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opencv hata

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  • cv2.error: OpenCV(4.5.2) C:\Users\runneradmin\AppData\Local\Temp\pip-req-build-vi271kac\opencv\modules\imgproc\src\color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'



    bu hatayı alıyorum çözümü bilen var mı acaba

    Kod

    Yığını:
    import cv2 #for image processing import easygui #to open the filebox import numpy as np #to store image import imageio #to read image stored at particular path import sys import matplotlib.pyplot as plt import os import tkinter as tk from tkinter import filedialog from tkinter import * from PIL import ImageTk, Image top=tk.Tk() top.geometry('400x400') top.title('Cartoonify Your Image !') top.configure(background='white') label=Label(top,background='#CDCDCD', font=('calibri',20,'bold')) def upload():     ImagePath=easygui.fileopenbox()     cartoonify(ImagePath) def cartoonify(ImagePath):     # read the image     originalmage = cv2.imread(ImagePath)     originalmage = cv2.cvtColor(originalmage, cv2.COLOR_BGR2RGB)     #print(image)  # image is stored in form of numbers     # confirm that image is chosen     if originalmage is None:         print("Can not find any image. Choose appropriate file")         sys.exit()     ReSized1 = cv2.resize(originalmage, (960, 540))     #plt.imshow(ReSized1, cmap='gray')     #converting an image to grayscale     grayScaleImage= cv2.cvtColor(originalmage, cv2.COLOR_BGR2GRAY)     ReSized2 = cv2.resize(grayScaleImage, (960, 540))     #plt.imshow(ReSized2, cmap='gray')     #applying median blur to smoothen an image     smoothGrayScale = cv2.medianBlur(grayScaleImage, 5)     ReSized3 = cv2.resize(smoothGrayScale, (960, 540))     #plt.imshow(ReSized3, cmap='gray')     #retrieving the edges for cartoon effect     #by using thresholding technique     getEdge = cv2.adaptiveThreshold(smoothGrayScale, 255,          cv2.ADAPTIVE_THRESH_MEAN_C,          cv2.THRESH_BINARY, 9, 9)     ReSized4 = cv2.resize(getEdge, (960, 540))     #plt.imshow(ReSized4, cmap='gray')     #applying bilateral filter to remove noise      #and keep edge sharp as required     colorImage = cv2.bilateralFilter(originalmage, 9, 300, 300)     ReSized5 = cv2.resize(colorImage, (960, 540))     #plt.imshow(ReSized5, cmap='gray')     #masking edged image with our "BEAUTIFY" image     cartoonImage = cv2.bitwise_and(colorImage, colorImage, mask=getEdge)     ReSized6 = cv2.resize(cartoonImage, (960, 540))     #plt.imshow(ReSized6, cmap='gray')     # Plotting the whole transition     images=[ReSized1, ReSized2, ReSized3, ReSized4, ReSized5, ReSized6]     fig, axes = plt.subplots(3,2, figsize=(8,8), subplot_kw={'xticks':[], 'yticks':[]}, gridspec_kw=dict(hspace=0.1, wspace=0.1))     for i, ax in enumerate(axes.flat):         ax.imshow(images[i], cmap='gray')     save1=Button(top,text="Save cartoon image",command=lambda: save(ReSized6, ImagePath),padx=30,pady=5)     save1.configure(background='#364156', foreground='white',font=('calibri',10,'bold'))     save1.pack(side=TOP,pady=50)          plt.show()           def save(ReSized6, ImagePath):     #saving an image using imwrite()     newName="cartoonified_Image"     path1 = os.path.dirname(ImagePath)     extension=os.path.splitext(ImagePath)[1]     path = os.path.join(path1, newName+extension)     cv2.imwrite(path, cv2.cvtColor(ReSized6, cv2.COLOR_RGB2BGR))     I= "Image saved by name " + newName +" at "+ path     tk.messagebox.showinfo(title=None, message=I) upload=Button(top,text="Cartoonify an Image",command=upload,padx=10,pady=5) upload.configure(background='#364156', foreground='white',font=('calibri',10,'bold')) upload.pack(side=TOP,pady=50) top.mainloop()



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