hhhharold

Thanks for you reply~~~ Did you tried it on DDAD or Nuscenes? I tried on Nuscenes and used the ground truth pose instead of PoseNets. In every iteration, both photometirc...

> I have tried on DDAD and lidar supervision improves quantitative results. Have you evaluated quantitative results? Yes, the quantitative result of self-supervised was good. But after I adding some...

I tried on DDAD and the quantitative results on validation set (scale-ambiguous) were pretty good. CAMERA_01 abs_rel | sq_rel | rmse | rmse_log | a1 | a2 | a3 |...

我只是在提供的demo myCalibrator.py文件中修改了路径，并且在Calibrator每个函数中，执行语句前都打印了一段话，来查看是否被运行，我发现calibrator只被初始化了，之后所有重写的函数都没有被执行，就非常奇怪，是我tensorRT版本问题导致的吗，我的tensorRT版本是7.1.3.4。

Have you tried to 3D reconstruction from multi-view images? Just like the image shown in the README of the camviz

I used multi-views images from DDAD dataset to reconstruct 3D scene in world coordinates, but the result was not well. I am checking whether there is an error in my...

> Can you try using ground-truth information, just to check whether the transformations are correct? Yes, there was some mistakes in my code and the extrinsics is correct. By the...

> I apologize if there is any confusion. We are preparing an updated version of the paper and will upload it to arXiv soon, and we have started looking into...

> Hi, > > Could you advise how to compute the extrinsics between the cameras? I tried this way: T_cam1tocam5 = np.linalg.inv(data_cam5["extrinsics"]) @ data_cam1["extrinsics"]. Is this the right way? >...

In the source code, only 'width' is used to read the binary data. Two ways to solve the problem, one is to modify the source code. Another is to change...