Comments (3)
python run.py --type evaluate --cfg_file configs/enerf/llff_eval.yaml save_result True save_tag llff
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Thank you. However, the rendered images for the NeRF and LLFF dataset are not as good as the results presented in the paper or the video shown on the project page. May I ask how many cameras are used for the outdoor scene? (or maybe release the data if possible. Thx a lot)
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16-18 cameras on a 120 degree arc.
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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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