尝试运行基于 PysimpleGUIqt 的代码时出错

如何解决尝试运行基于 PysimpleGUIqt 的代码时出错

我正在尝试使用 PysimpleGUIqt 运行代码，但出现以下错误：

我已尝试安装 windows，但出现以下错误：

如果我尝试安装 window，它将被安装，但错误仍然存​​在。我什至安装了 pyqt5 但没有任何改变。不知道如何解决它。整个代码附在下面供您参考，最初取自here：

import numpy as np
import argparse
import time
import cv2
import os
import PySimpleGUIQt as sg

layout =    [
        [sg.Text('YOLO')],[sg.Text('Path to image'),sg.In(r'C:/Python/PycharmProjects/YoloObjectDetection/images/baggage_claim.jpg',size=(40,1),key='image'),sg.Filebrowse()],[sg.Text('Yolo base path'),sg.In(r'yolo-coco',key='yolo'),sg.Folderbrowse()],[sg.Text('Confidence'),sg.Slider(range=(0,10),orientation='h',resolution=1,default_value=5,size=(15,15),key='confidence')],[sg.Text('Threshold'),default_value=3,key='threshold')],[sg.OK(),sg.Cancel(),sg.Stretch()]
            ]

win = sg.Window('YOLO',default_element_size=(14,text_justification='right',auto_size_text=False).Layout(layout)
event,values = win.Read()
args = values
win.Close()

args['threshold'] = float(args['threshold']/10)
args['confidence'] = float(args['confidence']/10)

labelsPath = os.path.sep.join([args["yolo"],"coco.names"])
LABELS = open(labelsPath).read().strip().split("\n")

np.random.seed(42)
COLORS = np.random.randint(0,255,size=(len(LABELS),3),dtype="uint8")

weightsPath = os.path.sep.join([args["yolo"],"yolov3.weights"])
configPath = os.path.sep.join([args["yolo"],"yolov3.cfg"])

print("[INFO] loading YOLO from disk...")
net = cv2.dnn.readNetFromDarknet(configPath,weightsPath)

image = cv2.imread(args["image"])

(H,W) = image.shape[:2]

ln = net.getLayerNames()
ln = [ln[i[0] - 1] for i in net.getUnconnectedOutLayers()]


blob = cv2.dnn.blobFromImage(image,1 / 255.0,(416,416),swapRB=True,crop=False)
net.setInput(blob)
start = time.time()
layerOutputs = net.forward(ln)
end = time.time()


print("[INFO] YOLO took {:.6f} seconds".format(end - start))


Boxes = []
confidences = []
classIDs = []

for output in layerOutputs:
    for detection in output:
        
        scores = detection[5:]
        classID = np.argmax(scores)
        confidence = scores[classID]

    
        if confidence > args["confidence"]:
        
            Box = detection[0:4] * np.array([W,H,W,H])
            (centerX,centerY,width,height) = Box.astype("int")

            
            x = int(centerX - (width / 2))
            y = int(centerY - (height / 2))

        
            Boxes.append([x,y,int(width),int(height)])
            confidences.append(float(confidence))
            classIDs.append(classID)


idxs = cv2.dnn.NMSBoxes(Boxes,confidences,args["confidence"],args["threshold"])

if len(idxs) > 0:
    for i in idxs.flatten():
        (x,y) = (Boxes[i][0],Boxes[i][1])
        (w,h) = (Boxes[i][2],Boxes[i][3])

        color = [int(c) for c in COLORS[classIDs[i]]]
        cv2.rectangle(image,(x,y),(x + w,y + h),color,2)
        text = "{}: {:.4f}".format(LABELS[classIDs[i]],confidences[i])
        cv2.putText(image,text,y - 5),cv2.FONT_HERShey_SIMPLEX,0.5,2)

imgbytes = cv2.imencode('.png',image)[1].tobytes()  # ditto


layout =    [
        [sg.Text('Yolo Output')],[sg.Image(data=imgbytes)],sg.Cancel()]
            ]

win = sg.Window('YOLO',values = win.Read()
win.Close()

cv2.waitKey(0)

编辑：

根据@Robert Davis 的建议，我尝试修改 %QT_PLUGIN_PATH%，但我的系统环境中没有这样的路径。

解决方法

看起来很奇怪，但我只是在序言中做了这个改动：

import PySimpleGUI as sg

代替：

import PySimpleGUIQt as sg

现在一切都好了。