Try making not flat-images compatible
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@ -9,7 +9,7 @@ from tqdm import tqdm
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import csv
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import rawpy
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imagesFolderPath = 'flat-field/nef'
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imagesFolderPath = '/mnt/HDD0/raise'
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imagesFolderPathFileName = imagesFolderPath.replace('/', '_')
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denoiser = 'wavelet'
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npArrayFilePath = f'mean_{imagesFolderPathFileName}_{denoiser}.npy'
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@ -19,9 +19,9 @@ denoise = getattr(skimage.restoration, f'denoise_{denoiser}')
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mean = None
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numberOfImagesInMean = 0
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imagesFileNames = os.listdir(imagesFolderPath)
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imagesFileNames = os.listdir(imagesFolderPath + '/png')
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requiresRaiseFiltering = False
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requiresRaiseFiltering = True
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if requiresRaiseFiltering:
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files = {}
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@ -31,15 +31,16 @@ if requiresRaiseFiltering:
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file = row['File'] + '.png'
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files[file] = row
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imagesFileNames = [imageFileName for imageFileName in tqdm(imagesFileNames, 'Filtering images') if files[imageFileName]['Device'] == 'Nikon D7000' and Image.open(f'{imagesFolderPath}/{imageFileName}').size == (4946, 3278)]
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imagesFileNames = [imageFileName for imageFileName in tqdm(imagesFileNames, 'Filtering images') if files[imageFileName]['Device'] == 'Nikon D7000' and Image.open(f'{imagesFolderPath}/png/{imageFileName}').size == (4946, 3278)]
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#imagesFileNames = [f'DSC0{imageIndex}.ARW' for imageIndex in range(2807, 2911)]
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minColor = None
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maxColor = None
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def treatImage(imageFileName, computeExtremes = False):
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global mean, numberOfImagesInMean, minColor, maxColor
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imageFilePath = f'{imagesFolderPath}/{imageFileName}'
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if imageFileName.endswith('.NEF'):
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imageFilePath = f'{imagesFolderPath}/nef/{imageFileName}'
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if imageFileName.endswith('.NEF') or imageFileName.endswith('.ARW'):
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with rawpy.imread(imageFilePath) as raw:
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colorDesc = raw.color_desc.decode('ascii')
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assert colorDesc == 'RGBG'
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@ -78,6 +79,9 @@ def treatImage(imageFileName, computeExtremes = False):
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for imageFileName in tqdm(imagesFileNames, 'Computing extremes of images'):
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treatImage(imageFileName, computeExtremes = True)
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print(f'{minColor=}')
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print(f'{maxColor=}')
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for imageFileName in tqdm(imagesFileNames, 'Denoising images'):
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treatImage(imageFileName)
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