Download OVOW/third_party/Motion324/scripts/4D_from_existing.sh from AIGeeksGroup/PhysicalWM: direct link, hf CLI and curl.
- Browser
- Download file 2.23 kB
-
https://huggingface.co/datasets/AIGeeksGroup/PhysicalWM/resolve/main/OVOW/third_party/Motion324/scripts/4D_from_existing.sh
- Command line
-
hf download hf://datasets/AIGeeksGroup/PhysicalWM/OVOW/third_party/Motion324/scripts/4D_from_existing.sh
-
curl -L -o 4D_from_existing.sh https://huggingface.co/datasets/AIGeeksGroup/PhysicalWM/resolve/main/OVOW/third_party/Motion324/scripts/4D_from_existing.sh
2.23 kB
| # Script to generate 4D animation from existing mesh and video | |
| # Usage: ./scripts/4D_from_existing.sh <data_dir> <video_path> <output_dir> | |
| # Example: ./scripts/4D_from_existing.sh ./examples/mesh.glb ./examples/video.mp4 ./examples/output | |
| set -e | |
| # Check arguments | |
| if [ $# -lt 3 ]; then | |
| echo "Usage: $0 <data_dir> <video_path> <output_dir>" | |
| echo " data_dir: Path to .glb or .fbx mesh file (FBX will be automatically converted to GLB)" | |
| echo " video_path: Path to video file (.mp4/.avi/.mov) or directory containing images" | |
| echo " output_dir: Output directory for animation results" | |
| echo "" | |
| echo "Example: $0 ./examples/chili.glb ./examples/chili.mp4 ./examples/output" | |
| exit 1 | |
| fi | |
| DATA_DIR="$1" | |
| VIDEO_PATH="$2" | |
| OUTPUT_DIR="$3" | |
| SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)" | |
| PROJECT_ROOT="${SCRIPT_DIR}/.." | |
| # Validate data_dir | |
| if [ ! -f "$DATA_DIR" ]; then | |
| echo "Error: Mesh file not found: $DATA_DIR" | |
| echo "Supported formats: .glb, .fbx" | |
| exit 1 | |
| fi | |
| # Validate video_path | |
| if [ ! -f "$VIDEO_PATH" ] && [ ! -d "$VIDEO_PATH" ]; then | |
| echo "Error: Video file or directory not found: $VIDEO_PATH" | |
| echo "Supported: .mp4/.avi/.mov video files or directory containing images" | |
| exit 1 | |
| fi | |
| # Create output directory | |
| mkdir -p "$OUTPUT_DIR" | |
| echo "==========================================" | |
| echo "Generating 4D animation from existing mesh and video" | |
| echo "Mesh file: $DATA_DIR" | |
| echo "Video path: $VIDEO_PATH" | |
| echo "Output directory: $OUTPUT_DIR" | |
| echo "==========================================" | |
| # Change to project root directory | |
| cd "$PROJECT_ROOT" | |
| # Run inference | |
| python scripts/inference_with_video_mesh.py \ | |
| --config=configs/dyscene.yaml \ | |
| training.resume_ckpt="$PROJECT_ROOT/experiments/checkpoints/ckpt_0000000000060000.pt" \ | |
| model.class_name=model.Pcd_motion.Motion_Latent_Model \ | |
| training.num_shape_samples=16384 \ | |
| training.frames=256 \ | |
| start_frame=0 \ | |
| use_segmentation=True \ | |
| data_dir="$DATA_DIR" \ | |
| video_path="$VIDEO_PATH" \ | |
| output_dir="$OUTPUT_DIR" | |
| echo "" | |
| echo "==========================================" | |
| echo "Processing complete!" | |
| echo "Animation output: $OUTPUT_DIR" | |
| echo "==========================================" | |