def test_logos(capsys):
file_name = os.path.join(
os.path.dirname(__file__),
'resources/logos.png')
detect.detect_logos(file_name)
out, _ = capsys.readouterr()
assert 'Google' in out
from detect import (detect_logos, detect_text)
import pandas as pd
import re
import os
#from __future__ import print_function
from google.cloud import vision
images_path = "C:\\Users\\heinz\\Yagora GmbH\\Ievgen Kyrda - Crawler\\images\\foodnewsgermany_images/"
file_names = os.listdir(os.path.dirname(images_path))
file_paths = [images_path + f for f in file_names]
logos = [detect_logos(f) for f in file_paths]
texts = [detect_text(f)[0].description for f in file_paths]
# remove line break symbols
texts = [x.replace("\n", ", ") for x in texts]
contained = []
#contained[1] = "test"
for i in range(len(logos)): # loop over future rows of df
tmp = []
for j in logos[i]: # for every logo-row, check if in text
if j.lower() in texts[i].lower():
tmp.append(logos[i])
else:
tmp.append(None)
contained.append(tmp)
