created obj detction code 1.1

pages/Object_Detection.py

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+import streamlit as st
+from PIL import Image
+import cv2
+import numpy as np
+import cvlib as cv
+from cvlib.object_detection import draw_bbox
+
+# Streamlit UI
+st.title("Object Detection with YOLO")
+uploaded_image = st.file_uploader("Upload an image", type=["jpg", "png", "jpeg"])
+
+if uploaded_image is not None:
+    image = Image.open(uploaded_image)
+    st.image(image, caption="Uploaded Image", use_column_width=True)
+
+    if st.button("Detect Objects"):
+        st.write("Detecting objects...")
+
+        # Convert the uploaded image to a NumPy array
+        image_np = np.array(image)
+
+        # Use YOLOv3 for object detection
+        bbox, label, conf = cv.detect_common_objects(image_np)
+
+        # Draw bounding boxes on the image
+        output_image = draw_bbox(image_np, bbox, label, conf)
+
+        # Convert the NumPy array back to an image
+        output_image = Image.fromarray(output_image)
+
+        # Display the image with bounding boxes
+        st.image(output_image, caption="Objects Detected", use_column_width=True)
+
+st.text("Upload an image and click the 'Detect Objects' button to see object detection results using YOLO.")