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Converts images to grayscale #2

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Converts images to grayscale #2

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4102f0c
fix for RGB input images
MLippARCNL Apr 9, 2025
a5c1333
fix for RGB input images also for GD
MLippARCNL Apr 9, 2025
e226186
fix for RGB input images for ADMM.py
MLippARCNL Apr 9, 2025
c57018d
fix for RGB input images for GD.py
MLippARCNL Apr 9, 2025
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4 changes: 2 additions & 2 deletions ADMM.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,9 +5,9 @@
import yaml

def loadData(show_im=True):
psf = Image.open(psfname)
psf = Image.open(psfname).convert('L')
psf = np.array(psf, dtype='float32')
data = Image.open(imgname)
data = Image.open(imgname).convert('L')
data = np.array(data, dtype='float32')

"""In the picamera, there is a non-trivial background
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4 changes: 2 additions & 2 deletions GD.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,9 +7,9 @@


def loaddata(show_im=True):
psf = Image.open(psfname)
psf = Image.open(psfname).convert('L')
psf = np.array(psf, dtype='float32')
data = Image.open(imgname)
data = Image.open(imgname).convert('L')
data = np.array(data, dtype='float32')

"""In the picamera, there is a non-trivial background
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4 changes: 2 additions & 2 deletions tutorial/ADMM.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -95,9 +95,9 @@
"outputs": [],
"source": [
"def loadData(show_im=True):\n",
" psf = Image.open(psfname)\n",
" psf = Image.open(psfname).convert('L')\n",
" psf = np.array(psf, dtype='float32')\n",
" data = Image.open(imgname)\n",
" data = Image.open(imgname).convert('L')\n",
" data = np.array(data, dtype='float32')\n",
" \n",
" \"\"\"In the picamera, there is a non-trivial background \n",
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4 changes: 2 additions & 2 deletions tutorial/GD.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -92,9 +92,9 @@
"outputs": [],
"source": [
"def loaddata(show_im=True):\n",
" psf = Image.open(psfname)\n",
" psf = Image.open(psfname).convert('L')\n",
" psf = np.array(psf, dtype='float32')\n",
" data = Image.open(imgname)\n",
" data = Image.open(imgname).convert('L')\n",
" data = np.array(data, dtype='float32')\n",
" \n",
" \"\"\"In the picamera, there is a non-trivial background \n",
Expand Down