trying zero object detection

app.py

@@ -1,5 +1,7 @@
 import streamlit as st
 import torch
+import cv2
+import numpy as np
 from PIL import Image
 from transformers import pipeline, OwlViTProcessor, OwlViTForObjectDetection
 from tempfile import NamedTemporaryFile
@@ -40,8 +42,10 @@ if uploaded_image_zero_file is not None:
     with NamedTemporaryFile() as temp:
         temp.write(uploaded_image_zero_file.getvalue())
         temp.seek(0)
+        file_bytes = np.asarray(bytearray(uploaded_image_zero_file.read()), dtype=np.uint8)
+        opencv_image = cv2.imdecode(file_bytes, 1)
+        st.image(opencv_image, channels="BGR")
         image = Image.open(temp.name)
-        st.image(image)
         inputs = processor(text=texts, images=image, return_tensors="pt")
         outputs = model(**inputs)
         target_sizes = torch.Tensor([image.size[::-1]])