Update app.py

app.py

@@ -20,7 +20,6 @@ def nms(final_boxes, scores, IOU_threshold=0):
 
     boxes = [list(map(int, i)) for i in boxes]
     boxes = np.array(boxes)
-    #print(boxes)
     
     x1 = boxes[:, 0]
     y1 = boxes[:, 1]
@@ -31,7 +30,6 @@ def nms(final_boxes, scores, IOU_threshold=0):
     area = (x2 - x1)*(y2 - y1)
 
     order = np.argsort(scores)
-    #print(order)
 
     pick = []
 
@@ -73,11 +71,9 @@ def detect_obj(input_image):
 
         image = image.astype(np.float32)
         image = np.expand_dims(image, axis=0)
-        print(image.shape)
 
         output = m.run(['reshape'], {"input": image})
         output = np.squeeze(output, axis=0)
-        print(output.shape)
 
         THRESH=.25
 
@@ -122,7 +118,6 @@ def detect_obj(input_image):
 
         nms_output = nms(final_boxes, final_scores, 0.3)
 
-        print(nms_output)
         for i in nms_output:
             cv2.rectangle(
                 img,