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[...
Error running command: colmap feature_extractor --database_path /data/Code/Dataset/data/nerfstudio/lego/colmap/database.db --image_path /data/Code/Dataset/data/nerfstudio/lego/images --ImageReader.single_camera 1 --ImageReader.camera_model OPENCV --SiftExtraction.use_gpu 1 ─────────...
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...
python run_nerf.py --config configs/{DATASET}.txt --render_only replace{DATASET}withtrex|horns|flower|fortress|lego| etc. Pre-trained Models You can download the pre-trained modelshere. Place the downloaded directory in./logsin order to test it later. See the following directory structure for...
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. ...
and drones. Instant NeRF gives him a powerful tool to help preserve and share cultural artifacts through online libraries, museums, virtual-reality experiences, and heritage-conservation projects. This NeRF was trained using a dataset made of photos taken with an iPhone at the Royal Ontario Museum...
wget https://github.com/YudongGuo/AD-NeRF/blob/master/dataset/vids/Obama.mp4?raw=true -O data/obama/obama.mp4 We also provide pretrained checkpoints on the Obama video clip. After completing the data pre-processing step, you candownloadand test them by: ...
“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...