cleaned up app.py

app.py

@@ -13,24 +13,7 @@ model.conf = 0.20  # NMS confidence threshold
 
 path  = [['img/test-image.jpg'], ['img/test-image-2.jpg']]
 
-# def show_preds_image(image_path):
-#     image = cv2.imread(image_path)
-#     outputs = model.predict(source=image_path)
-#     results = outputs[0].cpu().numpy()
-#     for i, det in enumerate(results.boxes.xyxy):
-#         cv2.rectangle(
-#             image,
-#             (int(det[0]), int(det[1])),
-#             (int(det[2]), int(det[3])),
-#             color=(0, 0, 255),
-#             thickness=2,
-#             lineType=cv2.LINE_AA
-#         )
-#     return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
-
 def show_preds_image(im):
-    #g = (size / max(im.size))  # gain
-    #im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS)  # resize
 
     results = model(im)  # inference
     return results.render()[0]