System Information

OpenCV python version: 4.8.1.78
Operating System / Platform: Ubuntu 22.04
Python version: 3.10.12

Detailed description

In CV_TRY_AVX2 scope, AVX implementation(opt_AVX::winofunc_AtXA_8x8_f32) was called.
https://github.com/opencv/opencv/blob/4.8.1/modules/dnn/src/layers/cpu_kernels/conv_winograd_f63.cpp#L275-L286

#if CV_TRY_AVX2
                        if (conv->useAVX2)
                            opt_AVX::winofunc_AtXA_8x8_f32(out_wbuf + ((k - k0)*CONV_WINO_IBLOCK + (block_id - block_id0))*CONV_WINO_AREA, CONV_WINO_SIZE,
                                                                bpptr, outstep, outptr, outstep, biasv, minval, maxval, ifMinMaxAct);
                        else
#endif

Steps to reproduce

import cv2

net = cv2.dnn.readNet("yolov4.weights", "yolov4.cfg")
net.setPreferableBackend(cv2.dnn.DNN_BACKEND_OPENCV)
net.setPreferableTarget(cv2.dnn.DNN_TARGET_CPU)

model = cv2.dnn_DetectionModel(net)
model.setInputParams(size=(416, 416), scale=1.0/255.0, swapRB=True)

frame = cv2.imread("dog.jpg")

CONFIDENCE_THRESHOLD = 0.2
NMS_THRESHOLD = 0.4
classes, scores, boxes = model.detect(frame, CONFIDENCE_THRESHOLD, NMS_THRESHOLD)

• yolov4.weights
• yolov4.cfg
• coco.names
• dog.jpg

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)