857cb1f38abfc3f467b6a8e53ae54365e05fcff2,deeplabcut/generate_training_dataset/labeling_toolbox.py,MainFrame,browseDir,#MainFrame#Any#,348

Before Change

        //self.labeled_imgs = np.sort(glob.glob(os.path.join(self.dir,"*_labeled.png")))
        //self.index = np.sort(list(set(self.index) - set(self.labeled_imgs)))
        self.statusbar.SetStatusText("Working on folder: {}".format(os.path.split(str(self.dir))[-1]))
        print("Working on folder: {}".format(os.path.split(str(self.dir))[-1]))
        self.relativeimagenames=["labeled"+n.split("labeled")[1] for n in self.index]//[n.split(self.project_path+"/")[1] for n in self.index]

        self.iter = 0

After Change

                values = self.dataFrame.loc[j,:].values
                if np.prod(np.isnan(values)) == 1:
                    self.iter = idx
                    break
                else:
                    self.iter = idx
                    
        except:

Instances