Pytorch 从Detectron2'；COCOEvaluator

标准输出的度量比输出文件夹中的输出有用得多

标准输出

metrics.json

和

coco\u实例\u结果.json

我如何获得ioU=0.5或每个类别bbox AP的平均感知等详细信息

def test(instance, cfg, trainer, test_instance):  
  cfg.MODEL.WEIGHTS = os.path.join(cfg.OUTPUT_DIR, "model_final.pth")
  cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.7   # TODO What is this
  cfg.DATASETS.TEST = (test_instance, )
  predictor = DefaultPredictor(cfg)
  evaluator = COCOEvaluator(test_instance, cfg, False, output_dir=cfg.OUTPUT_DIR)
  val_loader = build_detection_test_loader(cfg, test_instance)
  result = inference_on_dataset(trainer.model, val_loader, evaluator)