Remove INTERESTING_VALUES_OF_AXES usage

datasets/raise/extract_4_color_channel_images_from_raw.py

@@ -15,7 +15,8 @@ def getImageFilePath(imageIndex):
 
 def getImageColorChannel(imageIndex, color):
     imageFilePath = getImageFilePath(imageIndex)
-    return getColorChannel(imageFilePath, color)
+    colorChannel = getColorChannel(imageFilePath, color)
+    return colorChannel
 
 def crop(image, interestingPosition, yRange, xRange):
     return image[interestingPosition[0] - yRange: interestingPosition[0] + yRange, interestingPosition[1] - xRange: interestingPosition[1] + xRange]

datasets/raise/fft/analyze_fft_ellipses.py

@@ -31,11 +31,13 @@ for axis in Axis:
     axisProfile = PROFILES_OF_AXES[axis]
     colorsOfAxes[axis] = plt.plot(axisProfile, label = axis)[0].get_color()
 
+'''
 for axis in Axis:
     for interestingValueOfAxisIndex, interestingValueOfAxis in enumerate(INTERESTING_VALUES_OF_AXES[axis]):
         linestyle = ':' if interestingValueOfAxisIndex % 2 == 0 else '--'
         label = f'{axis} local {"minimum" if interestingValueOfAxisIndex == 0 else "maximum"}' if interestingValueOfAxisIndex <= 1 else None
         plt.axvline(interestingValueOfAxis, color = colorsOfAxes[axis], alpha = 0.3, linestyle = linestyle, label = label)
+'''
 
 def flattenDictValues(dict_):
     return itertools.chain(*dict_.values())
@@ -43,6 +45,7 @@ def flattenDictValues(dict_):
 # TODO: How to avoid hardcoding the default color being `black`?
 MATPLOTLIB_DEFAULT_COLOR = 'black'
 
+'''
 allInterestingValuesOfAxes = list(set(flattenDictValues(INTERESTING_VALUES_OF_AXES)))
 ticks = list(plt.xticks()[0]) + allInterestingValuesOfAxes
 plt.xticks(ticks)
@@ -62,6 +65,7 @@ allInterestingIntensitiesOfAxes = list(flattenDictValues(INTERESTING_PROFILES_OF
 allInterestingIntensitiesOfAxesMin = min(allInterestingIntensitiesOfAxes)
 allInterestingIntensitiesOfAxesMax = max(allInterestingIntensitiesOfAxes)
 plt.ylim(allInterestingIntensitiesOfAxesMin, allInterestingIntensitiesOfAxesMax)
+'''
 
 plt.legend()
 plt.show()