def brisque_metric(img_tile):
brisq = brisque.BRISQUE()
score = brisq.get_score(img_tile)
return score
def my_brisque(img):
brisq = brisque.BRISQUE()
brisq.get_feature(img)
return brisq.get_score(img)
import os
import argparse
import sys
import json
from libsvm import svmutil
import brisque
import PIL.Image
import pytesseract
from shutil import rmtree
connection = pymongo.MongoClient("mongodb://localhost:27017/")
db = connection["sous"]
recipe_collection = db["recipe"]
target_folder = '/run/media/anfa/1C8A5B0249DD18B9/h32/'
b = brisque.BRISQUE()
for dirpath, dirs, files in os.walk(target_folder):
for di in dirs:
for dirpath, dirs, files in os.walk(target_folder + di):
fs = files
scores = []
raw_scores = []
position = 0
if files:
for f in fs:
if f != 'hold':
path = dirpath + '/' + f
img = PIL.Image.open(path)
width, height = img.size
def score(img):
brisq=br.BRISQUE()
feats=brisq.get_feature(img)
err=brisq.get_score(img)
print("Brisque Score: "+str(err))
return err
