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rfct: silence keras load messages

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Konstantin Baierer 2020-11-20 18:05:00 +01:00
parent eff10154cf
commit 3bfc8c20e0
1 changed files with 6 additions and 5 deletions
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11
sbb_newspapers_org_image/eynollah.py
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@ -10,18 +10,21 @@ import warnings
from multiprocessing import Process, Queue, cpu_count from multiprocessing import Process, Queue, cpu_count
from sys import getsizeof from sys import getsizeof
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import cv2 import cv2
import numpy as np import numpy as np
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import seaborn as sns import seaborn as sns
environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
stderr = sys.stderr
sys.stderr = open(devnull, 'w')
from keras import backend as K from keras import backend as K
from keras.models import load_model from keras.models import load_model
from shapely import geometry sys.stderr = stderr
import tensorflow as tf import tensorflow as tf
tf.get_logger().setLevel('ERROR') tf.get_logger().setLevel('ERROR')
from scipy.signal import find_peaks from scipy.signal import find_peaks
from scipy.ndimage import gaussian_filter1d from scipy.ndimage import gaussian_filter1d
from shapely import geometry
from lxml import etree as ET from lxml import etree as ET
import click import click
from matplotlib import pyplot, transforms from matplotlib import pyplot, transforms
@ -12976,9 +12979,7 @@ class eynollah:
@click.option('--allow_scaling', '-as', help='if this parameter set to true, this tool would check the scale and if needed it will scale it to perform better layout detection') @click.option('--allow_scaling', '-as', help='if this parameter set to true, this tool would check the scale and if needed it will scale it to perform better layout detection')
@click.option('--headers_off', '-ho', help='if this parameter set to true, this tool would ignore headers role in reading order') @click.option('--headers_off', '-ho', help='if this parameter set to true, this tool would ignore headers role in reading order')
def main(image,out, model,save_images,save_layout,save_deskewed,save_all,allow_enhancement,curved_line,full_layout,allow_scaling,headers_off): def main(image,out, model,save_images,save_layout,save_deskewed,save_all,allow_enhancement,curved_line,full_layout,allow_scaling,headers_off):
possibles = globals() # XXX unused? x = eynollah(image, None, out, model, save_images, save_layout, save_deskewed, save_all, allow_enhancement, curved_line, full_layout, allow_scaling, headers_off)
possibles.update(locals())
x = eynollah(image, None, out, model,save_images,save_layout,save_deskewed,save_all,allow_enhancement,curved_line,full_layout,allow_scaling,headers_off)
x.run() x.run()