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all it needs is to reorganise the logic. right now, you're only showing an image, IF there was a detection. change that !

import cv2
cascade = cv2.CascadeClassifier('xcascade.xml')
cap = cv2.VideoCapture(1)

num = 0
while num<1000:
    ret, img = cap.read()
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

    cas = cascade.detectMultiScale(gray, 10, 10)
    for(x,y,w,h) in cas:
        font = cv2.FONT_HERSHEY_SIMPLEX
        cv2.rectangle(img,(x,y), (x+w,y+h),(255,255,0),5)
        cv2.putText(img, 'Something',(x,y-120), font, 1.5, (0,255,255),5, cv2.LINE_AA)
        num = num+1
    cv2.imshow('img',img)
    if (cv2.waitKey(1000) == 27): # escape pressed
           break

cap.release()
cv2.destroyAllWindows() # your code *never reached *that typo ;)