We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hello, I downloaded the CSS3D from the readme and load the css_toy_dataset_novel2_small.dup.npy as follow:
css_toy_dataset_novel2_small.dup.npy
import numpy as np data = np.load("../data/css_toy_dataset_novel2_small.dup.npy",allow_pickle=True,encoding="latin1") data = data.item()
I found that data["train"]["mods"] only contains 6004 samples and that only includes the 2d->3d mods, not 3d->3d mods
data["train"]["mods"]
The text was updated successfully, but these errors were encountered:
If you need to parse the data yourself, please take a look at at https://github.com/google/tirg/blob/master/datasets.py#L65 as a reference: (1) it's not 1 to 1 correspondences between this "mods" and the number of training samples (run our code to see the size https://github.com/google/tirg/blob/master/main.py#L125) (2) there is no " 2d->3d mods" or "3d->3d mods", there is just a single one they are both and the same (change the param here to switch https://github.com/google/tirg/blob/master/datasets.py#L150)
Sorry, something went wrong.
No branches or pull requests
Hello, I downloaded the CSS3D from the readme and load the
css_toy_dataset_novel2_small.dup.npy
as follow:I found that
data["train"]["mods"]
only contains 6004 samples and that only includes the 2d->3d mods, not 3d->3d modsThe text was updated successfully, but these errors were encountered: