Getting list index out of range error when fetching boxes from model

[aansrajpoot]

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I trained the yolo8 nano model from Ultrlytics and downloaded the .tflite model for inferencing. Now when I am running the code I am getting this error. I don't know how to solve this issue. So, that I can get boxes, classes, and scores. This is how I'm importing Interpreter. Import tensorflow as tf interpreter = tf.lite.Interpreter(model_path=modelpath)

This is the error I'm getting: Traceback (most recent call last): File "E:\PycharmProjects\tflitemodel\modeltest2.py", line 130, in tflite_detect_images(PATH_TO_MODEL, PATH_TO_IMAGES, PATH_TO_LABELS, min_conf_threshold, images_to_test) File "E:\PycharmProjects\tflitemodel\modeltest2.py", line 68, in tflite_detect_images boxes = interpreter.get_tensor(output_details[1]['index'])[0] # Bounding box coordinates of detected objects ~~~~~~~~~~~~~~^^^ IndexError: list index out of range

Please help me to solve this issue. Thanks