Point cloud visualization problem

[polzaco]

Hi everyone!

We are using pycc for point clouds segmentation. When we store the point cloud in the database of cc with the following code, the points results are wrong :

CREATE THE RESULTING POINT CLOUD

        # Load the predictions
        pcd_prediction = pd.read_csv(os.path.join(self.output_directory,'predictions.txt'), sep=',')  # Use sep='\t' for tab-separated files       

        # Select only the 'Predictions' column
        pc_results_prediction = pycc.ccPointCloud(pcd_prediction['X'], pcd_prediction['Y'], pcd_prediction['Z'])
        pc_results_prediction.setName("Results_from_segmentation")
        idx = pc_results_prediction.addScalarField("Labels",pcd_prediction['Predictions']) 

        # STORE IN THE DATABASE OF CLOUDCOMPARE
        CC = pycc.GetInstance()
        CC.addToDB(pc_results_prediction)
        CC.updateUI() 

Firstly, I would prefer open it with the Scalar Field view at the beginning, because it appears with None. (first picture)

Then, after the scalar field activation , the point cloud only open the first class color, the rest dont open. (second picture)

It should appear at the first time like that. I did with "Split cloud (integer values)" tool and then merging all of them (thrid picture)

Is possible to do that? Thanks in advance.

[tmontaigu]

To show a scalar field by default you have to call point_cloud.setCurrentDisplayedScalarField(idx)

And to CC to show nice colors you have to call computeMinAndMax on the scalar field point_cloud.getScalarField(point_cloud.getScalarFieldIndexByName("classification")).computeMinAndMax()