From d2983c65cdfe57e26439fbe17644cea7177ce6ee Mon Sep 17 00:00:00 2001
From: Farzaneh Labbaf <f.labbaf97@gmail.com>
Date: Mon, 17 Apr 2023 21:28:54 +0200
Subject: [PATCH] Remove all warnings and logs
---
GUI_main.py | 8 +++++++-
Launch_NN_command_line.py | 2 +-
disk/Reader.py | 2 +-
misc/PlotCanvas.py | 2 +-
unet/neural_network.py | 3 +--
5 files changed, 11 insertions(+), 6 deletions(-)
diff --git a/GUI_main.py b/GUI_main.py
index 54bf91d..8ac2f94 100644
--- a/GUI_main.py
+++ b/GUI_main.py
@@ -124,11 +124,17 @@ from segment import segment
import neural_network as nn
from ProgressBar import ProgressBar
+import warnings
+# warnings.filterwarnings('ignore')
+
import logging
import os
+
+# Configure the root logger
logging.basicConfig(
format='%(asctime)s %(levelname)s %(funcName)s: %(message)s',
- level=os.environ.get("LOGLEVEL", "DEBUG")
+ level=os.environ.get("LOGLEVEL", "WARNING"),
+ filename='yeaz_GUI.log'
)
log = logging.getLogger(__name__)
diff --git a/Launch_NN_command_line.py b/Launch_NN_command_line.py
index 640e0a1..d7419b1 100644
--- a/Launch_NN_command_line.py
+++ b/Launch_NN_command_line.py
@@ -69,7 +69,7 @@ def LaunchInstanceSegmentation(reader, image_type, fov_indices=[0], time_value1=
#iterates over the time indices in the range
for t in range(time_value1, time_value2+1):
- print('--------- Segmenting field of view:',fov_ind,'Time point:',t)
+ log.debug('--------- Segmenting field of view:',fov_ind,'Time point:',t)
#calls the neural network for time t and selected fov
im = reader.LoadOneImage(t, fov_ind)
diff --git a/disk/Reader.py b/disk/Reader.py
index 1b607a2..269bfea 100644
--- a/disk/Reader.py
+++ b/disk/Reader.py
@@ -20,7 +20,7 @@ import logging
import os
logging.basicConfig(
format='%(asctime)s %(levelname)s %(funcName)s: %(message)s',
- level=os.environ.get("LOGLEVEL", "DEBUG")
+ level=os.environ.get("LOGLEVEL", "WARNING")
)
log = logging.getLogger(__name__)
diff --git a/misc/PlotCanvas.py b/misc/PlotCanvas.py
index a17fa9a..023ada5 100644
--- a/misc/PlotCanvas.py
+++ b/misc/PlotCanvas.py
@@ -11,7 +11,7 @@ import logging
import os
logging.basicConfig(
format='%(asctime)s %(levelname)s %(funcName)s: %(message)s',
- level=os.environ.get("LOGLEVEL", "DEBUG")
+ level=os.environ.get("LOGLEVEL", "WARNING")
)
log = logging.getLogger(__name__)
diff --git a/unet/neural_network.py b/unet/neural_network.py
index e44322c..b202d04 100644
--- a/unet/neural_network.py
+++ b/unet/neural_network.py
@@ -7,13 +7,12 @@ Created on Sat Dec 21 18:54:10 2019
import os
import sys
from model_pytorch import UNet
-from model_tensorflow import unet
+# from model_tensorflow import unet
import numpy as np
import skimage
from skimage import io
import skimage.transform as trans
import torch
-import tensorflow as tf
if getattr(sys, 'frozen', False):
path_weights = os.path.join(sys._MEIPASS, 'unet/')
--
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