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Remove commented code from analyze_bayer_filter_mean_denoiser.py

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Benjamin Loison 2024-04-26 04:13:08 +02:00
parent 3e8b607b97
commit 9641641b61
Signed by: Benjamin_Loison
SSH Key Fingerprint: SHA256:BtnEgYTlHdOg1u+RmYcDE0mnfz1rhv5dSbQ2gyxW8B8
1 changed files with 0 additions and 9 deletions
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datasets/raise/analyze_bayer_filter_mean_denoiser.py
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@ -5,13 +5,6 @@ from tqdm import tqdm
import rawpy
import matplotlib.pyplot as plt
'''
for color in Color:
#if color == 'green_bottom':
# continue
print(color)
'''
os.chdir('flat-field/NEF')
firstBayerFilterOccurrenceImages = []
@ -36,8 +29,6 @@ COLOR_BASE = 256
def getColor(colorIndex):
return HEX_COLOR % tuple((255 if colorIndex == colorIndexTmp else 0) for colorIndexTmp in range(NUMBER_OF_COLORS))
#X, Y = np.histogram(firstBayerFilterOccurrenceImages[:,0,0])
#plt.plot(X, Y)
for colorIndex, (colorY, colorX) in enumerate([(0, 0), (0, 1), (1, 1)]):
X = firstBayerFilterOccurrenceImages[:, colorY, colorX] - np.mean(firstBayerFilterOccurrenceImages, axis = 0)[colorY, colorX]
plt.hist(X, bins = len(set(X)), color = getColor(colorIndex), alpha = 0.3)