Update app.py

app.py

@@ -2,8 +2,8 @@ import cv2
 import numpy as np
 
 # Load the SSD model and configuration
-model_path = 'saved_model.pb'   # Path to the pre-trained SSD model
-config_path = 'pipeline.config'           # Path to the deploy prototxt file
+model_path = 'MobileNetSSD_deploy.caffemodel'   # Path to the pre-trained SSD model
+config_path = 'MobileNetSSD_deploy.prototxt.txt'           # Path to the deploy prototxt file
 
 # Load the class labels from the COCO dataset
 CLASSES = [
@@ -21,7 +21,7 @@ CLASSES = [
 ]
 
 # Initialize the OpenCV DNN network
-net = cv2.dnn.readNetFromTensorflow(config_path,model_path)
+net = cv2.dnn.readNetFromCaffe(config_path,model_path)
 
 # Function to process the video frame and detect objects
 def detect_objects_in_frame(frame):