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app.py

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+# app.py
+
+import cv2
+import numpy as np
+import cvlib as cv
+from cvlib.object_detection import draw_bbox
+import streamlit as st
+from PIL import Image
+from collections import Counter
+
+# Streamlit app title
+st.set_page_config(page_title="Object Detection App", page_icon="🖼️", layout="centered")
+st.title("Object Detection with cvlib 🖼️")
+
+# Custom header and instructions
+st.markdown("""
+### Detect Objects in Your Images
+Upload an image to automatically detect common objects and get a count of each detected object. 
+The application will display the image with bounding boxes around the objects.
+""")
+
+# Upload image
+st.markdown("### Step 1: Upload an Image for Object Detection")
+uploaded_file = st.file_uploader("Choose an image...", type=["png", "jpg", "jpeg"])
+
+if uploaded_file is not None:
+    # Convert image file to OpenCV format
+    image = np.array(Image.open(uploaded_file))
+
+    # Perform object detection
+    box, label, count = cv.detect_common_objects(image)
+    
+    # Draw bounding boxes on the image
+    output_image = draw_bbox(image, box, label, count)
+    
+    # Step 2: Display image with bounding boxes
+    st.markdown("### Step 2: Detected Objects in the Image")
+    st.image(output_image, channels="BGR", use_column_width=True)
+    
+    # Step 3: Display the count of detected objects dynamically
+    st.markdown("### Step 3: Detected Objects Count")
+    
+    # Count each label in the image using Counter
+    label_counts = Counter(label)
+    
+    # Display counts in a well-formatted table
+    for obj, count in label_counts.items():
+        st.markdown(f"**{obj.capitalize()}s**: {count}")
+        
+    st.markdown("""
+    ---
+    ### Tips:
+    - You can upload different images to see how the object detection model works.
+    - Supported formats: PNG, JPG, JPEG.
+    - The app uses cvlib to detect common objects in the images, such as people, cars, trucks, and more.
+    """)
+
+# Display a footer
+st.markdown("""
+---
+Made with ❤️ by [SenasuDemir](https://github.com/SenasuDemir).
+""")

requirements.txt

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+opencv-python-headless=
+cvlib
+streamlit
+Pillow
+collections