Update app.py

app.py

@@ -29,7 +29,7 @@ session = onnxruntime.InferenceSession(str(model_path), providers=['CUDAExecutio
 
 # Generate random colors for each class
 np.random.seed(42)
-colors = np.random.uniform(0, 255, size=(80, 3))  # COCO dataset has 80 classes
+colors = np.random.uniform(0, 255, size=(80, 3))  
 
 total_inference_time = 0
 inference_count = 0
@@ -43,7 +43,7 @@ def detect_objects(image):
     start_time = time.time()
 
     image = cv2.resize(image, (416, 416))  
-    image = image.astype(np.float32) / 255.0  e
+    image = image.astype(np.float32) / 255.0 
     image = np.transpose(image, (2, 0, 1))  
     image = np.expand_dims(image, axis=0)