Python C++ Crashing with CV2

Setup:

• Python 3.6.5
• Windows 10
• Visual C++ 2017

Libraries:

import itertools
import pytesseract
import os
from PIL import Image, ImageEnhance, ImageFilter
import glob
from fuzzywuzzy import fuzz
from fuzzywuzzy import process
from copy import deepcopy
import cv2
from matplotlib.pyplot import imshow
import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt
import time

Sharable Code:

def img_prep(img):
    im = img.filter(ImageFilter.MedianFilter())
    enhancer = ImageEnhance.Contrast(im)
    im = enhancer.enhance(2)
    im = im.convert('1')
    return im

Code relying on C compiling:

text = pytesseract.image_to_string(img_prep(img))

img.crop([guess])

Exception:

Unhandled exception at 0x00007FFF0814ADEF (_imaging.cp36-win_amd64.pyd) in python.exe: 0xC0000005: Access violation reading location 0x0000000000000000.

Note:

Unfortunately, I can't post my code as it is work product, but I'm using cv2 and tesseract (with pytesseract) to read text from images. My script reads progressively smaller images and runs into issues when as the images get smaller and therefore run faster. When the runtime on the OCR call hits ~.9 seconds the program crashes.

I'm running this in Jupyter Notebook and don't get a traceback when the kernel dies.

Updates: Dummy Example

def load_img(file_name):
    im = Image.open(img_name)
    return im

img_name = r"Path\To\Some\Img.jpg"

img = load_img(img_name)

print(img.size)
#(1700,2200)

#Note: img.crop([100,100,50,200]) returns an error
#However:
img = img.crop([100,100,50,200]) #Does Not

print(img.size)
#(0,100)

def img_prep(img):
        im = img.filter(ImageFilter.MedianFilter())
        enhancer = ImageEnhance.Contrast(im)
        im = enhancer.enhance(2)
        im = im.convert('1')
        return im

#Calling the following code crashes

text = pytesseract.image_to_string(img_prep(img))

# This appears to be as a result of tesseract not having a handling mechanism in for miss-size images