def build_evaluator()

in detection/train_net.py [0:0]

• 8 lines of code
• 3 McCabe index (conditional complexity)

    def build_evaluator(cls, cfg, dataset_name, output_folder=None):
        if output_folder is None:
            output_folder = os.path.join(cfg.OUTPUT_DIR, "inference")
        if "coco" in dataset_name:
            return COCOEvaluator(dataset_name, cfg, True, output_folder)
        else:
            assert "voc" in dataset_name
            return PascalVOCDetectionEvaluator(dataset_name)