antithing

Thank you.

@catree is the code you used for Temporal smoothing available? Thanks!

@catree Thanks! I have implemented this using quaternions, getting the distance like so: ``` cv::Mat R1, R2, Rlast; //MarkerStore[marker.id].rvec is the last frame marker, rvecsVec is the vector of rvecs...

Thanks again @catree, this actually looks like a bug with the tagStandard41h12 dictionary. Switching to the 36h11 markers has improved my results across the board. They are faster, more robust...

Hi @jixiedaima did you figure out how to do this?

Hi @lulu1315 , did you manage to get this compiled and running? I am getting the following error: `Error when accessing kernel file: ios_base::failbit set: iostream stream error (d:\testing\guidedfilter-master\external\clutils\clutils-master\src\clutils.cpp:224)` Did...

Following! C++ would be amazing

I am also very interested in mesh extraction! I hope it can be added. Thank you very much for making this code available!

+1 I am seeing the same error with the garden dataset: ``` 2023-06-05 16:38:28: Generate visibility mask... Warning: image_path not found for reconstruction Generating visibility grid: 100%|██████████████████████████████████| 161/161 [25:23

AH, the checkpoi9nt is not loading. I am running extract_360.sh, which is: ``` #!/bin/bash SCENE=garden EXPERIMENT=360_v2/"$SCENE" DATA_ROOT=/mnt/c/Users/B/zipnerf-pytorch/data/ DATA_DIR="$DATA_ROOT"/"$SCENE" accelerate launch extract.py --gin_configs=configs/360.gin \ --gin_bindings="Config.data_dir = '${DATA_DIR}'" \ --gin_bindings="Config.exp_name = '${EXP_NAME}'"...