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Thank you for releasing your code. I was able to reproduce the results shown on your paper.
For the training of the tracking part, you mentioned in your paper that
We train on image pairs from the SUN3D dataset and the SUNCG dataset. For SUN3D we sample image pairs with a baseline of up to 40cm. For SUNCG we generate images with normally distributed baselines with standard deviation 15cm and rotation angles with standard deviation 0.15 radians. When sampling an image pair we reject samples with an image overlap of less than 50%. For keyframe depth maps DK, we use the ground truth depth from the datasets during training.
Can you please share the exact data on which you trained your tracking model? or maybe a script to download the data in the required format to train it.
Similarly for the mapping module.
Thank you so much in advance!
The text was updated successfully, but these errors were encountered:
Hi,
Thank you for releasing your code. I was able to reproduce the results shown on your paper.
For the training of the tracking part, you mentioned in your paper that
We train on image pairs from the SUN3D dataset and the SUNCG dataset. For SUN3D we sample image pairs with a baseline of up to 40cm. For SUNCG we generate images with normally distributed baselines with standard deviation 15cm and rotation angles with standard deviation 0.15 radians. When sampling an image pair we reject samples with an image overlap of less than 50%. For keyframe depth maps DK, we use the ground truth depth from the datasets during training.
Can you please share the exact data on which you trained your tracking model? or maybe a script to download the data in the required format to train it.
Similarly for the mapping module.
Thank you so much in advance!
The text was updated successfully, but these errors were encountered: