#!/bin/bash # Script to generate 4D animation from existing mesh and video # Usage: ./scripts/4D_from_existing.sh # 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 " 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 "=========================================="