最新版 Agisoft Metashape v2.1.2 更新於 2024/6/20
Agisoft Metashape (原名 Agisoft PhotoScan)是一款基於影像自動生成高質量 3D模型的優秀軟體。
此軟體能夠將平面影像進行重建,建立3D模型,這對於 3D 建模需求來說實在是一把利器。而且無需設置初始值,它根據最新的多視圖三維重建技術,可以對任意照片進行處理;無需控制點,也可以通過給予的控制點生成真實坐標的三維模型。完全自動化的工作流程,即使是非專業人員也可以在一台電腦上處理成百上千張影像,生成專業級別的攝影測量數據。
更新介紹
Standard and Professional editions
• Added Clip to region option to Duplicate Asset dialog.
• Added Save absolute image paths option to Export Cameras dialog for Blocks Exchange format.
• Added {asset} path macro support.
• Added automatic calibration group splitting based on dewarp DJI metadata flag.
• Added Zoom To command to tie points and model context menu in Workspace pane.
• Replaced Fix scale option with Fit scale in Align Chunks dialog.
• Signed application binaries on Windows.
• Bug fixes.
Professional edition
• Added return number and timestamp attributes support to E57 import/export.
• Added Save elevation values option to Export Shapes dialog.
• Added Crop segments with point cloud option to Create Trajectory Mask dialog.
• Added Zoom To command to tiled model and shapes context menu in Workspace pane.
• Added Center View command to marker context menu in Workspace pane.
• Added elevation legend display in Model view.
• Added laser scans positions visualization in Model view.
• Added Show Info command to block model context menu in Workspace pane.
• Added Stealth V-Mouse controller support.
• Added Single-Sided Rendering option to Agisoft Viewer.
Agisoft Metashape 利用數位照片簡單且快速地建立具有色彩和紋理的3D模型軟體。
以下分為兩個不同版本做介紹:
Standard Edition 標準版
由靜態的照片自動化建立專業品質且具有紋理的3D模型,提供強大的照片自動辨識校列功能、不須對目進標物件行編碼,或特別要求的拍攝條件。
支援匯入格式: JPEG, TIFF, PNG, BMP, JPEG Multi-Picture Format (MPO)
支援輸出格式: OBJ, PLY, VRML, COLLADA, Universal 3D, FBX, 3DS, PDF
Photogrammetric triangulation
Processing of various types of imagery from digital cameras.
Auto-calibration for frame (incl. fisheye) cameras.
Dense point cloud generation
Elaborate model editing for accurate results.
3D model: generation and texturing
Various scenes: archaeological sites, artifacts, buildings, interiors, people, etc.
Direct upload to various online resources and export to many popular formats.
Photorealistic textures: HDR and multifile support (incl. UDIM layout).
Panorama stitching
3D reconstruction for data captured from the same camera position — camera station, provided that at least 2 camera stations are present.
360° panorama stitching for one camera station data.
Professional Edition專業版
能夠生成高解析度的地理正射影像圖和極為精細的DEM/具有纹理的3D模型。
支援匯入格式: JPEG, TIFF, PNG, BMP, JPEG Multi-Picture Format (MPO)
支援輸出格式: GeoTIFF, xyz, ASPRS LAS, Google KMZ/KML, COLLADA, VRML, OBJ, PLY, 3DS, FBX, Universal 3D, PDF…等
Photogrammetric triangulation
Processing of various types of imagery: aerial (nadir, oblique), close-range, satellite.
Auto calibration: frame (incl. fisheye), spherical & cylindrical cameras.
Multi-camera projects support.
Scanned images with fiducial marks support.
Dense point cloud: editing and classification
Elaborate model editing for accurate results.
Automatic multi-class points classification to customize further reconstruction.
Import/export to benefit from classical point data processing workflow.
Digital elevation model: DSM/DTM generation and editing
Digital surface and/or digital terrain model — depending on the project.
Georeferencing based on EXIF meta data/flight log, GCPs data.
EPSG registry coordinate systems support: WGS84, UTM, etc.
Configurable vertical datums based on the geoid undulation grids.
DEM editing: breaklines drawing, fill tools.
Georeferenced orthomosaic generation
Georeferenced orthomosaic: most-GIS-compatible GeoTIFF format; KML files to be located on Google Earth.
Export in blocks for huge projects.
Color correction for homogeneous texture.
Inbuilt ghosting filter to combat artifacts due to moving objects.
Custom planar and cylindrical projection options for close range projects.
LiDAR data support
Aerial LiDAR point attributes support.
External registration support for laser scans.
Marker-based alignment of laser scans.
Laser scans visualization in Model view.
Ground points classification adapted for LiDAR data.
Ground control points / scale bar support
GCPs import for georeferencing and control over the accuracy of the results.
Coded/non-coded targets auto-detection for fast GCPs input.
Scale bar tool to set reference distance without implementation of positioning equipment.
Measurements: distances, areas, volumes
Inbuilt tools to measure distances, areas and volumes.
To perform more sophisticated metric analysis the products of photogrammetric processing can be smoothly transferred to external tools thanks to a variety of export formats.
Stereoscopic measurements
Professional 3D monitors and 3D controllers support for accurate and convenient stereoscopic vectorization of features and measurement purposes.
3D model: generation and texturing
Various scenes: archaeological sites, artifacts, buildings, interiors, people, etc.
Direct upload to various online resources and export to many popular formats.
Photorealistic textures: HDR and multifile support (incl. UDIM layout).
Hierarchical tiled model generation
City scale modeling preserving the original image resolution for texturing.
Cesium publishing.
4D modeling for dynamic scenes
Multi camera rig data processing for creative projects in cinematographic art, game industry, etc.
Basis for numerous visual effects with 3D models reconstructed in time sequence.
Panorama stitching
3D reconstruction for data captured from the same camera position — camera station, provided that at least 2 camera stations are present.
360° panorama stitching for one camera station data.
Multispectral imagery processing
RGB/NIR/thermal/multispectral imagery processing.
Fast reconstruction based on preferable channel.
Multichannel orthomosaic generation and user-defined vegetation indices (e.g. NDVI) calculation and export.
Automatic powerlines detection
Straightforward and time-efficient for large-scale projects since requires only aligned images as the input.
Results export in a form of a 3D polyline model for every wire.
Robust results thanks to catenary curve fitting algorithm.
Satellite imagery processing
Common processing workflow for panchromatic and multispectral satellite images is supported, provided that sufficiently accurate RPC data is available for each image.
Python and Java API
In addition to Batch processing - a way to save on human intervention, Python scripting and Java bindings suggests for sophisticated automation and customization options. Starting from the adding custom processing operations to the application GUI up to the complete job automation and integration to Python or Java pipeline.
Network processing
Distributed calculations over a local computer network to use combined power of multiple nodes for huge data sets processing in one project.
Cloud processing
Cloud processing interface allows to save on the hardware infrastructure for photogrammetric pipeline, with further option to visualize and share the variety of the processing results online with colleagues or customers, as well as to embed published projects in your own web platforms.
Features | Professional Edition | Standard Edition |
Core photogrammetry processing workflow | ||
Photogrammetric triangulation | V | V |
Dense point cloud generation and editing | V | V |
3D model generation and texturing | V | V |
Georeferenced DSM / DTM generation | V | |
True / DTM-based orthomosaic generation | V | |
Ground control and check points support | V | |
Georeferencing using flight log and / or GCPs | V | |
Markers / scale bars support | V | |
Coded / non-coded targets auto detection | V | |
Source data from various sensors | ||
Frame / fisheye camera support | V | V |
Video data import | V | V |
Spherical and cylindrical camera support | V | V |
Multi-camera systems support | V | |
Multispectral and thermal imagery processing | V | |
Scanned images with fiducial marks support | V | |
Satellite imagery processing | V | |
Measurements and analysis | ||
Coordinate / distance / area / volume measurements | V | |
Stereoscopic measurements | V | |
NDVI and other vegetation indices calculation | V | |
Dense point cloud classification | V | |
Elevation contour lines generation | V | |
Orthomosaic seamline editing | V | |
Automation options | ||
Batch processing | V | V |
Built-in Python scripting | V | |
Stand-alone Python module and Java library | V | |
Headless operation support | V | |
Big data processing | ||
GPU acceleration support | V | V |
Hierarchical tiled model generation | V | |
Network processing | V | |
Cloud processing | V | |
Special features for heritage and artistic projects | ||
Diffuse, occlusion and normal texture maps generation | V | V |
Spherical panorama stitching | V | V |
Mission planning for complex sites | V | |
4D modeling for dynamic scenes | V | |
Presentation of the results | ||
Flythrough video rendering | V | V |
3D PDF export | V | V |
Direct upload to various online resources | V | V |
Agisoft Viewer | V | |
Licensing options | ||
Free 30-day trial | V | V |
Node-locked (perpertual) | V | V |
Floating (perpertual) | V | |
Service provider license (annual / pay-per-use) | V | |
OS | ||
Windows, Mac OS X, Debian / Ubuntu | V | V |
RAM
In most cases the maximum project size that can be processed on a machine is limited by the amount of RAM available. Therefore, it is important to select a platform allowing to install the amount of RAM required for the projects to be processed. See Memory Requirements article for information on typical RAM consumption at common processing steps.
CPU
Complex geometry reconstruction algorithms of the photogrammetric software require a significant amount of computational resources for optimal data processing. Hence, a high speed multi core CPU (6+ cores, 3 GHz+) is recommended.
GPU
Agisoft Metashape supports GPU acceleration for most resource-intensive processing steps, thanks to this it is possible to speed up the processing using high-end OpenCL or CUDA compatible graphics cards with high number of unified shaders (CUDA cores or shader processor units).
推薦的系統需求配置
Basic configuration
up to 32 GB RAM (Laptop or Desktop) |
Advanced configuration
up to 128 GB RAM (Desktop or Workstation) |
Extreme configuration
128+ GB RAM (Server) |
CPU: 4 - 12 core Intel, AMD or Apple M1/M2 processor, 2.0+ GHz
|
CPU: 6 - 32 core Intel or AMD processor, 3.0+ GHz
(For example: Intel i7 / i9 or AMD Ryzen 7 / Ryzen 9 / Threadripper) |
For processing of extremely large data sets a dual-socket Intel Xeon or AMD EPYC based servers (3.0+ GHz) with Quadro, Tesla, Radeon Pro or Instinct GPUs can be used.
|
RAM: 16 - 32 GB
|
RAM: 32 - 128 GB
|
|
GPU: NVIDIA or AMD GPU with 1024+ unified shaders
(For example: GeForce RTX 2060 or Radeon RX 5600M) |
GPU: 1 - 2 NVIDIA or AMD GPUs with 1920+ unified shaders
(For example: GeForce RTX 3080 or Radeon RX 6800 XT) |
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