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I found the evaluation.py actually use the training images. Could you please share how to get the exact number in Table 3 of your paper. More specifically, how to know which are
the remaining 11 held-out images per time instance for evaluation
?
The text was updated successfully, but these errors were encountered:
We skipped the training image by checking if image index % 12 is same as camera index, since there are 12 cameras in total and we generate training images in circular fashion
Hi,
I found the
evaluation.py
actually use the training images. Could you please share how to get the exact number in Table 3 of your paper. More specifically, how to know which are?
The text was updated successfully, but these errors were encountered: