Spyder python 3.9 AttributeError: 'NoneType' object has no attribute 'shape'

Question

import os
import cv2
import pickle
from sklearn.cluster import KMeans
import numpy as np

train_path = './Train/'

class_list = os.listdir(train_path)


for i in range(len(class_list)):
    image_list = os.listdir(os.path.join(train_path, class_list[i]))
    
    for j in range(len(image_list)):
        image = cv2.imread(os.path.join(train_path, class_list[i], image_list[j]))
        sift = cv2.SIFT_create() 
        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
        (kp, descs) = sift.detectAndCompute(gray, None)
        
        descs_samples = descs[np.random.randint(descs.shape[0], size=20)]
        

I am trying to get sift features of 43 diffrent classes of images but for some reason when i try to use the command descs_samples = descs[np.random.randint(descs.shape[0], size=20)] function i am getting this eror * AttributeError: 'NoneType' object has no attribute 'shape'* My friend was able to runs this code correctly but for some reason i can't.

I tried changing my files loaction and printing images to make sure they were actullay are getting read.I was able to see my images with print (image).

Answer 1

My friend wasn't using the same dataset so i tought there might be something wrong with it.After a bit of debugging i found that i wasn't able to get descropitores from some of the train images.So i isolated them. I lost around %10 of the dataset but now it works great. I am trying to figure out why i couldn't get descriptores from this %10.