Python Tesseract OCR skew detection broken

import pylab as pl
import numpy as np
from PIL import Image, ImageEnhance, ImageColor
from scipy import ndimage, misc
import os, time, subprocess, sys
import cv2.cv as cv
import cv2
import math

pd = 'C:/Users/UserBob/Desktop/RANDOM/delete_this/test_photos'
for image in os.listdir(pd):
    fp = os.path.join(pd,image)
#    print('Opening: '+str(fp))
    try:
        if os.path.isfile(fp):
            o_img = Image.open(fp).convert('L')
            img = Image.new("RGBA",o_img.size)
            img.paste(o_img)
            size = img.size[0]/3,img.size[1]/3
            img.thumbnail(size, Image.ANTIALIAS)
            contrast = ImageEnhance.Contrast(img)
            img = contrast.enhance(4) #20
            brightness = ImageEnhance.Brightness(img)
            img = brightness.enhance(1.5) #2
            sharp = ImageEnhance.Sharpness(img)
            img = sharp.enhance(2)
            tmp = 'tmp.JPEG'
            img.save(tmp)

            img = pl.imread(tmp)[:, :, 0].astype(np.uint8)
            #img = ndimage.gaussian_filter(img, 2)
            img2 = ndimage.binary_erosion(img, iterations=30) #40
            img3 = ndimage.binary_dilation(img2, iterations=30) #40
            labels, n = ndimage.label(img3)
            counts = np.bincount(labels.ravel())
            counts[0] = 0
            img4 = labels==np.argmax(counts)
            img5 = ndimage.binary_fill_holes(img4)
            result = ~img & img5
            result = ndimage.binary_erosion(result, iterations=3) #3
            result = ndimage.binary_dilation(result, iterations=3) #3
            result = -result
            misc.imsave(tmp,result)

            p = subprocess.Popen('tesseract '+str(tmp)+' out -psm 6 ' , stdout=subprocess.PIPE)
            with open('out.txt','rb') as f:
                text = f.readlines()
            print(len(text),str(text))

    except Exception, e:
        import traceback
        print(traceback.format_exc())
        print(e)
        continue
print('Done')




            #result = cv2.imdecode(np.frombuffer(result, np.uint8), 1)
            #to binary
            #result = cv2.cvtColor(result, cv2.COLOR_BGR2GRAY)
            #(thresh, result) = cv2.threshold(result, 128, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)
#            (conts, _) = cv2.findContours(result, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

            #cv2.imwrite(tmp,conts)
             #cv2.imshow('result',result)
             #blur
            # kernel = np.ones((30,30),np.float32)/180
            # result = cv2.filter2D(result,-1,kernel)
# skew detection
            # result = cv2.imread(tmp,0)

            # edges = cv2.Canny(result, 50, 150)
            # cv2.imwrite(tmp,result)
            # minLineLength = 30
            # maxLineGap = 1
            # lines = cv2.HoughLinesP(result,1,np.pi/2,2,minLineLength,maxLineGap)
            # angle = 0
            # try:
                # print(edges)
                # print(lines)
                # for x1,y1,x2,y2 in lines[0]:
                    # print(y2,y1,x2,x1,math.atan2(y2 - y1, x2 - x1))
                    # angle += math.atan2(y2 - y1, x2 - x1)
                    # cv2.line(result,(x1,y1),(x2,y2),(0,255,0),2)
                # cv2.imwrite(tmp,result)
                # print(angle)
                # time.sleep(2)
            # except Exception, e:
                # print(e)
                # pass
            # buffer=tesseract.pixRead(tmp)
            # #buffer = open(tmp,'rb').read()
            # h,w = result.shape
            # chan = 1
            # checkImg = cv.CreateImageHeader((w,h), cv.IPL_DEPTH_8U, chan)
            # cv.SetData(checkImg, result.tostring(), result.dtype.itemsize * chan * (w))
            # tesseract.SetCvImage(result, api)
            # text = api.GetUTF8Text()
            # p = subprocess.Popen('tesseract '+str(tmp)+' out -psm 6 ' , stdout=subprocess.PIPE)
            # with open('out.txt','rb') as f:
                # text = f.readlines()
            # print(len(text),str(text))

    # except Exception, e:
        # import traceback
        # print(traceback.format_exc())
        # print(e)
        # continue
# print('Done')