ef59c0f5b64e5a3e76790855795a6393c5858963,deeplabcut/generate_training_dataset/multiple_individuals_labeling_toolbox.py,MainFrame,browseDir,#MainFrame#Any#,611

Before Change

            self.dataFrame.sort_index(inplace=True)
            self.prev.Enable(True)
            // Finds the first empty row in the dataframe and sets the iteration to that index
            for idx, j in enumerate(self.dataFrame.index):
                values = self.dataFrame.loc[j, :].values
                if np.prod(np.isnan(values)) == 1:
                    self.iter = idx
                    break
                else:
                    self.iter = idx
        except:
            // Create an empty data frame
            self.dataFrame = MainFrame.create_dataframe(
                self,

After Change

        self.multibodyparts = multianimalbodyparts
        // checks for unique bodyparts
        if len(self.multibodyparts) != len(set(self.multibodyparts)):
            print(
                "Error - bodyparts must have unique labels! Please choose unique bodyparts in config.yaml file and try again. Quitting for now!"
            )
            self.Close(True)

        self.uniquebodyparts = uniquebodyparts
        self.individual_names = individuals

        self.videos = self.cfg["video_sets"].keys()

Instances