diff --git a/detect.py b/detect.py
index a79b8021..d6419838 100644
--- a/detect.py
+++ b/detect.py
@@ -43,7 +43,13 @@ def detect(save_txt=False, save_img=False):
     # Export mode
     if ONNX_EXPORT:
         img = torch.zeros((1, 3) + img_size)  # (1, 3, 320, 192)
-        torch.onnx.export(model, img, 'weights/export.onnx', verbose=True)
+        torch.onnx.export(model, img, 'weights/export.onnx', verbose=False, opset_version=11)
+
+        # Validate exported model
+        import onnx
+        model = onnx.load('weights/export.onnx')  # Load the ONNX model
+        onnx.checker.check_model(model)  # Check that the IR is well formed
+        print(onnx.helper.printable_graph(model.graph))  # Print a human readable representation of the graph
         return
 
     # Half precision
@@ -148,7 +154,7 @@ if __name__ == '__main__':
     parser = argparse.ArgumentParser()
     parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
     parser.add_argument('--data', type=str, default='data/coco.data', help='coco.data file path')
-    parser.add_argument('--weights', type=str, default='weights/yolov3-spp.weights', help='path to weights file')
+    parser.add_argument('--weights', type=str, default='weights/last49.pt', help='path to weights file')
     parser.add_argument('--source', type=str, default='data/samples', help='source')  # input file/folder, 0 for webcam
     parser.add_argument('--output', type=str, default='output', help='output folder')  # output folder
     parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')