[core][components matching] Cleaning

darfix/core/componentsMatching.py

@@ -26,7 +26,7 @@
 
 __authors__ = ["J. Garriga"]
 __license__ = "MIT"
-__date__ = "21/01/2020"
+__date__ = "28/02/2020"
 
 import cv2
 import numpy
@@ -218,29 +218,6 @@ class ComponentsMatching():
                     assert all((isinstance(match, cv2.DMatch) for match in values)
                                for values in matches.values()), \
                         "Dictionary `matches` has to contain values of type `cv2.DMatch`"
-                    """
-                    if len(matches[(i, j)])>MIN_MATCH_COUNT:
-                        kp2 = self.components[id2][j].keypoints
-                        src_pts = numpy.float32([kp1[m.queryIdx].pt for m in matches[(i, j)]]).reshape(-1,1,2)
-                        dst_pts = numpy.float32([kp2[m.trainIdx].pt for m in matches[(i, j)]]).reshape(-1,1,2)
-
-                        M, mask = cv2.findHomography(src_pts, dst_pts, cv2.RANSAC,5.0)
-                        matchesMask = mask.ravel().tolist()
-
-                        h,w = component.image.shape
-                        pts = numpy.float32([ [0,0],[0,h-1],[w-1,h-1],[w-1,0] ]).reshape(-1,1,2)
-                        dst = cv2.perspectiveTransform(pts,M)
-
-                        img2 = cv2.polylines(img2,[numpy.int32(dst)],True,255,3, cv2.LINE_AA)
-
-                    else:
-                        print("Not enough matches are found - %d/%d" % (len(matches[(i,j)]),MIN_MATCH_COUNT))
-                        matchesMask = None
-
-                    draw_params = dict(matchColor = (0,255,0), # draw matches in green color
-                                       singlePointColor = None,
-                                       matchesMask = matchesMask, # draw only inliers
-                                       flags = 2)"""
 
                     img = cv2.drawMatches(self.descriptors[id1][i].image,
                                           self.descriptors[id1][i].keypoints,