Export your finished models, DEMs, or orthomosaics. Supported formats include OBJ, FBX, TIFF, and LAS.
Version 1.8 introduced several performance and feature upgrades, such as:
| Component | Minimum | Recommended | |---|---|---| | | 4-core Intel | 4–12 core Intel, AMD, or Apple M1/M2 processor, 2.0+ GHz | | RAM | 16 GB | 16–32 GB | | GPU | Any CUDA 3.0+ or OpenCL 1.2+ device | NVIDIA or AMD GPU with 1024+ unified shaders |
Processes various imagery types, including aerial (nadir and oblique), close-range, and satellite. It features auto-calibration for frame, fisheye, spherical, and cylindrical cameras. Agisoft Metashape Professional 1.8.5 Build 1552...
I can provide specific processing settings optimized for your exact workflow.
Run the alignment process to determine camera positions and generate a sparse point cloud. Set accuracy to "High" for standard projects.
ships with a comprehensive Python module. A sample script to automate bulk processing: Export your finished models, DEMs, or orthomosaics
While newer versions (like 2.x) exist, many firms stick with because of its proven stability . In long-term projects, changing software versions mid-stream can lead to inconsistencies in data. Build 1552 is widely considered one of the most stable iterations of the 1.8 branch, offering a perfect balance of modern features and reliable performance. Workflow Overview: From Photos to 3D Model
For detailed tutorials, API documentation, and the latest updates, visit the official Agisoft website: https://www.agisoft.com .
By utilizing advanced computer vision algorithms, Metashape processes photos from any camera. It handles everything from smartphone snapshots to multi-spectral imagery captured by aerial drones. The software aligns images, builds dense point clouds, generates detailed 3D meshes, and creates high-resolution orthomosaics. Key Features of Version 1.8.5 Build 1552 Set accuracy to "High" for standard projects
[Your Name/Organization] Date: [Current Date] Software version verified: Agisoft Metashape Professional 1.8.5 (build 15520) – SHA-256: a1b2c3... (example)
| From Version | Migration Path | Notes | | :--- | :--- | :--- | | | ✅ Direct | Convert Python 2 scripts (print functions, Metashape vs PhotoScan ). | | 1.8.0–1.8.4 | ✅ In-place | Bug fixes only (no API changes). | | 1.9+ / 2.0 | ⚠️ Manual | 1.9+ uses Python 3.9/3.10; some deprecated methods removed. |
: Click Workflow > Add Photos or Add Folder to load your dataset.
What is your experience with the new CUDA 12 implementation? Let us know in the comments if you are seeing performance boosts on the latest hardware! 👇
Using multispectral imagery processing, agricultural professionals calculate vegetation indices (NDVI) to analyze crop health, create prescription maps for variable-rate applications, and monitor field conditions over time.