Update app.py

app.py

@@ -29,8 +29,9 @@ modelo_yolo = YOLO(path_best_model)
 def detect_objects(size, iou, conf, im):
     '''Wrapper fn for gradio'''
     g = (int(size) / max(im.size))  # gain
-    im = im.resize((int(x * g) for x in im.size), Image.LANCZOS) # resize with antialiasing
-    im = np.asarray(im, dtype=np.float32)
+    im = im.resize(tuple([int(x * g) for x in im.size]), Image.LANCZOS) # resize with antialiasing
+    #im = im.resize((int(x * g) for x in im.size), Image.LANCZOS) # resize with antialiasing
+    #im = np.asarray(im, dtype=np.float32)
 
     model = YOLODetect(modelo_yolo)
     results = model.predecir(source=im, imgsz=int(size), conf=conf, iou=iou)