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Yen-Chen Lin 2020-04-05 19:58:48 +08:00 committed by GitHub
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@ -47,7 +47,7 @@ bash download_example_data.sh
To train a low-res `lego` NeRF:
```
python run_nerf_torch.py --config configs/config_lego.txt
python run_nerf.py --config configs/config_lego.txt
```
After training for 100k iterations (~4 hours on a single 2080 Ti), you can find the following video at `logs/lego_test/lego_test_spiral_100000_rgb.mp4`.
@ -57,7 +57,7 @@ After training for 100k iterations (~4 hours on a single 2080 Ti), you can find
To train a low-res `fern` NeRF:
```
python run_nerf_torch.py --config configs/config_fern.txt
python run_nerf.py --config configs/config_fern.txt
```
After training for 200k iterations (~8 hours on a single 2080 Ti), you can find the following video at `logs/fern_test/fern_test_spiral_200000_rgb.mp4` and `logs/fern_test/fern_test_spiral_200000_disp.mp4`
@ -88,7 +88,7 @@ To play with other scenes presented in the paper, download the data [here](https
To train NeRF on different datasets:
```
python run_nerf_torch.py --config configs/config_{DATASET}.txt
python run_nerf.py --config configs/config_{DATASET}.txt
```
replace `{DATASET}` with `trex` | `horns` | `flower` | `fortress` | `lego` | etc.
@ -98,7 +98,7 @@ replace `{DATASET}` with `trex` | `horns` | `flower` | `fortress` | `lego` | etc
To test NeRF trained on different datasets:
```
python run_nerf_torch.py --config configs/config_{DATASET}.txt --render_only
python run_nerf.py --config configs/config_{DATASET}.txt --render_only
```
replace `{DATASET}` with `trex` | `horns` | `flower` | `fortress` | `lego` | etc.