Update app.py

app.py

@@ -24,7 +24,7 @@ model_path = 'model_final.pth'
 
 cfg = get_cfg()
 cfg.merge_from_file(model_zoo.get_config_file("COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml"))
-cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.5
+cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.75
 cfg.MODEL.ROI_HEADS.NUM_CLASSES = 19
 cfg.MODEL.WEIGHTS = model_path
 
@@ -34,6 +34,25 @@ if not torch.cuda.is_available():
     
 predictor = DefaultPredictor(cfg)
 my_metadata = MetadataCatalog.get("car_parts_dataset_val")
+my_metadata..thing_classes = ['_background_',
+ 'back_bumper',
+ 'back_glass',
+ 'back_left_door',
+ 'back_left_light',
+ 'back_right_door',
+ 'back_right_light',
+ 'front_bumper',
+ 'front_glass',
+ 'front_left_door',
+ 'front_left_light',
+ 'front_right_door',
+ 'front_right_light',
+ 'hood',
+ 'left_mirror',
+ 'right_mirror',
+ 'tailgate',
+ 'trunk',
+ 'wheel']
 
 def inference(image):
     print(image.height)