我发送了一个Raspberry Pi来使用yolov8的训练文件。虽然计算机代码没有任何错误，但我在Raspberry Pi上遇到了一个错误。我从一开始安装ultralytics时就遇到了“非法指令”错误。在我的研究中，我发现torch和torchvision也会有同样的错误。
Used card：Raspberry Pi 3B+，Raspbian 64 Bit OS，Python 3.9.2，
为什么它在我的电脑上工作，而不是树莓？

如果你能帮忙我会很高兴的。

from ultralytics import YOLO
import supervision as sv
import cv2

cap = cv2.VideoCapture(0)
model = YOLO(r"train/best.pt")

box_a = sv.BoxAnnotator(

    thickness=2,

    text_thickness=2,

    text_scale=1
)
while True:

    ret,frame = cap.read()

    sonuc=model(source=frame, agnostic_nms=True)[0]

    detection = sv.Detections.from_yolov8(sonuc)
    labels = [

        f"{model.model.names[class_id]}{confidence:0.2f}"
        for _,confidence,class_id,_
        in detection

    ]

    frame = box_a.annotate(
        scene=frame,
        detections=detection,
        labels=labels
    )
    # Dur için = 0, Düz Git = 1, İnsan = 2, Sağ Dön = 3, Sola Dön = 4

    if len(detection.class_id)>0:

        x = detection.class_id[0]
        x1, y1, x2, y2 = int(detection.xyxy[0, 0]), int(detection.xyxy[0, 1]), int(detection.xyxy[0, 2]), int(
            detection.xyxy[0, 3])
        width = x2 - x1
        if width>180:
            if x == 0 and width>180:
                #Dur levhasını tanımıştır.
                pass

            elif x == 1:
                # Düz git levhası
                pass

            elif x ==2:
                # İnsan figürü
                pass

            elif x==3:
                # Sağa dön levhası
                pass

            elif x==4:
                # Sola dön levhası
                pass

            else:
                pass

    cv2.imshow("Deneme",frame)
    if cv2.waitKey(20) &0XFF==ord("q"):

        break
cap.release()

cv2.destroyAllWindows()

我安装了pytorch 1.13，torchvision，ultralytics git page，但在raspberry pi上不工作，而在电脑上工作。