import pymeshlab # 创建MeshLab对象 ms = pymeshlab.MeshSet() # 加载网格文件 ms.load_new_mesh('input.obj') # 设置简化参数 target_vertices = 1000 # 目标顶点数 quality_threshold = 0.1 # 质量阈值,范围0到1 # 应用简化算法 ms.apply_filter('quadric_edge_collapse_decimation', { 'percen...
import pymeshlab # 创建MeshLab对象 ms = pymeshlab.MeshSet() # 加载网格文件 ms.load_new_mesh('input.obj') # 设置简化参数 target_vertices = 1000 # 目标顶点数 quality_threshold = 0.1 # 质量阈值,范围0到1 # 应用简化算法 ms.apply_filter('quadric_edge_collapse_decimation', { 'percent...
import pymeshlab as ml # 加载有顶点颜色的obj模型 ms = ml.MeshSet() obj_path = r'C:\Users\a\Desktop\it3000-mc192.obj' ms.load_new_mesh(obj_path) # 创建纹理贴图并将顶点颜色绘制到贴图上 ms.appl…
ms.load_new_mesh('airplane.obj') ms.generate_convex_hull() ms.save_current_mesh('convex_hull.ply') And apply filters with your parameters: ms.create_noisy_isosurface(resolution=128) You can find all the names and parameters of the filters in theList of Filterspage of the documentation. ...
_ms = pymeshlab.MeshSet() # _ms.load_new_mesh("ply/ID_DESKTOP-Q47H22F-58347-1721900080279-3_25_-1_1_1.xyz") # _ms.load_new_mesh("data/test.ply") _ms.load_new_mesh("ply/3-1721978393629.ply") # _ms.load_new_mesh("cube.obj") geometric_measures=CalGemetricMeasures(_...
它是逐顶点进行,输入的参数包含了顶点位置,通过POSITION语义指定. 返回一个float4,它是该顶点在裁剪...
问如何使用PyMeshLab将顶点数减少到一定数量EN最近为某客户做一个Exadata的PoC测试，要求是X8 1/8 rack...
第一步我觉得就是看一眼readme吧~而后看一眼requirements.txt。说了很多遍了，python从某种意义上来讲...