.

app.py

@@ -42,7 +42,7 @@ from skimage import exposure
 
 import pandas as pd
 
-
+map_resume = [{"label": "", "qtt": 0}]
 cdl_color_map = [{'value': 1, 'label': 'Natural vegetation', 'rgb': (233,255,190), 'qtt': 0},
                  {'value': 2, 'label': 'Forest', 'rgb': (149,206,147), 'qtt': 0},
                  {'value': 3, 'label': 'Corn', 'rgb': (255,212,0), 'qtt': 0},
@@ -244,7 +244,7 @@ config.model.backbone.pretrained=None
 model = init_segmentor(config, ckpt, device='cpu')
 custom_test_pipeline=process_test_pipeline(model.cfg.data.test.pipeline, None)
 
-map_resume = [{"label": "", "qtt": 0}]
+
 func = partial(inference_on_file, model=model, custom_test_pipeline=custom_test_pipeline, map_resume=map_resume)
 print("")
 bar_data = pd.DataFrame(map_resume)