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point cloud and image size #24
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I meet the same problems, but I solved it by using the w2c which are provided by colmap. Although I can achieve the 3D tracking with 30-psnr, the result of gaussian is so bad. |
I solved this problem by creating a point cloud of the initial frame through 3D Gaussian Splatting. @JHXion9 |
Sorry, I don't track well using my own dataset. This may require further strengthening of the constraint on the Gaussian between frames. |
Hello, do you need to change the train_meta.json file to train your own data? Do you need to change the init_pt_cld.npz (specifically how to change it)? You can still use the author's. |
为什么我训练自己的数据却显示的是作者的可视化界面,请问是什么问题 |
是需要修改train_meta.json和init_pt_cld.npz文件吗 |
@luoxue-star @JHXion9 I also tried the code in this link(#18), but still couldn't successfully build a dataset that can be used with dynamic Gaussian. When training to a certain stage, all Gaussians will be removed and only empty files will be output. |
Does the input image have to be sized at (640, 320)? I have also utilized Colmap to reconstruct the point cloud, and the data has been processed into the same format as the provided dataset. I use 13 cameras for training and the PSNR is approximately 25 at each step of the training process. However, the size of the saved params.npz file is only a few KB. What might be causing this issue? I hope to hear from you soon. Thanks!
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