Added .gitignore, fixed applying filters, added dpi processing.

.gitignore

@@ -0,0 +1,2 @@
+__pycache__/
+/res

src/filters.py

@@ -14,6 +14,14 @@ class filter:
         self.output_file = output_file
         self.img = img
 
+class filter_none(filter):
+    def __init__(self, input_file, output_file, img):
+        super().__init__(input_file, output_file, img)
+
+    def apply(self):
+        plt.imshow(self.img)
+        print("No filter selected")
+
 
 class filter_average(filter):
     def __init__(self, input_file, output_file, img):
@@ -21,9 +29,8 @@ class filter_average(filter):
 
     def apply(self):
         kernel = np.ones((5, 5), np.float32)/25
-        dst = cv.filter2D(self.img, -1, kernel)
+        self.img = cv.filter2D(self.img, -1, kernel)
-        plt.xticks([]), plt.yticks([])
+        plt.imshow(self.img)
-        plt.imshow(dst)
         print("Average filter")
 
 
@@ -32,9 +39,8 @@ class filter_blur(filter):
         super().__init__(input_file, output_file, img)
 
     def apply(self):
-        blur = cv.blur(self.img, (5, 5))
+        self.img = cv.blur(self.img, (5, 5))
-        plt.xticks([]), plt.yticks([])
+        plt.imshow(self.img)
-        plt.imshow(blur)
         print("Blurring filter")
 
 
@@ -43,6 +49,6 @@ class filter_gaussian(filter):
         super().__init__(input_file, output_file, img)
 
     def apply(self):
-        blur = cv.GaussianBlur(self.img, (5, 5), 0)
+        self.img = cv.GaussianBlur(self.img, (5, 5), 0)
-        plt.xticks([]), plt.yticks([])
+        plt.imshow(self.img)
         print("Gaussian filter")

src/main.py

@@ -12,25 +12,36 @@ import matplotlib.pyplot as plt
 # Import custom image filter library
 import filters as flt
 
-class app:
+class apply_filters:
     def __init__(self):
         self.parse_arguments()
         self.input_file = self.args.input_file
         self.output_file = self.args.output_file
         self.img = plt.imread(self.input_file)
-        self.dpi = self.args.dpi
+        self.dimensions = self.img.shape
+        self.print_debug(self.dimensions)
+        self.dpi = self.args.dpi # should be around 500-1000dpi
+        self.convert_dpi()
         self.filters = self.args.filters
-        self.apply_filters()
+        self.apply_filter()
 
     def parse_arguments(self):
         parser = ap.ArgumentParser(prog = 'main.py', description = 'loads and stores image')
         parser.add_argument("-i", "--input_file", help = "Input file", required = True)
         parser.add_argument("-o", "--output_file", help = "Output file", required = True)
         parser.add_argument('-d', "--dpi", type = int, required = True)
-        #parser.add_argument( '-s', '--size')
+        # file with default presets
+        #parser.add_argument('-pf', "--preset_file")
         parser.add_argument('filters', type = str, nargs = '*')
         self.args = parser.parse_args()
 
+    def convert_dpi(self):
+        height = self.dimensions[0]
+        width = self.dimensions[1]
+        self.height = height / self.dpi * 25.4 # conversion to milimeters
+        self.width = width / self.dpi * 25.4
+        self.print_debug([self.height, self.width, self.dimensions[2]])
+
     def filter_factory(self, filter_name):
         if filter_name == "average":
             return flt.filter_average
@@ -41,14 +52,32 @@ class app:
         else:
             raise ValueError("Invalid filter name")
 
-    def apply_filters(self):
+    def resize_img(self):
-        for filter in self.filters:
+        # resize img to the new width
-            filter = self.filter_factory(filter)
+        if(False):
+            print('')
+
+    def apply_filter(self):
+        if len(self.filters) == 0:
+            # save original image
+            filter = flt.filter_none
+            filter.apply(self)
+        else:
+            for filter_name in self.filters:
+                # only one takse effect?
+                filter = self.filter_factory(filter_name)
                 filter.apply(self)
         self.save_image()
 
+    def print_debug(self, dimensions):
+        print("Height: " + str(dimensions[0]))
+        print("Width: " + str(dimensions[1]))
+        #print("Channels: " + str(dimensions[2]))
+
     def save_image(self):
         # Save processed image
+        plt.xticks([]), plt.yticks([])
+        plt.axis('off')
         plt.savefig(self.output_file)
 
-app = app()
+app = apply_filters()