RAM adalah faktor utama batas ukuran proyek. VRAM GPU memengaruhi kecepatan rekonstruksi dense.
| Komponen | Dasar (< 500 gambar) | Lanjut (1.500+ gambar) |
|---|---|---|
| CPU | 4–12 cores, 2.0 GHz+ | i7/i9 or Ryzen 7/9, 6–32 cores, 3.0 GHz+ |
| RAM | 16–32 GB | 32–128 GB |
| GPU | NVIDIA RTX 2060+ (CUDA) | NVIDIA RTX 3080/4070+ (CUDA) |
| Penyimpanan | SSD sangat direkomendasikan | |
Sistem operasi
- Windows: Windows 10 or 11 (64-bit) — primary target.
- Linux: Terapetra AppImage on supported distributions (filename listed on the release notes page).
Hardware
- GPU: NVIDIA with CUDA strongly recommended for dense reconstruction.
- RAM: 8 GB minimum; 16 GB+ recommended for typical medium datasets.
- Storage: SSD strongly recommended for image sets and dense outputs.
Perangkat lunak (instalasi dari sumber)
- Python: 3.10+ via Terapetra engine conda environment
terapetra-engine(environment.yml). - External tools: COLMAP, GDAL, PDAL on
PATH(seeTERAPETRA_COLMAP_BINif needed). - Mesh: Open3D installed with Terapetra (
pip install -e ".[dev,gui,pyvista]"optional viewer extras).
Unduh Terapetra
Lihat catatan rilis di situs ini untuk installer, checksum, dan detail versi.