test model file

app.py

@@ -24,8 +24,7 @@ import numpy as np
 from model import AppModel
 
 DESCRIPTION = '''# MMDetection
-This is an unofficial demo for [https://github.com/open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection).
-<img id="overview" alt="overview" src="https://user-images.githubusercontent.com/12907710/137271636-56ba1cd2-b110-4812-8221-b4c120320aa9.png" />
+This is a demo of MMDetection framework trained on biological dataset [Orgaquant](https://www.nature.com/articles/s41598-019-48874-y) to perform organoid detection.
 '''
 
 DEFAULT_MODEL_TYPE = 'detection'

model.py

@@ -54,6 +54,7 @@ class Model:
         | tuple[list[np.ndarray], list[list[np.ndarray]]]
         | dict[str, np.ndarray],
             score_threshold: float = 0.3) -> np.ndarray:
+        print('Detection results',detection_results)
         vis = self.model.show_result(image,
                                      detection_results,
                                      score_thr=score_threshold,