Agisoft Metashape - Professional 2 Repack

import Metashape doc = Metashape.Document() doc.save("project.psx") chunk = doc.addChunk() chunk.addPhotos(["img1.jpg", "img2.jpg", "img3.jpg"]) chunk.matchPhotos(downscale=1, generic_preselection=True, reference_preselection=True) chunk.alignCameras() chunk.buildDepthMaps(downscale=2, filter_mode=Metashape.MildFiltering) chunk.buildModel(source_data=Metashape.DepthMapsData, surface_type=Metashape.Arbitrary) doc.save() Use code with caution. Cloud and Network Processing

# For this feature, we will assume standard Photogrammetry logic: # Points significantly higher than the 'Ground' surface in the local cell are Vegetation.

This script is designed to be run directly within the Metashape "Run Script" dialog or integrated into a custom menu plugin. agisoft metashape professional 2

If your work involves complex terrain modeling, high-end 3D asset creation, or large-scale LIDAR integration, version 2.x is an essential upgrade to your toolkit.

Version 2.0 introduces neural network-based masking. Previously, removing moving objects (pedestrians, vehicles) required manual masking or tedious "mask by difference" workflows. import Metashape doc = Metashape

Metashape Pro 2.0 adds export options that clients demand:

# Preset Selector self.form_layout = QtWidgets.QFormLayout() self.preset_combo = QtWidgets.QComboBox() self.preset_combo.addItems(["Light Vegetation (Grass/Fields)", "Medium Vegetation (Orchards)", "Dense Forest"]) self.form_layout.addRow("Environment:", self.preset_combo) If your work involves complex terrain modeling, high-end

To automatically classify high-density point cloud data into "Vegetation" and "Ground" classes using a multi-stage algorithm (Progressive Morphological Filter combined with Point Density analysis), and subsequently generate a clean Digital Terrain Model (DTM) without vegetation artifacts.

: Direct import and processing of aerial and terrestrial LiDAR data, allowing for simultaneous use of laser scans and photographs. It includes tools for LiDAR point attribute support (intensity, scan angle, etc.) and boresight calibration. AI-Based Automation

: Users can offload heavy processing tasks to the Agisoft Cloud to save local hardware resources.

：以 超快的处理速度 著称，能在相同硬件环境下显著缩短生成密集点云和网格模型的时间。然而，其 基于PPI计费 的积分制授权模型对需要长期、高频处理的用户不太友好。