README file

ImageRecognition/README.md

@@ -0,0 +1,24 @@
+## Technology
+<p align="center">
+  <a href="https://www.ultralytics.com" target="blank"><img src="https://assets-global.website-files.com/646dd1f1a3703e451ba81ecc/64777c3e071ec953437e6950_logo.svg"  alt="Ultralytics Yolo" /></a>
+</p>
+
+Ultralytics YOLO for building accurate and efficient object detection models.
+
+## Running the app
+First, open the terminal and move to the ImageRecognition directiory.
+Run send_frame.py for sending camera frames:
+
+```bash
+python send_frame.py
+```
+
+To start the object detection function move to the src directory and run ObjectDetectionYOLO.py:
+
+```bash
+python ObjectDetectionYOLO.py
+```
+
+## Learn More
+To learn more about YOLO architecture, take a look at the following resource:
+- [YOLO Documentation](https://docs.ultralytics.com).

ImageRecognition/requirements.txt

@@ -1,4 +1,5 @@
 opencv-python~=4.8.1.78
 numpy~=1.26.1
 ping3~=4.0.4
-ffmpeg-python~=0.2.0
+python>=3.8
+PyTorch>=1.8

ImageRecognition/send_frame.py

@@ -1,6 +1,5 @@
 import cv2
 import socketio
-import base64
 import threading
 
 #cameras data
@@ -40,7 +39,7 @@ def send_frames(camera_id, capture, interval=0.1):
 for camera_id, camera_url in cameras.items():
     capture = cv2.VideoCapture(camera_url)
     if not capture.isOpened():
-        print(f"Errore nell'apertura della telecamera {camera_id}")
+        print(f"Error stream with camera {camera_id}")
         continue
 
     threading.Thread(target=send_frames, args=(camera_id, capture)).start()