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+# Multi Filters Include Negative
+
+The multi filters provides eleven differents filters to apply on images. It includes the Blur effect, Contour, Detail, Edge enhance and the Edge enhance more, Emboss, Find_egdes, Sharpen, Smooth and the Smooth_more and the Negative effect
+
+## Installing dependences
+
+First of all, we should check if we are using an updated version of pip, with this line:
+
+ `python3 -m pip install --upgrade pip`
+
+Now, we need to install Pillow library to support images on Python:
+
+ `python3 -m pip install --upgrade Pillow`
+
+Then, the opencv library help us with computer vision, providing us with functions to apply filters:
+
+ `pip install opencv-python`
+
+Others dependences that we are going to need are matplotlib, to display the images and for that we need to install numpy:
+
+ `pip install numpy`
+
+and then install matplotlib:
+
+ `matplotlib: python -m pip install -U matplotlib`
+
+note that matplotlib may install numpy as a dependence, but is a good practice to do it manually
+
+## Running
+
+To get the program running we use the command below:
+
+ `python filters.py [NAME OF FILE IMAGE]`
+
+It will show us the image we chosen and open a menu with the filters, from which we got to write a number corresponding to the filter we would like
+
+## Example
+
+Let's try out with a normal image of an apple
+
+
+
+
+Applying each of the filters, we get the following results:
+
+1 - Blur filter
+
+
+
+
+2 - Contour filter
+
+
+
+
+3 - Detail filter
+
+
+
+
+4 - Edge enhance filter
+
+
+
+
+5 - Edge enhance more filter
+
+
+
+
+6 - Emboss filter
+
+
+
+
+7 - Find_egdes filter
+
+
+
+
+8 - Sharpen filter
+
+
+
+
+9 - Smooth filter
+
+
+
+
+10 - Smooth_more filter
+
+
+
+
+11 - Negative filter
+
+
+
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diff --git a/Image-Processing/Multi Filters Include Negative/filters.py b/Image-Processing/Multi Filters Include Negative/filters.py
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+from PIL import Image
+from PIL import ImageFilter
+import matplotlib.pyplot as plt
+import negative_image
+import cv2
+import sys
+import os
+
+# Loading images
+if len(sys.argv) == 2:
+ fn_with_ext = sys.argv[1]
+ filename, file_extension = os.path.splitext(sys.argv[1])
+else:
+ print("No input image given, so loading default image, lena.jpg \n")
+ print("Correct Usage: python grabcut.py \n")
+
+# Insert path here
+img = Image.open(fn_with_ext)
+img = img.convert('RGB')
+
+plt.imshow(img)
+plt.show()
+
+# List of Filters (is selected in menu option)
+filters = [ImageFilter.BLUR, ImageFilter.CONTOUR, ImageFilter.DETAIL, ImageFilter.EDGE_ENHANCE, ImageFilter.EDGE_ENHANCE_MORE, ImageFilter.EMBOSS, ImageFilter.FIND_EDGES, ImageFilter.SHARPEN, ImageFilter.SMOOTH, ImageFilter.SMOOTH_MORE]
+
+while True:
+ try:
+ print("MENU OF FILTERS IMAGE APPLICATION", end=" ")
+ print("(CHOOSE A OPTION BELLOW TO FILTER AN IMAGE):")
+
+ print("1- BLUR")
+ print("2- CONTOUR")
+ print("3- DETAIL")
+ print("4- EDGE_ENHANCE")
+ print("5- EDGE_ENHANCE_MORE")
+ print("6- EMBOSS")
+ print("7- FIND_EDGES")
+ print("8- SHARPEN")
+ print("9- SMOOTH")
+ print("10- SMOOTH_MORE")
+ print("11- NEGATIVE")
+ print("Ctr+D FOR EXIT")
+
+ opt = None
+ while True:
+ try:
+ opt = int(input())
+ if (opt >= 1 and opt <= 11):
+ break
+ except ValueError:
+ print("PLEASE, DIGIT A INTEGER NUMBER BETWEEN 1 AND 11")
+
+ if (opt >= 1 and opt <= 10):
+ img1 = img.filter(filters[opt-1])
+ img1.save(f"./images/{filename}_{opt}_converted{file_extension}", "JPEG")
+ else:
+ img1 = negative_image.negative(fn_with_ext)
+ cv2.imwrite(f"./images/{filename}_{opt}_converted{file_extension}", img1)
+
+ plt.imshow(img1)
+ plt.show()
+ except EOFError:
+ break
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diff --git a/Image-Processing/Multi Filters Include Negative/negative_image.py b/Image-Processing/Multi Filters Include Negative/negative_image.py
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+++ b/Image-Processing/Multi Filters Include Negative/negative_image.py
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+import cv2
+
+def negative(image):
+ img_bgr = cv2.imread(image, 1)
+
+ img_neg = 255 - img_bgr
+
+ return img_neg
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