Comments (1)
Hi,
thanks for your interest in the NeRSemble dataset.
We added the color correction for all of the participants now to the dataset.
You can find the download link in the README.md
file (You have to download the README.md
again to see the changes).
The color_correction.zip
file contains affine color transformation matrices (following the procedure described in the NeRSemble paper) for each participant and each of the 16 cameras.
To apply the color correction to an image of person $ID
and camera $SERIAL
, the following code may be used:
affine_color_transform = np.load('color_correction/$ID/$SERIAL.npy')
image = image @ affine_color_transform[:3, :3] + affine_color_transform[np.newaxis, :3, 3]
image = np.clip(image, 0, 1)
Hope this helps
from nersemble.
Related Issues (13)
- Pretrained Model HOT 1
- Resume Training from Checkpoint HOT 2
- How to train on custom dataset?
- About camera coordinate system HOT 5
- DataManager compatible Extraction script
- Extract .ply or .obj file HOT 1
- Expressions Transfer HOT 1
- Hardware Requirements HOT 1
- Training Requirement HOT 6
- Matting masks for free part? HOT 2
- how to get the depth map HOT 2
- Coordinate System of Camera Matrix HOT 2
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from nersemble.