System Information

OpenCV python version: 4.7.0.68
Operating System / Platform: Windows 11
Python version: 3.9.6

Detailed description

When I infer a model with the same input many times, the output are different. For example, the score is sometimes almost 0 and sometimes almost 1. This has a significant impact on the application of the model.

The result of onnxruntime is normal.

Steps to reproduce

model file and input data: test.zip

import numpy as np
import cv2 as cv

model = cv.dnn.readNet("path/to/model")
model.setPreferableBackend(0)
model.setPreferableTarget(0)

input_blob = np.load("path/to/input.npy")
model.setInput(input_blob)
output_blob = model.forward(model.getUnconnectedOutLayersNames())
landmarks, conf, mask, heatmap, landmarks_word = output_blob 

print(conf[0][0])

Issue submission checklist

• I report the issue, it's not a question
• I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution
• I updated to the latest OpenCV version and the issue is still there
• There is reproducer code and related data files (videos, images, onnx, etc)