get results from Yolov8 converted to tflite model

[fedalal2]

Hi,
I'm convert yolov8 model to tflite. I get float16.tflite and float32.tflite files.
Then I'm trying to use this tfiles to detect object using tensor flow lite python example

import tensorflow as tf
import cv2
model_path = "last11_06_float32.tflite"
interpreter = tf.lite.Interpreter(model_path=model_path)
interpreter.allocate_tensors()
input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()
input_shape = input_details[0]['shape']

image = cv2.imread("111.png")
image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
image_resized = cv2.resize(image_rgb, (800, 800))
input_image = np.expand_dims(image_resized, axis=0)
input_data = np.array(input_image.reshape(input_shape), dtype=np.float32)
interpreter.set_tensor(input_details[0]['index'], input_data)

interpreter.invoke()

Problem is that I can't get detect results in good format (class, bounding box)
Can you please provide how correctly get detect results?

Best Regards,
Alex