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https://gitlab.fdmci.hva.nl/technische-informatica-sm3/ti-projectten/rooziinuubii79.git
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Merge branch 'main' into 35-als-gebruiker-wil-ik-dat-mijn-data-word-opgeslagen-in-een-database-om-data-terug-te-zien
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@@ -1,13 +1,54 @@
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from flask import Flask, request, render_template, jsonify, g
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from flask import Flask, Response, request, render_template, jsonify
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import paho.mqtt.client as mqtt
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from ultralytics import YOLO
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import cv2
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import numpy as np
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import threading
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import mysql.connector
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import json
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app = Flask(__name__)
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# Globale variabelen
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# Load a model
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model = YOLO("yolo11n.pt") # pretrained YOLO11n model
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kobuki_message = ""
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latest_image = None
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processed_image = None
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yolo_results = []
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# Lock for thread-safe access to shared variables
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lock = threading.Lock()
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# List of class names (example for COCO dataset)
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yolo_classes = list(model.names.values())
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def on_message(client, userdata, message):
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global kobuki_message, latest_image, processed_image, yolo_results
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if message.topic == "kobuki/data":
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kobuki_message = str(message.payload.decode("utf-8"))
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elif message.topic == "kobuki/cam":
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with lock: # Lock the shared variables between threads so they can't be accessed at the same time and you cant have half processed images
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latest_image = np.frombuffer(message.payload, np.uint8)
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latest_image = cv2.imdecode(latest_image, cv2.IMREAD_COLOR)
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# Process the image with YOLO
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results = model(latest_image)
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yolo_results = []
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processed_image = latest_image.copy() # Create a copy for processing
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for result in results:
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for box in result.boxes:
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class_id = int(box.cls.item())
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class_name = yolo_classes[class_id]
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yolo_results.append({
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"class": class_name,
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"confidence": box.conf.item(),
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"bbox": box.xyxy.tolist()
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})
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# Draw bounding box on the processed image
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x1, y1, x2, y2 = map(int, box.xyxy[0])
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cv2.rectangle(processed_image, (x1, y1), (x2, y2), (0, 255, 0), 2)
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cv2.putText(processed_image, f"{class_name} {box.conf.item():.2f}", (x1, y1 - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)
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# Globale MQTT setup
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def on_message(client,userdata, message):
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@@ -26,6 +67,9 @@ mqtt_client.username_pw_set("server", "serverwachtwoordofzo")
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mqtt_client.connect("localhost", 1884, 60)
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mqtt_client.loop_start()
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mqtt_client.subscribe("kobuki/data")
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mqtt_client.subscribe("kobuki/cam")
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mqtt_client.on_message = on_message # this line needs to be under the function definition otherwise it can't find which function it needs to use
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mqtt_client.on_message = on_message # this line needs to be under the function definition otherwise it can't find which function it needs to use
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@@ -60,11 +104,6 @@ def control():
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else:
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return ('Unauthorized', 401, {'WWW-Authenticate': 'Basic realm="Login Required"'})
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@app.route('/data', methods=['GET'])
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def data():
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return kobuki_message
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@app.route('/move', methods=['POST'])
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def move():
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data = request.get_json()
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@@ -127,5 +166,28 @@ def sensor_data(kobuki_message):
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except mysql.connector.Error as err:
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print(f"Database error: {err}")
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@app.route('/data', methods=['GET'])
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def data():
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return kobuki_message
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@app.route('/image')
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def image():
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global processed_image
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with lock: # Lock the shared variables between threads so they can't be accessed at the same time and you cant have half processed images
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if processed_image is not None:
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_, buffer = cv2.imencode('.jpg', processed_image)
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return Response(buffer.tobytes(), mimetype='image/jpeg')
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else:
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return "No image available", 404
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@app.route('/yolo_results', methods=['GET'])
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def yolo_results_endpoint():
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global yolo_results
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with lock:
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return jsonify(yolo_results)
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if __name__ == '__main__':
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app.run(debug=True, port=5000)
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app.run(debug=True, port=5000)
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