Add and use escapeFilePath

datasets/raise/extract_noise.py

@@ -7,12 +7,12 @@ import os
 from tqdm import tqdm
 import csv
 import rawpy
-from utils import Color, denoise, iterativeMean, isARawImage
+from utils import Color, denoise, iterativeMean, isARawImage, escapeFilePath
 import matplotlib.pyplot as plt
 from scipy.ndimage import gaussian_filter
 
 imagesFolderPath = 'rafael/arw'
-imagesFolderPathFileName = imagesFolderPath.replace('/', '_')
+imagesFolderPathFileName = escapeFilePath(imagesFolderPath)
 # Among:
 # `denoise` possible denoisers and `mean`.
 denoiser = 'mean'

datasets/raise/split_and_compare_prnus_of_subgroups.py

@@ -4,7 +4,7 @@ from PIL import Image
 import numpy as np
 import matplotlib.pyplot as plt
 from tqdm import tqdm
-from utils import denoise, iterativeMean
+from utils import denoise, iterativeMean, escapeFilePath
 from skimage import img_as_float
 import sys
 import os
@@ -18,7 +18,7 @@ NUMBER_OF_SUBGROUPS = 2
 DENOISER = 'wavelet'
 IMAGES_FOLDER = 'flat-field/TIF'
 
-setting = IMAGES_FOLDER.replace('/', '_') + f'_{DENOISER}'
+setting = escapeFilePath(IMAGES_FOLDER) + f'_{DENOISER}'
 
 imagesFileNames = os.listdir(IMAGES_FOLDER)
 # To not have a bias (chronological for instance) when split to make subgroups.

datasets/raise/utils.py

@@ -69,4 +69,7 @@ def getRawColorChannel(raw, color):
     return imageNpArray
 
 def isARawImage(imageFilePath):
-    return any([imageFileName.lower().endswith(f'.{rawImageFileExtension}') for rawImageFileExtension in RAW_IMAGE_FILE_EXTENSIONS])
+    return any([imageFileName.lower().endswith(f'.{rawImageFileExtension}') for rawImageFileExtension in RAW_IMAGE_FILE_EXTENSIONS])
+
+def escapeFilePath(filePath):
+    return filePath.replace('/', '_')