cropping images

crop.py

#Need to find the starting/ending column and row index first for the desired cropping
cropIni = [0.15,0.3,0.45]

#Crop width and height of image by 15% each
startRow1 = int(height*cropIni[0])       ;startCol1 = int(width*cropIni[0])
endRow1   = int(height*(1-cropIni[0]))   ;endCol1   = int(width*(1-cropIni[0]))

#Crop width and height of image by 30% each
startRow2= int(height*cropIni[1])        ;startCol2 = int(width*cropIni[1])
endRow2   = int(height*(1-cropIni[1]))   ;endCol2   = int(width*(1-cropIni[1]))

#Crop width and height of image by 40% each
startRow3 = int(height*cropIni[2])       ;startCol3 = int(width*cropIni[2])
endRow3   = int(height*(1-cropIni[2]))   ;endCol3   = int(width*(1-cropIni[2]))

#This is just slicing the array 
fig,axs = plt.subplots(1,3, figsize=(30,15))
crop1 = rgb_img[startRow1:endRow1, startCol1:endCol1]
crop2 = rgb_img[startRow2:endRow2, startCol2:endCol2]
crop3 = rgb_img[startRow3:endRow3, startCol3:endCol3]
axs[0].imshow(crop1)
axs[1].imshow(crop2)
axs[2].imshow(crop3)
plt.show()