I have been trying to set up custom dataset for training on nerfstudio using KITTI360 and pandaset. For the pose estimation in the above screenshot, I have used pandaset sequence 001 -->camera --> front camera images. I was able to only get pose estimation for 5 images.
I also tried for KITTI360 dataset (data_2d_nvs_drop50 --> train_00 --> 2013_05_28_drive_0008_sync -->image_00), which gave even poorer results.
Is there any way to improve the results? Or are there any additional requirements needed to get the poses for all the images? Am I missing something?
Furthermore, what is the minimum recommended no. of image poses required for training the nerf models?
I have been trying to set up custom dataset for training on nerfstudio using KITTI360 and pandaset. For the pose estimation in the above screenshot, I have used pandaset sequence 001 -->camera --> front camera images. I was able to only get pose estimation for 5 images.
I also tried for KITTI360 dataset (data_2d_nvs_drop50 --> train_00 --> 2013_05_28_drive_0008_sync -->image_00), which gave even poorer results.
Is there any way to improve the results? Or are there any additional requirements needed to get the poses for all the images? Am I missing something?
Furthermore, what is the minimum recommended no. of image poses required for training the nerf models?