Update detector.py

detector.py

@@ -68,8 +68,10 @@ def find_bats(allImgs):
                 box = cv.boxPoints(rect)
                 box = np.int0(box)
                 cropped_bat = crop_bat(img[0], box)
+                start = time.time()
                 with learn.no_bar(), learn.no_logging():
                     label, _, probs = learn.predict(cropped_bat)
+                print(f"learn.predict completed in {time.time()-start:.2f} seconds")
                 p_not_bat=f"{probs[0]:.4f}"
                 p_bat=f"{probs[1]:.4f}"
                 if p_not_bat < '0.9' and p_bat > '0.5':