save renders to a folder and bump viewer version (nerfstudio-project#733

)

save data to renders folder. bump viewer

.gitignore

@@ -168,10 +168,8 @@ outputs/
 events.out.*
 
 # Data
-data/
-data_*/
-!nerfstudio/data
-!docs/tutorials/data/
+data
+!*/data
 
 # Misc
 old/

README.md

@@ -176,7 +176,7 @@ After your model has trained, you can headlessly render out a video of the scene
 
 ```bash
 # assuming previously ran `ns-train nerfacto`
-ns-render --load-config=outputs/data-nerfstudio-poster/nerfacto/{TIMESTAMP}/config.yml --traj=spiral --output-path=output.mp4
+ns-render --load-config=outputs/data-nerfstudio-poster/nerfacto/{TIMESTAMP}/config.yml --traj=spiral --output-path=renders/output.mp4
 ```
 
 # Learn More

docs/quickstart/first_nerf.md

@@ -120,7 +120,7 @@ For slower methods where the viewer is not recommended, we default to [Wandb](ht
 We also provide options to render out the scene of a trained model with a custom trajectory and save the output to a video.
 
 ```bash
-ns-render --load-config={PATH_TO_CONFIG} --traj=spiral --output-path=output.mp4
+ns-render --load-config={PATH_TO_CONFIG} --traj=spiral --output-path=renders/output.mp4
 ```
 
 While we provide pre-specified trajectory options, `--traj={spiral, interp, filename}` we can also specify a custom trajectory if we specify `--traj=filename --camera-path-filename {PATH}`.

nerfstudio/viewer/app/package.json

@@ -1,7 +1,7 @@
 {
   "name": "viewer",
   "homepage": ".",
-  "version": "22-10-02-0",
+  "version": "22-10-07-0",
   "private": true,
   "dependencies": {
     "@emotion/react": "^11.10.4",

nerfstudio/viewer/app/src/modules/SidePanel/CameraPanel/CameraPanel.jsx

@@ -469,7 +469,7 @@ export default function CameraPanel(props) {
     // Copy the text inside the text field
     const config_filename = `${config_base_dir}/config.yml`;
     const camera_path_filename = `${config_base_dir}/camera_path.json`;
-    const cmd = `ns-render --load-config ${config_filename} --traj filename --camera-path-filename ${camera_path_filename} --output-path output.mp4`;
+    const cmd = `ns-render --load-config ${config_filename} --traj filename --camera-path-filename ${camera_path_filename} --output-path renders/output.mp4`;
     navigator.clipboard.writeText(cmd);
 
     const camera_path_payload = {

scripts/render.py

@@ -80,6 +80,8 @@ def _render_trajectory_video(
             images.append(image)
 
     fps = len(images) / seconds
+    # make the folder if it doesn't exist
+    output_filename.parent.mkdir(parents=True, exist_ok=True)
     with console.status("[yellow]Saving video", spinner="bouncingBall"):
         media.write_video(output_filename, images, fps=fps)
     console.rule("[green] :tada: :tada: :tada: Success :tada: :tada: :tada:")
@@ -101,7 +103,7 @@ class RenderTrajectory:
     # Filename of the camera path to render.
     camera_path_filename: Path = Path("camera_path.json")
     # Name of the output file.
-    output_path: Path = Path("output.mp4")
+    output_path: Path = Path("renders/output.mp4")
     # How long the video should be.
     seconds: float = 5.0
     # A hack to double the number of samples for the nerfacto method.