I ran this command to extract the full nerfstudio dataset: ns-download-data nerfstudio --save-dir nerfstudio --capture-name all However, it only downloaded these scenes: bww_entrance, campanile, desolation, library, poster, redwoods2, storefront, vegetation. ...
You can download the dataset from here and put the 'scenes' directoy right under the main directory. Environment Set up a conda environment and activate: conda create -n n2n python=3.10 conda activate n2n pip install -r requirements.txt pip install git+https://github.com/jonbarron/robust_lo...
parser.add_argument('--preload',type=int, default=0, help="0 means load data from disk on-the-fly, 1 means preload to CPU, 2 means GPU.")# (the default value is for the fox dataset)parser.add_argument('--bound',type=float, default=1, help="assume the scene is bounded in box[...
Data download Download nerf_llff_data.zip from here Training model Run (example) python train.py \ --dataset_name llff \ --root_dir $LLFF_DIR \ --N_importance 64 --img_wh 504 378 \ --num_epochs 30 --batch_size 1024 \ --optimizer adam --lr 5e-4 \ --lr_scheduler steplr -...
Error running command: colmap mapper --database_path /data/Code/Dataset/data/nerfstudio/lego/colmap/database.db --image_path /data/Code/Dataset/data/nerfstudio/lego/images --output_path /data/Code/Dataset/data/nerfstudio/lego/colmap/sparse ...
This is the dataset for the CGF 2021 paper "DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks". Please note the original creators of the individual 3D scenes themselves (individual license files can be found in the individual .zip archives in the...
bash download_example_data.sh to get the our synthetic Lego dataset and the LLFF Fern dataset. To optimize a low-res Fern NeRF: python run_nerf.py --config config_fern.txt After 200k iterations (about 15 hours), you should get a video like this at logs/fern_test/fern_test_spiral...
Nerfstudio Dataset 我们的“Nerfstudio 数据集”包括 10 个野外捕获,使用手机或带有鱼眼镜头的无镜像相机获得。我们使用 COLMAP 或 Polycam 应用程序处理数据以获得相机姿势和内在参数。我们的目标是为研究人员提供更多 360 个真实世界的捕获,这些捕获不限于前向场景. ...
wgethttps://github.com/YudongGuo/AD-NeRF/blob/master/dataset/vids/Obama.mp4?raw=true-O data/obama/obama.mp4 运行脚本(可能需要数小时,具体取决于视频长度) run all steps python data_utils/process.py data//.mp4 if you want to run a specific step ...
“fresh training for each scene” rule by training an auxiliary neural network trained on a large dataset of scenes (or sometimes on image datasets, like ImageNet). Such a network extracts high level image features which are supplied to NeRF alongside the usual inputs(r, d). They also use...