d141d7538e5aef40d31d7fea444fab30b85b3b35,cellprofiler/modules/classifyobjects.py,ClassifyObjects,run_two_measurements,#ClassifyObjects#Any#,514

Before Change

            else:
                raise ValueError("Unknown threshold method: %s" %
                                 threshold_method.value)
            in_high_class.append(values[~np.isnan(values)] >= t)
        feature_names = self.get_feature_name_matrix()
        num_values = len(values)
        for i in range(2):

After Change

            object_codes = class_1.astype(int)+class_2.astype(int)*2 + 1
            object_codes = np.hstack(([0], object_codes))
            object_codes[np.hstack((False,np.isnan(values)))] = 0
            nobjects = len(class_1)
            mapping = np.zeros(nobjects+1, int)
            mapping[1:] = np.arange(1, nobjects+1)
            for i in range(2): 
                mapping[np.isnan(saved_values[i])] = 0  
            labels = object_codes[mapping[objects.segmented]]
            colors = self.get_colors(4)
            image = colors[labels,:3]

Instances