Benjamin_Loison/Robust_image_source_identification_on_modern_smartphones
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Make getImageFilePath call implicit

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Benjamin Loison 2024-05-03 01:56:05 +02:00
parent d696edeb3f
commit 591d7dc74a
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1 changed files with 5 additions and 6 deletions
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11
datasets/raise/attribute_source_camera.py
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@ -58,7 +58,8 @@ def getImageFilePath(camera, cameraImageIndex):
imageFilePath = f'{IMAGES_CAMERAS_FOLDER[camera]}/{imageFileName}'
return imageFilePath
def getMultipleColorsImage(imageFilePath):
def getMultipleColorsImage(camera, cameraImageIndex):
imageFilePath = getImageFilePath(camera, cameraImageIndex)
singleColorChannelImages = {color: rescaleIfNeeded(getColorChannel(imageFilePath, color)[:minimalColorChannelCameraResolution[0],:minimalColorChannelCameraResolution[1]], minColor, maxColor) for color in Color}
multipleColorsImage = mergeSingleColorChannelImagesAccordingToBayerFilter(singleColorChannelImages)
return multipleColorsImage
@ -75,10 +76,9 @@ for computeExtremes in tqdm(([True] if minColor is None or maxColor is None else
print('Extracting noise of testing images')
for camera in tqdm(IMAGES_CAMERAS_FOLDER, 'Camera'):
for cameraTestingImageIndex in tqdm(range(numberOfTestingImages), 'Camera testing image index'):
imageFilePath = getImageFilePath(camera, numberOfTrainingImages + cameraTestingImageIndex)
print(f'{imageFilePath=}')
print(f'{camera=} {numberOfTrainingImages + cameraTestingImageIndex=}')
multipleColorsImage = getMultipleColorsImage(imageFilePath)
multipleColorsImage = getMultipleColorsImage(camera, numberOfTrainingImages + cameraTestingImageIndex)
# Should make a function
singleColorChannelDenoisedImages = {color: denoise(singleColorChannelImages[color], DENOISER) for color in Color}
@ -88,8 +88,7 @@ for computeExtremes in tqdm(([True] if minColor is None or maxColor is None else
cameraTestingImagesNoise[camera] = cameraTestingImagesNoise.get(camera, []) + [imagePrnuEstimateNpArray]
for cameraTrainingImageIndex in tqdm(range(minimumNumberOfImagesCameras if computeExtremes else numberOfTrainingImages), 'Camera training image index'):
for cameraIndex, camera in enumerate(tqdm(IMAGES_CAMERAS_FOLDER, 'Camera')):
imageFilePath = getImageFilePath(camera, cameraTrainingImageIndex)
multipleColorsImage = getMultipleColorsImage(imageFilePath)
multipleColorsImage = getMultipleColorsImage(camera, cameraTrainingImageIndex)
if computeExtremes:
minColor, maxColor = updateExtremes(multipleColorsImage, minColor, maxColor)