def main():
print("1 = Grayscale")
print("2 = Negative")
print("3 = RGB Mask")
print("4 = Sepia")
print("5 = Lower Brightness")
print("6 = Increase Brightness")
print("7 = Blur")
print("8 = Emboss\n")
choice = int(input("Please choose a filter : "))
c_file = str(input("Please type the path of your file : "))
if (choice == 1):
filters.grayscale(get_file_data(c_file))
elif (choice == 2):
filters.negative(get_file_data(c_file))
elif (choice == 3):
filters.rgb_mask(get_file_data(c_file))
elif (choice == 4):
filters.sepia(get_file_data(c_file))
elif (choice == 5):
filters.low_bright(get_file_data(c_file))
elif (choice == 6):
filters.up_bright(get_file_data(c_file))
elif (choice == 7):
filters.blur(get_file_data(c_file))
elif (choice == 8):
filters.emboss(get_file_data(c_file))
else:
print("Please enter a correct number !")
main()
def applyFilter(f):
global image, workingImage, app
if(workingImage == None):
app.loadFile()
width, height = workingImage["size"][0], workingImage["size"][1]
pixels = workingImage["pixels"]
if(f == "g"):
pixels = filters.grayscale(pixels)
elif(f == "t"):
minT, maxT = app.minThreshold.get(), app.maxThreshold.get()
pixels = filters.grayscale(pixels, lmin=minT, lmax=maxT)
elif(f == "b"):
pixels = filters.blur(pixels, width, height)
elif(f == "n"):
pixels = filters.negative(pixels)
elif(f == "s"):
pixels = filters.sepia(pixels)
elif(f == "no"):
level, intensity = app.noiseLevel.get(), app.noiseIntensity.get()
pixels = filters.noise(pixels, level, intensity)
elif(f == "rn"):
aggressiveness = app.noiseAggressiveness.get()
pixels = filters.removeNoise(pixels, width, height, aggressiveness)
elif(f == "d"):
pixels = filters.difference(pixels, width, height)
elif(f == "c"):
pixels = filters.applyMask(pixels, width)
elif(f == "bd"):
pixels = filters.borderDetection(pixels, width)
elif(f == "od"):
coordinates = app.mouseCoords
color = (0,0,255)
pixels, dmp1, dmp2 = filters.objectDetection(pixels, width, height, coordinates, color)
else:
pass
saveImageChanges(pixels)
app.updateCanvas()
print "Done!"
return
def applyFilter(f):
global image, lastImage, app
if(f == "o"):
i = image
else:
i = "tmp.png"
a, width, height, pixels = imageToPixels(lastImage)
if(f == "g"):
pixels = filters.grayscale(pixels)
elif(f == "t"):
minT, maxT = app.minThreshold.get(), app.maxThreshold.get()
pixels = filters.grayscale(pixels, lmin=minT, lmax=maxT)
elif(f == "b"):
pixels = filters.blur(pixels, width, height)
elif(f == "n"):
pixels = filters.negative(pixels)
elif(f == "s"):
pixels = filters.sepia(pixels)
elif(f == "no"):
level, intensity = app.noiseLevel.get(), app.noiseIntensity.get()
pixels = filters.noise(pixels, level, intensity)
elif(f == "rn"):
aggressiveness = app.noiseAggressiveness.get()
pixels = filters.removeNoise(pixels, width, height, aggressiveness)
elif(f == "d"):
pixels = filters.difference(pixels, width, height)
elif(f == "c"):
pixels = filters.applyMask(pixels, width)
elif(f == "bd"):
pixels = filters.borderDetection(pixels, width)
elif(f == "od"):
coordinates = app.mouseCoords
color = (0,0,255)
pixels, dmp1, dmp2 = filters.objectDetection(pixels, width, height, coordinates, color)
else:
pass
saveImage((width, height), pixels, i)
lastImage = i
app.updateCanvas(i)
print "Done!"
return
if __name__ == "__main__":
image_loaded = False
print(show_menu())
while True:
user_input = input(": ")
if user_input == "L":
img = get_image()
show(img)
image_loaded = True
elif user_input == "N":
if not image_loaded:
print("No image loaded")
continue
filters.negative(img)
show(img)
elif user_input == "G":
if not image_loaded:
print("No image loaded")
continue
filters.weighted_grayscale(img)
show(img)
elif user_input == "X":
if not image_loaded:
print("No image loaded")
continue
filters.extreme_contrast(img)
show(img)
elif user_input == "S":
if not image_loaded:
