jo

app.py

@@ -37,8 +37,8 @@ path  = [['img/test-image.jpg'], ['img/test-image-2.jpg']]
 #     return results.show()
 
 def show_preds_image(im, size=640):
-    g = (size / max(im.size))  # gain
-    im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS)  # resize
+    #g = (size / max(im.size))  # gain
+    #im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS)  # resize
 
     results = model(im)  # inference
     results.render()  # updates results.imgs with boxes and labels