Add the ability to hardcode resolution
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@ -32,7 +32,7 @@ for camera in IMAGES_CAMERAS_FOLDER:
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random.shuffle(imagesCamerasFileNames[camera])
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# Limit number of images per camera with the one having the less images.
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minimumNumberOfImagesCameras = 4#min([len(imagesCamerasFileNames[camera]) for camera in IMAGES_CAMERAS_FOLDER])
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minimumNumberOfImagesCameras = min([len(imagesCamerasFileNames[camera]) for camera in IMAGES_CAMERAS_FOLDER])
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for camera in IMAGES_CAMERAS_FOLDER:
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imagesCamerasFileNames[camera] = imagesCamerasFileNames[camera][:minimumNumberOfImagesCameras]
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print(camera, imagesCamerasFileNames[camera])
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@ -43,13 +43,14 @@ camerasIterativeMean = {camera: iterativeMean() for camera in IMAGES_CAMERAS_FOL
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# Compute the minimal color channel camera resolution.
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# Assume that for each camera, its images have the same resolution.
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# The following consider a given color channel resolution, assuming they all have the same resolution.
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minimalColorChannelCameraResolution = None
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for camera in IMAGES_CAMERAS_FOLDER:
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imageFileName = imagesCamerasFileNames[camera][0]
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imageFilePath = f'{IMAGES_CAMERAS_FOLDER[camera]}/{imageFileName}'
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singleColorChannelImagesShape = getColorChannel(imageFilePath, Color.RED).shape
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if minimalColorChannelCameraResolution is None or singleColorChannelImagesShape < minimalColorChannelCameraResolution:
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minimalColorChannelCameraResolution = singleColorChannelImagesShape
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minimalColorChannelCameraResolution = (100, 100)#None
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if minimalColorChannelCameraResolution is None:
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for camera in IMAGES_CAMERAS_FOLDER:
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imageFileName = imagesCamerasFileNames[camera][0]
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imageFilePath = f'{IMAGES_CAMERAS_FOLDER[camera]}/{imageFileName}'
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singleColorChannelImagesShape = getColorChannel(imageFilePath, Color.RED).shape
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if minimalColorChannelCameraResolution is None or singleColorChannelImagesShape < minimalColorChannelCameraResolution:
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minimalColorChannelCameraResolution = singleColorChannelImagesShape
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minColor = 0#None
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maxColor = 7952#None
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