python - txt 文件不会在 windows 中用 python 编写，它适用于 mac

Question

我编写了一段代码，它拍摄视频并识别人脸并计算人与相机（即机器人的眼睛）的距离。我需要 txt 格式的数据，所以我将其写入 distance_data.txt 但我的文件始终为空。我已经在 Mac 计算机上运行了代码，它运行得非常好，文件不为空。

import cv2
import time
import numpy as np

person_cascade = cv2.CascadeClassifier('human_recognition.txt')
cap = cv2.VideoCapture('oct23_2.avi')

# Define the codec and create VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('oct23_2out.avi',fourcc, 20.0, (640,360))

distance_data = open('distance_data.txt','w')

timer=-1
while (cap.isOpened()):
 r, frame = cap.read()
 if r:

    frame = cv2.resize(frame,(640,360)) # Downscale to improve frame rate
    gray_frame = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY) # Haar-cascade classifier needs a grayscale image
    cv2.imshow('gray',gray_frame)
    #print(gray_frame.type())
    rects = person_cascade.detectMultiScale(gray_frame)
    max=0
    #print(rects)

    (x, y, w, h) = rects[0]
    cv2.rectangle(frame, (x,y), (x+w ,y+h),(0,255,0),2)
    #fshape = frame.shape
    #fheight = fshape[0]
    #fwidth = fshape[1]
    timer=timer+1
    xpos=(0.03421)*(w*w)-8.1183*w+521.841
    yn=360-y
    heightinvid=0.0197377*yn-0.0194
    realhieght=((-0.4901)*(heightinvid* heightinvid)+4.4269*heightinvid+8.30356)/ 0.927183854

    horizontalp=x+w/2



    #print(timer+1 , ",", xpos, )
    #if (xpos<=41 and xpos>=40):
    #print("height of the human is ", realhieght+149, "or", (-0.000184)*yn*yn+0.08506*yn+8.43461+149)
    cm_deviation_in_x=-0.02033898*(320-horizontalp)
    #print("Horizontal position of human is ", cm_deviation_in_x, " cm.")
    newxpos = format (xpos, '.3f')
    distance_data.write("Hi")
    distance_data.write(str(newxpos))
    distance_data.write(',')
    distance_data.write(str(format(cm_deviation_in_x, '.3f')))
    distance_data.write("\r\n")

    #print(w)
    #print("x position of the human is = ",xpos)
        #fourcc = cv2.VideoWriter_fourcc(*'XVID')
        #out = cv2.VideoWriter('output25.avi',fourcc, 20.0, (fwidth,fheight))

    cv2.imshow("preview", frame)
    out.write(frame)

 k = cv2.waitKey(10)
 #print(w,h)
 if k & 0xFF == ord("q"): # Exit condition
    break
distance_data.flush()
cap.release()

cv2.destroyAllWindows()

标签： pythonwindowsartificial-intelligence