65094fc108c9db13fde4cbd5ab99491413842007,keras_retinanet/preprocessing/csv_generator.py,CSVGenerator,load_annotations,#CSVGenerator#Any#,199

Before Change

        
        path   = self.image_names[image_index]
        annots = self.image_data[path]
        boxes  = np.zeros((len(annots), 5))

        for idx, annot in enumerate(annots):
            class_name = annot["class"]

After Change

         Load annotations for an image_index.
        
        path        = self.image_names[image_index]
        annotations = {"labels": np.empty((0,)), "bboxes": np.empty((0, 4))}

        for idx, annot in enumerate(self.image_data[path]):
            annotations["labels"] = np.concatenate((annotations["labels"], [self.name_to_label(annot["class"])]))
            annotations["bboxes"] = np.concatenate((annotations["bboxes"], [[
                float(annot["x1"]),
                float(annot["y1"]),
                float(annot["x2"]),

Instances