Update README.md

README.md

@@ -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.