Hopefully fixed dpi problems, reworked filter applying pipeline.

src/main.py

@@ -7,17 +7,18 @@
 import argparse as ap
 import sys
 import json
-from datetime import datetime
+#from datetime import datetime
 
 # Libraries for image processing
 import numpy as np
 import matplotlib.pyplot as plt
-from PIL import Image
+#from PIL import Image
 import cv2 as cv
 
 # Import custom image filter library
 import filters as flt
 
+
 class apply_filters:
     def __init__(self):
         # Parse arguments from command line
@@ -34,32 +35,33 @@ class apply_filters:
             self.preset_name = self.args.config[1]
             self.config = json.load(open(self.config_file))
             self.parse_conf()
-            # If no preset name given, create one from time
-            #self.preset_name = "preset_" + datetime.now().strftime("%d_%m_%Y_%H_%M_%S")
 
         # If no config file given, expect filters in command line
         else:
             self.filters = self.args.filters
 
-        # Convert dimensions
-        self.img = Image.open(self.input_file)
-        if self.img is None:
-            sys.exit("Could not load the fingerprint.")
-        #self.convert_dpi()
-        #self.resize_image()
+        #read as numpy.array
+        self.img = plt.imread(self.input_file)
+    
+        self.width = self.img.shape[1]
+        self.height = self.img.shape[0]
+        print(self.width, self.height)
+        
+        fig = plt.figure(figsize = (self.width/self.dpi, self.height/self.dpi), 
+            frameon = False, dpi = self.dpi)
     
-        #convert to numpy array for further processing
-        self.img = np.array(self.img)
+        ax = plt.Axes(fig, [0., 0., 1., 1.])
+        ax.set_axis_off()
+        fig.add_axes(ax)
         
         if self.mirror:
             self.mirror_image()
 
         # Apply all filters
-        self.apply_filter()
+        self.apply_filter(fig, ax)
 
 
     def parse_conf(self):
-
         # Parse configuration file if given.
         try:
             self.filters = self.config[self.preset_name]
@@ -96,24 +98,17 @@ class apply_filters:
     def filter_factory(self, filter_name):
         # selects filter method of filters library
         # better this than a 100 if/else
+        print("Applying " + filter_name + " filter", file = sys.stderr)
         return getattr(flt, filter_name)
 
 
-    def convert_dpi(self):
-
-        # conversion from inches to milimeters
-        self.size = np.empty(2)
-        self.size[0] = self.img.size[0]  # / self.dpi * 25.4 # width
-        self.size[1] = self.img.size[1]  # / self.dpi * 25.4 # height
-
-
     def resize_image(self):
 
         # open image as python image object
         print("Resize image", file = sys.stderr)
 
         self.convert_dpi()
-        #self.img = self.img.resize((np.array(self.size)).astype(int))
+        self.img = self.img.resize((np.array(self.width, self.height)).astype(int))
 
 
     def mirror_image(self):
@@ -124,17 +119,16 @@ class apply_filters:
         self.img = cv.flip(self.img, 1)  # 1 for vertical mirror
 
 
-    def apply_filter(self):
+    def apply_filter(self, fig, ax):
 
         if len(self.filters) == 0:
-            # save original image
-            filter = flt.filter_none
-            filter.apply(self)
+            # No filter given, just save the image
+            pass
         else:
             for filter_name in self.filters:
                 filter = self.filter_factory(filter_name)
                 filter.apply(self)
-        self.save_image()
+        self.save_image(fig, ax)
 
 
     def print_size(self, size):
@@ -142,14 +136,11 @@ class apply_filters:
         print("Height: " + str(size[1]), file = sys.stderr)
 
 
-    def save_image(self):
+    def save_image(self, fig, ax):
         # Save processed image.
-        plt.xticks([]), plt.yticks([])
-        plt.axis('off')
         print("Saving image", file = sys.stderr)
-
-        # TODO idk what dpi means, and if it should be put in here
-        plt.savefig(self.output_file)#, dpi=self.dpi)
+        ax.imshow(self.img)
+        fig.savefig(fname=self.output_file)
 
 
 app = apply_filters()