box_test_test.py

import cv2
import numpy as np
import os
import pandas as pd
names = os.listdir()
main_bounding_list=[]
bounding_list=[]
print(names[0])
img = cv2.imread(names[0])
#gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gray = cv2.bilateralFilter(gray, 11, 17, 17)
        '''
        kernel = np.ones((1,1),np.uint8)
        erosion = cv2.erode(gray,kernel,iterations = 4)
        '''
edged = cv2.Canny(gray, 30, 200)
kernel = np.ones((7,7),np.uint8)

dilation = cv2.dilate(edged,kernel,iterations =6)
blurred = cv2.blur(dilation, (4, 4),0)

ret,thresh = cv2.threshold(blurred,0,255,cv2.THRESH_BINARY)
contours,h = cv2.findContours(thresh,cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
cv2.imshow(thresh)
if len(contours) != 0:
# Draw only the contour with the largest area
for cnt in contours:
    approx = cv2.approxPolyDP(cnt,0.07*cv2.arcLength(cnt,True),True)
    if len(approx)==4:
        if cv2.contourArea(cnt) > 50000:
            x,y,w,h = cv2.boundingRect(cnt)
            datafile.write(str(x)+','+str(y)+','+str(x+w)+','+str(y+h)+"|")
            #img = cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),5)