Comments (5)
I'll check it out, please be patient.
from enerf.
I have updated the corresponding config file and README. If everything is set up, the following results can be obtained by tensorboard --logdir=$workspace/record --bind_all
:
from enerf.
Thanks a lot, I will try it.
One more thing I would like to confirm is about the epoch number in train part,
Is it necessary to train with 100 epoches ?
(I will try it by myself, but I also would like to know your experience)
Thanks !!!
from enerf.
From my experience, there will be no obvious visual improvement after several (5) epochs. But the metric may fully converge after 40 epochs.
from enerf.
Thanks for your quick response.
I will try it :)
from enerf.
Related Issues (20)
- custom outdoor dataset
- Issues on evaluation HOT 4
- Doubt with homo_warp
- How to make bounding box data? HOT 1
- Strange error while funetunning zjumocap HOT 1
- Super low GPU/CPU usage while training HOT 1
- Error in DTU Eval HOT 1
- Composition of the enerf-outdoor dataset HOT 1
- Run Enerf on a self-made zju-mocap HOT 4
- run gui_human.py on my own dataset. Problem with visualization
- About the camera? HOT 2
- Camera Color Calibration
- Properly formatted annots.npy file HOT 1
- 关于zjumocap_train.yaml文件下某些项的作用 HOT 1
- Question about config file HOT 3
- weird result after visualizing on the ENeRF-Outdoor dataset
- Problems with visualizing outdoor video HOT 1
- Two questions regarding the video rendering accuracy and the number of inference cameras for Enerf Outdoor. HOT 1
- Is camera radial distortion taken into account? HOT 1
- The Link of pretrained model from dtu_pretrain has expired HOT 1
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from enerf.