, can be used to compute the corresponding camera intrinsics.
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* obj_mask: the object mask, can be read by ```imageio.imread(OBJ_MASK_PATH)>0```, used for PSNR evaluation. **Note that we store 0 and 1 for object masks, so you may not be able to correctly visualize it as png in this repo.**
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* com_mask (optional): the union of the object mask and the support mask, can be read by ```imageio.imread(COM_MASK_PATH)>0```, used for training. We store 0 and 255 for combined masks, so you are able to view them as png in this repo correctly.
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### Data Splits
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