请问有遇到过Segmentation fault得问题吗

[naah69]

我在docker中通过conda安装了pclpy，结果使用hull时报错Segmentation fault

[maguangyan]

可以贴一下代码片段和报错信息吗

[naah69]

hull.reconstruct 报错，在windows下没问题，在linux下会报错

        from pclpy import pcl
        tb = pcl.PointCloud.PointXYZ()
        tb = tb.from_array(vertexes)  # 凸包顶点
        hull = pcl.surface.ConvexHull.PointXYZ()
        hull.setInputCloud(tb)
        hull.setDimension(3)
        polygon = pcl.vectors.Vertices()  # 凸包顶点
        surface_hull = pcl.PointCloud.PointXYZ()  # 凸包形状
        hull.reconstruct(surface_hull, polygon)  # 计算凸包

我暂时使用以下方法代替该方法了

        from scipy.spatial import ConvexHull
        hull = ConvexHull(vertexes)
        polygon = self.list_to_vertices(hull.simplices)
        surface_hull = pcl.PointCloud.PointXYZ()
        surface_hull = surface_hull.from_array(vertexes)  # 凸包顶点
        return hull, surface_hull, polygon

[naah69]

vertexes=[
                [
				 -11.620271234832265,
				 2.640974040337443,
				 -2.043000030517578
			], [
				 -11.620271234832265,
				 2.640974040337443,
				 -0.1389999955892563
			], [
				 -9.08636688079943,
				 2.105642134555592,
				 -2.043000030517578
			], [
				 -9.08636688079943,
				 2.105642134555592,
				 -0.1389999955892563
			], [
				 -7.444682369735905,
				 0.17844727374092292,
				 -2.043000030517578
			], [
				 -7.444682369735905,
				 0.17844727374092292,
				 -0.1389999955892563
			], [
				 -10.620985010706638,
				 -3.6402536541696238,
				 -2.043000030517578
			], [
				 -10.620985010706638,
				 -3.6402536541696238,
				 -0.1389999955892563
			], [
				 -11.834403997144898,
				 -3.8900752102011564,
				 -2.043000030517578
			], [
				 -11.834403997144898,
				 -3.8900752102011564,
				 -0.1389999955892563
			], [
				 -13.1192005710207,
				 -3.783008829044784,
				 -2.043000030517578
			], [
				 -13.1192005710207,
				 -3.783008829044784,
				 -0.1389999955892563
			], [
				 -14.368308351177733,
				 -3.0692329546689816,
				 -2.043000030517578
			], [
				 -14.368308351177733,
				 -3.0692329546689816,
				 -0.1389999955892563
			], [
				 -15.653104925053537,
				 -0.6067061880724615,
				 -2.043000030517578
			], [
				 -15.653104925053537,
				 -0.6067061880724615,
				 -0.1389999955892563
			], [
				 -16.152748037116346,
				 1.7487541973676899,
				 -2.043000030517578
			], [
				 -16.152748037116346,
				 1.7487541973676899,
				 -0.1389999955892563
			], [
				 -15.046395431834405,
				 3.3904387084320367,
				 -2.043000030517578
			], [
				 -15.046395431834405,
				 3.3904387084320367,
				 -0.1389999955892563
			], [
				 -13.261955745895792,
				 3.568882677025988,
				 -2.043000030517578
			], [
				 -13.261955745895792,
				 3.568882677025988,
				 -0.1389999955892563
			]]