added yolo image object detection to /image

src/Python/YOLO/app.py

@@ -0,0 +1,41 @@
+from ultralytics import YOLO
+import cv2
+import numpy as np
+import requests
+import time
+
+model = YOLO("yolo11n.pt") 
+
+#try to fetch the image from the given url
+def fetch_image(url):
+    try:
+        response = requests.get(url)
+        response.raise_for_status()
+        image_array = np.frombuffer(response.content, np.uint8)
+        image = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
+        return image
+    except requests.RequestException as e:
+        print(f"Error: Could not fetch image - {e}")
+        return None
+
+# URL of the photostream
+url = "http://145.92.224.21/image"
+
+while True:
+    frame = fetch_image(url)
+    if frame is None:
+        print("Error: Could not fetch image, retrying...")
+        time.sleep(1)  # Wait for 1 second before retrying
+        continue
+
+    # Predict on the frame
+    results = model(frame)
+
+    # Display the results
+    results[0].show()
+
+    # Exit if 'q' is pressed
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+cv2.destroyAllWindows()