changed find_bats to use list comprehension. and removed learn.predict progress bar

detector.py

@@ -59,15 +59,8 @@ def find_bats(allImgs):
 
     for img in allImgs:
         blobs = cv.findContours(img[1], cv.RETR_LIST, cv.CHAIN_APPROX_SIMPLE)[-2]
-        # Process the blobs
-        for blob in blobs:
-            if batDepthMin < cv.contourArea(blob) < batDepthMax:  # Only process blobs with a min / max size 
-                rect = cv.minAreaRect(blob)
-                box = cv.boxPoints(rect)
-                box = np.int0(box)
-                cropped_bat = crop_bat(img[0], box)
-                cropped_bats.append(cropped_bat)
-                        
+        cropped_bats.extend([crop_bat(img[0], np.int0(cv.boxPoints(cv.minAreaRect(blob)))) for blob in blobs if batDepthMin < cv.contourArea(blob) < batDepthMax]) 
+                               
     return cropped_bats
 
 def bat_detector(img):
@@ -80,7 +73,8 @@ def bat_detector(img):
 
     # temp = pathlib.PosixPath
     # pathlib.PosixPath = pathlib.WindowsPath
-    learn = load_learner("model.pkl")
+    with learn.no_bar(), learn.no_logging():
+        learn = load_learner("model.pkl")
 
     for bat in cropped_bats:
         label, _, probs = learn.predict(bat)