Add multi-processing support for cache_image. Fixed the issue of insufficient precision leading to a completely black image when converting from RGBA to RGB. #2867
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…d SplatfactoModel
brentyi
reviewed
Feb 2, 2024
brentyi
reviewed
Feb 2, 2024
brentyi
reviewed
Feb 2, 2024
Hi! I have updated the code based on the comments. Thank you for your suggestions！ |
KevinXu02
changed the title
|
Also fixed the issue of insufficient precision leading to a completely black image when converting from RGBA to RGB. |
jb-ye
reviewed
Feb 5, 2024
| @@ -103,7 +103,7 @@ def get_image_uint8(self, image_idx: int) -> UInt8[Tensor, "image_height image_w | |||
| assert (self._dataparser_outputs.alpha_color >= 0).all() and ( | |||
| self._dataparser_outputs.alpha_color <= 1 | |||
| ).all(), "alpha color given is out of range between [0, 1]." | |||
| image = image[:, :, :3] * image[:, :, -1:] / 255.0 + 255.0 * self._dataparser_outputs.alpha_color * ( | |||
| image = image[:, :, :3] * (image[:, :, -1:] / 255.0) + 255.0 * self._dataparser_outputs.alpha_color * ( | |||
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Thanks for catching this bug.
|
lgtm |
ArpegorPSGH
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Jun 22, 2024
…fficient precision leading to a completely black image when converting from RGBA to RGB. (nerfstudio-project#2867)
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Add multi-processing support for cache_images. Now caching image is way more faster.
(Kind of messed up with branches and comments, the only changed file is full_images_datamanager.py. Please bear with me.)