Fixed issues with filter library, missing filter parameter, added comments.

src/config_parser.py

@@ -113,7 +113,7 @@ def parse_params(params):
                        "diameter", "sigmaColor", "sigmaSpace", 
                        "patch_size", "patch_distance", "weight", 
                        "amount", "radius", "percent", 
-                       "threshold",
+                       "threshold", "h",
                        "margin", "color"
                        }
 

src/filters.py

@@ -181,7 +181,6 @@ class block_match(img_filter):
         self.img = np.uint8(self.img)
 
 
-
 class unsharp_mask_scikit(img_filter):
     ''' Unsharp mask filter from scikit. 
 
@@ -233,7 +232,7 @@ class unsharp_mask_pil(img_filter):
 
 class farid(img_filter):
     ''' Farid filter from filters.
-    Not sure what this might be used for yet.
+    Finds edges of the image.
     '''
 
     def __init__(self, img):
@@ -242,7 +241,7 @@ class farid(img_filter):
     def apply(self, _):
 
         self.img = skiflt.farid(self.img)
-        self.img = np.uint8(self.img)
+        self.img = np.uint8(self.img*255)
 
 
 # ------------------ RIDGE EXTRACTION FILTERS ------------------#
@@ -250,6 +249,7 @@ class farid(img_filter):
 
 class meijering(img_filter):
     ''' Meijering filter from scikit-image filters.
+    Finds continuous ridges.
     '''
 
     def __init__(self, img):
@@ -263,7 +263,7 @@ class meijering(img_filter):
 
 class sato(img_filter):
     ''' Meijering filter from scikit-image filters.
-    Exctracts black ridges.
+    Exctracts continuous ridges.
     '''
 
     def __init__(self, img):
@@ -304,7 +304,6 @@ class invert(img_filter):
         self.img = np.uint8(self.img)
 
 
-
 class scale_values(img_filter):
     ''' Scale values of the image to use the entire range of data type.
     This should remove the line height issues.
@@ -313,7 +312,7 @@ class scale_values(img_filter):
     def __init__(self, img):
         super().__init__(img)
 
-    def apply(self, params):
+    def apply(self, _):
         # scale once for inverted image and once for original
         # this is done to get the full value range of the data type
         # which might help getting exact line height on stl model
@@ -323,10 +322,11 @@ class scale_values(img_filter):
         self.img = cv.bitwise_not(tmp.astype(np.uint8))
         coef = 255 / np.max(tmp)
         tmp = tmp * coef
-        self.img = np.uint8(tmp)
 
 
 class binarize(img_filter):
+    ''' Binarization filter from opencv.
+    '''
     def init(self, img):
         super().__init__(img)
 
@@ -337,7 +337,6 @@ class binarize(img_filter):
         self.img = np.uint8(self.img)
 
 
-
 class binarize_otsu(img_filter):
     ''' Otsu binarization filter from opencv.
     '''
@@ -349,7 +348,6 @@ class binarize_otsu(img_filter):
         self.img = np.uint8(self.img)
 
 
-
 class add_margin(img_filter):
     def init(self, img):
         super().__init__(img)
@@ -369,9 +367,7 @@ class add_margin(img_filter):
 # ---------------------- MORPHOLOGICAL OPS --------------------------#
 
 class erode(img_filter):
-    ''' General morphological operations from OpenCV.
-
-    Can be used with MORPH_OPEN, MORPH_CLOSE, MORPH_DILATE, MORPH_ERODE and more as 'op'.
+    ''' Erosion morphological operation from OpenCV module.
     '''
 
     def __init__(self, img):
@@ -389,9 +385,7 @@ class erode(img_filter):
 
 
 class dilate(img_filter):
-    ''' General morphological operations from OpenCV.
-
-    Can be used with MORPH_OPEN, MORPH_CLOSE, MORPH_DILATE, MORPH_ERODE and more as 'op'.
+    ''' Dilation morphological operation from OpenCV module.
     '''
 
     def __init__(self, img):