The following example shows how to use Python API for selection of the sparse cloud points similar to Gradual Selection option in GUI.
The example shows how to get the reprojection value that would allow to leave the fixed percentage of the points defined as TARGET_PERCENT variable.
import Metashape TARGET_PERCENT = 90 #percentage of left points
doc = Metashape.app.document #active project in GUI chunk = doc.chunk points = chunk.point_cloud.points
f = Metashape.PointCloud.Filter() f.init(chunk, criterion = Metashape.PointCloud.Filter.ReprojectionError) #Reprojection Error list_values = f.values list_values_valid = list() for i in range(len(list_values)): if points[i].valid: list_values_valid.append(list_values[i]) list_values_valid.sort() target = int(len(list_values_valid) * TARGET_PERCENT / 100) threshold = list_values_valid[target] f.selectPoints(threshold) f.removePoints(threshold)