| name | quality-settings |
| description | Recommend optimal Metashape processing settings based on dataset size and available RAM. Provides specific parameter values for each processing step with quality/speed trade-offs. |
| user-invocable | true |
Optimize Quality Settings
Recommend processing parameters tuned to the user's dataset and hardware.
Information Needed
Ask the user (or read from the project):
- Photo count: Number of images in the dataset
- Available RAM: System memory in GB
- Priority: Quality vs speed
Guidelines by Dataset Size
| Setting | <100 photos | 100–500 | 500–2000 | 2000+ |
|---|
| Match downscale | 1 (High) | 1 (High) | 2 (Medium) | 2–4 |
| Keypoint limit | 60000 | 40000 | 40000 | 40000 |
| Depth map quality | 2 (High) | 4 (Medium) | 4 (Medium) | 8 (Low) |
| Depth filter | mild | mild | moderate | moderate |
| Face count | high | high | medium | medium/custom |
RAM Considerations
- <16 GB: Use downscale 4+ for depth maps, medium face count
- 16–32 GB: Use downscale 2–4, high face count up to ~500 photos
- 32–64 GB: Use downscale 1–2, high face count up to ~1000 photos
- 64+ GB: Can use ultra quality for smaller datasets
GPU/CPU Rule
set_gpu_config(cpu_enable=True) — BEFORE alignment (match_photos, align_cameras)set_gpu_config(cpu_enable=False) — BEFORE everything else (depth maps, meshing, texturing, DEM, ortho)
CPU slows GPU operations. It is ONLY beneficial for alignment.
Output
Read the chunk info, then provide specific parameter values for each processing step as ready-to-use tool calls.
